Revisionist History – Aliens, Secrets and Conspiracies

And ye shall know the truth, and the truth shall make you free” John 8:32

Every once in a while you learn something new that makes you completely rethink how/why an event actually happened. 

And then you consider how it affects the rest of our country and our lives.

This is one of those stories.


Over a decade ago, I was a public official and was at one of our commission meetings on the coast of California. A fellow commissioner and I decided to take a long lunchtime walk along the coast. As we chatted, we realized we had both worked on several of the same very classified programs. His involvement was in acquisition and finance, while mine was more deeply connected to the engineering development of the project and hands-on with the operators on site.

We Got Our Advanced Technology From Aliens
While we both were discreet about not talking about specifics, we recognized the projects we had worked on. So you can imagine my surprise when he turned to me and casually said, “You know this technology came from aliens.” I laughed, thinking that obviously he must be joking. But as we continued walking he continued on, claiming, “You know the equipment you worked on and stuff that followed came from our secret alien investigation site at Wright Patterson Air Force Base. All we did was reverse engineer Alien technology.” This time I stopped in my tracks and looked at him to see if he was smiling. I was puzzled as he looked dead serious. He explained that there was no possible way we could be doing what we were doing using existing technology. Before I changed the subject I asked him how he knew this, he replied with absolute sincerity, “I was head of acquisition on the program. I was briefed on the project. That’s what they told us and they swore us to secrecy.“

I really didn’t know how to process this. He was really a smart and level-headed guy. In fact he was the mayor at the time of Rancho Palos Verde. It took me a mile or two into our walk to rethink everything I knew about the project (even then it had been in decades past), including having sat with a few of the engineers (some strange, but not aliens) as they were designing the system (with me trying to keep up with the revised blueprints in document control), and then watching the system being built and assembled. While it had required incredibly creative engineering, and applying technology on a scale so massive no commercial company could afford it, this system was built by smart people with no aliens involved. But he was equally convinced they were. Over our time together on the commission we took more walks, had lots more to talk about, but we never broached the subject again. 

Every once in a while, for the next few years, I puzzled on how he could have been so sure of something that I was sure was completely wrong.

We Did Tell Them It Was Aliens
Fast forward 15 years, and my world view of that conversation was upended when I read in the Wall Street Journal that the Department of Defense had been running a disinformation campaign, briefing finance and acquisition people that the technology for these classified programs was coming from aliens. (Take a minute and read the article.)

All of a sudden our coast-side conversation from a decade and a half ago made sense to me. Most of our most compartmentalized programs have different levels of what was called “need to know.” I never paid much attention as I was read all the way into the technical and operational details of these programs. I vaguely knew that others got fewer details, but as I was just discovering, others had received active disinformation. In a few cases, security officers were even using fake photos and documents to create the Alien cover-story for secret-weapons programs.

It turns out my fellow commissioner had been briefed by the U.S. government that it was Aliens, and he went to his grave believing it so. 

Are you going to believe me or your lying eyes?
What’s interesting is what happened after the news came out that the Alien story was government disinformation. A large percentage of people who were briefed, now “doubled down” and believed “we got the technology from Aliens” even more strongly – believing the new information itself was a coverup. Many dismissed the facts by prioritizing how they felt over reality, something we often see in political or religious contexts. (“Are you going to believe me or your lying eyes?”)

I wondered how my friend would have reacted.

Secrecy, Disinformation, and a Higher Power
While on its face this is an amusing story about secrecy, it’s really about the intersection of the secrecy’s impact on society and its role in misinformation, manipulation, the creation of cynicism and mistrust, and our need to believe in a higher power.

Manipulation
An example of secrecy used for manipulation in the 20th century was when the National Security Agency Venona project unmasked Soviet spies in the U.S. Even though this was one of the nation’s most secret programs, the FBI leaked its findings to Joe McCarthy and Richard Nixon. They used this classified knowledge to manipulate the American public, fueling McCarthyism and Richard Nixon’s career. 50 years later, when Venona was made public historians substantively revised the history of U.S. Cold War politics. 

In the 21st century Social Media misinformation (e.g. Chinese and Russian influence campaigns, Qanon conspiracies) will look like toys next to the AI-driven manipulation that’s about to come.

Cynicism and mistrust
Secrecy created 75 years of cynicism and mistrust, when the U.S. began launching highly classified reconnaissance balloons (story here), and later the U-2 and SR-71 spy planes. These top secret projects gave rise to decades of UFO sightings. Instead of acknowledging these sightings were from classified military projects the Department of Defense issued cover stories (“you saw weather balloons”) that weren’t believable.

Governments and companies have always kept secrets and used misinformation and manipulation. However, things stay secret way too long – for many reasons – some reasonable (we’re still using the same methods – reconnaissance technology, tradecraft, or, it would harm people still alive – retired spies, etc) or not so reasonable (we broke U.S. or international laws – COINTELPRO, or it would embarrass us or our allies – Kennedy assassination, or the Epstein files).  

Secrecy increases the odds of conspiracy beliefs. Because evidence can’t be checked, contradictions can’t be audited, a government “cover-up” becomes a plausible explanation. People don’t tolerate “I don’t know” for long when stakes are high (stolen elections, identity, national crises, the meaning of life, or what happens when we die). That vacuum gets filled by the most emotionally satisfying model: a hidden “higher power” concealing information and controlling events.

Summary
Just as social media replaced traditional news sources, AI-driven summaries of current events are likely to replace our understanding of the world around us. What happens to trust when AI manipulates human’s tendency to embrace conspiracy theories? Who will define the truth in the brave new world?

And by the way, I’m still pretty sure we didn’t get it from Aliens.

Making the Wrong Things Go Faster at The Department of War

This article previously appeared in Defense Scoop

The Department of War (DoW) senior Acquisition leadership (the people who decide what and how the DoW buys equipment and services) now is headed by people from private capital (venture capital and private equity.) 

The Department of War is in the midst of once-in-a-lifetime changes of how it acquires weapons, software and systems. The new Warfighting Acquisition System rewards speed and timely delivery of things that matter to the Warfighter. But this new system is at risk of making the wrong things go faster.

Here’s why and what they should do.


What Now?
Acquisition in the DoW is being reorganized how a Private Equity would reorganize a large company. They bring in (or empower) a new operating team, swap executives, change incentives, kill things not core to their mission, cut costs, invest for growth, and restructure to find additional financing.

That’s being played out at the Department of War right now. The announcement of the  consolidation of individual weapons systems (each of which had their own silos of Requirements, Test/Evaluation, Budgeting, and Acquisition) into a unified Portfolio Acquisition Executive, is a classic Private Equity strategy. Instead of 100s of programs operating with separate budgets, across different Program Executive Offices, the intent of the Portfolio Acquisition Executives is to consolidate overlapping programs, eliminate the redundant ones, pick winners, kill losers, get rid of processes that kill speed, and focus on rapid deployment.

What’s Missing?
Organizing by Portfolio Acquisition Executives is a great start, but simply consolidating the parts of the defense Acquisition system that were broken under one umbrella organization won’t make it better. Making bad ideas go faster should not be the goal. However, we’re at risk of doing just that. (Pete Newell at BMNT has been reminding me of this for years.)

For example, many of these new Portfolio executives are managing their programs by holding monthly reviews of proposed investments and current portfolio performance (just like private investors.) Here they’ll decide which programs get funded, which get more funding, and which should stop. (Actually having a regular process to kill programs early is sorely needed.) These are great ideas. However, if the meetings start by reviewing progress of prototypes to show that the technology works or that warfighters want it, and funds progress on those metrics, it misses the changes needed in an effective acquisition system.

The result will be building a faster version of a weapons requirements process that starts with a top-down list of features, or worse, shiny tech products (e.g. “I need drones.”) This “requirements first” process is what will drive the “bad ideas faster” problem.

A more productive approach – one that delivers truly decisive capabilities – would be to build a different process upfront – a rigorous problem identification and validation phase on the front-end of every acquisition program.

This process would start with a wide funnel of problems, ideas, technology, each with a 10-line problem summary that describes the  specific challenge to address; why it can’t be solved currently; what it will take to solve it; and how a solution will be funded and deployed in the field.

The goal would be to 1) consolidate problems that may be different descriptions of the same core problem, and/or 2) discover if the problems are a symptom of something more complex.

Then each problem would go through an iterative process of problem and technical discovery. This will help define what a minimum deployable product and its minimum constraints (security, policy, reliability) should be, such as how long the solution would take to deploy, the source of funding for scale and who needs to buy-in.

This exercise will keep the focus where it needs to be — not on reforming a system but on delivering things to warfighters with speed and urgency so we can actually deter or win a war.

Want to Keep Up With the Changes in the DoW?

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The Department of War Directory

TL;DR   DoW Directory revision 3 is Online here, Order a print copy here.


In November 2025 the Department of War (DoW) unveiled the biggest changes in 60 years of how they will buy weapons and services. This month Congress, with bipartisan support, rapidly made them into law in the National Defense Authorization Act (the NDAA) – 3,096 pages of legislative text and 636-page Joint Explanatory Statement.

This is a top-to-bottom transformation of how the DoW plans and buys weapons, moving from contracts that prioritized process and how much a weapon costs, to how fast it can be delivered. It’s the Lean Startup plan for the Department of War.

Instead of buying custom-designed weapons, the DoW will prioritize a “commercial first” strategy – buying off-the-shelf things that already exist and using fast-track acquisition processes, rather than the cumbersome existing Federal Acquisition Regulations. To manage all of this, they are reorganizing the entire Acquisition ecosystem across the Services.

December 2025 Directory Update – Now Available Online and in Print
Our December 2025 update to the Directory (Online here, Print copy here) describes the New Warfighting Acquisition Organizations – The Portfolio Acquisition Executive and the Capability Program Managers.

If you’re a startup trying to sell to the DoW, until now the biggest barrier has been a lack of information. That changes with this 3rd edition of the 2025 DoW Directory.

Online here, Order a print copy here.


The Department of War Just Shot the Accountants and Opted for Speed

Last week the Department of War finally killed the last vestiges of Robert McNamara’s 1962 Planning, Programming, and Budgeting System (PPBS). 

The DoW has pivoted from optimizing cost and performance to delivering advanced weapons at speed. Taking decades to deliver weapons is no longer an option. The DoW has joined the 21st century and adopted Lean Methodology.

Two organizations ought to be very concerned – China and the defense prime contractors.


Secretary of War Pete Hegseth unveiled the biggest changes in 60 years of how the Department of War (DoW) plans for and buys weapons and services. These changes aren’t a minor attempt at reform. It’s a top-to-bottom transformation of how the DoW plans and buys weapons, moving from contracts that prioritize how much a weapon costs to how fast it can be delivered. 

Instead of buying custom-designed weapons, the DoW will prioritize buying off-the-shelf things that already exist, and using fast-track acquisition processes, rather than the cumbersome existing Federal Acquisition Regulations. To manage all of this, they are reorganizing the entire Acquisition ecosystem across the Services. These changes implement every piece of good advice the DoD had gotten in the last decade and had previously ignored. 

The DoW is being redesigned to now operate at the speed of Silicon Valley, delivering more, better, and faster. Our warfighters will benefit from the innovation and lower cost of commercial technology, and the nation will once again get a military second to none.  

It’s big, bold and brave and long overdue.

Background
In 1962 Robert McNamara, the then-Secretary of Defense (and ex CFO of Ford), discovered he had inherited a Defense Department whose spending was out of control. During the 1950s the Air Force built five different types of fighter planes, three generations of bombers, and three generations of ICBMs. The Navy had created a fleet of nuclear-powered attack and ballistic missile submarines and aircraft carriers. The Army bought three generations of its own nuclear-capable missile systems. Many of these systems duplicated capabilities of other services. But most importantly, the Services, in their rush to buy new technology, hadn’t adequately budgeted for the cost of operating, training, maintaining, and sustaining what they had bought. 

In response, Secretary McNamara imposed the discipline of a Chief Financial Officer. He put in place a formal system of Planning (capability gaps, risks, scenarios, threats assumptions), Programming (5-year plans, affordability, quantities, phasing, unit fielding plans) and Budgeting that has lasted 60+ years. An entire defense university was created to train tens of thousands of contracting officers how to follow the detailed rules. Large contractors (the Primes) learned to work with this paperwork-heavy Defense acquisition system and lived with the very long time it took the DoD to buy. 

The Problem
This unwieldy and lethargic acquisition system was adequate for over half a century when our adversary was the Soviet Union who had an equally complex acquisition system, or ISIS and Al Qaida who had none.

However, in the last decade it became painfully obvious that our acquisition system was broken and no longer worked for the world we lived in. Our existing defense industrial base suffers from schedule overruns and huge backlogs; cost increases have become the norm. We’ve been outpaced by adversaries. China, for example, implemented a much more agile system that delivered weapons in a fraction of the time it took us. 

We needed a defense industrial base we could count on to scale in a crisis rather than one that will wait for money before taking action.

The war in Ukraine showed that even a small country could produce millions of drones a year while continually iterating on their design to match changes on the battlefield. (Something we couldn’t do.) Meanwhile, commercial technology from startups and scaleups (fueled by an immense pool of private capital) has created off-the-shelf products, many unmatched by our federal research development centers or primes, that can be delivered at a fraction of the cost/time. But the DoW acquisition system was impenetrable to startups. 

Our Acquisition system was paralyzed by our own impossible risk thresholds, its focus on process not outcomes, and became risk averse and immoveable. 

We needed an acquisition system that could deliver needed things faster.

Reminder: What Did Our Acquisition System Look Like Until Last Week?
The Army, Navy, Air Force, Marines and Space Force train soldiers, sailors and airmen, and specify and buy the weapons for their Service. (It’s the Combatant Commands, e.g. INDOPACOM, CENTCOM, etc., who fight the wars.)

One of the confusing things about Acquisition in the DoW is that it is more than just the buyers of equipment. In the DoW Acquisition with capital “A”, includes the entire end-to-end process – from concept, requirements, prototyping, testing, buying it, to using it and maintaining it.

In each of the Services, the current Acquisition system started with a group that forecast what the Service would need in the future and wrote requirements for future weapons/services/software. This process could take a year or more. Next, Service laboratories developed the technology, tested prototypes and concepts. This could take 3 to 6 years. Next, a vendor was selected and began to prototype and refine the systems. This added another 3 to 4 years. Finally, the system was ready to be built and delivered. It could take 1 to 2 years to deliver weapons in low rate production, or 5 to 10 years for something complex (e.g. aircraft, ships,  spacecraft). In the system we’re replacing the time from when a need was turned into a requirement to delivery of a weapon would take 8 to 16 years. As you can imagine, given the rate of change of current technology and new warfighting concepts our own Acquisition process was an obstacle to building a modern War Department.  

As an example, the Army’s current Acquisition system has 32,000 civilians and military (program managers, contracting officers, etc.) If you include the long tail of sustainment that’s another 165,000+ people. The Acquisition system in the Army (representative of the other services) looks like this:

What Was Wrong With this Process?

  • Responsibility in the Acquisition system was scattered across multiple, siloed organizations with no one individual responsible. 
  • The existing system was designed to acquire individual products (weapons, services, etc.) with a Program Executive Office to manage each effort that only indirectly solved warfighter problems. 
  • Requirements were written so that most everything the DoW bought was bespoke and required development from scratch. 
  • Acquisition was process-focused with rigid rules that emphasized compliance to contracting rules. 
  • Compliance to the rules and processes overrode speed of delivery
  • Weapons and systems development used sequential “waterfall” development processes which precluded learning, pivots and iterative design. ​
  • The result was that speed of delivery was on no one’s priority list.

Why Is The Warfighting Acquisition System A Big Deal?
While previous administrations tried to go around the process, this new system confronts it head on. It is a revolutionary  transformation in the Department of War. It was clearly designed by people who have worked in industry and understand commercial Lean Processes. This transformation will solve the DoW critical Acquisition problems by:

  • Prioritizing speed of delivery
  • Moving the focus from process to outcomes
  • Organizational redesign of the Acquisition process
  • Changing what weapons we ask for and how we prioritize what we need to buy
  • Changing the preferred vendors the DoW will buy from
  • Changing the contracting methods the DoW will use
  • Changing how we measure and reward success 
  • Changing how we educate Acquisition professionals
  • Insisting that disparate systems/vendors interoperate 

The New Warfighting Acquisition Organization – The Portfolio Acquisition Executive
To cut through the individual acquisition silos, the services are creating Portfolio Acquisition Executives (PAEs). 

Each Portfolio Acquisition Executive (PAE) is responsible for the entire end-to-process of the different Acquisition functions: Capability Gaps/Requirements, System Centers, Programming, Acquisition, Testing, Contracting and Sustainment. PAEs are empowered to take calculated risks in pursuit of rapidly delivering innovative solutions.

PAE Offices Are Matrix Organizations
Portfolio Acquisition Executives (PAEs) are organized as a matrix organization – using people from existing organizations – requirements, PEOs, sustainment, contracting etc. The PAEs themselves will have a small staff for coordination.

Portfolios Around Common Problems
In the past, Acquisition was organized by weapon systems and managed by Program Executive Offices. Portfolios will organize instead around common Warfighting Concepts, technologies, or operational integration needs.

Multiple Portfolios In Each Service
Each of the services are consolidating and reorganizing the functions of what were their Program Executive Offices into Portfolios. Program Executive Offices/Officers (PEOs) will become Capability Program Executives (CPEs), and act as a Portfolios’ acquisition arm.

(The examples below are from the Army. Other Services will have equivalent organizational designs for their Portfolios.)

The acquisition chain of authority runs directly from Capability Program Manager to PAE to the Service Acquisition Executive (SAE), with no intermediate offices or approval layers. (The Service Acquisition Executive for the Army is the Assistant Secretary for Acquisition, Logistics & Technology. For the Navy/Marines, the Assistant Secretary for Research, Development & Acquisition. For the Air Force/Space Force the Assistant Secretary for Acquisition, Technology & Logistics.)

The Army Has 6 Portfolio Acquisition Executives
For example, the Army will likely reorganize its 12 existing PEO offices to become part of 6 portfolios aligned with Army Warfighting Concepts and functions. Each of the 6 portfolios headed by a PAEs will be commanded by a Major General.

The likely 6 Army Portfolios are: 1) Maneuver, 2) Maneuver Air, 3)  Fires, 4) C2/CC2,  5) Agile Sustainment and Ammo, and 6) Layered Protection and CBRN. One additional portfolio, called the PIT, will likely include the Army’s Innovation at the Edge activities.

Army PAE Maneuver will likely combine elements of PEO Soldier, PEO Ground Combat Systems, Future Capabilities Division and Maneuver Divisions, Test and Evaluation Integrator, Strategic Contracting Office, and others. This portfolio will likely have the Abrams tank, XM30 Mechanized Infantry Combat Vehicle (replacing the M2 Bradley), the ISV (Infantry Squad Vehicle), Soldier Borne Mission Command program (SBMC), Next Generation Squad Weapon (NGSW), Soldier Borne Sensor (SBS) program, and Organization Clothing and Individual Equipment (OCIE).

Authority to Make Trade-offs
PAEs now have the authority to make trade-offs between cost, schedule and performance and apply flexible funding between weapons systems to rapidly deliver capabilities to the warfighter. This means focusing on fielding “good enough” technology instead of waiting for a product that meets every single requirement.

Army PAE Maneuver Air will likely combine elements of Program Executive Office Aviation, Aviation and Missile Command, Futures Command Future Vertical Lift team DEVCOM Aviation & Missile, and others. It will likely include the Long-Range Assault Aircraft (FLRAA) the Bell V-280 Valor (to replace the UH-60 Black Hawk), Uncrewed Aircraft Systems (UAS), Rotary and Fixed Wing, and Autonomy.

Program Executive Officers (PEOs) are Now Capability Program Executives (CPEs)
Inside each portfolio is a Capability Program Executive (CPE), typically a Brigadier General or a civilian SES. Capability Program Executives have similar roles and responsibilities as today’s PEOs. They are the Acquisition leader responsible for cradle-to-grave management of their programs within their portfolio.

Streamlined Layers of Bureaucracy
97 Army acquisition programs may be reassigned to align with the Army PAE reorganization. 46 organizations that were writing requirements likely will be consolidated into 9 Future Capability Directorates.

Army PAE Fires will likely combine elements from Program Executive Office Missiles and Space, Enterprise Information Systems, the Rapid Capabilities and Critical Technologies Office, Fires System Center, and others. It will likely include the Integrated Battle Command System (IBCS), Patriot/PAC-3, Precision Strike Missile (PrSM), Long-Range Hypersonic Weapon – Dark Eagle (LRHW), Common Autonomous Multi-Domain Launcher (CAML), Guam Defense and Golden Dome.

DoW Will Buy Commercial First
One of the biggest changes is the mandate for PAEs to buy Commercial Off the Shelf (COTS) products, modify them if necessary and only buy bespoke products as a last resort. This change by itself is going to send shockwaves through the existing Prime contractors.

It’s telling everyone that the playing field is now open to everyone. Forget who has more lobbyists on K-Street. Speed, mission impact, and innovation is what will be rewarded. What this means for startups is that if you can execute and deliver (not just PowerPoints) you can become a supplier to the DoW.  

Incentive Compensation to PAEs and Program Managers
PAEs will be judged on whether they deliver systems to the warfighter on time and on schedule. PAEs and Program Managers will have “incentive compensation” tied to “capability delivery time, competition, and mission outcomes. (How they’ll pay that kind of compensation for a member of the military remains to be seen.)

Incentives and Scorecards for Contractors
They’ll be managing their contractors with “time-indexed incentives” to make sure contractors deliver on time and on budget, using “scorecards” to keep tabs on how each portfolio is doing.

Army PAE C2/CC2 (Command and Control/Counter Command and Control) will likely combine elements of PEO Command, Control, Communications and Network.. And include NGC2, TITAN, TENCAP, Next Generation Constructive, STE

Non-Traditional Entry Points
Companies selling to the DoW previously had to comply with the impenetrable DFAR and FAR – the Defense and Federal Acquisition Regulations – with over 5,000 pages of complex rules. It was designed for buying Aircraft Carriers, not startup technology. 

Now the DoW is telling PAEs to toss those and use Non-FAR regulations like OTAs (Other Transaction Authorities). OTAs are not subject to the extensive, rigid rules and regulations of the DFAR. They allow for greater flexibility, speed, and allow the DoW to work with a broader range of innovative commercial companies. For startups this means massively reduced documentation, shorter timelines, and fewer barriers to working with the DoW.

PAEs Will Use Lean Methodology
Rather than fixed requirements and using waterfall development processes, the services are now insisting that vendors use Lean Methodology to set incremental and iterative delivery targets. That means they can field “good enough technology” that can be incrementally updated in the field and improved on a more frequent cadence.

The only requirement for each increment is that they need to target 1) an initial fielding date,
2) set a maximum cost of each unit and 3) meet the minimum standards for mission effectiveness. Other than that, PAEs have the authority that other attributes of the weapons/software can remain tradable throughout development to allow incremental enhancements and rapid delivery of subsequent increments. This includes the ability to waive technical standards and environmental and other compliance requirements, unless they are mandated by statute or safety.

One other interesting Lean mandate is that each PAE will set up lean technical advisory processes to inform accelerated decision-making, ensuring technical rigor without sacrificing speed.

Weapons Will Be Able to Talk to Each Other – By Design
The new PAEs are also tasked with insisting that all weapons across their programs use Modular Open System Architectures, including by asserting government purpose rights over critical software interfaces — a move that allows the Pentagon to retain the data rights needed to avoid “vendor lock” (weapon systems that can only be modified and/or repaired by the company that designed it).

Army PAE Agile Sustainment will likely combine elements of PEO Combat Support and Combat Service Support, PEO Solider and PEO Joint Program Office Armaments and Ammunition. It will likely include next generation Common Tactical Truck (CTT,) Family of Medium Tactical Vehicles (FMTV), 155mm, 6.8mm ammunition.

Two Vendors Through Initial Production
The DoW has painfully learned that having only one vendor selected leads to cost overruns and late projects. A new idea is that each critical acquisition program will have at least two qualified sources through initial production. While this will cost more upfront, it gives government leverage when it is strongest and enables them to re-compete modular components and find alternative suppliers if needed.

Design For Rapid Scale In a Crisis
PAEs have been told to establish acquisition strategies that decouple design from production to allow additional third-party suppliers to surge and rapidly scale manufacturing capacity in a crisis. They are to put in place  guidelines for wartime consumption rates through manufacturing and supply chain partnerships and alternative sources.

Army PAE Layered Protection and CBRN (Chemical, Biological, Radiological, and Nuclear) will likely combine elements of PEO JPEO-CBRND. It will likely include Joint Chemical Agent Detector, UIPE, Decontamination Family of Systems, Biometrics

PAE Officers Now Have More Time To Learn On the Job
A complaint from past acquisition program managers is that they would only be there for two or three years, and then off to their next assignment. Two years was not enough time to see a program through. Now PAEs will have 4-year tours, extendible for another 2 years.

PAEs Top to Bottom
Every military service has 60 days to tell the Secretary of War a list of portfolios it is proposing to be initially stood up. A full implementation plan is due in 90 days. All major acquisition activities across all Services are going to be transitioned to PAE portfolios within two years. 

Army PIT is the Army’s innovation initiatives at the edge. It’s the front door for startups wanting to partner with the Army. 

  • The PIT includes the Joint Innovation Outpost, the Global Tactical Edge Acquisition Directorate (G-TEAD) Marketplace, the FUZE program, and Disruptive Technologies. 
  • The G-TEAD Marketplace merges Prize Challenge events (e.g., Army xTech Program) and DEP submissions through open call announcements.
  • FUZE brings together the Army SBIR/STTR seed funding, MANTECH (Army Manufacturing Technology program), TMI (Tech Maturation Initiative) and XTech the Army’s scouting program. 

Reeducation Camp – Warfighting Acquisition University
To retrain/reeducate contracting and acquisition officers, the “Defense Acquisition University” will become the “Warfighting Acquisition University.” They have been ordered to stop compliance-focused training operations and in six months transform into a competency-based education institution.

The university will pivot to offer experiential team-based programs that work on real DoW challenges (does that ever sound like a description of Hacking for Defense.) And they’re going to have their students get out of the building and take part in industry-government exchanges. In the next six months they’re going to prioritize education and rotation programs to get their students exposure to commercial industry practices, manufacturing and operational expertise, and real-world problem-solving. All to develop Acquisition executives critical thinking and agile and rapid decision-making skills. (Note to DAU: we’ve been building these programs for a decade at the Stanford Gordian Knot Center for National Security Innovation. Our national security classes are in 60+ universities and we’re happy to help.)

The Joint Staff – Coordinating the Needs of All the Services
While each of the Services generated their own weapons requirements, plans and budgets, they all had to be approved by the Joint Staff (which reports to the Secretary of War) through a process called the JCIDS (Joint Capabilities Integration & Development System). In theory this was to coordinate each of the Service’s needs so they weren’t duplicating each other, to ensure that they were interoperable, and to give the Combatant Command a voice; and tie all the requirements to joint concepts – all of this needing to be done before Service weapons programs got funded and built.

The problem was that JCIDS moved at the speed of paperwork, not war, so the Secretary of War eliminated it earlier this year. (They kept part of it called the Joint Requirements Oversight Council but reoriented it from validating documents to identifying joint operational problems, which will drive the priorities for the entire department of War.) 

In JCIDS’ place the Secretary of War created three new organizations:

  • The Joint Acceleration Reserve, a pool of money set aside to quickly field promising capabilities.
  • The Requirements and Resourcing Alignment Board (RRAB) that will tie money directly to the top warfighting priorities and how much money each will get from the new Joint Acceleration Reserve.
  • The Mission Engineering and Integration Activity brings government, industry, and labs together early on to rapidly experiment, test, and prototype new tech.

It’s interesting to note that none of these changes at the Joint Staff have seemed to (at least publicly) filter down to the charter of the Services Portfolio Acquisition Executives (PAEs). The achilles heel of the Services Acquisition process appears that they are still planning to put the Requirements and Capability gap analysis up front.  Here’s why that’s a problem and how to fix it.

Foreign military sales
One other tangential decision in this redesign was not in acquisition but in sales. The DoW wants a greater emphasis on selling our weapons to our Allies. They’ve moved two agencies responsible for those functions – the Defense Technology Security Administration DTSA and the Defense Security Cooperation Agency (DSCA) – from OSD Policy to OSD Acquisition and Sustainment. 

This move is about selling more of our equipment, but makes no mention of buying any equipment from our allies.

Inferred But Not Mentioned
Pretty interesting that in this reorg no one has noticed that Elbridge Colby – Under Secretary for Policy – had three organizations taken away from him.  

  1. Defense Technology Security Administration DTSA
  2. Defense Security Cooperation Agency (DSCA)
  3. The Joint Production Accelerator Cell (JPAC) now renamed the Wartime Production Unit (WPU)

All three organizations were handed to Michael Duffey the Under Secretary for Acquisition & Sustainment. Regardless of the public statements the optics are not a vote of confidence.

Bigger and Better?
It appears that the Office of Strategic Capital may have been swallowed up by the Economic Defense Unit run by George Kolitdes. From all appearances the Economic Defense Unit is tasked to decouple our economy from China, using private and public capital. That means considering how to on-shore the critical components like minerals, chips, batteries, motors, PNT, etc.) The Acquisition announcement was how to buy things. This Economic Defense Unit is how do we ensure the things we buy are made with parts we know we can have an assured supply of?

Summary

  • Startups and the DoW are now speaking the same language – Lean, feedback from the field, pivots, iterative and incremental product design, speed to delivery.
  •  The DoW mandate to first buy commercial-off-the-shelf products is a once-in-a-lifetime opportunity for every startup and scaleup.
    • But you have to deliver. Don’t hand wave with PowerPoints.
    • DoW will be ruthless in shutting down and freezing out non-performers.
  • The use of Non-Federal Acquisition Regulations will eliminate huge amounts of paperwork. 
    • It eliminates one of the reasons to subcontract with a prime or other company 
  • DoW needs to be ruthless in reforming the compliance culture
  • Who to talk to in each service and how will they do business will be unclear for at least the next six months
    • Reorganizations will create uncertainty of who is the front door for startups, how the new rules apply, and who can commit to contracts.
    • The Army appears to be further along than the other services in putting a PAE organization in place.
  • In theory this is a knife to the heart of the Primes’ business model. 
    • They will flood Congress and the Executive Branch with infinite capital to change these rules.
    • It’s a race between private capital and public company lobbying money
  • Let’s hope these changes stick

Thanks to Pete Newell of BMNT for the feedback and insight.

How to Sell to the Dept of War – The 2025 PEO Directory – Now with 500 more names

The October 2025 PEO Directory – Update 2.

The Department of War (DoW) is one of the world’s largest organizations.  If you’re a startup trying to figure out who to call on and how to navigate the system, it can be – to put it politely – challenging.Those inside the DoW have little perspective of how hard it is to understand what to an outsider looks like in an impenetrable, incredibly complex system.

Insiders know who to call, and prime contractors have teams of people following broad area announcements and contracts, but if you’re startup, you have none of those relationships. (And with the advent of Social Media even our adversaries have better knowledge.)

If we’re serious about building a next generation defense ecosystem (not just buying the next shiny object), then this is the directory the Department of War should be publishing.

Until then, here’s the second update to the Department of War PEO Directory.
500 new names/organizations in this DoW phonebook and startup Go-to-Market Strategy playbook.

(See Appendix H for a summary of the changes.)

Downloads of the Directory can be found here.

Sign up for timely updates here.

No Science, No Startups: The Innovation Engine We’re Switching Off

Tons of words have been written about the Trump Administrations war on Science in Universities. But few people have asked what, exactly, is science? How does it work? Who are the scientists? What do they do? And more importantly, why should anyone (outside of universities) care?

(Unfortunately, you won’t see answers to these questions in the general press – it’s not clickbait enough. Nor will you read about it in the science journals– it’s not technical enough. You won’t hear a succinct description from any of the universities under fire, either – they’ve long lost the ability to connect the value of their work to the day-to-day life of the general public.)

In this post I’m going to describe how science works, how science and engineering have worked together to build innovative startups and companies in the U.S.—and why you should care.

(In a previous post I described how the U.S. built a science and technology ecosystem and why investment in science is directly correlated with a country’s national power. I suggest you read it first.)


How Science Works
I was older than I care to admit when I finally understood the difference between a scientist, an engineer, an entrepreneur and a venture capitalist; and the role that each played in the creation of advancements that made our economy thrive, our defense strong and America great.

Scientists
Scientists (sometimes called researchers) are the people who ask lots of questions about why and how things work. They don’t know the answers. Scientists are driven by curiosity, willing to make educated guesses (the fancy word is hypotheses) and run experiments to test their guesses. Most of the time their hypotheses are wrong. But every time they’re right they move the human race forward. We get new medicines, cures for diseases, new consumer goods, better and cheaper foods, etc.

Scientists tend to specialize in one area – biology, medical research, physics, agriculture, computer science, materials, math, etc. — although a few move between areas. The U.S. government has supported scientific research at scale (read billions of $s) since 1940.

Scientists tend to fall into two categories: Theorists and Experimentalists.

Theorists
Theorists develop mathematical models, abstract frameworks, and hypotheses for how the universe works. They don’t run experiments themselves—instead, they propose new ideas or principles, explain existing experimental results, predict phenomena that haven’t been observed yet. Theorists help define what reality might be.

Theorists can be found in different fields of science. For example:

Physics                    Quantum field theory, string theory, quantum mechanics
Biology                     Neuroscience and cognition, Systems Biology, gene regulation
Chemistry                Molecular dynamics, Quantum chemistry
Computer Science   Design algorithms, prove limits of computation
Economics               Build models of markets or decision-making
Mathematics            Causal inference, Bayesian networks, Deep Learning

The best-known 20th-century theorist was Albert Einstein. His tools were a chalkboard and his brain. in 1905 he wrote an equation E=MC2 which told the world that a small amount of mass can be converted into a tremendous amount of energy. When he wrote it down, it was just theory. Other theorists in the 1930s and ’40s took Einstein’s theory and provided the impetus for building the atomic bomb. (Leo Szilard conceived neutron chain reaction idea, Hans Bethe led the Theoretical Division at Los Alamos, Edward Teller developed hydrogen bomb theory.) Einstein’s theory was demonstrably proved correct over Hiroshima and Nagasaki.

Experimentalists
In addition to theorists, other scientists – called experimentalists – design and run experiments in a lab. The pictures you see of scientists in lab coats in front of microscopes, test tubes, particle accelerators or NASA spacecraft are likely experimentalists. They test hypotheses by developing and performing experiments. An example of this would be NASA’s James Webb telescope or the LIGO Gravitational-Wave Observatory experiment. (As we’ll see later, often it’s engineers who build the devices the experimentalists use.)

Some of these experimentalists focus on Basic Science, working to get knowledge for its own sake and understand fundamental principles of nature with no immediate practical use in mind.

Other experimentalists work in Applied Science, which uses the findings and theories derived from Basic Science to design, innovate, and improve products and processes.

Applied scientists solve practical problems oriented toward real-world applications. (Scientists at Los Alamos weretrying to understand the critical mass of U-235 (the minimum amount that would explode.) Basic science lays the groundwork for breakthroughs in applied science. For instance: Quantum mechanics (basic science) led to semiconductors which led to computers (applied science). Germ theory (basic science) led to antibiotics and vaccines (applied science). In the 20th century Applied scientists did not start the companies that make end products. Engineers and entrepreneurs did this. (In the 21st century more Applied Scientists, particularly in life sciences, have also spun out companies from their labs.)

Scientists


Where is Science in the U.S. Done?
America’s unique insight that has allowed it to dominate Science and invention, is that after WWII we gave Research and Development money to universities, rather than only funding government laboratories. No other country did this at scale.

Corporate Research Centers
In the 20th century, U.S. companies put their excess profits into corporate research labs. Basic research in the U.S. was done in at Dupont, Bell Labs, IBM, AT&T, Xerox, Kodak, GE, et al.

This changed in 1982, when the Securities and Exchange Commission ruled that it was legal for companies to buy their own stock (reducing the number of shares available to the public and inflating their stock price.) Very quickly Basic Science in corporate research all but disappeared. Companies focused on Applied Research to maximize shareholder value. In its place, Theory and Basic research is now done in research universities.

Research Universities
From the outside (or if you’re an undergraduate) universities look like a place where students take classes and get a degree. However, in a research university there is something equally important going on. Science faculty in these schools not only teach, but they are expected to produce new knowledge—through experiments, publications, patents, or creative work. Professors get grants and contracts from federal agencies (e.g., NSF, NIH, DoD), foundations, and industry. And the university builds Labs, centers, libraries, and advanced computing facilities that support these activities.

In the U.S. there are 542 research universities, ranked by the Carnegie Classification into three categories.

R1: 187 Universities – Very High Research Activity
Conduct extensive research and award many doctoral degrees.
Examples: Stanford, UC Berkeley, Harvard, MIT, Michigan, Texas A&M …

R2: 139 Universities – High Research Activity
Substantial but smaller research scale.
Examples: James Madison, Wake Forest, Hunter College, …

R3: 216 Research Colleges/Universities
Limited research focus; more teaching-oriented doctoral programs.
Smaller state universities

Why Universities Matter to Science
U.S. universities perform about 50% of all basic science research (physics, chemistry, biology, social sciences, etc.) because they are training grounds for graduate students and postdocs. Universities spend ~$109 billion a year on research. ~$60 billion of that $109 billion comes from the National Institutes for Health (NIH) for biomedical research, National Science Foundation (NSF) for basic science, Department of War (DoW), Department of Energy (DOE), for energy/physics/nuclear, DARPA, NASA. (Companies tend to invest in applied research and development, that leads directly to saleable products.)

Professors (especially in Science, Technology, Engineering and Math) run labs that function like mini startups. They ask research questions, then hire grad students, postdocs, and staff and write grant proposals to fund their work, often spending 30–50% of their time writing and managing grants. When they get a grant the lead researcher (typically a faculty member/head of the lab) is called the Principal Investigator (PI).

The Labs are both workplaces and classrooms. Graduate students and Postdocs do the day-to-day science work as part of their training (often for a Ph.D.). Postdocs are full-time researchers gaining further specialization. Undergraduates may also assist in research, especially at top-tier schools.

(Up until 2025, U.S. science was deeply international with ~40–50% of U.S. basic research done by foreign-born researchers (graduate students, postdocs, and faculty). Immigration and student visas were a critical part of American research capacity.)

The results of this research are shared with the agencies that funded it, published in journals, presented at conferences and often patented or spun off into startups via technology transfer offices. A lot of commercial tech—from Google search to CRISPR—started in university labs.

Universities support their science researchers with basic administrative staff (for compliance, purchasing, and safety) but uniquely in the U.S., by providing the best research facilities (labs, cleanrooms, telescopes), and core scientific services: DNA sequencing centers, electron microscopes, access to cloud, data analysis hubs, etc. These were the best in the world – until the sweeping cuts in 2025.

Engineers Build on the Work of Scientists
Engineers design and build things on top of the discoveries of scientists. For example, seven years after scientists split the atom, it took 10s of thousands of engineers to build an atomic bomb. From the outset, the engineers knew what they wanted to build because of the basic and applied scientific research that came before them.

Scientists Versus Engineers

Engineers create plans, use software to test their designs, then… cut sheet metal, build rocket engines, construct buildings and bridges, design chips, build equipment for experimentalists, design cars, etc.

As an example, at Nvidia their GPU chips are built in a chip factory (TSMC) using the Applied science done by companies like Applied Materials which in turn is based on Basic science of semiconductor researchers. And the massive data centers OpenAI, Microsoft, Google, et al that use Nvidia chips are being built by mechanical and other types of engineers.

My favorite example is that the reusable SpaceX rocket landings are made possible by the Applied Science research on Convex Optimization frameworks and algorithms by Steven Boyd of Stanford. And Boyd’s work was based on the Basic science mathematical field of convex analysis (SpaceX, NASA, JPL, Blue Origin, Rocket Lab all use variations of Convex Optimization for guidance, control, and landing.)

Startup Entrepreneurs Build Iteratively and Incrementally
Entrepreneurs build companies to bring new products to market. They hire engineers to build, test and refine products.

Engineers and entrepreneurs operate with very different mindsets, goals, and tolerances for risk and failure. (Many great entrepreneurs start as engineers e.g., Musk, Gates, Page/Brin). An engineer’s goal is to design and deliver a solution to a known problem with a given set of specifications.

In contrast, entrepreneurs start with a series of unknowns about who are the customers, what are the wanted product features, pricing, etc. They retire each of these risks by building an iterative series of minimum viable products to find product/market fit and customer adoption. They pivot their solution as needed when they discover their initial assumptions are incorrect. (Treating each business unknown as a hypothesis is the entrepreneurs’ version of the Scientific Method.)

Venture Capitalists Fund Entrepreneurs
Venture capitalists (VCs) are the people who fund entrepreneurs who work with engineers who build things that applied scientists have proven from basic researchers.

Unlike banks which will give out loans for projects that have known specifications and outcomes, VCs invest in a portfolio of much riskier investments. While banks make money on the interest they charge on each loan, VCs take part ownership (equity) in the companies they invest in. While most VC investments fail, the ones that succeed make up for that.

Most VCs are not scientists. Few are engineers, some have been entrepreneurs. The best VCs understand technical trends and their investments help shape the future. VCs do not invest in science/researchers. VCs want to minimize the risk of their investment, so they mostly want to take engineering and manufacturing risk, but less so on applied science risk and rarely on basic research risk. Hence the role of government and Universities.

VCs invest in projects that can take advantage of science and deliver products within the time horizon of their funds (3–7 years). Science often needs decades before a killer app is visible.

As the flow of science-based technologies dries up, the opportunities for U.S. venture capital based on deep tech will decline, with its future in countries that are investing in science – China or Europe.

Why Have Scientists? Why Not Just a Country of Engineers, Entrepreneurs and VCs (or AI)?
If you’ve read so far, you might be scratching your head and asking, “Why do we have scientists at all? Why pay for people to sit around and think? Why spend money on people who run experiments when most of those experiments fail? Can’t we replace them with AI?”

The output of this university-industry-government science partnership became the foundation of Silicon Valley, the aerospace sector, the biotechnology industry, Quantum and AI. These investments gave us rockets, cures for cancer, medical devices, the Internet, Chat GPT, AI and more.

Investment in science is directly correlated with national power. Weaken science, you weaken the long-term growth of the economy, and national defense.

Tech firms’ investments of $100s of billions in AI data centers is greater than the federal government’s R&D expenditures. But these investments are in engineering not in science. The goal of making scientists redundant using artificial general intelligence misses the point that AI will (and is) making scientists more productive – not replacing them.

Countries that neglect science become dependent on those that don’t. U.S. post-WWII dominance came from basic science investments (OSRD, NSF, NIH, DOE labs). After WWII ended, the UK slashed science investment which allowed the U.S. to commercialize the British inventions made during the war.

The Soviet Union’s collapse partly reflected failure to convert science into sustained innovation, during the same time that U.S. universities, startups and venture capital created Silicon Valley. Long-term military and economic advantage (nuclear weapons, GPS, AI) trace back to scientific research ecosystems.

Lessons Learned

  • Scientists come in two categories
    • Theorists and experimentalists
    • Two types of experimentalists; Basic science (learn new things) or applied science (practical applications of the science)
    • Scientists train talent, create patentable inventions and solutions for national defense
  • Engineers design and build things on top of the discoveries of scientists
  • Entrepreneurs test and push the boundaries of what products could be built
  • Venture Capital provides the money to startups
  • Scientists, engineers, entrepreneurs – these roles are complementary
    • Remove one and the system degrades
  • Science won’t stop
    • Cut U.S. funding, then science will happen in other countries that understand its relationship to making a nation great – like China.
    • National power is derived from investments in Science
    • Reducing investment in basic and applied science makes America weak

Appendix – How Does Science Work? – The Scientific Method
Whether you were a theorist or experimentalist, for the last 500 years the way to test science was by using the scientific method. This method starts by a scientist wondering and asking, “Here’s how I think this should work, let’s test the idea.”

The goal of the scientific method is to turn a guess (in science called a hypothesis) into actual evidence. Scientists do this by first designing an experiment to test their guess/hypothesis. They then run the experiment and collect and analyze the result and ask, “Did the result validate, invalidate the hypothesis? Or did it give us completely new ideas?” Scientists build instruments and run experiments not because of what they know, but because of what they don’t know.

These experiments can be simple ones costing thousands of dollars that can be run in a university biology lab while others may require billions of dollars to build a satellite, particle accelerator or telescope. (The U.S. took the lead in Science after WWII when the government realized that funding scientists was good for the American economy and defense.)

Good science is reproducible. Scientists just don’t publish their results, but they also publish the details of how they ran their experiment. That allows other scientists to run the same experiment and see if they get the same result for themselves. That makes the scientific method self-correcting (you or others can see mistakes).

One other benefit of the scientific method is that scientists (and the people who fund them) expect most of the experiments to fail, but the failures are part of learning and discovery. They teach us what works and what doesn’t. Failure in science testing unknowns means learning and discovery.

How To Sell to the Dept of War – The 2025 PEO Directory

Announcing the 2025 edition of the DoW PEO Directory. Online here.

Think of this PEO Directory as a “Who buys in the government?” phone book.

Finding a customer for your product in the Department of War is hard: Who should you talk to? How do you get their attention? What is the right Go-To-Market Strategy? What is a PEO and why should I care?

Ever since I co-founded Hacking for Defense, my students would ask, “Who should we call in the DoW to let them know what problem we solved? How can we show them the solution we built?” In the last few years that question kept coming, from new defense startups and their investors.

At the same time, I’d get questions from the new wave of Defense Investors asking, “What’s the best “Go-To-Market (GTM)” strategy for our startups?

PEOs, PMs, PIAs, PoRs, Consortia, SBIRs, OTAs, CSOs, FAR, CUI, SAM, CRADAs, Primes, Mid-tier Integrators, Tribal/ANC Firms, Direct-to-Operator, Direct-to-Field Units, Labs, DD-254… For a startup it’s an entirely new language, new buzzwords, new partners, new rules and it requires a new “Go-To-Market (GTM)” strategy.

How to Work With the DoW
Below are simplified diagrams of two of the many paths for how a startup can get funding and revenue from the Department of War. The first example, the Patient Capital Path, illustrates a startup without a working product. They travel the traditional new company journey through the DoW processes.

The second example, the Impatient Capital Path, illustrates a startup with an MVP and/or working product. They ignore the traditional journey through the DoW process and go directly to the warfighter in the field. With the rise of Defense Venture Capital, this “swing-for-the fences” full-speed ahead approach is a Lean Startup approach to become a next generation Prime.

(Note that in 2025 selling to the DoW is likely to change – for the better.)

Selling to the DoW takes time, but a well-executed defense strategy can lead to billion-dollar contracts, sustained revenue, and technological impact at a national scale. Existing defense contractors know who these DoW organizations are and have teams of people tracking budgets and contracts. They know the path to getting an order from the Department of War. But startups?

Why Write the PEO Directory?
Most startups don’t have a clue where to start. And selling to the Department of War is unlike any enterprise or B-to-B sales process founders and their investors may be familiar with. Compared to the commercial world, the language is different, the organizations are different, the culture of risk taking (in acquisition) is different, and most importantly the go-to-market strategy is completely different.

Amazingly, until last year’s first edition of the PEO directory there wasn’t a DoW-wide phone book available to startups to identify who to call in the War Department. This lack of information made sense in a world where the DoW and its suppliers were a closely knit group who knew each other and technology innovation was happening at a sedate decades-long pace. (And assumed our adversaries didn’t have access to our DoW web pages, LinkedIn and ChatGPT.)

That’s no longer true. Given the rapid pace of innovation outside the DoW, and new vendors in UAS, counter UAS, autonomy, AI, quantum, biotech, et al, this lack of transparency is now an obstacle to a whole-of-nation approach to delivering innovation to the warfighter.

(This lack of information even extends internally to the DoW. I’ve started receiving requests from staff at multiple Combatant Commands for access to the PEO Directory. Why? Because “…it would be powerful to include a database of PEOs to link to our database of Requirements, Gaps, and Tracked Technologies to specific PEOs to call.”)

This is a classic case of information asymmetry, and it’s not healthy for either the increasingly urgent needs of the Department of War or the nascent startup defense ecosystem.

Our adversaries have had a whole-of-nation approach to delivering innovation to the warfighter in place for decades. This is our contribution to help the DoW compete.

2025 PEO Directory Edition Notes
The first edition of this document started solely as a PEO directory. Its emphasis was (and is) the value of a startup talking to PEOs early is to get signals on what warfighter problems to solve and whether the DoW will buy their product now or in the future. Those early conversations answer the questions of “Is there a need?” and “Is there a market?”

This 2025 edition of the PEO Directory attempts to capture the major changes that are occurring in the DoW – in organizations, in processes and in people. (For example, the PEO offices of the three largest new defense acquisition programs — Golden Dome, Sentinel and Columbia – will report directly to the Deputy Secretary of War, rather than to their respective Services. And the SecWar killed the cumbersome JCIDIS requirements process.)

What this means is that in 2025 the DoW will develop a new requirements and acquisition process that will identify the most urgent operational problems facing the U.S. military, work with industry earlier in the process, then rapidly turn those into fielded solutions. (That also means the Go-to-market description, people and organizations in this document will be out of date, and why we plan to update it regularly.)

What’s New?
This 2025 edition now includes as an introduction, a 30-page tutorial for startups on how the DoW buys and the various acquisition and funding processes and programs that exist for startups. It provides details on how to sell to the DoW and where the Program Executive Offices (PEOs) fit into that process.

The Directory now also includes information about the parts of the government and the regulations that influence how the DoW buys – the White House Office of Management and Budget (OMB), and the Federal Acquisition Regulations (FAR).  It added new offices such as Golden Dome Direct Reporting Program, DIU, AFRL, DARPA, MDA, CDAO, OSC, IQT, Army Transformation and Training Command, SOCOM, and others.

To help startups understand the DoW, for each service we added links to the organization, structure, and language, as well as a list of each Service’s General Officers/Flag Officers.

Appendix B has a linked spreadsheet with the names in this document.

Appendix C has a list of Venture Capital firms, Corporate Investors, Private Equity firms and Government agencies who invest in Defense. In addition, the Appendix includes details about the various DoW SBIR programs, a list of OTA Consortia, Partnership Intermediary Agreement (PIA) Organizations, and Tribal/Alaska Native Corporation (ANC) Companies.

Appendix D now lists and links to the military and state FFRDC test centers where startups can conduct demos and test equipment.

Appendix E added a list and links of Defense Publications and Defense Trade Shows.

Appendix F has a list of all Army system contractors.

A few reminders:

  • This is not an official publication of the U.S. government
  • Do not depend on this document for accuracy, completeness or business advice.
  • All data is from DoW websites and publicly available information.

Thanks to this year’s partners helping to maintain and host the Directory: Stanford Gordian Knot Center for National Security Innovation, America’s Frontier Fund and BMNT.

This edition of the PEO Directory is on-line so it can be updated as the latest changes become available.

Send updates and corrections to updates@americasfrontier.com

You can access and download the full document here.

Teaching National Security Policy with AI

The videos embedded in this post are best viewed on steveblank.com

International Policy students will be spending their careers in an AI-enabled world. We wanted our students to be prepared for it. This is why we’ve adopted and integrated AI in our Stanford national security policy class – Technology, Innovation and Great Power Competition.

Here’s what we did, how the students used it, and what they (and we) learned.


Technology, Innovation and Great Power Competition is an international policy class at Stanford (taught by me, Eric Volmar and Joe Felter.) The course provides future policy and engineering leaders with an appreciation of the geopolitics of the U.S. strategic competition with great power rivals and the role critical technologies are playing in determining the outcome.

This course includes all that you would expect from a Stanford graduate-level class in the Masters in International Policy – comprehensive readings, guest lectures from current and former senior policy officials/experts, and deliverables in the form of written policy papers. What makes the class unique is that this is an experiential policy class. Students form small teams and embark on a quarter-long project that got them out of the classroom to:

  • select a priority national security challenge, and then …
  • validate the problem and propose a detailed solution tested against actual stakeholders in the technology and national security ecosystem

The class combines multiple teaching tools.

  • Real world – Students worked in teams on real problems from government sponsors
  • Experiential – They get out of the building to interview 50+ stakeholders
  • Perspectives – They get policy context and insights from lectures by experts
  • And this year… Using AI to Accelerate Learning

Rationale for AI
Using this quarter to introduce AI we had three things going for us: 1) By fall 2024 AI tools were good and getting exponentially better, 2) Stanford had set up an AI Playground enabling students to use a variety of AI Tools (ChatGPT, Claude, Perplexity, NotebookLM, Otter.ai, Mermaid, Beautiful.ai, etc.) and 3) many students were using AI in classes but it was usually ambiguous about what they were allowed to do.

Policy students have to read reams of documents weekly. Our hypotheses was that our student teams could use AI to ingest and summarize content, identify key themes and concepts across the content, provide an in-depth analysis of critical content sections, and then synthesize and structure their key insights and apply their key insights to solve their specific policy problem.  They did all that, and much, much, more.

While Joe Felter and I had arm-waved “we need to add AI to the class” Eric Volmar was the real AI hero on the teaching team. As an AI power user Eric was most often ahead of our students on AI skills. He threw down a challenge to the students to continually use AI creatively and told them that they would be graded on it. He pushed them hard on AI use in office hours throughout the quarter. The results below speak for themselves.

If you’re not familiar with these AI tools in practice it’s worth watching these one minute videos.

Team OSC
Team OSC was trying to understand what is the appropriate level of financial risk for the U.S. Department of Defense to provide loans or loan guarantees in technology industries?

The team started using AI to do what we had expected, summarizing the stack of weekly policy documentsusing Claude 3.5. And like all teams, the unexpected use of AI was to create new leads for their stakeholder interviews. They found that they could ask AI to give them a list of leaders that were involved in similar programs, or that were involved in their program’s initial stages of development.

See how Team OSC summarized policy papers here:

If you can’t see the video click here

Claude was also able to create a list of leaders with the Department of Energy Title17 credit programs, Exim DFC, and other federal credit programs that the team should interview. In addition, it created a list of leaders within Congressional Budget Office and the Office of Management and Budget that would be able to provide insights. See the demo here:

If you can’t see the video click here
The team also used AI to transcribe podcasts. They noticed that key leaders of the organizations their problem came from had produced podcasts and YouTube videos. They used Otter.ai to transcribe these. That provided additional context for when they did interview them and allowed the team to ask insightful new questions.

If you can’t see the video click here

Note the power of fusing AI with interviews. The interviews ground the knowledge in the teams lived experience.

The team came up with a use case the teaching team hadn’t thought of – using AI to critique the team’s own hypotheses. The AI not only gave them criticism but supported it with links from published scholars. See the demo here:

If you can’t see the video click here

Another use the teaching team hadn’t thought was using Mermaid AI to create graphics for their weekly presentations. See the demo here:

If you can’t see the video click here

The surprises from this team kept coming. Their last was that the team used Beautiful.ai in order to generate PowerPoint presentations. See the demo here:

If you can’t see the video click here

For all teams, using AI tools was a learning/discovery process all its own. By and large, students were largely unfamiliar with most tools on day 1.

Team OSC suggested that students should start using AI tools early in the quarter and experiment with tools like ChatGPT, Otter.ai. Tools that that have steep learning curves, like Mermaid should be started at the very start of the project to train their models.

Team OSC AI tools summary: AI tools are not perfect, so make sure to cross check summaries, insights and transcriptions for accuracy and relevancy. Be really critical of their outputs. The biggest takeaway is that AI works best when prepared with human efforts.

Team FAAST
The FAAST team was trying to understand how can the U.S. improve and scale the DoE FASST program in the urgent context of great power competition?

Team FAAST started using AI to do what we had expected, summarizing the stack of weekly policy documents they were assigned to read and synthesizing interviews with stakeholders.

One of the features of ChatGPT this team appreciated, and important for a national security class, was the temporary chat feature –  data they entered would not be used to train the open AI models. See the demo below.

If you can’t see the video click here

The team used AI do a few new things we didn’t expect –  to generate emails to stakeholders and to create interview questions. During the quarter the team used ChatGPT, Claude, Perplexity, and NotebookLM. By the end of the 10-week class they were using AI to do a few more things we hadn’t expected. Their use of AI expanded to include simulating interviews. They gave ChatGPT specific instructions on who they wanted it to act like, and it provided personalized and custom answers. See the example here.

If you can’t see the video click here

Learning-by-doing was a key part of this experiential course. The big idea is that students learn both the method and the subject matter together. By learning it together, you learn both better.

Finally, they used AI to map stakeholders, get advice on their next policy move, and asked ChatGPT to review their weekly slides (by screenshotting the slides and putting them into ChatGPT and asking for feedback and advice.)

The FAAST team AI tool summary: ChatGPT was specifically good when using images or screenshots, so in these multi-level tasks, and when you wanted to use kind of more custom instructions, as we used for the stakeholder interviews.  Claude was better at more conversational and human in writing, so used it when sending emails. Perplexity was better for researchers because it provides citations, so you’re able to access the web and actually get directed to the source that it’s citing. NotebookLM was something we tried out, but it was not as successful. It was a cool tool that allowed us to summarize specific policy documents into a podcast, but the summaries were often pretty vague.

Team NSC Energy
Team NSC Energy was working on a National Security Council problem, “How can the United States generate sufficient energy to support compute/AI in the next 5 years?”

At the start of the class, the team began by using ChatGPT to summarize their policy papers and generate tailored interview questions, while Claude was used to synthesize research  for background understanding. As ChatGPT occasionally hallucinated information, by the end of the class they were cross validating the summaries via Perplexity pro.

The team also used ChatGPT and Mermaid to organize their thoughts and determine who they wanted to talk to. ChatGPT was used to generate code to put into the Mermaid flowchart organizer. Mermaid has its own language, so ChatGPT was helpful, so we didn’t have to learn all the syntax for this language.
See the video of how Team NSC Energy used ChaptGPT and Mermaid here:

If you can’t see the video click here

Team Alpha Strategy
The Alpha Strategy team was trying to discover whether the U.S. could use AI to create a whole-of-government decision-making factory.

At the start of class, Team Alpha Strategy used ChatGPT.40 for policy document analysis and summary, as well for stakeholder mapping. However, they discovered going one by one through the countless numbers of articles was time consuming. So the team pivoted to using Notebook LM, for document search and cross analysis. See the video of how Team Alpha Strategy used Notebook LM here:

If you can’t see the video click here

The other tools the team used were custom Gpts to build stakeholder maps and diagrams and organize interview notes. There’s going to be a wide variety of specialized Gpts. One that was really helpful, they said, was a scholar GPT.
See the video of how Team Alpha Strategy used custom GPTs:

If you can’t see the video click here

Like other teams, Alpha Strategy used ChatGPT to summarize their interview notes and to create flow charts to paste into their weekly presentations.

Team Congress
The Congress team was exploring the question, “if the Department of Defense were given economic instruments of power, which tools would be most effective in the current techno-economic competition with the People’s Republic of China?”

As other teams found, Team Congress first used ChatGPT to extract key themes from hundreds of pages of readings each week and from press releases, articles, and legislation. They also used for mapping and diagramming to identify potential relationships between stakeholders, or to creatively suggest alternate visualizations.

When Team Congress weren’t able to reach their sponsor in the initial two weeks of the class, much like Team OSC, they used AI tools to pretend to be their sponsor, a member of the defense modernization caucus. Once they realized its utility, they continued to do mock interviews using AI role play.

The team also used customized models of ChatGPT but in their case found that this was limited in the number of documents they could upload, because they had a lot of content. So they used retrieval augmented generation, which takes in a user’s query, and matches it with relevant sources in their knowledge base, and fed that back out as the output. See the video of how Team Congress used retrieval augmented generation here:

If you can’t see the video click here

Team NavalX
The NavalX team was learning how the U.S. Navy could expand its capabilities in Intelligence, Surveillance, and Reconnaissance (ISR) operations on general maritime traffic.

Like all teams they used ChatGPT to summarize and extract from long documents, organizing their interview notes, and defining technical terms associated with their project. In this video, note their use of prompting to guide ChatGPT to format their notes.

See the video of how Team NavalX used tailored prompts for formatting interview notes here:

If you can’t see the video click here

They also asked ChatGPT to role play a critic of our argument and solution so that we could find the weaknesses. They also began uploading many interviews at once, and asked Claude to find themes or ideas in common that they might have missed on their own.

Here’s how the NavalX team used Perplexity for research.

If you can’t see the video click here
Like other teams, the NavalX team discovered you can customize ChatGPT by telling it how you want it to act.

If you can’t see the video click here

Another surprising insight from the team is that you can use ChatGPT to tell you how to write better prompts for itself.

If you can’t see the video click here
In summary, Team NavalX used Claude to translate texts from Mandarin, and found that ChatGPT was the best for writing tasks, Perplexity the best for research tasks, Claude the best for reading tasks, and notebook LM was the best for summarization.

Lessons Learned

  • Integrating AI into this class took a dedicated instructor with a mission to create a new way to teach using AI tools
  • The result was AI vastly enhanced and accelerated learning of all teams
    • It acted as a helpful collaborator
    • Fusing AI with stakeholders interviews was especially powerful
  • At the start of the class students were familiar with a few of these AI tools
    • By the end of the class they were fluent in many more of them
    • Most teams invented creative use cases
  • All Stanford classes we now teach – Hacking for Defense, Lean Launchpad, Entrepreneurship Inside Government – have AI integrated as part of the course
  • Next year’s AI tools will be substantively better

How To Find Your Customer In the Dept of Defense – The Directory of DoD Program Executive Offices

Finding a customer for your product in the Department of Defense is hard: Who should you talk to? How do you get their attention?

Looking for DoD customers

How do you know if they have money to spend on your product?

It almost always starts with a Program Executive Office.


The Department of Defense (DoD) no longer owns all the technologies, products and services to deter or win a war – e.g.  AI, autonomy, drones, biotech, access to space, cyber, semiconductors, new materials, etc.

Today, a new class of startups are attempting to sell these products to the Defense Department. Amazingly, there is no single DoD-wide phone book available to startups of who to call in the Defense Department.

So I wrote one.

Think of the PEO Directory linked below as a “Who buys in the government?” phone book.

The DoD buys hundreds of billions of dollars of products and services per year, and nearly all of these purchases are managed by Program Executive Offices. A Program Executive Office may be responsible for a specific program (e.g., the Joint Strike Fighter) or for an entire portfolio of similar programs (e.g., the Navy Program Executive Office for Digital and Enterprise Services). PEOs define requirements and their Contracting Officers buy things (handling the formal purchasing, issuing requests for proposals (RFPs), and signing contracts with vendors.) Program Managers (PMs) work with the PEO and manage subsets of the larger program.

Existing defense contractors know who these organizations are and have teams of people tracking budgets and contracts. But startups?  Most startups don’t have a clue where to start.

This is a classic case of information asymmetry and it’s not healthy for the Department of Defense or the nascent startup defense ecosystem.

That’s why I put this PEO Directory together.

This first version of the directory lists 75 Program Executive Offices and their Program Executive Officers and Program/Project Managers.

Each Program Executive Office is headed by a Program Executive Officer who is a high ranking official – either a member of the military or a high ranking civilian – responsible for the cost, schedule, and performance of a major system, or portfolio of systems, some worth billions of dollars.

Below is a summary of 75 Program Executive Offices in the Department of Defense.

You can download the full 64-page document of Program Executive Offices and Officers with all 602 names here.

Caveats
Do not depend on this document for accuracy or completeness.
It is likely incomplete and contains errors.
Military officers typically change jobs every few years.
Program Offices get closed and new ones opened as needed.

This means this document was out of date the day it was written. Still it represents an invaluable starting point for startups looking to work with DoD.

How to Use The PEO Directory As Part of A Go-To-Market Strategy
While it’s helpful to know what Program Executive Offices exist and who staffs them, it’s even better to know where the money is, what it’s being spent on, and whether the budget is increasing, decreasing, or remaining the same.

The best place to start is by looking through an overview of the entire defense budget here. Then search for those programs in the linked PEO Directory. You can get an idea whether that program has $ Billions, or $ Millions.

Next, take a look at the budget documents released by the DoD Comptroller –
particularly the P-1 (Procurement) and R-1 (R&D) budget documents.

Combining the budget document with this PEO directory helps you narrow down which of the 75 Program Executive Offices and 500+ program managers to call on.

With some practice you can translate the topline, account, or Program Element (PE) Line changes into a sales Go-To-Market strategy, or at least a hypothesis of who to call on.

Armed with the program description (it’s full of jargon and 9-12 months out of date) and the Excel download here and the Appendix here –– you can identify targets for sales calls with DoD where your product has the best chance of fitting in.

The people and organizations in this list change more frequently than the money.

Knowing the people is helpful only after you understand their priorities — and money is the best proxy for that.

Future Work
Ultimately we want to give startups not only who to call on, and who has the money, but which Program Offices are receptive to new entrants. And which have converted to portfolio management, which have tried OTA contracts, as well as highlighting those who are doing something novel with metrics or outcomes.

Going forward this project will be kept updated by the Stanford Gordian Knot Center for National Security Innovation.

In the meantime send updates, corrections and comments to sblank@stanford.edu

Credit Where Credit Is Due
Clearly, the U.S. government intends to communicate this information. They have published links to DoD organizations here, even listing DoD social media accounts. But the list is fragmented and irregularly updated. Consequently, this type of directory has not existed in a usable format – until now.

Security Clearances at the Speed of Startups

Imagine you got a job offer from a company but weren’t allowed to start work – or get paid – for almost a year. And if you can’t pass a security clearance your offer is rescinded. Or you get offered an internship but can’t work on the most interesting part of the project. Sounds like a nonstarter. Well that’s the current process if you want to work for companies or government agencies that work on classified programs.


One Silicon Valley company, Palantir, is trying to change that and shorten the time between getting hired and doing productive work. Here’s why and how.

Over the last five years more of my students have understood that Russia’s brutal war in Ukraine and strategic competition with the People’s Republic of China mean that the world is no longer a stable and safe place. This has convinced many of them to work on national security problems in defense startups.

However, many of those companies and government agencies require you to work on projects with sensitive information the government wants to protect. These are called classified programs. To get hired, and to work on them, you need to first pass a government security clearance. (A security clearance is how the government learns whether you are trustworthy enough to keep secrets and not damage national security.)

For jobs at most defense startups/contractors or national security agencies, instead of starting work with your offer letter, you’d instead receive a “conditional” job offer – that’s a fancy way to say, “we want you to work here, but you need to wait 3 to 9 months without pay until you start, and if you can’t pass the security clearance we won’t hire you.” That’s a pretty high bar for students who have lots of other options for where to work.

Types of Security Clearances
The time it takes for the clearance process depends on the thoroughness and how deeply the government investigates your background. That’s directly related to how classified will be the work you will be doing. The three primary levels of classification (from least to greatest) are Confidential, Secret, and Top Secret. The type and depth of background investigations to get a security clearance depends on what level of classified information you will be working with. For example, if you just need access to Confidential or Secret material they would do a National Agency Check with Law and Credit (NACLC). The government will look at the FBI’s criminal history repository, do a credit check, and a check with your local law enforcement agencies. This can take a relatively short time (~3 months).

On the other hand if you’re going to work on a Top Secret/SCI project, this requires a more extensive (and much longer ~6-9 months) background check called a Single Scope Background Investigation (SSBI). Some types of clearances also require you to take a polygraph (lie-detector) test.

How Does the Government “Clear” you?
The National Background Investigation Services (NBIS) is the government agency that will investigate your background. They will ask about your:

  • Drugs and Alcohol (hard drugs, addiction, chronic drinking, etc.)
  • Criminal conduct (felonies..)
  • Financial stability (they’ll run a Credit Bureau Report)
  • How you’ve used IT systems (e.g. have you hacked any?)
  • United States allegiance
  • Foreign influence (do you own property overseas? Foreign investments, etc.)
  • Psychological conditions and personal behavior.
  • Travel History (have you lived or gone to China, Russia, Iran, North Korea, Syria, etc.)
  • Plus, they will talk to your friends, relatives, current and ex-significant others, etc. to learn more about you

Palantir’s Accelerated Student Clearance Plan
Palantir wants their interns and new hires to hit the ground running and work on the toughest and most interesting government problems from day one. However, these types of problems require having a security clearance. The problem is that today, all companies start an application for a security clearance the day you show up for work.

Palantir’s idea? If you get an internship or full-time offer from Palantir while you’re still in school, they will immediately employ you as a contractor. This will let them start your security clearance process while in school before you show up for work. That means you will be cleared ~9 months later in time for your first day on the job. Think of this like a college early admissions program. (If you’re interning, Palantir will hold your clearance for you if you come back to Palantir the following year.)

Why Do This?
Obviously this is a long-term strategic investment in Palantir’s college talent, but it also affects the entire defense ecosystem – to create a broader team of America’s best engineers who are able to support our country’s most critical missions. And they are encouraging other Defense Tech companies to implement a similar program.

I think it’s a great idea.

Now what are the other innovative ideas Silicon Valley can do to attract a national security workforce?