Shyam Sankar: The Broken Incentive Structure of How Governments Buy Defence | E1104
Harry Stebbings (host), Shyam Sankar (guest), Narrator
In this episode of The Twenty Minute VC, featuring Harry Stebbings and Shyam Sankar, Shyam Sankar: The Broken Incentive Structure of How Governments Buy Defence | E1104 explores palantir CTO Exposes How Broken Defense Procurement Stifles Innovation, Security Palantir CTO Shyam Sankar discusses how Western defense procurement and incentive structures, especially in the U.S. and Europe, systematically block speed, innovation, and true competition in national security. He contrasts WWII-style industrial mobilization and maverick founders with today’s financialized primes, process obsession, and labor-based ‘cost-plus’ contracts that punish risk-taking. Sankar details Palantir’s alternative playbook—product-first, subscription-based software, deep user embedding, and product-led land-and-expand—as well as why the DoD must explicitly pick a few big winners if it wants a viable defense-tech ecosystem. He also explores internal topics: building an “artist colony” rather than a factory, hiring and managing asymmetric talent, continuous company reinvention, and where value will accrue in AI.
Palantir CTO Exposes How Broken Defense Procurement Stifles Innovation, Security
Palantir CTO Shyam Sankar discusses how Western defense procurement and incentive structures, especially in the U.S. and Europe, systematically block speed, innovation, and true competition in national security. He contrasts WWII-style industrial mobilization and maverick founders with today’s financialized primes, process obsession, and labor-based ‘cost-plus’ contracts that punish risk-taking. Sankar details Palantir’s alternative playbook—product-first, subscription-based software, deep user embedding, and product-led land-and-expand—as well as why the DoD must explicitly pick a few big winners if it wants a viable defense-tech ecosystem. He also explores internal topics: building an “artist colony” rather than a factory, hiring and managing asymmetric talent, continuous company reinvention, and where value will accrue in AI.
Key Takeaways
Defense procurement’s cost-plus, labor-based model destroys incentives to innovate.
When governments pay by the hour and cap profit based on audited costs, contractors are rewarded for adding bodies and complexity, not for taking risk, investing their own capital, or making things cheaper and better over time.
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Governments must move to product-based, subscription-style buying to benefit from commercial R&D.
Palantir refused services revenue and forced a software-license / SaaS model, financing R&D with equity instead of government funds; this aligns incentives with building reusable products that can scale across customers and missions.
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“Peanut-butter” contracting starves the emerging defense-tech ecosystem; the DoD must pick winners.
Spreading limited budget thinly across many startups creates zombie companies that can’t scale or generate venture returns; selecting and backing a few winners at meaningful scale is necessary to keep capital and talent in defense.
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Process obsession trades catastrophic failure for guaranteed mediocrity.
In the name of fairness and protest-proof decisions, U. ...
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Modern warfare favors cheap, rapidly iterated, often expendable systems over exquisite, long-lived platforms.
Ukraine, Israel and other conflicts show the effectiveness of single-use drones and short-lived capabilities, implying new logistics, procurement cycles, and business models that assume next year’s systems will be different from today’s.
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Inside organizations, content (substance) must outrank process, or innovation dies.
Sankar argues you can go far with great content and bad process but nowhere with great process and bad content; process should be medicine, not an opioid, and scaling should come after you’ve proven the substance actually works.
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Treat top talent like an artist colony, not a factory workforce.
Roles should be shaped around unusually asymmetric people rather than slotting them into rigid org charts; give them autonomy, protection from noise, long time horizons, and accept non-linear output (hits and dry spells) instead of constant, level-based performance.
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Notable Quotes
“In an effort to have a perception of fair competition, we have created so much process that we neither have fair competition nor speed.”
— Shyam Sankar
“Technology is supposed to make things cheaper. Somehow that doesn’t happen in government. Why?”
— Shyam Sankar
“No great company was created primarily to make money.”
— Shyam Sankar (paraphrasing Alex Karp)
“You can get really far with incredible content and bad process. You’re going to get nowhere with incredible process and bad content.”
— Shyam Sankar
“Instead of being a factory, we’re going to be an artist colony.”
— Shyam Sankar
Questions Answered in This Episode
How could a major defense department practically transition from cost-plus, labor-based contracts to product-based, subscription models without disrupting ongoing programs?
Palantir CTO Shyam Sankar discusses how Western defense procurement and incentive structures, especially in the U. ...
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What specific policy or structural changes would most quickly enable the DoD to ‘pick winners’ while still preserving legitimacy and perceived fairness?
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How can governments safely reduce process and protest risk without inviting corruption or loss of public trust in large defense awards?
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What would a modern ‘Skunk Works’ look like inside today’s defense bureaucracy, and how could it be protected from process creep?
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If AI models commoditize and value shifts to applications, what should defense-tech founders build to avoid becoming just thin wrappers on other people’s infrastructure and models?
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Transcript Preview
If you were to be in charge of the DOD today, what would you do?
It would be-
This is Shyam Sankar, CTO at Palantir, one of the biggest data solutions company contracted to the US military.
In an effort to have a perception of fair competition, we have created so much process that we either have fair competition nor speed. The European process is even more slow because there is an even greater emphasis on, how do I show fairness across all of the EU state? We are spending at historic lows relative to the Cold War.
What is it in context of GDP, 15%?
Two to 3%.
What was it in the Cold War?
At its peak, I think it's like (beep) .
Shyam, I'm so excited for this. Now, you were described to me by Joe Lonsdale as the hardest working person in Silicon Valley, and that's coming from Joe. So first, thank you so much for joining me today.
I am so, I'm so thrilled to be here. Thanks for having me, Harry.
Not at all. But I do want to start on that. I want to unpack just that work ethic a little bit. I think I'm cha- like armchair psychologist. I think a lot's driven by childhood. Where do you think you get that work ethic and drive from?
I, I think it really, it comes from my father. You know, my, uh, my father as a young man in his 20s he left India to set up the first pharmaceutical manufacturing facility in India, and I'd say, uh, in Africa, sorry. And even before that, he, he was the youngest of nine children and he, he, he worked, he lived in this structure where all of his siblings were working their ass off to send him to college. And this sense of, "Look, I have to, I have to make something of this given all this opportunity I've been given." And, uh, you know, he, he was a great man.
And so that inspired you that the only way to win was by working hard?
That there was kind of this obligation to family, to society, that, that there's, there's just so much value in that. And I think it, and his life in many ways I think you could say it would be, it would be kind of a trivial story if it was like, look, my dad was this guy who worked really hard, he took this risk and it all worked out. That's not what happened. It all didn't work out. You know, when my dad went to Nigeria w- when I was a young kid, we, we suffered horrible armed violence. He was almost executed. He, he had to start over. We, we fled Nigeria, we, we resettled in the US effectively as refugees starting from scratch, and I was raised, and he lived his life with this deep understanding of the counterfactual, that like no matter how bad it is, remember what it could have been. You know, your alternative to this present moment is being dead in a ditch, and how grateful you should be for that and how you should not squander the opportunity that you have as a consequence of that.
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