Aug 8, 2025 · 1h 18m · a16z

Steven Sinofsky & Balaji Srinivasan on the Future of M&A, AI & Tech

Balaji Srinivasan · 39m spoken Steven Sinofsky · 31m spoken Erik Torenberg · 49s spoken
0:00 / 0:00
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In this episode of the a16z Podcast, Steven Sinofsky and Balaji Srinivasan analyze the impact of aggressive regulatory policy on tech M&A, modern deal structures like AI acqui-fires, and strategies for navigating future technological innovation.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The host holds 1.1% of the talking time here. How this is scored →

The host as informed peer 0.1 Guest teaching 3.7 Guest disagreement 3.4 The host pushing back 0.1
05100:0020:0040:001:00:000:59–2:59 · The host as informed peer 0/10 Balaji Srinivasan on the Four-Year Anti-Tech Regulatory Assault Balaji monologues on the FTC's regulatory freeze on IPOs and M&A, criticizing regulators for blocking transactions and taking credit for rare successes like Figma. The host does not intervene or challenge.2:59–6:03 · The host as informed peer 0/10 Washington DC's Zero-Sum Mindset and Tech Regulatory History Steven Sinofsky explains the historical lack of regulation in computing and software compared to other industries, framing Washington DC as a zero-sum regulator. The dynamic remains a co-guest dialogue without host intervention.6:03–11:30 · The host as informed peer 0/10 Network vs. State Framework and Flaws in Antitrust Econometrics Balaji introduces his Network vs. State framework while Sinofsky breaks down why antitrust econometrics like the HHI index fail when applied to technology products. The host remains silent throughout the technical exchange.11:30–18:25 · The host as informed peer 0/10 Balaji on Market Disruptions, Network Dynamics, and Platform Governance Balaji outlines disruptive innovation, platform governance, and how running a massive tech platform forces a system administrator mindset. He forcefully rejects regulatory premises without host pushback.18:25–25:02 · The host as informed peer 0/10 European Union Regulations and the Verbal vs. Numerical Mindset of Regulators Sinofsky analyzes EU app store regulations while Balaji argues US regulators lack mathematical literacy, confusing orders of magnitude. The speakers maintain full control of the discussion.25:02–31:45 · The host as informed peer 0/10 The Power Law of Corporate M&A, Media Hindsight, and Regulatory Retconning Sinofsky and Balaji explain corporate M&A as a power-law venture bet, using historical coverage of Google buying YouTube and Facebook buying Instagram to show how media and regulators retcon risky acquisitions.31:45–44:06 · The host as informed peer 0/10 M&A Structural Mechanics, Startup Piranhas, and Corporate Make vs. Buy The guests detail structural dynamics of M&A including 100x scale ratios, startup piranhas, and corporate make-versus-buy decisions, drawing on Sinofsky's experience at Microsoft.44:06–53:50 · The host as informed peer 0/10 Novel AI Deal Structures: Acqui-Hires, Acqui-Fires, and the Windsurf Case Study Balaji defines novel AI deal structures including acqui-hires and acqui-fires using the Windsurf and Google case study to illustrate regulatory circumvention.53:50–1:12:37 · The host as informed peer 1/10 AI Platform Shifts, Developer Tooling, and Global AI Geopolitics Sinofsky and Balaji debate AI platform shifts, developer tooling, and global AI geopolitics. Host Erik Torenberg asks a brief closing question asking how to evaluate antitrust policy if advising regulators.0:59–2:59 · Guest teaching 3/10 Balaji Srinivasan on the Four-Year Anti-Tech Regulatory Assault Balaji monologues on the FTC's regulatory freeze on IPOs and M&A, criticizing regulators for blocking transactions and taking credit for rare successes like Figma. The host does not intervene or challenge.2:59–6:03 · Guest teaching 3/10 Washington DC's Zero-Sum Mindset and Tech Regulatory History Steven Sinofsky explains the historical lack of regulation in computing and software compared to other industries, framing Washington DC as a zero-sum regulator. The dynamic remains a co-guest dialogue without host intervention.6:03–11:30 · Guest teaching 4/10 Network vs. State Framework and Flaws in Antitrust Econometrics Balaji introduces his Network vs. State framework while Sinofsky breaks down why antitrust econometrics like the HHI index fail when applied to technology products. The host remains silent throughout the technical exchange.11:30–18:25 · Guest teaching 4/10 Balaji on Market Disruptions, Network Dynamics, and Platform Governance Balaji outlines disruptive innovation, platform governance, and how running a massive tech platform forces a system administrator mindset. He forcefully rejects regulatory premises without host pushback.18:25–25:02 · Guest teaching 4/10 European Union Regulations and the Verbal vs. Numerical Mindset of Regulators Sinofsky analyzes EU app store regulations while Balaji argues US regulators lack mathematical literacy, confusing orders of magnitude. The speakers maintain full control of the discussion.25:02–31:45 · Guest teaching 3/10 The Power Law of Corporate M&A, Media Hindsight, and Regulatory Retconning Sinofsky and Balaji explain corporate M&A as a power-law venture bet, using historical coverage of Google buying YouTube and Facebook buying Instagram to show how media and regulators retcon risky acquisitions.31:45–44:06 · Guest teaching 3/10 M&A Structural Mechanics, Startup Piranhas, and Corporate Make vs. Buy The guests detail structural dynamics of M&A including 100x scale ratios, startup piranhas, and corporate make-versus-buy decisions, drawing on Sinofsky's experience at Microsoft.44:06–53:50 · Guest teaching 5/10 Novel AI Deal Structures: Acqui-Hires, Acqui-Fires, and the Windsurf Case Study Balaji defines novel AI deal structures including acqui-hires and acqui-fires using the Windsurf and Google case study to illustrate regulatory circumvention.53:50–1:12:37 · Guest teaching 4/10 AI Platform Shifts, Developer Tooling, and Global AI Geopolitics Sinofsky and Balaji debate AI platform shifts, developer tooling, and global AI geopolitics. Host Erik Torenberg asks a brief closing question asking how to evaluate antitrust policy if advising regulators.0:59–2:59 · Guest disagreement 5/10 Balaji Srinivasan on the Four-Year Anti-Tech Regulatory Assault Balaji monologues on the FTC's regulatory freeze on IPOs and M&A, criticizing regulators for blocking transactions and taking credit for rare successes like Figma. The host does not intervene or challenge.2:59–6:03 · Guest disagreement 3/10 Washington DC's Zero-Sum Mindset and Tech Regulatory History Steven Sinofsky explains the historical lack of regulation in computing and software compared to other industries, framing Washington DC as a zero-sum regulator. The dynamic remains a co-guest dialogue without host intervention.6:03–11:30 · Guest disagreement 2/10 Network vs. State Framework and Flaws in Antitrust Econometrics Balaji introduces his Network vs. State framework while Sinofsky breaks down why antitrust econometrics like the HHI index fail when applied to technology products. The host remains silent throughout the technical exchange.11:30–18:25 · Guest disagreement 4/10 Balaji on Market Disruptions, Network Dynamics, and Platform Governance Balaji outlines disruptive innovation, platform governance, and how running a massive tech platform forces a system administrator mindset. He forcefully rejects regulatory premises without host pushback.18:25–25:02 · Guest disagreement 4/10 European Union Regulations and the Verbal vs. Numerical Mindset of Regulators Sinofsky analyzes EU app store regulations while Balaji argues US regulators lack mathematical literacy, confusing orders of magnitude. The speakers maintain full control of the discussion.25:02–31:45 · Guest disagreement 3/10 The Power Law of Corporate M&A, Media Hindsight, and Regulatory Retconning Sinofsky and Balaji explain corporate M&A as a power-law venture bet, using historical coverage of Google buying YouTube and Facebook buying Instagram to show how media and regulators retcon risky acquisitions.31:45–44:06 · Guest disagreement 3/10 M&A Structural Mechanics, Startup Piranhas, and Corporate Make vs. Buy The guests detail structural dynamics of M&A including 100x scale ratios, startup piranhas, and corporate make-versus-buy decisions, drawing on Sinofsky's experience at Microsoft.44:06–53:50 · Guest disagreement 4/10 Novel AI Deal Structures: Acqui-Hires, Acqui-Fires, and the Windsurf Case Study Balaji defines novel AI deal structures including acqui-hires and acqui-fires using the Windsurf and Google case study to illustrate regulatory circumvention.53:50–1:12:37 · Guest disagreement 3/10 AI Platform Shifts, Developer Tooling, and Global AI Geopolitics Sinofsky and Balaji debate AI platform shifts, developer tooling, and global AI geopolitics. Host Erik Torenberg asks a brief closing question asking how to evaluate antitrust policy if advising regulators.0:59–2:59 · The host pushing back 0/10 Balaji Srinivasan on the Four-Year Anti-Tech Regulatory Assault Balaji monologues on the FTC's regulatory freeze on IPOs and M&A, criticizing regulators for blocking transactions and taking credit for rare successes like Figma. The host does not intervene or challenge.2:59–6:03 · The host pushing back 0/10 Washington DC's Zero-Sum Mindset and Tech Regulatory History Steven Sinofsky explains the historical lack of regulation in computing and software compared to other industries, framing Washington DC as a zero-sum regulator. The dynamic remains a co-guest dialogue without host intervention.6:03–11:30 · The host pushing back 0/10 Network vs. State Framework and Flaws in Antitrust Econometrics Balaji introduces his Network vs. State framework while Sinofsky breaks down why antitrust econometrics like the HHI index fail when applied to technology products. The host remains silent throughout the technical exchange.11:30–18:25 · The host pushing back 0/10 Balaji on Market Disruptions, Network Dynamics, and Platform Governance Balaji outlines disruptive innovation, platform governance, and how running a massive tech platform forces a system administrator mindset. He forcefully rejects regulatory premises without host pushback.18:25–25:02 · The host pushing back 0/10 European Union Regulations and the Verbal vs. Numerical Mindset of Regulators Sinofsky analyzes EU app store regulations while Balaji argues US regulators lack mathematical literacy, confusing orders of magnitude. The speakers maintain full control of the discussion.25:02–31:45 · The host pushing back 0/10 The Power Law of Corporate M&A, Media Hindsight, and Regulatory Retconning Sinofsky and Balaji explain corporate M&A as a power-law venture bet, using historical coverage of Google buying YouTube and Facebook buying Instagram to show how media and regulators retcon risky acquisitions.31:45–44:06 · The host pushing back 0/10 M&A Structural Mechanics, Startup Piranhas, and Corporate Make vs. Buy The guests detail structural dynamics of M&A including 100x scale ratios, startup piranhas, and corporate make-versus-buy decisions, drawing on Sinofsky's experience at Microsoft.44:06–53:50 · The host pushing back 0/10 Novel AI Deal Structures: Acqui-Hires, Acqui-Fires, and the Windsurf Case Study Balaji defines novel AI deal structures including acqui-hires and acqui-fires using the Windsurf and Google case study to illustrate regulatory circumvention.53:50–1:12:37 · The host pushing back 1/10 AI Platform Shifts, Developer Tooling, and Global AI Geopolitics Sinofsky and Balaji debate AI platform shifts, developer tooling, and global AI geopolitics. Host Erik Torenberg asks a brief closing question asking how to evaluate antitrust policy if advising regulators.

speaking balance: gold is the host, purple is the guest (3 minute bins)

0:00 · the host 15.8% · guest 84.2%0:00 · the host 15.8% · guest 84.2%3:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%24:00 · the host 0% · guest 100%24:00 · the host 0% · guest 100%27:00 · the host 0% · guest 100%27:00 · the host 0% · guest 100%30:00 · the host 0% · guest 100%30:00 · the host 0% · guest 100%33:00 · the host 0% · guest 100%33:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%39:00 · the host 0% · guest 100%39:00 · the host 0% · guest 100%42:00 · the host 0% · guest 100%42:00 · the host 0% · guest 100%45:00 · the host 0% · guest 100%45:00 · the host 0% · guest 100%48:00 · the host 0% · guest 100%48:00 · the host 0% · guest 100%51:00 · the host 0% · guest 100%51:00 · the host 0% · guest 100%54:00 · the host 0% · guest 100%54:00 · the host 0% · guest 100%57:00 · the host 0% · guest 100%57:00 · the host 0% · guest 100%1:00:00 · the host 0% · guest 100%1:00:00 · the host 0% · guest 100%1:03:00 · the host 0% · guest 100%1:03:00 · the host 0% · guest 100%1:06:00 · the host 0% · guest 100%1:06:00 · the host 0% · guest 100%1:09:00 · the host 0% · guest 100%1:09:00 · the host 0% · guest 100%1:12:00 · the host 10.7% · guest 89.3%1:12:00 · the host 10.7% · guest 89.3%1:15:00 · the host 3.5% · guest 96.5%1:15:00 · the host 3.5% · guest 96.5%1:18:00 · the host 0% · guest 0%1:18:00 · the host 0% · guest 0%
Sharpest disagreement ▶ 2:40 Lina Khan victory lap metaphor

Balaji delivers his most aggressive jab, comparing FTC Chair Lina Khan celebrating the Figma IPO to an assassin congratulating themselves for getting Trump elected.

Hardest push from the host ▶ 1:12:37 Host questions antitrust policy framing

Erik Torenberg intervenes at the end of the interview to ask if public policy shouldn't consider antitrust concerns regarding M&A's effect on consumers and startups.

Biggest teaching moment ▶ 23:28 Numerical illiterate regulators lesson

Balaji explains how non-technical regulators lack basic quantitative intuition for orders of magnitude, treating millions and billions as vaguely large numbers.

The host holds their own ▶ 1:12:37 Host prompts defense of market competition

The host forces Sinofsky to directly address the counterargument for government intervention against M&A monopolies.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Balaji Srinivasan on the Four-Year Anti-Tech Regulatory Assault 0350 Balaji monologues on the FTC's regulatory freeze on IPOs and M&A, criticizing regulators for blocking transactions and taking credit for rare successes like Figma. The host does not intervene or challenge.
Washington DC's Zero-Sum Mindset and Tech Regulatory History 0330 Steven Sinofsky explains the historical lack of regulation in computing and software compared to other industries, framing Washington DC as a zero-sum regulator. The dynamic remains a co-guest dialogue without host intervention.
Network vs. State Framework and Flaws in Antitrust Econometrics 0420 Balaji introduces his Network vs. State framework while Sinofsky breaks down why antitrust econometrics like the HHI index fail when applied to technology products. The host remains silent throughout the technical exchange.
Balaji on Market Disruptions, Network Dynamics, and Platform Governance 0440 Balaji outlines disruptive innovation, platform governance, and how running a massive tech platform forces a system administrator mindset. He forcefully rejects regulatory premises without host pushback.
European Union Regulations and the Verbal vs. Numerical Mindset of Regulators 0440 Sinofsky analyzes EU app store regulations while Balaji argues US regulators lack mathematical literacy, confusing orders of magnitude. The speakers maintain full control of the discussion.
The Power Law of Corporate M&A, Media Hindsight, and Regulatory Retconning 0330 Sinofsky and Balaji explain corporate M&A as a power-law venture bet, using historical coverage of Google buying YouTube and Facebook buying Instagram to show how media and regulators retcon risky acquisitions.
M&A Structural Mechanics, Startup Piranhas, and Corporate Make vs. Buy 0330 The guests detail structural dynamics of M&A including 100x scale ratios, startup piranhas, and corporate make-versus-buy decisions, drawing on Sinofsky's experience at Microsoft.
Novel AI Deal Structures: Acqui-Hires, Acqui-Fires, and the Windsurf Case Study 0540 Balaji defines novel AI deal structures including acqui-hires and acqui-fires using the Windsurf and Google case study to illustrate regulatory circumvention.
AI Platform Shifts, Developer Tooling, and Global AI Geopolitics 1431 Sinofsky and Balaji debate AI platform shifts, developer tooling, and global AI geopolitics. Host Erik Torenberg asks a brief closing question asking how to evaluate antitrust policy if advising regulators.

Statements from this episode (27)

Assertion Not checkable as stated
Srinivasan: US regulatory assault blocked tech IPOs and M&A for four years
“For four years, it was just a desert. A bunch of companies silently died. The state blocked IPOs. They're blocking M&As. It was just an all-out anti-tech assault.”
Balaji Srinivasan Aug 8, 2025 ▶ 0:00
Opinion
Sinofsky: Washington DC treats tech growth as a zero-sum power grab
“DC is the zero-sum game. There's something positive out there, so it has to accrue to the DC power base.”
Steven Sinofsky Aug 8, 2025 ▶ 0:09
Assertion Not checkable as stated
Srinivasan: Sarbanes-Oxley suppressed IPOs and forced tech companies to stay private
“Sarbanes-Oxley in the early 2000 which was passed in the wake of Enron. That was the intent to stop Enron. So what it actually did stopped IPOs. So the number of public companies has just declined, the number of IPOs has declined, and tech companies started go…”
Balaji Srinivasan Aug 8, 2025 ▶ 1:27
Assertion Partly supported
Sinofsky: Software engineering never required state licensing or sales approval
“You never needed to be licensed to be a software engineer. There was never approval to sell software.”
Steven Sinofsky Aug 8, 2025 ▶ 5:07
Opinion
Srinivasan: Twitter elected Trump in 2016, and X elected him in 2024
“Twitter elected Trump, and then Twitter deplatformed Trump, and then ex-elected Trump.”
Balaji Srinivasan Aug 8, 2025 ▶ 6:52
Assertion Partly supported
Sinofsky: Steve Jobs framed iPhone market share by manufacturer to undercut rivals
“Steve Jobs, like, put up a slide at the iPhone launch of mobile phone share, but he very deliberately chose to measure it by the manufacturer of phones so that it diminished the share of Windows Phone. But he also could have just done it by operating system, w…”
Steven Sinofsky Aug 8, 2025 ▶ 10:05
Insight
Srinivasan: Tech platforms replaced government agencies as functional industry regulators
“The actual regulator of taxis is Uber or Lyft because they have real-time tracking. They have star ratings on both sides. Or your you know, some, you know, the FCC or something like who issued licenses. Well, the actual regulator of speech or what have you sai…”
Balaji Srinivasan Aug 8, 2025 ▶ 15:09
Opinion
Srinivasan: Tech platforms face market constraints, but Washington DC is a monopoly
“See the thing is these platforms are at least competing with other platforms, and if Apple or Microsoft or Google makes too bad decision, Then the people on those platforms have exit, they have choice, they can move between platforms, so there's ultimately a m…”
Balaji Srinivasan Aug 8, 2025 ▶ 17:57
Opinion
Srinivasan: The US government selects for verbal over mathematical ability
“A good chunk of the people who are in the American state, not the Chinese state, that's a different thing, we could talk about that, but the American state, a good chunk of them are those who are selected for having verbal and not numerical slash mathematical …”
Balaji Srinivasan Aug 8, 2025 ▶ 21:46
Opinion
Srinivasan: Regulators lack intuition for financial scales beyond personal bank accounts
“They just have no intuition for scales of money beyond their personal experience, like a thousand bucks beyond something that's in their bank account. Or checking account. They have no, they just don't know what's above that because they haven't run organizati…”
Balaji Srinivasan Aug 8, 2025 ▶ 24:47
Assertion Supported
Sinofsky: Corporate M&A is provably a net destroyer of value
“Like there's only two truisms about corporate M&A. One is it literally, it, you provably a net destroyer of value.”
Steven Sinofsky Aug 8, 2025 ▶ 25:38
Assertion Not checkable as stated
Sinofsky: Big companies make the wrong M&A bet 90% of the time
“And the interesting thing is big companies make the wrong potential bet. 90% of the time.”
Steven Sinofsky Aug 8, 2025 ▶ 29:52
Insight
Srinivasan: Acquirers must be 100 times the target size for successful acquisitions
“In general, a company usually needs, in my view, and you may disagree, it needs to be about a hundred exercise of the small company in order to acquire them.”
Balaji Srinivasan Aug 8, 2025 ▶ 32:08
Insight
Srinivasan: Startup-to-startup mergers almost never work because neither has money
“Startup, startup deals never work in general, because neither of them have money. Maybe one of them can shut down and join the other one. That sometimes works once in a while, but in general, they don't work. That's why M doesn't work, but A works. Like merger…”
Balaji Srinivasan Aug 8, 2025 ▶ 33:02
Insight
Srinivasan: Startup competition regulates big tech better than government antitrust policy
“The actual way of regulating big companies is with a thousand startup piranhas, not by this regulation.”
Balaji Srinivasan Aug 8, 2025 ▶ 37:20
Insight
Sinofsky: Acquiring second-tier competitors instead of market leaders always fails
“About two thirds of the time, the big company says, wow, the leader is really expensive, but we have our magic distribution beans. So we're gonna pick the number two or number three. That's like way, way cheaper and get it in a fire sale. And of course that ne…”
Steven Sinofsky Aug 8, 2025 ▶ 39:30
Insight
Srinivasan: Venture contracts need non-key man provisions for acqui-hire shutdowns
“We need to have a non-key man provision. Which is, this is the designated executive who is in the event of an aquifer-like thing, and we can decide how to describe it. It's not an acquisition because there was an acquisition, then you have all the FTC, blah, b…”
Balaji Srinivasan Aug 8, 2025 ▶ 48:32
Assertion Supported
Srinivasan: Google paid over $100 million into Windsurf's account for dividends
“Google put a hundred million plus in the bank account of WindSurf where the intent was to dividend it out.”
Balaji Srinivasan Aug 8, 2025 ▶ 49:34
Prediction Not checkable as stated
Srinivasan: Cognition will struggle to integrate 200 acquired Windsurf employees
“Cognition will find it challenging, I think, to integrate those 200 people, and it'll be also challenging for them to lay anybody off because they, you know, said, oh, we brought everybody on.”
Balaji Srinivasan Aug 8, 2025 ▶ 51:58
Prediction Not checkable as stated
Sinofsky: Near-term AI ecosystem energy will center on developer tooling
“The most exciting things that are going to be going on in the near term are in the tooling to enable the platform.”
Steven Sinofsky Aug 8, 2025 ▶ 54:44
Insight
Sinofsky: Tooling is never a big business, driving irrational platform investment
“Tooling itself is never a really huge business because you have to have it. And so it's sort of this, well, if you have to have it, then there's going to be, there are going to be many alternatives and there are going to be some low priced ones, some high pric…”
Steven Sinofsky Aug 8, 2025 ▶ 55:57
Prediction Not checkable as stated
Srinivasan: AI will massively increase economic stratification and top performer leverage
“You're gonna have a stratification within every company and between companies where the top people will become more and more and more valuable because they can just do, do so much more quickly, right?”
Balaji Srinivasan Aug 8, 2025 ▶ 1:03:12
Prediction Not checkable as stated
Srinivasan: Futurism versus primitivism will replace the left-right political axis
“I think it's going to become actually the future political axis between futurism and primitivism. That's going to be the new left, right after the whole thing finishes rotating.”
Balaji Srinivasan Aug 8, 2025 ▶ 1:04:51
Insight
Sinofsky: China releases open AI models to commoditize US tech strengths
“What China is trying to do is commoditizing our strength. And so the release of a bunch of open, pure open source, open weight models coming from China is specifically designed to go after a rigid or complacent American view of AI, which is, you know, cloud ho…”
Steven Sinofsky Aug 8, 2025 ▶ 1:08:45
Prediction Not checkable as stated
Sinofsky: Regulatory scrutiny will force changes to tech M&A deal structures
“The recent wave of deals It is going to get looked at with scrutiny. And the truth is, is that something will change in what's permitted in, in deal structures in terms of oversight, because I think they're too big to get ignored by regulators in a tech indust…”
Steven Sinofsky Aug 8, 2025 ▶ 1:10:57
Opinion
Sinofsky: Regulatory M&A intervention acts as rent control on investing
“They really can't come out on the, we predict that this one will be successful because that, that just, it's statistically not a supportable public policy approach to the action and the markets are much, much better. Otherwise they're just basically institutin…”
Steven Sinofsky Aug 8, 2025 ▶ 1:13:13
Insight
Srinivasan: Small states are natural allies for early-stage tech startups
“Small states are the friends of little tech. Because they're the ones who don't take anything for granted. They want to build their economy and so on and so forth.”
Balaji Srinivasan Aug 8, 2025 ▶ 1:15:37
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