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Michael Eisenberg: How China Could Overtake the US in the AI Race | E1167

Michael Eisenberg is a Co-Founder and General Partner @ Aleph, one of Israel’s leading venture firms with a portfolio including the likes of Wix, Lemonade, Empathy, Honeybook and more. Before leading Aleph, Michael was a General Partner @ Benchmark. ----------------------------------------------- Timestamps: (00:00) Intro (00:56) Tech Revolution or Market Mania? (06:31) AI Showdown Between Tech Titans & Innovators (12:49) Investing in Competitive Markets (17:39) Horizontal SaaS vs. Vertical (21:52) Adoption Cycles & Technological Growth (24:22) The Role of AI in National Defense (27:19) The Ethical Dilemma of Defense Investment (34:41) Concerns Over Liquidity: IPOs, M&A, and IP (41:03) Selling Positions: All or Incremental? (49:57) From Hyperscalers to Sustainable Growth (56:32) Quick-Fire Round ----------------------------------------------- In Today’s Show with Michael Eisenberg We Discuss: 1. The State of AI Investing: Why does Michael believe that “foundation models are the fastest depreciating asset in history”? Are we in an AI bubble today? As an investor, what is the right way to approach this market? Who will be the biggest losers in this AI investing phase? Where will the biggest value accrual be? What lessons does Michael have from the dot com for this? 2. Where Is the Liquidity Coming From? Why does Michael believe that it is BS that private equity will come in and buy a load of software companies and be the primary exit destination? Why does Michael believe that IPO windows are always open? Should founders go out now? What is good enough revenue numbers to go out into the public markets? Why does Michael believe that Lina Kahn is a threat to capitalism? How does Michael predict the next 12-24 months for the M&A market? 3. AI as a Weapon: Who Wins: China or the US: Does Michael agree with the notion that China is 2 years behind the US in AI development? Does Michael agree that AI could be a more dangerous weapon in wars than nuclear weapons? Why does Michael suggest that for all founders in Europe, they should leave? US, China, Israel, Europe, how do they rank for innovating around data regulation for AI? 4. Venture 101: Reserves, Selling Positions and Fund Dying: Why does Michael only want to do reserves into his middle-performing companies? What framework does Michael use to determine whether he should sell a position? Which funds will be the first to die in this next wave of venture? Why does Michael not do sourcing anymore? Where is he weakest in venture? Why does Michael believe that no board meeting needs to be over 45 mins? ----------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on Twitter: https://twitter.com/HarryStebbings Follow Michael Eisenberg on Twitter: https://twitter.com/mikeeisenberg Follow 20VC on Instagram: https://www.instagram.com/20vchq Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ----------------------------------------------- #20vc #harrystebbings #michaeleisenberg #aleph #venturecapital #ai #ipo #china #uselection #israel #saas

Michael EisenbergguestHarry Stebbingshost
Jun 18, 20241h 2mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

AI Bubbles, Regulation, and Why Most VCs Won’t Get Liquidity

  1. Michael Eisenberg argues that AI—especially LLMs—is the most transformational technology of his lifetime, yet today’s frenzy is a classic bubble where most investors will lose money while a few foundational winners and critical infrastructure are created.
  2. He challenges conventional venture thinking on foundation models, SaaS, exits, and pro‑rata, stressing moats, uniqueness, and early IPOs over waiting for perfect conditions or private equity bailouts.
  3. Eisenberg is deeply skeptical of European-style regulation, current US antitrust policy, and overhyped PE and defense enthusiasm, positioning AI as a national power vector where the US, China, and Israel will dominate.
  4. He emphasizes applied AI, hard tech, and “labless” synthetic biology, and is candid about venture realities: most companies never get liquid, many funds will die, and board meetings and VC behavior often destroy more value than competition itself.

IDEAS WORTH REMEMBERING

5 ideas

Expect both massive AI value creation and massive capital destruction.

Eisenberg insists you must hold two truths at once: AI/LLMs will be epoch-defining, but today’s rush is a bubble where many investors—especially LPs overexposed to the same logos—will lose large amounts of money.

Moats and uniqueness matter more than chasing hot AI or SaaS categories.

He prefers non-obvious, less competitive markets where a company can become the only way to play a major trend (e.g., NVIDIA for AI compute), which commands premium public multiples and durable advantage.

Foundation model bets will be winner-take-few; most will fail for VCs.

He sees perhaps one or two foundation-model companies generating strong venture returns, with cloud giants likely acquiring smaller model players and OpenAI/Anthropic battling at the top, leaving many VCs and LPs underwater.

SaaS is over-saturated; AI will erode many horizontal software markets.

Eisenberg believes we’ve hit “peak SaaS,” with slowing growth, heavy competition, price erosion, and AI enabling enterprises either to build more in-house or rely on consultants/tools instead of buying shelf SaaS.

Regulation and geopolitics will shape AI winners, disadvantaging Europe.

He expects Europe’s heavy-handed regulation to cripple its AI competitiveness relative to the US, China, and Israel, and considers AI a national power akin to nuclear capability, making over-regulation in the US strategically dangerous.

WORDS WORTH SAVING

5 quotes

Foundation models are the fastest appreciating asset in history.

Michael Eisenberg (citing Gavin Baker)

Why invest in a business where the assets walk out at night?

Michael Eisenberg (quoting Bill Gates’ father)

If I'm in Europe and I'm starting a company, I would get out.

Michael Eisenberg

Lina Khan, I think, openly is a threat to American capitalism.

Michael Eisenberg

If something is not hard, it doesn’t matter.

Michael Eisenberg

AI as transformational technology vs. bubble dynamics and gold rush behaviorFoundation models, moats, and whether VCs can actually make money in themThe future of SaaS, applied AI, and emerging hard tech/labless biologyRegulation, antitrust, and geopolitical competition in AI (US, China, Europe, Israel)Liquidity, exits, and the myth of PE and secondaries as universal solutionsVenture portfolio construction, pro rata strategy, and selling decisionsFounder qualities, board dynamics, and how VCs should (and shouldn’t) help

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