20VC: Anthropic Raises $45BN but Falls Short on Compute | OpenAI Crushes with GPT5.5 and Codex: Back in the Game? | China Blocks Manus $2BN Deal to Meta | Thoma Bravo Hand Back Medallia Keys to Creditors | Why Google is a Bigger Buy Than Ever Before
Episode
85 min
Read time
3 min
Topics
Relationships, Investing, Startups
AI-Generated Summary
Key Takeaways
- ✓Agent-driven model selection: AI agents, not humans, will increasingly choose which LLMs and SaaS vendors get used. Lemkin reports his marketing and customer success agents prefer OpenAI over Claude for most workflows. This shifts competitive advantage away from human UX toward API quality and agent compatibility — founders should test their products against agent use cases, not just human ones.
- ✓Compute forecasting risk: Foundation model companies must commit 4-5x their current run-rate revenue in CapEx two years before that revenue materializes. At a $10B run rate growing 10x, that requires roughly $300B in forward infrastructure bets split between the company and hyperscaler partners. Getting this wrong in either direction — over- or under-building — creates either stranded assets or catastrophic capacity shortfalls.
- ✓Three-bucket SaaS valuation framework: Enterprise software now falls into three categories: melting icebergs (agents bypass entirely, terminal value near zero), systems of record (retained but no growth, calculable but modest value), and agent-accelerated platforms (increasing returns as AI leverages the product). Investors and founders should explicitly identify which bucket their company occupies before making capital allocation or exit decisions.
- ✓PE buyout model structural breakdown: Thoma Bravo's Medallia loss — $5.1B equity wiped on a company with ~$200M EBITDA and only ~$2B debt — shows the failure mode is overpaying, not over-leveraging. A $1B low-growth pre-AI business cannot service $2B+ in debt while simultaneously funding an AI transformation. Other at-risk names include Coupa, New Relic, Anaplan, Zendesk, Avalara, and Smartsheet.
- ✓Venture exit funnel contraction: The three traditional exit routes — strategic acquisition, IPO, and PE buyout — have narrowed to effectively one viable path: large IPOs requiring $400M+ revenue growing 40%+. Companies at $100M ARR growing 10-20% now lack credible exit options. Portfolio construction should shift toward fewer but larger positions, accepting that most companies will not reach exit scale rather than planning for mid-market outcomes.
What It Covers
Harry Stebbings, Rory O'Driscoll, and Jason Lemkin analyze five major stories: Anthropic's $45B hyperscaler fundraise amid compute shortages, OpenAI's revenue miss versus GPT-4.5 and Codex comeback, China blocking Meta's $2B Manus acquisition, Thoma Bravo's $5.1B Medallia equity wipeout, and the structural collapse of PE as a venture exit route.
Key Questions Answered
- •Agent-driven model selection: AI agents, not humans, will increasingly choose which LLMs and SaaS vendors get used. Lemkin reports his marketing and customer success agents prefer OpenAI over Claude for most workflows. This shifts competitive advantage away from human UX toward API quality and agent compatibility — founders should test their products against agent use cases, not just human ones.
- •Compute forecasting risk: Foundation model companies must commit 4-5x their current run-rate revenue in CapEx two years before that revenue materializes. At a $10B run rate growing 10x, that requires roughly $300B in forward infrastructure bets split between the company and hyperscaler partners. Getting this wrong in either direction — over- or under-building — creates either stranded assets or catastrophic capacity shortfalls.
- •Three-bucket SaaS valuation framework: Enterprise software now falls into three categories: melting icebergs (agents bypass entirely, terminal value near zero), systems of record (retained but no growth, calculable but modest value), and agent-accelerated platforms (increasing returns as AI leverages the product). Investors and founders should explicitly identify which bucket their company occupies before making capital allocation or exit decisions.
- •PE buyout model structural breakdown: Thoma Bravo's Medallia loss — $5.1B equity wiped on a company with ~$200M EBITDA and only ~$2B debt — shows the failure mode is overpaying, not over-leveraging. A $1B low-growth pre-AI business cannot service $2B+ in debt while simultaneously funding an AI transformation. Other at-risk names include Coupa, New Relic, Anaplan, Zendesk, Avalara, and Smartsheet.
- •Venture exit funnel contraction: The three traditional exit routes — strategic acquisition, IPO, and PE buyout — have narrowed to effectively one viable path: large IPOs requiring $400M+ revenue growing 40%+. Companies at $100M ARR growing 10-20% now lack credible exit options. Portfolio construction should shift toward fewer but larger positions, accepting that most companies will not reach exit scale rather than planning for mid-market outcomes.
- •Google as multi-vector AI winner: Google benefits regardless of whether Gemini or Anthropic wins the foundation model race, since it holds equity in Anthropic, supplies compute via TPUs, and generates cash flow from search. Unlike Nvidia's single-threaded CapEx demand bet, Google has multiple winning scenarios — AI adoption fast or slow — with the sole existential risk being ChatGPT materially eroding Google Search revenue.
Notable Moment
Lemkin reveals his company's Salesforce spend dropped from ten seats to two while the annual bill rose from $12,000 to $22,000 — agents consume dramatically more tokens than humans while eliminating headcount. He argues this token explosion makes the entire compute-equals-revenue thesis directionally correct at the macro level, even when individual model quality causes short-term demand air pockets.
Episode Transcript
It's entirely plausible in a world of super big exits. The 10 super big exits cover the entire nut from the LP perspective such that it's still a good business. It's a whole new world where I think OpenAI is even more competitive again. The dirty little secret adventure again is how much of your money you make in that one year in 10 when everybody buys the dream. More and more the agent is going to choose what models and just what vendors we use. It's possible you look back and see that as the first disconnect from compute equals revenue. They didn't weigh over the lever. They just weigh overpaid for it. You can service 2,000,000,000 plus of debt on a 1,000,000,000 low growth company with a pre AI story that has to transform to AI. This is 20 VC with me, Harry Stebbings. It's my favorite show of the week. Rory O'Driscoll, Jason Lemkin, the biggest news in tech. In other words, this shit's gonna make you much smarter at a dinner party. So what's on the agenda this week? Number one, $45,000,000,000 poured into Anthropic from the hyperscalers. Next, China blocks Meta's $2,000,000,000 acquisition of Manus. And then finally, Thoma Bravo hands over the keys to Medallia, to creditors, 5,100,000,000 of equity wiped out. What is the future founder working nonstop to raise your next round? Are you an investor doing all you can for your portfolio companies to help them stand out? Funding and scaling your vision is challenging. Banking should not be. HSBC Innovation Banking caters to tech and healthcare founders all over the world who need a really great banking partner that matches their pace, offering fast onboarding, product packages designed for your business, and capital solutions built for high growth start ups and the VCs investing in them. With HSBC Innovation Banking's rapid onboarding, you can get access to your new accounts and facilities quickly so your team can stay focused on building and scaling what's next. You'll be paired with your own dedicated team of venture ecosystem veterans who have the network and experience to guide companies in your specific sector at your specific stage. And behind that support is this real strength, HSBC's $3,000,000,000,000 dollar balance sheet and global network that provides this stability and international reach needed to grow your operation with confidence. To see how HSBC Innovation Banking can support you, whether you're on day one or day a thousand. Visit innovationbanking.hsbc to learn more and connect with an innovation banking specialist. That's innovationbanking.hsbc. While HSBC manages your corporate banking needs, Deal helps you build the global team behind it. Founders scale start ups faster on Deal, grow without borders. Deal handles the hard parts of global hiring so you can stay focused on growth. Set up payroll for any country in minutes, hire anyone, anywhere, and get visas handled fast. Deal takes care of onboarding, HR, IT, EOR, benefits, and compliance, everything your start up needs to …
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“Lemkin reports his marketing and customer success agents prefer OpenAI over Claude for most workflows.”
by OpenAI
“Lemkin reports his marketing and customer success agents prefer OpenAI over Claude for most workflows.”
by Salesforce
“Lemkin reveals his company's Salesforce spend dropped from ten seats to two while the annual bill rose from $12,000 to $22,000 — agents consume dramatically more tokens than humans while eliminating headcount.”
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