Thrive Raises New $10B Fund | OpenAI Buys OpenClaw | Stripe at $140B: Is Adyen Wildly Undervalued?

Anthropic raises $30 billion at a $380 billion post-money valuation, upscaling from an initial $10 billion target.

• The round represents a "momentum play" driven by unprecedented revenue acceleration: 10x gap revenue growth year-over-year for three consecutive years, a milestone the speakers note has never occurred at this scale.
• Investors are bypassing traditional early-stage software selection (e.g., "picking accounting software") to secure "carry" via massive, concentrated stakes in AI infrastructure leaders.
• Dario Amodei noted that underinvesting risks missing a cycle, while overinvesting risks a "long compute" burnout; the company aims to be more circumscribed than OpenAI regarding future capital commitments.

Thrive Capital closes a $10 billion fund ($9 billion growth vehicle), signaling that venture capital is shifting exclusively toward "escape velocity" companies capable of defying the "gravity well" pulling down traditional SaaS valuations.

• Capital demand for Series A rounds has reached $1.2 billion for a $30 million ask, illustrating extreme elasticity in capital supply.
• The fund strategy focuses on pro-rata participation in the largest rounds (e.g., $100B+ valuations) to maintain ownership stakes without the need to "pick winners" from a shrinking pool of early-stage opportunities.

Sentiment has inverted regarding traditional SaaS as Wall Street "fell in love with AI" and "fell out of love with SaaS," despite the latter trading at 8-9x cash flow with 10-20% growth.

• Public SaaS stocks (e.g., Salesforce, ServiceNow) are trading as if facing "presumptive failure," contrasting with the "presumption of success" enjoyed by AI firms like Anthropic.
• Enterprise adoption is being "willed into existence" by CEOs who are prioritizing AI bets to reduce headcount and increase efficiency, regardless of immediate ROI validation.
• The speakers predict a 2-3 year cycle of massive AI spending by enterprises, followed by a "retrenchment period" once ROI pressures mount.

OpenAI acquired the creator of OpenClaw (a tool designed to break AI guardrails and enable semi-autonomous agents), valuing the technology as a "movement" rather than a specific product.

• The acquisition signals a shift where autonomous agents running 24/7 without strict guardrails have become a developer expectation, despite safety concerns raised by Anthropic.
• Jason Lampkin estimated the deal value at roughly $100 million, noting the technology itself is commoditized and easily cloned (e.g., by Meta), making the "mojo" and developer mindshare the primary asset.
• The move elevates the risk profile of inference costs and security liability, forcing CISOs and B2B companies to build "agent-first security" products to manage data exfiltration risks.

Stripe vs. Adyen valuation dichotomy highlights the market's preference for high-growth, private capital flexibility over current profitability.

• Stripe is valued at $140 billion with higher growth but lower transparency, while Adyen is valued at ~$40-50 billion with massive profitability (~50% operating margins) but slower growth (~15-20%).
• The narrative chasm is attributed to Adyen's poor communication strategy and lack of a compelling "AI narrative," whereas Stripe maintains a dominant brand story despite being private.
• Rory O'Driscoll prefers Adyen for value but acknowledges Stripe's private status offers superior agility to navigate capital-intensive transitions without public market pressure.

Workday CEO transition saw Anil Sabharwal return as CEO only eight months after his departure, signaling acute anxiety over product roadmap adaptation to AI.

• The "boomerang" move suggests that founders possess unique institutional memory regarding trade-offs that hired executives cannot quickly replicate, especially when core business models must be reimagined for the AI era.
• Jason Lampkin identified this as a "canary in the coal mine," indicating that even mature SaaS categories like HR software face immediate disruption from AI agents, contrary to previous assumptions of slower adoption.

Figma's "missed" AI opportunity represents a bear case where the company failed to capture an estimated $300-400 million in new revenue from AI-native prototyping tools (Lovable, Replit) in a single sector.

• Figma currently trades at ~10x revenue, down from potential multiples of 20-25x had it successfully captured the AI prototyping market; failure to adapt could compress valuations toward 5x in the future.
• The speakers argue that creative and coding workflows are the most "AI-adjacent" and vulnerable to disruption, whereas financial and accounting software (80% independent of AI) face slower disruption curves.

Venture capital dynamics are shifting toward "mega-funds" (e.g., Lightspeed, GV, Thrive) as early-stage decision-making is replaced by the need to maintain ownership in unicorn-scale rounds.

• Founders are leaving large firms (e.g., Arif Janmohamed, Max Gazzoli) to return to early-stage investing, citing a desire for autonomy and a rejection of the bureaucracy of managing massive AUM, despite the economic cost of forfeiting unvested carry.
• The "SaaS Apocalypse" is redefined not as the death of software, but as the death of "old school SaaS" (pre-2022, horizontal workflow tools) which are being abstracted away by AI agents.

Public market betting involves a "momentum trade" where narrative dominance drives valuations for 1-2 years before a potential correction.

• Shopify is highlighted as a potential "screaming buy" if its revenue durability holds, trading at ~10x cash flow with 27% growth, though it faces existential risk from "conversational commerce" bypassing its UI.
• Monday.com is discussed as a value play with $1.45B projected revenue and 17% operating margins, but its durability is questioned due to higher churn rates in the SMB market compared to enterprise platforms like Salesforce.
• Rory O'Driscoll and Harry Stebbings committed to a $200,000 bet each (split across four public stocks) to test their conviction in the "bottom" of the market, with Shopify as a primary candidate.

Forward-looking risk factors include the potential for AI ROI failure to halt spending, the "fragility" of AI agents requiring new security paradigms, and the consolidation of the software industry into a handful of AI-native winners.

• SaaS growth rates for the public sector are approaching 10% annualized, with a risk of stagnation to single digits if AI fails to unlock significant labor productivity savings.
• The "swing" in long-term growth (GDP + 3-6% vs. GDP + 2%) hinges entirely on whether AI achieves massive productivity gains; otherwise, growth will regress to historical lows.
• Agent proliferation means that even "moats" like Salesforce or Shopify UIs are at risk of being bypassed by autonomous agents that bypass traditional user interfaces entirely.