Mar 6, 2026, 9:01 AM ETFireside Chat, Conference Presentation, Interview

Thomas Laffont, Coatue - Anthropic, Citrini Paper, AI Volatility & Next Mag 7

Companies are rapidly increasing investment in AI tools, with some board decks indicating plans to triple spending on these technologies within the next year.
Board meetings are increasingly focused on ensuring organizations are "most AI-forward" to avoid being outcompeted by early adopters.
Late-stage private companies like Clock Code (Cursor) are experiencing exponential growth, with revenue scaling significantly between fundraising discussions and formal announcements.
Thomas Lafont noted that while his firm did not predict the specific speed of Clock Code's adoption, the trend indicates a powerful underlying market shift.
Investors observe that "viral" product releases, such as those from Claude, are causing daily market volatility, erasing hundreds of billions in market cap and disrupting SaaS valuations.
The firm anticipates that several major private companies, including OpenAI, SpaceX, and Anthropic, will likely go public within the next 12 to 24 months.

Lafont advocates for democratizing access to private companies, suggesting either public listings or new methods to allow broader public participation in private equity.
The "Magnificent 7" index has been relatively flat recently, driven largely by market questioning of AI positioning, notably impacting companies like Microsoft.
Lafont predicts the next major index drivers will likely include private giants such as OpenAI, Anthropic, and Revolut rather than current public incumbents.
SaaS companies face re-rating pressure due to decelerating organic growth (e.g., Workday growing at ~13%) while trading at high multiples (28-30x GAAP) compared to faster-growing sectors like semis.
For SaaS valuations to stabilize, companies must either re-accelerate top-line growth via AI integration or accept multiple compression to ~20x earnings.
The terminal value of SaaS companies is increasingly questioned based on the potential for AI to rewrite their business models in three to four years.

Kotu manages approximately $70 billion in private assets and $30 billion in public assets, operating as a crossover fund.
The firm's investment philosophy relies on "Big Fucking Ideas" (BFI), prioritizing TAM expansion and growth over the next 5-10 years rather than static market size.
Thomas Lafont cites the iPhone and Uber as canonical examples where TAM grew 5x-10x due to product innovation and friction reduction, rather than existing market size.
The firm emphasizes risk management as a co-equal pillar to innovation investing, citing the 80% market decline in 1999-2001 as a formative lesson in endurance.
Lafont rejects the "screaming fire in a crowded room" analogy regarding AI bubbles, arguing that early, aggressive questioning of risks is healthy and prevents massive future crashes.
The firm is actively integrating coding-first approaches and AI agents into its own operations to enhance due diligence and creative analysis.

Despite AI efficiency gains, Lafont reports that none of his portfolio companies are planning to cut engineering staff; the goal is to increase productivity to enable new features and services.
Software companies may shift from selling software licenses to selling the underlying "work" (e.g., HR services), potentially repurposing operational staff for strategic roles.
Lafont draws a parallel to the 1970s ATM introduction, suggesting that increased efficiency may lead to an expansion of total addressable market (TAM) rather than net job loss.
The firm expects that while US engineer productivity may rise, outsourcing dynamics (e.g., to India) could shift, though overall demand for engineering talent is not yet contracting.
Lafont views autonomous agents as tools to enhance, rather than replace, the "taste" and creativity required in big idea investing.

Thomas Lafont and his brother Philippe run the firm together; the age difference in their English language acquisition explains their differing accents.
The firm recently brought in a former Goldman Sachs executive to drive cloud-native, coding-first adoption across the organization.
Kotu's "BFI" (Big Fucking Idea) internal moniker is intended to be jolting and to signal that true transformative investments should disrupt conventional thinking.
The firm plans to maintain its investment staff size or hire more engineers if AI tools enable them to analyze more companies and perform higher-quality work.