20VC

Harry Stebbings

Meta's Muse, called the first real ChatGPT competitor, pairs autonomous agents with a free consumer LLM and added roughly $100B to Meta's market cap.Jev targets 20% of LLM API spend at one-fifth the price, potentially turning $20B into $4B of revenue.OpenAI's projected $278B net burn and roughly $700B of CapEx keep capital intensity central to the AI trade.

Harry Stebbings

Jensen Huang’s AGI claim meets Rory O’Driscoll’s skepticism, while Fable 5.1 delivers Jason Lemkin’s first step-function coding experience since last year’s “three dot” models.Instinct’s quickly cloned WhatsApp distribution, $2.5B pre-revenue valuation, Wonderful’s $5B repricing, and Anthropic’s reported roughly $6B deal reversal expose a market where rule-breaking and capital access remain central.

Harry Stebbings × Eno Reyes

AI may be priced by outcomes rather than tokens, favoring open models for commodity work and proprietary post-trained specialists for high-value workflows.That challenges frontier-model TAM as Anthropic’s $2T framing depends on Claude Code amid fierce developer-tool competition, model lock-in and margin risk; watch whether the harness becomes the durable application layer.

Harry Stebbings × Jerry Murdock

Murdock places a potential AI-bubble correction between October 2026 and March 2027, citing hyperscaler debt, narrow private-debt spreads, and Japan’s Treasury sales as possible triggers.At least half of neoclouds could disappear within 36 months, while Fireworks stands out on capital efficiency; OpenRouter’s 5% markup may face disruption within three to five months, with sandbox security unresolved.

Harry Stebbings × Nikesh Arora

Airtable’s $1.285B sale at $485M of revenue and 20% growth signals a quiet capitulation among mature software companies, while Anthropic’s breaches point to a security spending supercycle as model-driven attacks compress response times.Inference demand remains strong across cloud and Palantir, but value may shift toward compute, land, permits, energy, and organizational context; Moonshot’s $35B financing makes model substitution a potential dislocation rather than demand destruction.

Harry Stebbings × Anastasios Angelopoulos

Kimi K3’s wins over every American model on meaningful tasks challenge the distillation-only narrative and strengthen the case for enterprise AI sovereignty built on proprietary data.Anastasios expects a multi-hundred-billion or trillion-dollar American-first open-source company, but predicts two-thirds of at least 75 neo-labs will fail or be acquired; regulation, data economics and infrastructure debt remain decisive risks.

Harry Stebbings × Joon Sung Park

Simile’s defensible AI data strategy combines behavioral, transaction, and randomized-control-trial data to model how people shape outcomes, not merely predict them.That 85% validation and rapid enterprise pull support Park’s vision of synthetic panels surpassing human panels within 3 years and eventually commanding $100 million simulations, with compute economics and misuse still unresolved.

Harry Stebbings

Jensen Huang’s 50-company open-weights letter, signed by Microsoft, Meta, IBM and Sam at OpenAI but not Anthropic, signals that frontier labs now face competition from their own customers.Open weights threaten Nvidia’s CUDA margins while LLM agents create a likely security catalyst, and Google’s negative free cash flow plus upcoming CIO budget ceilings could amplify AI volatility.

Harry Stebbings × Matt Murphy

Menlo’s Anthropic investment shows why access to an outlier can outweigh textbook ownership and entry-price discipline, even in a pre-revenue company valued above $4 billion.After model launch, rising revenue, and Amazon and Google partnerships through Bedrock and Vertex, Menlo expanded its position into a $500 million-plus SPV, while compressed Series A evidence and higher growth hurdles remain key risks.

Harry Stebbings

Apple’s trade-secret suit against OpenAI is also leverage over 400 employee defections, putting the company’s hardware project “probably on the bubble” as coding emerges as the larger economic opportunity.AI coding may already approach 20% of the roughly $250bn US developer wage pool, shifting the growth debate toward agentic taxes, co-worker pricing, token budgets, and the risk of hitting TAM unusually fast.