
Investors should prioritize Nebius (NBIS) as a high-conviction "picks and shovels" play, as its vertical integration and recent deal with Meta position it to challenge traditional cloud hyperscalers. In the cybersecurity sector, focus on platform consolidators like CrowdStrike (CRWD) and private leader Cyera, which are capturing the increased security demand created by AI data usage. Supabase is emerging as a critical infrastructure winner, seeing explosive growth as the preferred backend for AI-generated applications and agentic workflows. To capitalize on the "Agentic Layer," look toward gatekeeper tools like Vercel and Cursor that dictate which downstream technologies are integrated into the AI ecosystem. Finally, prepare for a massive IPO wave featuring high-value targets like SpaceX, though investors should expect high volatility during the first 120 days of trading.
The growth team at Accel (including partners Arun Mathew, Matt Weigand, and Miles Clements) discusses their investment philosophy, the current AI super-cycle, and specific portfolio companies that are defining the next generation of technology.
• Accel led a $150 million investment into Nebius approximately 16 months ago, which they claim is up 13x today. • The company is positioned as a "next-generation hyperscaler" for the AI era. • Vertical Integration: Nebius owns the entire stack, from data center design and hardware server racks to the software layer. • Market Position: They are competing with traditional hyperscalers (AWS, GCP, Azure) by offering specialized infrastructure for AI training and inference. • Key Customer: Recently announced a major deal with Meta.
• Infrastructure Play: Investors should look at Nebius as a play on the "picks and shovels" of AI. Their ability to control capacity by owning data centers makes them a durable competitor to big tech. • Inference Growth: The team believes the demand for inference (running AI models) will grow exponentially as agents become more common, benefiting vertically integrated providers like Nebius.
• Accel was an early Series A investor in 2005 and famously held a 10% stake. • The team discussed the "lore" of investing in Meta at a $20 billion valuation when the market thought it was peaked; they realized then it could be a $100 billion+ company.
• Platform Power: Meta is viewed as the original "platform company." The team sees a direct parallel between the ecosystem built on Facebook in 2005 and the ecosystems currently being built on OpenAI and Anthropic today. • Long-term Holding: The partners admitted they "didn't hold long enough," suggesting that for generational winners, the upside often exceeds even the most bullish professional estimates.
• An open-source Firebase alternative (backend database) that is seeing "atmospheric" growth. • It has grown from under 1 million developers to 9 million developers in just over a year. • Growth Driver: It is becoming the default backend for "vibe coding" (AI-generated apps) and agentic workflows.
• AI Distribution: In the AI era, distribution is shifting. AI models (like Claude or ChatGPT) are now recommending the "downstream" tools (like Supabase) to users, creating massive organic growth for developer-friendly products. • Enterprise Adoption: While it started with startups, the team is seeing a massive surge in enterprise developers using Supabase to power AI agents.
• The team highlights a "counterintuitive" trend: while some feared AI would disrupt security, it has actually increased the "surface area" for attacks, making security platforms more valuable.
• A leading AI/Data security company co-led by Accel and Sequoia. • Context: Originally a data security firm, it has pivoted to AI security because "data is the fuel for AI." • Sentiment: Extremely bullish; the team notes it is one of the highest-valued private security companies currently.
• Mentioned as a "priority" and a beneficiary of the current environment. • Despite market volatility, the team views it as a "platform" that will accrue value by incorporating AI security natively.
• Platform Consolidation: The team believes the security market won't support 1,000 small players; instead, value will accrue to a few major platforms (CrowdStrike, Palo Alto Networks, Sayara).
• Theme: We are moving from "chatting with AI" to "agents" that execute long-running tasks. • Portfolio Mentions: Cursor (AI code editor), Lovable (AI app builder), and Vercel (frontend cloud). • Insight: These companies act as "choke points" or "gatekeepers" that decide which other tools and databases get used in the AI workflow.
• Sentiment: Bullish. • Insight: Despite concerns about high costs, Accel believes we are only scratching the surface of global token consumption. They predict that as AI capabilities expand, infrastructure forecasts will consistently be revised upward.
• Theme: The team anticipates a massive wave of high-value IPOs (including companies like SpaceX). • Insight: They believe the market can absorb these large listings because retail investors are eager to participate in the AI/Space cycle for the first time. • Risk: The first 60–120 days of these IPOs may be "rocky" or "volatile," but the long-term business models are viewed as exceptionally strong.
• Prediction: Ten years ago, there were zero $1T companies. Today there are 14. Accel predicts the next cycle will produce $10 trillion companies.