Harry%20Stebbings

The deceptive nature of growth and the AI durability framework Growth is often a mask that hides fundamental failures within a business. In the current venture climate, hyper-growth can blind investors to underlying structural issues, leading to catastrophic miscalculations. Miles Clements, Partner at Accel, argues that the only way to avoid these traps is a rigorous evaluation of "time to value" versus the "durability of value." This framework separates transient novelties from generational platforms. Take the contrasting examples of legal or accounting AI versus "vibe coding" apps. AI tools for professional services often suffer from slow adoption cycles; selling to lawyers and accountants is a grind. However, once integrated, the durability of that value is transformational. Conversely, early vibe coding apps offer instant gratification—the weekend warrior can build a functional app overnight—but they often lack long-term retention because the value doesn't compound. The coding vertical has become the primary battleground in AI because it satisfies both ends of the spectrum: developers see productivity gains within hours, and the utility scales exponentially as teams integrate the tools into their core workflows. Cursor remains the engineering platform of record despite Twitter noise The "Cursor is dead" narrative, fueled by competitive moves from Claude Code and public criticism from high-profile figures like Chamath Palihapitiya, ignores the sheer scale of the company's market expansion. While Anthropic's Claude Code has captured the zeitgeist, the market for AI-assisted engineering is not a zero-sum game. Clements highlights that these tools are bringing entire cohorts of new developers online and radically increasing consumption per user. Critics often point to Cursor's reliance on external models or its perceived high cost, but the metrics tell a different story. The company recently surpassed $2 billion in Annual Recurring Revenue (ARR), a figure that signals unprecedented product-market fit. Furthermore, Cursor is successfully transitioning from a feature-based IDE to an agent-driven platform. Data indicates that 90% of Cursor users are daily active users of the agent product, which grew 15x over the last year. By the time most observers realized Cursor was a player, it had already begun building specialized coding models to ensure enterprise-grade performance that generalist models cannot match. Learning from the sting of missed generational founders No venture firm has a perfect track record, and Miles Clements is candid about the misses that haunt Accel. Two specific examples—ServiceTitan and Rippling—illustrate the dangers of rigid adherence to traditional valuation rules. In the case of ServiceTitan, Accel hesitated on a round in the $250 million range because of strict internal caps on vertical SaaS multiples. The company eventually reached a $9 billion valuation. The lesson was clear: if you understand the depth of market disruption, you must be willing to break the rules on price. Rippling represents a different kind of miss—one rooted in an underestimation of what Clements calls the "marginal ease of ARR accumulation." Parker Conrad demonstrated a unique ability to capture margin in areas others ignored, such as laptop provisioning and IT leasing, turning them into high-growth revenue lines. While Accel stuck to its "knitting" regarding ownership thresholds and valuation caps, the reality is that generational founders like Parker Conrad deserve a different playbook. In a hyper-competitive market, the "science" of valuation must occasionally yield to the "art" of recognizing when a founder is operating on an entirely different plane. The shifting mechanics of venture ownership and exits The traditional venture model—investing at the Series A to secure 20% ownership and riding it to an IPO—has been inverted. In today's market, firms must often "ladder" their way into a significant position. This involves sponsoring tenders, participating in growth rounds, and buying into the IPO. This multi-stage approach is essential when dealing with companies like Stripe or DataBricks that stay private longer. This delay in going public is a rational response to the current state of the public markets, which Clements describes as increasingly irrational and "casino-ized." When a single security report or a macro shift can wipe out billions in market cap regardless of company fundamentals, founders naturally prefer the relative stability of private secondary markets. For the top tier of private companies, the public market's traditional benefits—employee liquidity and M&A currency—are now readily available through private tenders. Consequently, the threshold for a successful IPO has moved; companies now need a clear line of sight to a $5 billion market cap and beyond to escape the "murky" middle ground where smaller public stocks are often ignored or oversold. Why founder conviction is the ultimate signal In a world where technology is transient, the founder remains the only durable asset. Miles Clements emphasizes that when a founder's conviction wanes, the investment thesis usually dies with it. This is why Accel continues to double down on companies where the original visionaries, like Mike Cannon-Brookes at Atlassian, remain at the helm. These leaders possess the resilience to navigate the "humbling" reality of market cycles and the emergence of disruptive technologies like AI. The venture business remains a human one. Success isn't just about picking the right sector; it’s about the professional standard maintained over decades. This involves a commitment to the "rituals" of the firm—the partner meetings and portfolio reviews—that keep investors grounded when the market gets euphoric. While the tools of the trade have shifted from issue tracking to autonomous agents, the core requirement remains the same: identify the outliers who are building for a ten-year horizon, not just the next fundraising cycle. The future belongs to those who can distinguish between a momentum-chasing fad and a platform with the structural integrity to compound for decades. Implications for the next decade of innovation The AI revolution is not over; it has barely entered its first true compounding phase. The belief that the "generational" bets in AI were all made years ago is a fallacy that Clements has since rejected. While early foundation model investments like OpenAI and Anthropic were massive, the application and agent layers are just beginning to take shape. We are moving toward a world where software replaces labor directly, rather than just augmenting it. This shift demands a change in investor mindset—looking for outcomes that aren't just $1 billion exits, but $100 billion platforms. The goal is no longer to find a company that hits a double; it is to find the ones capable of rewiring the entire global economy.