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The firm's AI strategy targets the most highly skilled and compensated jobs first (lawyers, doctors, engineers). They then systematically move down the "labor pyramid" to fund companies addressing the next tiers of work, like finance and sales, eventually reaching physical labor with robotics.
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Sequoia partner Julian Beck advises that AI services ("autopilots") will initially target work that companies already outsource. This strategy avoids internal reorgs and firings, replaces an existing budget line cleanly, and targets buyers who are already comfortable with external work products.
AI is beginning to impact labor not by firing employees, but by reducing the need for new hires, particularly in white-collar roles like consulting and business services. This will likely suppress wage growth at the higher end, creating a natural rebalancing of the K-shaped economy from the top down.
OpenAI and Anthropic are creating billion-dollar joint ventures with PE firms like Blackstone. They will embed engineers into portfolio companies to rapidly implement AI, optimize operations, and explicitly target what they see as trillions of dollars in human labor costs for knowledge workers.
Founders should focus on how AI can replace or augment human labor and services, which constitute the vast majority of enterprise budgets, rather than just layering AI onto existing software.
The economic incentive for VCs funding AI is replacing human labor, a $13 trillion market in the US alone. This dwarfs the $300 billion SaaS market, revealing the ultimate goal is automating knowledge work, not just building software.
Sequoia Capital highlights that the next trillion-dollar companies will sell automated services ("autopilots"), not just software tools ("copilots"). They are pursuing the massive total addressable market of human labor, which is ten times larger than the entire software market.
VCs have traditionally ignored the massive $16T services sector due to its low margins. AI automation can fundamentally change this by eliminating repetitive tasks, allowing these companies to achieve margin profiles similar to software businesses, thus making the sector newly viable for venture investment.
The firm made a strategic decision to invest in AI that fully automates professional roles (e.g., an AI oncologist, an AI chip designer) rather than building "co-pilot" tools that merely assist humans. They believe the larger opportunity lies in completely doing the work, not aiding it.
The "pyramid replacement" theory posits that AI will first make junior analyst and other entry-level positions obsolete. As AI becomes more agentic, it will climb the corporate ladder, systematically replacing roles from the base of the pyramid upwards.
The previous startup growth model involved using capital to hire massive amounts of talent. The new playbook prioritizes investment in AI and infrastructure as the primary competitive weapons. Companies deploying AI fastest see higher margins, better stock performance, and can attract the most elite (but fewer) employees.
