Earnings Call, Conference Presentation
This is AGI: Sequoia AI Ascent 2026 Keynote
- The AI wave is projected as the first technology shift combining software and services, with a total services revenue opportunity estimated between $5 trillion and $50 trillion.
- The industry is transitioning from incremental productivity gains of 10–40% ("faster horses") to discontinuous shifts of 10x to 40x ("cars") that will fundamentally alter organizational structures.
- A significant gap is expected to widen between the rapid creation of new capabilities by foundation models and their adoption within Fortune 500 enterprises, creating substantial opportunities for application-layer companies.
- Discontinuous changes are predicted between the "reasoning" inflection point and the "long horizon agents" inflection point, where agent capabilities to persist and recover from failures may functionally resemble AGI.
- The current year is identified as 2026, characterized by agents as the defining feature of the landscape, with model capabilities to handle complex tasks shifting from tens of minutes to hours of sustained operation.
- Agent "agenticness" is expected to evolve on a sliding scale from helpers to self-managing interns and eventually to entities authorized to push to production without oversight.
- The diffusion of AI capabilities into commerce, including agent-to-agent negotiations and cybersecurity policing, is anticipated to accelerate at an unprecedented, potentially super-exponential rate.
- Development timelines are expected to compress drastically, reducing projects that previously required a century to completion in approximately 100 days.
- Predictions for the near future suggest that 99% of all physical work and 99.9% of all cognition on Earth will be performed by machines.
- A "race" has begun between labs pursuing a technology-out approach and startups utilizing a customer-back approach, with no competitive lead considered safe due to the rapid emergence of new capabilities.
- The AI era may result in "alien design," where optimized outcomes are unintuitive to humans, potentially necessitating a new fundamental science of AI and consciousness within the next couple of decades.
- While technical foundations are expected to change daily, business durability is advised to rely on wrapping around customers to build moats of Moats, Affordance, and Diffusion.
- It is suggested that while work processes change, the human connection remains the constant factor providing value and meaning to AI-generated output.