Sequoia Capital
Showing 46–60 of 186 transcripts.
- 27 min
Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy
Dmitri Dolgov, Konstantine Buhler
Dmitry Dolgov, Waymo's co-founder, outlines a 21-year evolution from DARPA challenges to a sixth-generation autonomous fleet that has achieved 200 million fully autonomous miles and delivered over 20 million rides with a safety profile 13 times superior to human drivers. The company's architecture utilizes a multimodal "Foundation Model" integrating physics reasoning and spatial understanding to power a structured, end-to-end system across 11 cities, now accelerating toward global expansion in London and Tokyo through the newly launched Waymo Origin vehicle. This mission-driven approach bypasses incremental improvements to rapidly scale commercial deployment, treating full autonomy as an existential imperative to eliminate the 13 million annual road fatalities while transitioning the core technology into a primary family transportation tool.
- 28 min
OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck
OpenAI executives estimate they are 80% toward achieving AGI, a milestone driven by aggressive compute acquisition strategies and architectural innovations that currently enable AI to autonomously engineer software kernels. The organization is pivoting toward an enterprise and consumer model where a single AGI entity handles complex goals, urging startups to leverage agentic coding tools for massive productivity gains while navigating a landscape where human attention has become the primary bottleneck. This shift is underpinned by anticipated scientific breakthroughs in physics and biology, alongside internal reforms designed to manage the risks of autonomous agents within a future where humans oversee teams of AI rather than writing code manually.
- 32 min
This is AGI: Sequoia AI Ascent 2026 Keynote
Pat Grady, Sonya Huang, Konstantine Buhler
This analysis outlines a $10 trillion market opportunity driven by a paradigm shift from information distribution to autonomous computation, where AI agents are rapidly replacing cognitive labor with agentic systems capable of long-horizon execution. Founders are advised to leverage the "MAD" model—focusing on customer moats, immediate affordance, and bridging the adoption diffusion gap—to capitalize on a timeline that compresses years of work into days. The event further projects that by 2026, the convergence of these technologies will trigger a cognitive industrial revolution, fundamentally redefining human value from task execution to relationship building and strategic oversight.
- 20 min
Robotics' End Game: Nvidia's Jim Fan
NVIDIA Robotics is transitioning from language-centric VLA models to World Action Models like Dream Zero, which prioritize learning physical laws through video prediction to enable zero-shot generalization. This architectural shift is supported by a new data collection strategy replacing low-efficiency teleoperation with scalable egocentric video and neural simulators, establishing a log-linear scaling law between training hours and dexterity. Looking toward 2040, Jim Phan projects the industry will achieve a "Physical Turing Test," an orchestration "Physical API" for automated fleets, and "Physical Auto-Research" where robots autonomously improve their own designs.
- 27 min
Demis Hassabis: We're Three Quarters of the Way to AGI
Demis Hassabis, Konstantine Buhler, Dennis
Demis Hassabis founded DeepMind with the strategic intent of leveraging game development revenue to fund the pursuit of artificial general intelligence, a goal he predicts will be realized by 2030. Following a pivotal breakthrough with AlphaFold that solved the protein folding problem, the organization expanded into Isomorphic Labs to accelerate drug discovery and is now pioneering the application of AI for scientific simulation in fields like biology and economics. Hassabis maintains that classical neural networks are sufficient to model complex biological systems and views information as the fundamental building block of the universe, positioning AI as the ultimate tool for understanding reality.
- 44 min
What Founders Can Learn About Excellence From MIT President Sally Kornbluth
MIT President Sally Kornbluth defends the institution's rigid meritocratic standards, which exclude legacy admissions and resist federal pressure to ensure excellence scales without compromising integrity. Facing a high-stakes congressional hearing on campus antisemitism, she maintained a calm, factual posture that secured her survival while Harvard and UPenn leaders stepped down, attributing her resilience to a supportive board and swift crisis communication. Looking forward, Kornbluth rejects AI replacing human interaction, advocating instead for holistic education and an Oxbridge-style tutorial model to train students in critical thinking while strengthening ties to the local Boston-Cambridge tech ecosystem.
- 31 min
From SEO to Agent-Led Growth: Profound's James Cadwallader
James Cadwallader, Sonya Huang, Sonia
James outlines a fundamental market shift from deterministic search to probabilistic AI agent discovery, where "profound agents" now curate brand recommendations before humans ever engage with content. He warns that this transition threatens the traditional advertising economy by bypassing human page visits, necessitating a strategic pivot where companies feed proprietary data directly into models to secure visibility in a potential "dead internet." To survive this paradigm change, marketers must abandon legacy SEO tactics and instead optimize for agent legibility, original insight, and interoperability to ensure their offerings are cited by systems like ChatGPT and Gemini.
- 1h 4m
Jack Dorsey: Every Company Can Now Be a Mini-AGI
Jack Dorsey, Roelof Botha, Rula Fotha, Delaney, Brian
Block founder Jack Dorsey and Sequoia partner Rula Fotha discussed a radical restructuring of the company to eliminate traditional hierarchies in favor of an intelligence-first model driven by AI. This initiative involves flattening the organizational chart to two or three layers, redefining roles into builders, owners, and coaches, and replacing static roadmaps with a proactive system that anticipates customer needs. Supported by a recent reduction in workforce and a shift toward fluid leadership, the transformation aims to maximize decision speed and align the company's intelligence directly with customer outcomes.
- 1h 0m
Oura’s Tom Hale: What People Don’t Tell You About Being CEO
Aura CEO Tom Hale navigates the "messy middle" of scaling 200 to 2,000 employees by rejecting bureaucratic layers and enforcing a hybrid work culture that balances American capitalism with Finnish social traditions. His controversial pivot from hardware sales to a $6 monthly subscription generated industry-leading retention by prioritizing continuous value delivery while strategically leveraging partnerships with Gucci to reposition the ring as a fashion accessory. Hale emphasizes that effective leadership requires operating across all functions to build empathy, maintaining a 90/10 missionary-to-mercenary ratio, and shielding the organization from the "Dilbert effect" by promoting internal candidates with a path to the C-suite.
- 58 min
How Autonomous Labs Will Transform Scientific Research: Ginkgo Bioworks’ Jason Kelly
Jason Kelly, Sonya Huang, Pat Grady, Anya
Ginkgo Bioworks is executing a strategic pivot from traditional biological design to AI-driven autonomous laboratories, partnering with OpenAI to demonstrate that reasoning models can conduct high-volume experiments with 40% greater efficiency than current state-of-the-art benchmarks. Founder Jason Kelly argues that this shift addresses critical inefficiencies in global science by replacing costly human overhead with 24/7 robotic operations, a move he views as a national security imperative to compete with China's rapidly scaling biotech sector. By transitioning to a cloud-based, usage-pricing model and leveraging specialized robotics over humanoids, the company aims to democratize access to experimental science while fundamentally altering the economics of drug discovery and industrial biotechnology.
- 44 min
Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
Philip Johnston, Sonya Huang, Pat Grady
StarCloud founder Philip Johnson is deploying a Low Earth Orbit constellation designed to host data centers that will eventually outpace terrestrial alternatives in cost and scale, aiming for 50% of new AI compute capacity to be space-based within a decade. Leveraging SpaceX Starship launches, the company plans to deliver 10-megawatt satellite clusters by 2028 that prioritize thermal management over radiation shielding to support high-density inference workloads for hyperscalers and government clients. This infrastructure model targets critical market gaps in edge computing and downlink bandwidth while positioning space-based hardware as a neutral, scalable alternative to traditional cloud providers.
- 1h 3m
The Most Founder Mode CEO Working Today Isn’t the Founder: Opendoor’s Kaz Nejatian
Kaz Nejatian executes a "refounding" of Opendoor by securing a private financing deal with his entire net worth, replacing the incumbent board to prioritize outcomes over processes, and adopting aggressive AI integration strategies that default all operations to automated tools. Distinguishing himself from traditional executives, he rejects short-term market distractions and quarterly metrics in favor of a binary time horizon, while restructuring compensation to align exclusively with long-term shareholder value through performance stock units. This approach marks a deliberate shift from "management mode" to "founder mode," leveraging his immigrant entrepreneur thesis to rebuild the company's core business on high-margin services rather than its original logistics model.
- 41 min
Physics Gets a Vote: Nominal Cofounders on Hardware Development in an AI World
Cameron McCord, Jason Hoch, Bryce Strauss, Alfred Lin, Sonya Huang
Nominal is positioning itself as a central platform for hardware engineering data, addressing industry-wide fragmentation by enabling defense primes and defense-focused startups to version control validation logic and integrate real-world sensor telemetry. The company leverages a "wedge" strategy focused on testing to deploy AI-driven verification agents and natural language analysis tools, thereby compressing development timelines in response to a sector-wide re-industrialization trend. By collaborating with DARPA on the CIPHER project, Nominal is establishing a "system of record" that creates a closed-loop environment where physical AI agents optimize test vectors, aiming to evolve hardware companies into "Physical AI" entities with superior design flexibility.
- 49 min
Ben Horowitz On What Makes a Great Founder
The discussion outlines that top-tier technology companies rely on aggressive honesty, rapid problem disclosure, and a tolerance for high-performing but abrasive talent to maintain culture and scale effectively. It emphasizes that successful founders must possess first-principles thinking and raw intelligence while avoiding the structural pitfalls of early-stage COO appointments or decision debt caused by excessive deference. Specific case studies of HubSpot and Okta illustrate the critical importance of rigorous sales leadership vetting and the strategic necessity of hiring experienced executives to manage complex enterprise functions without diluting founder vision.
- 1h 13m
Bayer’s Bill Anderson: Turning a 168 Year-Old Tanker Like a Speedboat
Bayer CEO Bill Anderson has accelerated organizational agility at the global pharmaceutical giant by reducing management layers from twelve to six and replacing rigid annual budgets with dynamic 90-day planning cycles. This transformation restructured the company's 100,000-person workforce to operate with a "missionary zeal," shifting 10-15% of employees annually based on performance to ensure resources align with current strategic needs rather than historical silos. By decoupling compensation from formal titles and prioritizing peer feedback over hierarchical command, Anderson's approach has successfully mitigated bureaucratic inertia while navigating patent cliffs and shareholder pressure.