Latest Interviews
Showing 91–105 of 211 interview transcripts.
Clear all filters- a16z37 min
How Waymo Is Using GenAI to Build a Better Driver
Dmitri Dolgov, David George, Sarah Wang
Dimitri Dolgov traces the evolution of autonomous driving from the 2007 DARPA Urban Challenge to Waymo's current deployment of generalizable AI across four major US cities. By combining foundational machine learning breakthroughs like Transformers with massive synthetic simulation, Waymo has demonstrated a 76% reduction in property damage and operates 24/7 in diverse weather conditions. The company now focuses on scaling complex urban logistics while maintaining a hybrid market strategy that partners with Uber and prioritizes rigorous safety validation over short-term commercial shortcuts.
- a16z31 min
AI in Pharmaceutical R&D with Kim Branson
Kim Branson, GSK's Global Head of AI/ML, is driving a strategic initiative that creates a "sheltered bubble" to rapidly build AI capabilities before integrating them into the company's broader drug discovery workflow. His team currently leverages active learning loops and computational pathology to accelerate target identification and clinical trial optimization, achieving twentyfold reductions in screen times and enabling precise patient stratification. Branson emphasizes that the industry's primary bottleneck is access to longitudinal data with outcomes, positioning GSK to transition from simple algorithmic efficiency to a data-driven "juggernaut" defined by proprietary datasets and mechanistic biological integration.
- a16z24 min
Mark Casey (Capital Group): Public Market and Macro Perspectives
Capital's long-term value investing strategy employs a four-to-eight-year horizon and a compensation structure weighted toward multi-year results to prioritize earnings convergence over short-term market noise. The firm actively manages portfolio construction by identifying unstoppable secular trends like cloud computing and e-commerce while criticizing deceptive metrics such as adjusted EBITDA in favor of free cash flow per share. Additionally, the approach emphasizes superior capital allocation by citing industry leaders like Warren Buffett and Hock Tan, while maintaining bullish positions on high-moat fintech and semiconductors tied to the AI revolution.
- a16z38 min
Grand Challenges in Healthcare AI with Vijay Pande and Julie Yoo
Amidst a healthcare labor crisis and provider burnout, AI adoption is accelerating through administrative efficiencies in revenue cycle management and the digitization of complex payer-provider contracts. Strategic startups are targeting near-term opportunities by embedding natural language interfaces into existing Electronic Health Records, automating prior authorization, and restructuring clinical trials through real-world data analysis. While full-stack AI clinicians remain a distant goal, the immediate landscape prioritizes behavioral change strategies, unbundled care roles, and value-based care alignment to optimize patient outcomes and reduce systemic waste.
- a16z26 min
7 Ways to Boost Retention (Both Pre- and Post-AI)
Experts identify seven distinct, cost-efficient retention methodologies that can elevate Day 30 retention rates from a standard 20% to an exceptional 35%. These mechanisms range from accelerating speed-to-value and implementing feature-gated onboarding to leveraging smart notifications, maintaining user streaks, and utilizing AI-driven personalization. By adopting strategies like designing reciprocity and granting status to power users, companies can transform user acquisition costs into sustainable growth while avoiding the "bird forest" pitfall of exhaustible demand.
- a16z32 min
Jeff Sloan (Global Payments): Placing Multiple Bets on ‘Mosaic of Solutions’
Between 2013 and 2023, CEO Jeff Sloan transformed Global Payments from a legacy infrastructure firm into a $32 billion market capitalization cloud SaaS leader by executing a $21 billion merger with T-Systems and pivoting toward a software-first distribution model. This strategic evolution involved expanding technology spending from $300 million to over $2 billion annually to integrate payments with mission-critical verticals while correcting the post-Brexit investment misstep through a disciplined long-term governance framework. Looking forward, the organization leverages this scaled infrastructure to target the $125 trillion B2B sector and deploy generative AI for fraud prevention, aiming to replicate its consumer success in the undigitized half of the global market.
- a16z30 min
Marco Argenti (Goldman Sachs): Turning Developers into Clients
Marco Argenti, a veteran engineer whose career spans four major technology shifts, now leads Goldman Sachs' engineering strategy by treating internal developers as primary customers to drive a culture of rapid, standardized innovation. Leveraging a "look outside first" approach and a selective AI pilot program, the firm has achieved productivity gains of up to 40% while preparing to expand generative tools to knowledge workers across its financial services division. Argenti predicts that within a decade, this hybrid AI architecture will transform the industry into a real-time business where speed of pricing and decision-making becomes the defining competitive advantage.
- a16z37 min
Marty Chavez (Sixth Street): Finding a Single Source of AI Truth
Marty Chavez, a former Goldman Sachs executive and current partner at Sixth Street Partners, traces the evolution of computational simulation from his foundational work on the SECDB system that navigated the 2008 financial crisis to his current advocacy for AI boundaries in finance and biotech. Drawing on decades of experience modeling complex systems for everything from currency trading to protein folding, he argues that future AI regulation should focus on physical interface constraints rather than internal algorithmic logic while emphasizing the critical need for clean data to avoid generative hallucinations. Chavez further notes that while current AI adoption in the Fortune 100 is driven by productivity demands, its transformative potential in life sciences depends on successfully bridging the gap between vast theoretical chemical spaces and the high costs of physical drug fabrication.
- a16z34 min
The Electric Grid, Explained
Amidst a critical transformer leak and record heat that threatens Texas's independent grid, the event details systemic vulnerabilities in the U.S. power infrastructure, including three-interconnection limits and severe supply chain bottlenecks that delay critical upgrades. Experts highlight an impending energy gap driven by data center expansion and electrification, which current storage and generation models struggle to balance without massive investment in long-duration solutions and nuclear technology. Consequently, policymakers face urgent decisions to modernize aging lines and reform interconnection queues to prevent reliability failures reminiscent of past blackouts or the South African energy crisis.
- a16z30 min
Bringing AI to the Masses with Adam D'Angelo, CEO of Quora
Adam D'Angelo, David George, Sarah Wang, Max Wiethe, Dan Morehead, Matt Rowe
Former Quora CEO Adam D'Angelo launched Poe as a multi-platform aggregator to navigate the shift from human-centric knowledge publishing to an instant, multi-model chat paradigm driven by generative AI. The platform differentiates itself by supporting diverse fine-tuned models and an open API that enables independent creators to deploy specialized tools while sharing revenue to offset high inference costs. D'Angelo anticipates a bifurcated market where Poe serves the downstream application layer of accessible AI, eventually evolving into a symbiotic network that complements Quora's human expertise with scalable automated agents.
- a16z31 min
America Needs More Techno-Optimism, with Marc Andreessen and Tyler Cowen
The event analyzes the divergent generational adoption of AI, noting that while Large Language Models compress skill gaps by elevating lower-skilled workers, regulatory fragmentation and the shift to managerial capitalism currently stifle US economic dynamism. Key figures highlight the necessity of centralized nuclear energy infrastructure to power AI deployment and advocate for a "bourgeois" entrepreneurial approach where specific use-case regulations replace broad technology bans to foster innovation. Ultimately, the discussion frames the future as a bipolar global competition between American R&D and Chinese deployment, requiring agile defense strategies and open-source scrutiny to maintain national security.
- a16z24 min
Why America Must Lead in AI Investment
Senator Todd Young, Martin Casado
Senators led by Chuck Schumer convened a series of closed-door AI Insight Forums with industry experts to gather candid input on national security, innovation, and the economic implications of artificial intelligence. The resulting bipartisan consensus advocates for a technology-agnostic regulatory framework and significant federal investment in basic research, drawing direct strategic parallels to the CHIPS and Science Act. Policymakers aim to balance immediate security concerns with a "light touch" approach that avoids stifling U.S. leadership while embedding AI expertise within the White House to guide future legislation.
- a16z21 min
The Next Generation of Leadership: A Conversation with Governor Wes Moore
Governor Wes Moore applies a data-driven philosophy rooted in his background as a former military recruit to address Maryland's critical challenges in military recruitment, criminal justice reform, and economic development. His administration has implemented historic initiatives including a national service program to counter enlistment drops, revised laws to assist those with criminal records, and targeted education reforms designed to improve literacy and vocational readiness. These policies have contributed to significant early successes, including an eight-year reversal in rising homicide rates and strategic investments positioning the state as a national cyber capital.
- a16z26 min
Sharks Never Stop Swimming: A Conversation with Mark Cuban
Mark Cuban and Dr. Alex Oshmayansky have leveraged Cost Plus Drugs to expose pharmaceutical opacity by publishing exact medication costs with a fixed 15% markup, ultimately attracting Harvard and Vanderbilt researchers to project $3.6 billion in potential government savings. The company expanded its model to B2B wholesale and advocates for healthcare CFOs to negotiate rates at 80–100% of Medicare prices, challenging the three major Pharmacy Benefit Managers that currently dominate the market through rebate retention and regulatory capture. Beyond healthcare, Cuban utilizes these insights to critique rising tuition costs and *Shark Tank* dynamics, calling for structural reforms that prioritize middle-American entrepreneurs and eliminate non-transparent corporate contracts.
- a16z39 min
Text to Video: The Next Leap in AI Generation
Anjney Midha, Andreas Blattmann, Robin Rombach
Released on November 21st, Stable Video Diffusion is a state-of-the-art open-source model that generates short video clips from single input images by prioritizing the learning of complex physical properties like 3D consistency and camera movement. The architecture employs diffusion methodology over autoregressive methods to optimize perceptual details and utilizes LoRA adapters for scalable control of camera motion, while training strategies focused on temporal dynamics and specific 3D orbit refinement to achieve surprising reasoning capabilities in as few as 2,000 iterations. This release continues the team's philosophy of driving innovation through algorithmic efficiency rather than sheer compute volume, having already catalyzed a rapid ecosystem of community experimentation and set a roadmap for longer sequences and future audio integration.