Latest Interviews

AI won’t make coding obsolete. It will make it universal.

The speaker challenges the narrative that AI automation makes learning coding obsolete by citing historical precedents where easier tooling, such as the shift from punch cards to high-level languages, ultimately expanded the number of programmers. Arguing that accessibility drives adoption rather than replacement, the presentation advocates for cross-functional upskilling among leaders like CFOs and recruiters to enhance their specific job functions. This approach anticipates a future where broad coding literacy empowers everyone to code, resulting in significant productivity gains across all organizational roles.

The Brutal Truth About Ending The Ukraine War - David Sacks

David Sacks, Chamath, Jason, Friedberg, Nick, Jake

President Trump is credited with reestablishing U.S.-Russian diplomatic channels to negotiate a comprehensive peace agreement grounded in Ukraine's exclusion from NATO, acceptance of territorial realities, and recognition that a return to pre-war borders is unfeasible. This initiative challenges the current Ukrainian leadership and European allies to align with a shifting public mandate that has seen willingness to continue fighting drop from 70% to 24% over two years. While strategic pressure on global oil markets and increased arms sales bolster the United States' leverage, the summit's success remains contingent on the Ukrainian elite's willingness to compromise on territorial and security concessions.

The $10 Trillion AI Revolution: Why It’s Bigger Than the Industrial Revolution

Konstantine Buhler

Sequoia Capital frames the current AI landscape as a "cognitive revolution" poised to expand the $10 trillion U.S. services market by applying the "specialization imperative" to transform general-purpose infrastructure into specific high-value applications. The firm targets startups like Harvey, Factory, and Nominal that deliver tangible leverage in professional roles, while anticipating a shift in investment metrics toward real-world performance, reinforcement learning, and compute efficiency per knowledge worker. Looking 12 to 18 months ahead, Sequoia prioritizes breakthroughs in persistent memory, autonomous agent communication protocols, AI voice interfaces, and comprehensive security layers to accelerate the creation of large-scale public service companies.

Will Crichton: Rust for Everyone!

Will Crichton

Will Creighton's research at the Cognitive Engineering Lab applies human-centered design and formal cognitive theories to address fundamental learning and debugging barriers in Rust. By developing three core tools—Aquascope for visualizing ownership permissions, Argus for interactive trait solver trees, and Flow History for precise program slicing—the team achieved a 9-point score increase in learner assessments and a threefold speedup in error localization during user studies. Future efforts are now directed toward resolving async/await complexities and promoting extensible IDE frameworks like CodeMirror to further advance a scientific approach to programming language design.

Every Investor Needs To Understand This Concept - David Friedberg

David Friedberg, Chamath, Jason, Nick, Zach

Venture capital returns are driven by power-law distributions where a small fraction of outliers generate the vast majority of value, a reality illustrated by companies like Palantir and Facebook that added trillions in market cap years after going public. While top-tier funds can achieve 30% internal rates of return compared to 10% for median performers, successful investing requires identifying these specific winners rather than indexing the market, as broader exposure often leads to negative returns. The industry is simultaneously shifting toward hybrid private-equity models with continuation funds and strip sales to manage liquidity, yet maintaining consistent alpha remains exceptionally difficult as successful firms transition into fee-gathering asset aggregators.

Understanding OpenAI’s $500B Valuation

Apoorv Agrawal, Molly O'Shea

Altimeter Capital identifies OpenAI as the definitive leader in the consumer AI super cycle, citing its $10 billion revenue run rate, 700 million weekly active users, and strategic GPT-5 rollout as drivers for a projected $200 billion revenue potential. While the firm acknowledges intense competition from Meta's capital reserves and Anthropic's enterprise dominance, it argues that OpenAI's unmatched speed of iteration and deep user retention create a formidable moat. The analysis further highlights Altimeter's parallel investments in AI-driven cybersecurity platforms like Expo and Palantir's forward-deployed engineering model, signaling a broader shift toward automated agent infrastructure and high-impact talent allocation as the primary bottlenecks of the era.

The Top 100 Most Used AI Apps in 2025

Olivia Moore, Justine Moore

a16z released its fifth Consumer AI Top 100 list, aggregating global usage data from SimilarWeb and Sensor Tower to reveal that Grok 4 and Google's Gemini now dominate the top web rankings alongside stable companionship apps. The ecosystem shows distinct market shifts where "vibe coding" platforms achieve exceptional revenue retention despite lacking mobile presence, while Chinese models like DeepSeek and Kling gain traction internationally through aggregator platforms. The report identifies 14 recurring "All-Stars" that succeed via workflow integration and notes a future trend toward specialized vertical tools and improved reliability in health and productivity sectors as foundation models mature.

Carbon Credits: Unlocking Climate Finance and Natural Capital Valuation | Global Conference 2025

Hiro Mizuno, Olivia Albrecht, Suzanne DiBianca, Peter Fernandez, Andrew Gilmour

A panel moderated by Hiro Mizuno and featuring Peter Fernandez, Olivia Albrecht, and Andrew Gilmore identifies the $1.5 billion voluntary carbon market as a critical bottleneck needing to expand to $1 trillion to achieve 2050 net zero targets through Article 6 frameworks and sovereign carbon securities. Speakers highlight that overcoming capital intensity requires shifting from a niche cottage industry to institutional-grade infrastructure via subsidized sovereign funding, AI-driven integrity tracking, and securitization strategies that treat carbon as a tradable asset rather than a commodity. Forward-looking projections suggest Singapore's recent government procurement marks a watershed moment, with the industry aiming for its first billion-dollar settled transaction within the year to establish standardized liquidity and price discovery.

How Scale AI is Pioneering the Future of Work

Joe Schmidt, Ben Scharfstein

Scale distinguishes itself in the enterprise AI market through a forward-deployed model that embeds engineers and product managers directly with clients to solve complex, non-standard problems involving data migration and legacy integration. This strategy prioritizes deep customization and the creation of proprietary data assets over rapid productization, effectively converting human domain knowledge into high-value AI agents for governments and Fortune 500 companies. By accepting lower initial margins to secure critical workflow access, the company aims to eventually productize reusable components while navigating a market shift from proof-of-concept pilots to active production deployment.

How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience)

Gustaf Alströmer, Max Junestrand, Mark Mandelmann, Martin Splitt

Founded in 2024 by Max Giunestrand, Legora is an AI-powered workspace for legal professionals that recently secured an $80 million Series B funding round led by Iconic and General Catalyst. The company differentiates itself through a "software + service" hybrid model and a data-centric architecture that ensures GDPR compliance by hosting all European client data within the EU. With a flat organizational structure that scaled from ten to 100 employees in less than a year, Legora is aggressively expanding its operations to hubs in New York, London, and Stockholm to support law firms in navigating the AI transition.

Building the Universal AI Automation Layer ft n8n CEO Jan Oberhauser

Jan Oberhauser, George Robson, Pat Grady, Henry Suryawirawan

Following a strategic pivot to an orchestration layer for AI agents, N8N achieved a fourfold revenue increase in eight months by shifting from lead-generation tactics to a community-driven adoption model. Led by founder Jan Oberhauser, the company expanded its US operations and redefined its role as a "Excel of AI," supporting a diverse technology stack that allows users to build and manage agents without locking into specific models. This approach positions N8N to capture the market from the bottom up, targeting non-technical builders while anticipating a future acceleration in foundation model innovation driven by capital influx and enterprise demand.

Navigating Global Markets: Opportunities, Risks, and Strategies | Global Conference 2025

Sonali Basak, Joshua Friedman, Andrew Junkin, Megan Neuburger, Michael Rees

Blue Owl Capital is transitioning its asset management strategy to target the industry's top 250 firms by shifting from pure investment execution to a holistic model that productizes offerings for diverse global investors while maintaining a bias toward non-manufacturing entities. Concurrently, the private credit market is adapting to deteriorating deal terms and regulatory shifts by serving as an escape valve for investment-grade issuers, particularly within the AI cycle, though investors remain cautious regarding tariff-induced inflation and elevated Treasury yields. Despite these headwinds, the firm emphasizes resilient direct lending and asset-backed finance opportunities that leverage regulatory constraints on traditional banks to generate sustainable, fee-driven cash flows.

Why Meta Just Froze AI Hiring & What It Really Means - David Sacks

David Sacks, Chamath, Jason, Friedberg, JCal

Amidst a broader corporate restructuring, Meta has reportedly frozen hiring and downsized its AI division following a period of aggressive expansion and failed billion-dollar acquisition attempts. While early market valuations for super-intelligent startups remain speculative, enterprise adoption trends now favor specialized vertical applications over generalized models due to the high failure rates of broad implementations in large corporations. Industry experts characterize this shift as a healthy correction where value creation is moving toward deterministic, task-specific systems rather than relying on unproven single foundation models.

Aaron Levie and Steven Sinofsky on the AI-Worker Future

Aaron Levie, Steven Sinofsky, Erik Torenberg, Martin Casado

Industry consensus is shifting from monolithic general AI toward autonomous, specialized agent ecosystems that execute parallel workflows with minimal human intervention. This architectural transition redefines professional roles from direct execution to agent orchestration while spurring a market boom for domain-specific startups capable of solving long-tail enterprise problems. Despite ongoing challenges regarding context retention and hallucination, the technology drives a structural evolution where success is measured by the efficiency of verification ratios rather than the elimination of human oversight.

The Fat Burning Expert: The REAL Reason You’re Not Losing Belly Fat (and How To Fix It Fast!)

Alan Aragon, Steven

Renowned nutritionist Alan Aragon outlines a evidence-based framework prioritizing total daily protein intake of 1.6 to 2.2 grams per kilogram as the primary driver for muscle growth, while dismissing meal timing and extreme fasting as negligible factors compared to consistent caloric deficits. The presentation details metabolic adaptation strategies, noting that rapid weight loss often triggers a 200–300 calorie drop in non-exercise activity thermogenesis, and addresses specific physiological challenges like PCOS and menopause through hormone-driven, symptom-focused interventions rather than rigid dietary dogmas. Furthermore, Aragon emphasizes the critical role of psychological prioritization, creatine supplementation, and sustainable lifestyle adjustments to prevent the "collateral fattening" that frequently occurs during aggressive dieting cycles.