Latest Interviews
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Clear all filtersThe Wildest Hot Takes From the All-In Summit 2026
Elon Musk, Jensen Huang, Satya Nadella, Gwynne Shotwell, Jared Isaacman, Brad Gerstner, Bill Gurley, Dina Powell McCormick, Jake Paul, Nick Shirley, Blake Scholl, Martin Shkreli, Chamath Palihapitiya, Jason Calacanis, David Sacks, David Friedberg, Naveen Rao, Jonathan Neman, Toby Rice, Wen Sang, Geoff Woo, Kent Draper, Michael Brandt, Molly
Industry leaders including Jensen Huang, Elon Musk, and Naveen Rao reached a pragmatic consensus on AI governance that prioritizes independent peer review and hardware efficiency over existential risk narratives or development halts. The dialogue highlighted a critical pivot toward solving energy constraints through massive infrastructure expansion and ultra-efficient computing to prevent a "SaaS apocalypse" while democratizing access via no-code agents. Concurrently, the speakers addressed broader economic and societal implications, warning that political interference in energy markets and outdated regulatory frameworks pose immediate threats to both AI scaling and public infrastructure projects.
Brad Gerstner "$4 trillion of wealth transfer to kids who would've otherwise had zero"
Brad Gerstner, Michael Dell, Molly, Elon, Dario, Jensen, David Harris
Invest America, a not-for-profit initiative backed by Michael Dell and Frank Bisignano, aims to automatically open investment accounts for all US citizens under 18 to facilitate a projected $4 trillion wealth transfer. Founder Brad Gerstner targets 70 million accounts within 30 days by integrating the program with existing 401(k) infrastructure and leveraging bipartisan political support to bypass previous legislative hurdles. The summit also featured a strategic consensus on AI safety where industry leaders and policymakers agreed that labs must lead self-regulation while incorporating independent peer review to manage emerging technological risks.
The $100 Heart Scan Brad Gerstner Says Could Save Your Life
Brad Gerstner, Jason Chang, Rob Goldberg, Dave Goldberg, Sheryl Sandberg, Adam Grant, Molly
Brad Gerstner and Rob Goldberg launched a mobile calcium CT scanner at the All In Summit to scale screening from 800,000 annual heart disease deaths to 40 million preventative scans, aiming to transform the Calcium Score into a "mammogram for the heart." Driven by Goldberg's personal loss of his brother to undiagnosed disease, the initiative targets a $20 billion cost reduction by advocating for Medicare and Medicaid mandates to bypass the current "stent lobby" barrier. The trailer unit demonstrated immediate efficacy by processing 33 scans in nine hours, while the organization plans to expand access through corporate sponsorships and push for legislative changes that reclassify calcium scoring as a standard of care.
Lumentum CEO: How Lasers Are Transforming AI Data Centers
Michael Hurlston, Tony Kim, Molly O'Shea
Under CEO Michael Hurlston, Lumentum has transformed from a diversified manufacturer into a pure-play data center optical leader, tripling revenue and driving its stock price up to 12-fold by capitalizing on the industry's rapid shift from copper to fiber connectivity. This transition, necessitated by the physical limitations of copper in high-speed environments, is straining the specialized Indium Phosphide supply chain due to long lead times for dedicated fabrication facilities. Facing tens of millions in new hyperscaler orders, the company is simultaneously expanding into space-based internet infrastructure and navigating geopolitical dynamics that favor U.S. domestic suppliers over Chinese competitors.
BlackRock's Tony Kim on AI's Next Winners? Chips, Memory, Robotics & Quantum
Kim outlines a fundamental shift in the global technology sector where a $30 trillion hardware-centric economy is driven by a 10,000x increase in compute density and severe memory shortages known as the "Rampocalypse." Leading institutions are responding through silicon co-design and gigawatt-scale energy infrastructure while BlackRock allocates capital toward immediate compute needs and long-term bets on quantum and orbital data centers. The narrative concludes with strategic observations on China's robotics acceleration and the restructuring of traditional enterprises into AI-native entities through proprietary token flow architectures.
Hyperscalers Are Out of Capacity? | MongoDB CEO
Driven by hyperscaler capacity shortages and stringent data sovereignty requirements, major enterprises are migrating workloads back on-premises while adopting heterogeneous AI architectures to manage complex agentic environments. CEO CJ Desai leads MongoDB's strategic response by prioritizing real-time, operational database solutions for AI-native startups and Fortune 500 clients, shifting from traditional model selection to a focus on deterministic outcomes and autonomous administration. This approach positions the company to capitalize on the "AI super cycle" by ensuring the high-quality data layer required to transition experimental prototypes into scalable, production-grade applications in sectors like banking and aviation.
SemiAnalysis, Altimeter, Nebius, Glean.. 12 Hot Takes From Biggest Names in AI
Dylan Patel, Qasar Younis, Apoorv Agrawal, Arvind Jain, Ariel Cohen, CJ Desai, Gil Feig, Nikhil Benesch, Barak Kaufman, Max Junestrand, Marc Boroditsky, Laura Diorio, Kasser, Mark
RAISE Paris marked a decisive industry shift from speculative hype to enterprise-grade cost reconciliation, as buyers now demand clear ROI and physical AI adoption outpaces volatile large language model growth. Key figures including Applied Intuition's Kasser and analysts from Altimeter Research warned of an impending market bust driven by unsustainable spending, while companies like Navan and TurboPuffer demonstrated new economic models focused on profitability and reduced inference costs. The event concluded with a consensus that success requires resilient multi-model strategies, robust data layers, and a global expansion mindset to navigate rising hardware prices and geopolitical energy constraints.
AMD, Starcloud, Coatue..10 Hot Takes From The Biggest Names in AI
Max Cook, Matan Grinberg, Pim de Witte, Philip Johnston, Mark Papermaster, Rodrigo Liang, Ramin Hasani, Robin Rombach, Chris Madden, Henri Delahaye, Molly, Philippe, Thomas
At the RAISE Summit, industry leaders like Max Cook and Matan outlined a decisive shift toward agentic AI ecosystems that replace traditional interfaces with natural language and naturalize the routing between frontier and open-source models based on latency and cost. Concurrently, hardware giants such as SambaNova and StarCloud announced billion-dollar investments and space-based compute strategies to overcome power constraints and enable efficient inference on edge devices. This convergence of sovereign AI initiatives, supply chain scaling, and automated software engineering marks a global transition where enterprises treat AI as a deployed product rather than a research tool.
Andrew Feldman on Building a Chip 58x Larger Than Nvidia's
Cerebrus has secured a landmark partnership with OpenAI valued at over $20 billion to address the severe shortage of AI infrastructure caused by data center construction lagging behind compute demand. The company employs a co-design strategy to overhaul traditional power and cooling architectures while urging industry participants to diversify chip suppliers to avoid single-vendor lock-in. This surge in hardware innovation, marked by Cerebrus's recent IPO creating 1,000 millionaires, is expected to drive breakthroughs in cancer research, autonomous safety, and personalized education within the next quarter-century.
Dylan Field on the “Permanent Underclass of Zero Taste”
At Config 2024, Figma CEO Dylan Field addressed a global audience of 10,000 designers and engineers to refute narratives that AI renders design obsolete, asserting instead that human intent and cultural context remain essential for scalable systems. The event highlighted Figma's strategic pivot toward unifying design and code interfaces while introducing tools like Figma Weave to ensure AI outputs align with specific brand voices rather than generic averages. By emphasizing "agent swarms" and data liquidity, the conference outlined a roadmap where platforms empower users to build bespoke tools, shifting market focus from job displacement fears to enhanced offensive productivity capabilities.
Figure's First Full HQ Tour: From the Lab to the Factory Floor
Brett Adcock, Molly O'Shea, Moritz
Figure AI is a Bay Area-based pure-play manufacturer with a 500-person engineering workforce deploying its flagship Figure 3 humanoid robot, which operates autonomously using the locally running Helix AI policy. The company has achieved record production output at its "Baku" facility while reducing unit costs by 90% compared to previous models, enabling deployments in settings ranging from the White House to BMW automotive assembly lines. Looking ahead, Figure aims to commercialize a lease-based home model and advance toward its "iPhone moment" with the upcoming Figure 4, which targets radical improvements in cost and usability while pursuing physical interaction-based AGI.
A Rare Look Inside Applied Intuition’s Physical AI Garage
Qasar Younis, Peter Ludwig, Molly O'Shea
Applied Intelligence deploys a unified end-to-end AI platform across six industrial sectors, serving 18 of the top 20 global automakers and the U.S. military with solutions for autonomous mining, trucking, and maritime operations. Led by CEO Peter Ruch, the company modernizes legacy infrastructure by consolidating disparate electronics into single compute units, leveraging dual-use hardware to address acute labor shortages and safety crises in defense and heavy industry. Operating from 18 global sites while excluding China due to IP concerns, Applied Intelligence is currently commercializing Gen 2 autonomous trucks in Japan and expanding its "Physical AI" footprint into the Middle East and Latin America.
Thomas Laffont, Coatue - Anthropic, Citrini Paper, AI Volatility & Next Mag 7
Thomas Lafont and the Kotu firm, managing over $100 billion in assets, predict that private AI giants like OpenAI and Anthropic will dominate the next major market indices as SaaS valuations face re-rating pressures from decelerating growth. While anticipating significant IPOs within 24 months and a shift toward "Big Fucking Ideas" that expand total addressable markets, Lafont argues that AI will enhance engineering productivity rather than reduce headcount, following a historical model of market expansion similar to the introduction of ATMs. The firm actively applies these insights by integrating coding-first AI tools into their due diligence while advocating for democratized access to private equity to capture the exponential growth of early adopters like Clock Code.
Inside the $4.5B Startup Building Brain-Inspired Chips for AI
Peter Barrett, Naveen Rao, Konstantine Buhler, Molly O'Shea
Founded by deep tech veteran Naveen Rao and backed by Playground principal Konstantin Buehler, Unconventional AI is raising funds to build a full-stack analog computing platform that leverages silicon's non-linear physics to overcome the energy inefficiencies of current digital systems. The company seeks to automate over 99% of cognitive labor by replacing energy-intensive megawatt-scale data centers with 20-watt biologically inspired architectures, aiming to reach product escape velocity with a projected capital requirement of $1.5 billion. This venture differentiates itself by embracing the stochastic nature of intelligence rather than suppressing it, challenging traditional von Neumann limitations through recurrent dynamical systems that promise computational productivity gains of up to 1,000 times.
Data Centers in Space? Armada’s CEO on SpaceX and the Edge
Armada, funded by over $200 million, deploys modular AI factories to bring hyperscale computing to remote and hostile environments, effectively bridging the digital divide in regions lacking traditional infrastructure. Strategic alliances with key entities like SpaceX, OpenAI, and Microsoft enable the company to integrate edge connectivity and proprietary models into diverse sectors ranging from military operations on aircraft carriers to disaster response in the Arctic and Saudi desert. By prioritizing rapid deployment of American-led AI stacks, Armada aims to secure global data sovereignty and expand its footprint into critical industries such as energy and defense through 2026.