Latest Interviews
Showing 1–14 of 14 transcripts.
Clear all filtersLumentum 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.
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.
Joby, Dirac & Allen Control: The Future of Air, AI Factories & Defense Tech
Molly O'Shea, Eric Allison, Filip Aronshtein, Steve Simoni
The Reindustrialize 2024 summit in Detroit highlighted strategic capital infusions and operational expansions by key players such as Joby Aviation, Dirac, and Allen Control Systems to address critical gaps in the American industrial base. Joby Aviation secured further funding and strategic partnerships to advance its FAA-certified eVTOL air taxi program, while Dirac deployed AI-driven software to automate manufacturing instructions and preserve tribal knowledge, and Allen Control Systems raised capital to scale its "Bullfrog" kinetic defense turret for drone warfare. Collectively, these developments reflect a broader industry urgency to reverse offshoring trends, reintegrate vertically controlled supply chains, and deploy domestic manufacturing solutions amidst evolving geopolitical and technological pressures.
The CEOs Behind America’s Next Frontier in Air & Sea Travel
Adam Goldstein, Billy Thalheimer, Mitch Lee, Molly O'Shea
Archer Aviation secures a $100 million investment to manufacture the Midnight eVTOL for the 2028 Los Angeles Olympics, while Regent Defense expands into maritime logistics with Sea Gliders that deliver rapid, low-detection resupply for the U.S. Marine Corps. ARC Boats accelerates the transition to electric watercraft through proprietary battery integration and software-driven automation, achieving zero-to-customer delivery in 24 months with a similar $100 million funding round. These three ventures collectively address critical gaps in urban air mobility, contested maritime supply chains, and sustainable recreational marine transport.
Nuclear Race to Power Superintelligence
Isaiah Taylor, JC Btaiche, Packy McCormick, Molly O'Shea
Jensen Huang identifies affordable power capacity as the primary bottleneck for AI scaling, while Isaiah Taylor of Valor Atomics and JC of Fuse outline US strategies to close the nuclear deployment gap with China through modular fission and high-power fusion technologies. These companies are leveraging new Department of Energy testing authorities to accelerate reactor safety validation, aiming to mass-produce clean energy that could comprise 75% of the global mix by 2050. Concurrently, the discussion highlights how physical hardware manufacturers can differentiate themselves from AI-generated content by leveraging unique operational narratives to secure brand identity in an increasingly automated market.
Why a16z Bet $15 Million on THIS Controversial Startup
Bryan Kim, Roy Lee, Molly O'Shea
Brian Kim secured a $15 million investment in Cluely by leveraging a "momentum as a moat" strategy that prioritizes velocity and personal rapport over traditional fundraising pitches. His investment thesis for the AI era emphasizes rapid scaling and efficiency, as evidenced by his high-velocity deals with 11 Labs and Function Health while navigating regulatory headwinds regarding deepfakes. Kim argues that the current technology landscape requires building "in the plane as it falls," with companies achieving profitability through smaller teams and massive growth trajectories.