Latest Interviews
Showing 1–15 of 4,765 transcripts.
Clear all filters- All-In Podcast53 min
Jake Paul & The Chainsmokers: Turning Fame into Funds, Jake Enters Politics? & Venture Bubble Signs
Jake Paul, Chamath, Drew Taggart, Alex Pall, Nick, Jason, Friedberg
Jake Paul and The Chainsmokers discussed their strategic transitions from media icons to serious investors, highlighting Paul's plan to disrupt the boxing and venture capital industries while The Chainsmokers leverage their marketing expertise to build a deep-tech portfolio. Both parties emphasized a shift away from celebrity fluff toward operational rigor, with Paul targeting a billion-dollar exit through his PFL merger and an "anti-fund" model, while The Chainsmokers admitted past investment errors like missing Robinhood to justify their current focus on revenue-generating companies. The discussion concluded by predicting a future where social media-native leaders dominate politics and business, driven by a collective need to navigate an increasingly saturated digital economy.
IMEC Says Today’s AI Will Look Ancient in 10 Years
Steven Latré, Adam Chambers, Molly O’Shea
As the semiconductor industry confronts the physical limits of Moore's Law, a strategic pivot toward inventive hardware architectures and photonics is reshaping AI infrastructure to overcome critical bottlenecks in memory scarcity and thermal management. Leading research from entities like IMEC and market shifts driven by hyperscalers signal a transition from brute-force model scaling to specialized components that prioritize energy efficiency and data transfer speed. Consequently, the sector is undergoing a hardware-first renaissance where success depends on manufacturing capacity and the integration of copackaged optics rather than traditional parameter expansion.
The $500B Opportunity in Europe’s Defense Buildout
Aistis Šimaitis, George Hadjiminas, Bruno Wejchert
Driven by the Russia-Ukraine conflict's demand for mass production over high-tech prototyping, Onodrim Industries and FION are consolidating Europe's fragmented defense manufacturing base to address critical supply chain bottlenecks and scale capabilities for a projected trillion-dollar market. While companies like Helsing build the necessary AI intelligence layer, the sector faces the dual challenge of reducing component costs and overcoming years-long lead times for power and memory chips that currently hinder industrialization. Experts predict a symbiotic merger of technology and industrial firms will eventually spawn a €500 billion European defense giant, provided startups survive the risk of a funding bubble by proving their capacity for reliable, large-scale output.
- Goldman Sachs17 min
Daniel Nadler on Building an AI-Powered Search Engine for Medicine
Founded by Dr. Daniel Nadler, Open Evidence functions as an AI-powered "MRI of medical knowledge" that aligns physicians with current clinical standards by reducing the 17-year gap between research and practice to mere hours. Backed by Google and formalized partnerships with the New England Journal of Medicine and NCCN, the platform utilizes licensed, full-text data to eliminate information overload and hallucinations inherent in general large language models. This technology currently processes 1.5 million verified queries to standardize care across complex specialties like oncology, with a long-term strategic goal of eliminating medical error as a leading cause of death.
The $10T AI Buildout Has a Photonics Problem
Herwig Van Hove, Yannick De Koninck, Molly
Responding to the physical bandwidth limits of copper interconnects in AI clusters, Tima leverages a $4x market-scale investment to industrialize optical photonics through a turnkey European foundry located near IMEC. The company, founded by ex-NVIDIA executive Yannick Van Den Abbeele, targets a 2027 production ramp-up to address critical supply chain gaps while recruiting senior leadership from IMEC and TSMC to overcome manufacturing yield challenges. By establishing a sovereign European hub, Tima aims to transform the $10 trillion AI infrastructure market by solving the latent bottleneck where 50% of an AI factory's value resides in GPU interconnection technology.
- Stanford Online42 min
Stanford CS153 Frontier Systems | Teaching AI to Touch Atoms
Liam Ferriss, Dorje Chubak, Liam Fettis, Doge Chubbuck
Founded by Liam Fettis and Doge Chubbuck, Periodic Labs operates a 50-person facility in Menlo Park where former AI researchers and physicists utilize their "Anas" AI agent to autonomously synthesize and verify new materials. The company recently pivoted from a purely computational model to a hybrid approach that rapidly closes the feedback loop between machine learning predictions and physical experiments, specifically targeting high-temperature superconductors and semiconductor components. By automating the prediction, synthesis, and characterization pipeline, Periodic Labs aims to overcome critical industry bottlenecks in energy efficiency and computing hardware while advancing the broader engineering of atomic-scale matter.
- 80,000 Hours1h 29m
AI Overlords vs Power-hungry Humans: Which Should Scare You More?
Katja Grace, Tom Davidson, Zershaaneh Qureshi
Katya Grace and Tom Davidson debate whether misaligned artificial intelligence or concentrated human power poses the greater existential threat, with Grace prioritizing the risk of autonomous AI takeover and Davidson emphasizing the dangers of unchecked human authority. While they diverge on the likelihood and nature of these outcomes, both experts agree on immediate mitigation strategies, specifically advocating for a coordinated pause on rapid AI development to foster transparency and prevent a single entity from seizing absolute control. Their consensus highlights the necessity of international cooperation, particularly with China, to ensure that structural safeguards distribute power across multiple projects rather than concentrating it in one potentially unaccountable actor.
- a16z50 min
What Would Make an AI Assistant Worth Paying For?
The consumer AI agent market has rapidly expanded to over 120 agents, driven by intense user demand for administrative automation and cost-saving capabilities rather than pure efficiency gains. While current operational costs remain prohibitively high at approximately $20 per user daily, major players like Instinct and Muse are leveraging free pricing models to displace competitors while navigating platform conflicts with tech giants such as Amazon. Looking ahead, the sector is poised to shift from horizontal general assistants to specialized, high-value niche services, ultimately evolving toward a new infrastructure for autonomous agent-to-agent interactions that redefine consumer workflows.
How Deel Scaled From $100M to $1B+ ARR in 3 Years
Shuo Wang, Alex Bouaziz, Molly O'Shea
Founder Shuo and CEO Alex have scaled Deal, a global payroll and HR platform operating in 160 countries, to a $17.3 billion valuation and $1.5 billion in annual recurring revenue. The company distinguishes itself through a remote-first sales culture spanning 120 countries, the processing of 8 billion operational data points, and a strategic focus on serving major enterprises like Chanel and 11 Labs. Shuo emphasizes that founders must prioritize sales discipline and global scalability from day one, drawing inspiration from innovators like James Dyson and Jeff Bezos to drive the platform's rapid growth.
- All-In Podcast51 min
Daniel Ek: Life After Spotify, Broken Healthcare Incentives, Catching Disease Early & AI's Potential
Spotify co-founder Daniel Ek has transitioned from CEO to Executive Chairman while leveraging his capital and expertise to launch Neco, a preventative healthcare venture designed to detect chronic conditions through proprietary diagnostic equipment and multimodal data. Operating on a $499 unit price with demonstrated profitability in early US clinics, Neco utilizes AI to analyze thousands of biological markers and skin images to identify undiagnosed medical issues that traditional reactive systems often miss. Beyond healthcare, Ek continues to influence the technology sector by advocating for compute-based AI regulation and supporting open standards in podcasting distribution.
- a16z42 min
How Jev Turns AI Into Software That Gets Things Done
Jev, Ben Horowitz, Martin Casado, Diogo Almeida
TypeSafe founder Diogo Matos critiques current AI automation for prioritizing code generation over semantic intelligence, arguing that tools like GitHub Copilot fail to solve basic economic tasks despite high benchmark performance. To address this gap, his company introduces Jev, a new software primitive that embeds an intelligent layer directly into code to enable deterministic, intent-driven workflows rather than static output. Matos positions this shift as an "inverse SaaS apocalypse," predicting that pragmatic probabilistic programming will transform industries by automating complex background processes while rejecting the narrative of a singular, general superintelligence.
The Untold Story of Higgsfield | Burning $4M a Month on AI Models | CEO, Alex Mashrabov
Alex Mashrabov, Harry Stebbings
Hicksfield achieved $1 billion in annualized revenue within 18 months by pivoting from proprietary foundational models to a cost-efficient strategy leveraging open-weights models and advanced model routing. Operating with a globally distributed workforce of 400 primarily based in Central Asia, the company drives growth through AI-native distribution for consumer entertainment and B2B workflows, recording a 300% net revenue retention rate and operating margins exceeding 80% on open-source solutions. Founder Alex now aims to scale the organization to $10 billion in revenue over the next 12 months, positioning Hicksfield as critical infrastructure for AI-generated content while rejecting traditional management theories in favor of a high-impact, meritocratic culture.
The Secret Behind Wall Street’s Biggest Brands
Jen Prosek, Jennifer Prosek, Molly O'Shea
Prosek Partners, a global M&A communications leader that manages $70 trillion in assets, grew by betting on offensive brand building for private markets during the 2008 crisis and adapting to a landscape dominated by Large Language Model-driven reputation hygiene. The firm drives client outcomes by transforming narratives for major institutions like Apollo and Citadel through strategies that prioritize long-form audio, internal culture management, and distinctive storytelling to attract talent and improve deal sourcing. By treating digital presence as a critical asset where LLMs instantly define perception, Prosek helps financial firms navigate complex reputational challenges while avoiding the pitfalls of overexposure and negative employee leaks.
- The Diary Of A CEO2h 15m
Billionaire's WARNING: If You Grow Faster Than You Can Handle, You WILL Crash! | Adam Neumann
Adam Neumann recounts the trajectory of WeWork's 2019 IPO collapse, attributing the failure to his ego-driven shift from mission to valuation and the forced timing of a public listing following SoftBank's abandoned buyout. The narrative details Neumann's September 2019 resignation, the subsequent $460 million personal debt crisis resolved by SoftBank's intervention, and his pivot toward building Flow, a new venture designed to apply lessons on profitability and founder discipline. Ultimately, the event serves as a case study in the dangers of rapid scaling without operational readiness and emphasizes that true leadership is forged during periods of extreme difficulty.
The 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.