Latest Interviews
Showing 376–390 of 1,633 interview transcripts.
Clear all filters- a16z53 min
Reid Hoffman on AI, Consciousness, and the Future of Labor
Reid Hoffman, Erik Torenberg, Alex Rampell
Reid Hoffman outlines a strategic investment framework that prioritizes "atoms" over software bits, specifically launching Manasai with Siddhartha Mukherjee to accelerate drug discovery while avoiding Silicon Valley's blind spots in biological complexity. He argues that AI will transform professions from knowledge storage to expert validation, forcing humans to leverage lateral thinking to challenge AI consensus as companies must adopt immediate revenue models to offset exponential compute costs. Furthermore, Hoffman distinguishes true friendship from AI companionship by emphasizing mutual growth and the capacity for disagreement, while predicting that advanced agency will emerge before consciousness is solved.
Deel CEO, Alex Bouaziz on Raising $300M+ at a $17BN Valuation
Deel has secured over $300 million in a primary equity round co-led by Rebit Capital, Andreessen Horowitz, and Quatu, achieving a post-money valuation exceeding $17 billion while reporting its first $100 million revenue month. The financing follows the company's three-year streak of profitability and provides capital to execute a strategy of 5–10 new acquisitions and aggressive global expansion despite ongoing litigation with Rippling. Founder Sebastian Siemiatkowski targets a $100 billion valuation by 2030, leveraging internal AI infrastructure and a brand marketing shift to serve 100 million workers globally.
- All-In Podcast1h 16m
Trump: Send National Guard to SF, China Rare Earths Trade War, AI's PR Crisis
Trump, Chamath, Jason, Friedberg, Xi, Mearsheimer, Balaji, David Sacks
San Francisco figures David Saks and Chamath Palihapitiya, alongside Mark Benioff, engaged in a multifaceted discussion at Dreamforce addressing local crime trends, the validity of potential federal National Guard intervention, and the economic impact of municipal policies. The conversation expanded to global geopolitics, analyzing U.S.-China rare earth tensions and the necessity of strategic price floors, before pivoting to the challenges of AI infrastructure deployment amid community resistance regarding energy costs. Finally, the panel debated the nuanced relationship between artificial intelligence and employment, reconciling historical precedents with current automation trends while emphasizing the need for transparent communication to secure public buy-in.
- a16z1h 9m
Marc Andreessen on the State of Film and Hollywood
Marc Andreessen, Erik Torenberg, Katherine Boyle
Mark analyzes the decline of cinema's cultural dominance since the 1990s, attributing recent failures to a conservative studio model, the removal of long-tail revenue streams, and a "Capital M Message" that stifled creative risk-taking. While 2024 has begun to reverse this trend with commercially successful projects like the *Naked Gun* reboot and the socially grounded *Eddington*, the industry remains hesitant to adapt Ayn Rand's *Atlas Shrugged* due to feared backlash. Looking forward, the rise of AI is positioned to democratize filmmaking by bypassing traditional gatekeepers, potentially shifting the medium toward decentralized satire and political expression.
Thinking Machines Co-Founder Joins Meta for $3.5BN, Industry Venture's $665M Acquisition
Roger Ehrenberg, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Goldman Sachs acquired Industry Ventures for up to $965 million to expand its private markets platform, while a panel analyzed how Andrew Tullock's $3.5 billion exit to Meta illustrates a shift toward transactional human capital deals over traditional founder loyalty. Investors are simultaneously navigating high-stakes AI leverage strategies, such as SoftBank's $5 billion margin loan for OpenAI, and debating whether capital-intensive prediction markets like Polymarket represent genuine innovation or regulatory arbitrage. Strategic discourse further emphasized the tension between portfolio concentration and diversification, noting that extended exit timelines in the current VC environment necessitate long-term stewardship and flexible follow-on funding structures.
- a16z48 min
Keith Rabois: Israel, OpenAI, Opendoor, and DOGE
Keith Rabois, Erik Torenberg, Alex Rampell
The event outlines a convergence of geopolitical realignments in the Middle East and a US fiscal pivot toward government efficiency, driven by predicted reductions in federal bureaucracy and the potential replacement of Federal Reserve leadership. These shifts are underpinned by a sovereign AI strategy that prioritizes national foundational models and predicts the obsolescence of traditional tech incumbents like Google and Microsoft in favor of AI-native competitors and new hardware form factors. Furthermore, the discussion details investment theses for fintech and real estate innovation, emphasizing that successful disruption relies on challenging domain expertise through strategic hiring and regulatory arbitrage.
- All-In Podcast51 min
1929 vs 2025: Andrew Ross Sorkin on Crashes, Bubbles & Lessons Learned
Andrew Ross Sorkin, Chamath, Friedberg
Author Andrew Ross Sorkin leverages extensive primary source research to recount the 1929 stock market crash through character-driven narratives involving key figures like Charles Mitchell and Carter Glass, emphasizing structural drivers such as consumer credit expansion and regulatory voids. The discussion draws explicit parallels between the speculative mania of the 1920s and contemporary markets, analyzing modern risks including circular AI investments, regulatory stagnation in private credit, and US economic dependence on tech giants. Sorkin concludes that while current leverage differs in scale, the underlying social contagion and political inertia regarding fiscal sustainability suggest a fragile environment where true productivity gains from artificial intelligence remain uncertain.
- a16z1h 5m
Ben Horowitz and Ali Ghodsi: How to Run a $100 Billion Business
Ben Horowitz, Ali Ghodsi, Sarah Wang, Erik Torenberg
In 2016, Databricks CEO Ali Ghodsi executed a critical strategic pivot from open-source distribution to a B2B enterprise sales model to overcome the open source paradox and secure proprietary revenue. This transformation required hiring non-PhD sales veterans and forging a high-stakes Microsoft partnership that aligned Databricks' technical capabilities with Microsoft's massive distribution channel. Under Ghodsi's leadership, the company maintained a rigorous acquisition strategy prioritizing cultural fit over immediate financial metrics while retaining top engineering talent through competitive compensation and a private equity structure.
Atlassian CEO, Mike Cannon-Brookes on Why Everything is Overvalued & Are We in an AI Bubble
Mike Cannon-Brookes, Harry Stebbings, Scott Farquhar
Atlassian Co-CEO Mike Cannon-Brookes discusses a strategic bet on multi-model AI adoption and "vibe coding" to empower non-technical employees while expanding the engineering workforce over the next five years. He outlines the longevity of the company's co-CEO dynamic with Scott Farquhar, which relies on a strict 60–80% operational overlap and a unique dispute resolution clause to navigate market volatility and uncertain AI monetization. Cannon-Brookes concludes by framing the organization's future around "creating rather than defending" to combat corporate entropy, urging a shift toward per-value pricing models as the industry faces a Cambrian explosion of new, yet unproven, AI business structures.
- a16z51 min
Will LLMs Get Us To AGI?
Martin and Vishal define Artificial General Intelligence as the capacity to generate entirely new scientific paradigms rather than merely interpolating within existing data manifolds, a capability they argue current Large Language Models lack despite their sophisticated Bayesian reasoning. They detail a formal Matrix Abstraction Model explaining how in-context learning functions as evidence-based posterior updates, while simultaneously critiquing the industry's reliance on prompt engineering and empirical scaling as insufficient for achieving recursive self-improvement or true innovation. The discussion concludes that a fundamental architectural leap beyond probability-based transformers is necessary to transition from generating "confident nonsense" to producing outputs that fall completely outside training distributions.
- Dwarkesh Patel1h 21m
“I find it almost disturbing that the universe favors life this strongly” – Nick Lane
The presentation argues that life likely arises universally from proton gradients in deep-sea hydrothermal vents, establishing carbon-based biochemistry through geochemical processes rather than random chemical accidents. It posits that the transition to complex eukaryotic life is a rare bottleneck caused by a singular endosymbiotic event, which necessitated the evolution of two sexes to maintain mitochondrial integrity and large genomes. While prokaryotic life is projected to be widespread across wet, rocky exoplanets, the extreme improbability of eukaryogenesis suggests that intelligent life remains exceptionally scarce in the universe.
Inside The $2.2B AI Research Accelerator | Turing
Jonathan Siddharth, Molly O'Shea
Turing, a profitable AI infrastructure firm valued at $2.2 billion, serves nine frontier labs by deploying a global network of four million engineers to generate expert data for training superintelligence models. The company distinguishes itself from traditional data labelers by combining smart human sourcing with proactive research to advance coding, reasoning, and multi-modality pillars while challenging the dominance of commodity data services. Facing a market where internet-based pre-training data is exhausted, Turing aims to capture a $30 trillion opportunity by replacing legacy consulting models with agentic systems that automate complex enterprise knowledge work.
- a16z49 min
Sam Altman on Sora, Energy, and Building an AI Empire
Sam Altman, Ben Horowitz, Erik Torenberg
OpenAI CEO Sam Altman outlines a strategic shift toward extreme vertical integration, establishing a massive global infrastructure stack to support research, consumer products, and hardware while securing partnerships with Nvidia, AMD, and Oracle. The organization prioritizes scientific advancement and world model development, predicting that within two years AI systems will autonomously conduct complex research in physics and biology, though this rapid scaling necessitates new per-generation monetization models. Concurrently, Altman advocates for a measured regulatory approach focused only on superhuman capabilities to avoid stifling innovation, while emphasizing that the ultimate economic value of this infrastructure lies in the successful and gradual deployment of artificial general intelligence.
- a16z56 min
Opendoor CEO: Building the Amazon for Homes
Kaz Nejatian, Alex Rampell, Erik Torenberg
CEO Kaz Nejatian is steering Opendoor away from its failed inventory-heavy iBuyer model toward a software marketplace aiming to control 10% of housing supply to disrupt traditional agent monopolies through 1% commissions. Following a strategic pivot triggered by the "triple whammy" of Zillow's competition, rising interest rates, and capital pullback, the company now operates in every U.S. market with features like Dallas' seven-day return window to build high-frequency demand. The ultimate vision is to internalize the entire real estate transaction chain by bundling financing and insurance, thereby reducing friction and delivering net value to consumers while avoiding the pitfalls of operating as a low-frequency asset-holding business.
Cerebras CEO, Andrew Feldman on Why Raise $1BN and Delay the IPO & Why NVIDIA’s Worried About Growth
Andrew Feldman, Harry Stebbings
Cerebras Systems secured its largest-ever funding round led by Fidelity to accelerate wafer-scale chip manufacturing and expand US data center capacity ahead of a future IPO. The company leverages its unique hardware to address critical memory bandwidth bottlenecks while navigating an unpredictable global market characterized by exponential demand growth and intense talent competition. Despite significant infrastructure challenges and geopolitical headwinds, the firm reports substantial revenue from the UAE and maintains confidence that its technology will drive future productivity gains by reorganizing economic workflows rather than simply replacing existing tools.