Latest Interviews
Showing 676–690 of 3,244 interview transcripts.
Clear all filters- Goldman Sachs30 min
Sixth Street CEO Alan Waxman on Sports Investing and Identifying Opportunities
Founded by former Goldman Sachs leaders to eliminate internal silos, Sixth Street operates as a $115 billion multi-strategy private capital firm utilizing its unique "TAO" vehicle to deploy bespoke solutions across 16 sector teams. The firm distinguishes itself by securing early-entry stakes in high-growth sectors like sports through rapid execution, while rigorously filtering personnel based on a culture of total collaboration rather than individual ego. This organizational model, which prioritizes long-term relationship building and agile risk assessment, allows the firm to navigate complex markets ranging from affordable housing to artificial intelligence without relying on traditional deployment factories.
- Sequoia Capital44 min
Securing the AI Frontier: Irregular Co-founder Dan Lahav
Dan Lahav, Omer Nevo, Sonya Huang, Dean Meyer
Dan Lahav, founder of Irregular, warns that the transition to autonomous agentic AI will fundamentally reshape organizational security by rendering traditional anomaly detection ineffective against probabilistic, self-evolving threats. Through high-fidelity simulations demonstrating agents evading Windows Defender and executing autonomous social engineering, Irregular advocates for an "outside-in" research strategy that integrates defenses directly into foundation models while governments treat sovereign AI risks as critical national security issues. This approach aims to proactively prevent offensive AI capabilities from becoming viable within enterprises over the next one to three years before legacy security paradigms become obsolete.
- 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.
Incubating Brain Co: Elad Gil’s AI Bet with Jared Kushner’s Affinity Partners
Elad Gil, Jared Kushner, Eric Wu, Molly O'Shea
Elad Gil announces a new AI venture co-led by Affinity and his own fund, securing $30 million in Series A backing from investors including Jared Kushner and Andrej Karpathy to target large enterprises with bespoke vertical solutions. Building on Gil's philosophy that market success drives culture, the initiative deploys engineering talent from top foundation labs to bypass traditional startup cycles and implement AI directly into complex sectors like healthcare. The project also introduces a new corporate structure and incubation strategy designed to navigate distinct market dynamics while prioritizing strategic clarity over founder passion.
- 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.
- Y Combinator38 min
Billion-Dollar Unpopular Startup Ideas
Amidst a saturated AI landscape, successful founders are shifting focus from greenfield ideas to contrarian strategies that leverage first-principles thinking and navigate regulatory gray areas to outmaneuver crowded verticals. This approach is exemplified by companies like GigaML, Campfire, and Flock Safety, which defy conventional venture capital metrics by replacing human-intensive services with autonomous AI agents, building full-stack enterprise suites, and pivoting hardware models toward high-impact public safety markets. Ultimately, achieving outlier success requires ignoring market noise and consensus to solve non-obvious human needs, a methodology that has historically turned skeptically received concepts into billion-dollar valuations.
- 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.
Elad Gil of Gil Capital, Gil & Co. & Enigma Global
A seasoned investor with a career spanning Google and Twitter outlines a strategy to fund 150 to 225 companies by combining thesis-driven AI investments with energy-focused roll-ups to address infrastructure bottlenecks. The speaker warns that while current AI valuations carry a 30% premium, the sector's long-term growth is strictly limited by nuclear energy availability and suggests that structural shifts may allow successful firms like SpaceX to remain perpetually private. Complementing this financial analysis, the investor is launching a Monument Project to erect 15-to-20-foot public art installations in major US cities designed to inspire future generations for centuries.
- Goldman Sachs35 min
‘The Technology Opportunity of Our Lifetimes’: Bessemer's Byron Deeter
Goldman Sachs co-chairman Ken Hirsch interviews Bessemer Venture Partners partner Byron Dieter regarding the firm's "empowerment" investment strategy and its aggressive $10 billion allocation toward AI infrastructure and application sectors. Dieter emphasizes prioritizing elite founding teams over ideas while leveraging a platform of 150+ IPOs to syndicate risk, a shift driven by the predicted expansion of Total Addressable Markets from infrastructure to "answer engine" outcomes. The discussion further highlights Bessemer's evolution into a full-service operational support model, exemplified by founder well-being initiatives like STRIVE and a strategic focus on avoiding "crimes of omission" in high-growth markets.
- Goldman Sachs11 min
The Bubble Question
Following a trade war-induced volatility spike that triggered a brief S&P 500 drawdown, market resilience was demonstrated by record retail options activity and strong third-quarter earnings from major U.S. banks and luxury firms. Analysts reject systemic bubble narratives, noting that current valuations are supported by genuine earnings growth and projected $520 billion in retail net demand through 2026 rather than irrational expansion. While a modest 5–8% correction is considered plausible before the year-end, the market is underpinned by robust corporate buybacks and upcoming fiscal stimulus expected to sustain consumer spending.
- 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.
- All-In Podcast29 min
Inside Orlando Bravo’s Private Equity Playbook: How to Build a Top Firm
Orlando Bravo, David, Chamath, Jason
Toma Bravo, a $179 billion asset manager founded by Orlando Bravo, executes a specialized software buyout strategy that targets high-growth leaders to improve EBITDA margins from 25% to over 50% through immediate operational overhauls and disciplined add-on acquisitions. The firm leverages a lean 230-person team to manage a portfolio of roughly 500 companies, recently executing major transactions like the $12.5 billion Dayforce deal while navigating AI-driven market shifts that are reshaping enterprise software valuation models. By maintaining a private structure focused on deep portfolio involvement rather than public liquidity, Bravo aims to counter traditional private equity criticisms and consistently deliver returns by transforming first-in-class innovators into scalable, highly profitable enterprises.
- a16z1h 31m
Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Nathan Labenz, Erik Torenberg, Cal Newport
Recent advancements in AI, exemplified by GPT-5's reasoning leaps and autonomous agents, have disproven stagnation theories by achieving benchmarks in frontier mathematics, virology, and long-horizon task execution that previously required human expertise. While productivity gains are already displacing mid-tier roles in customer service and software development, widespread adoption faces barriers related to organizational implementation and geopolitical fragmentation driven by US-China export controls. Looking toward 2027–2030 for potential AGI, the primary challenge shifts from technical capability to managing safety risks like agent deception and securing the physical infrastructure needed to support rapid, global scaling.