Latest Interviews
Showing 301–315 of 1,932 interview transcripts.
Clear all filters- a16z33 min
Building the Real-World Infrastructure for AI, with Google, Cisco & a16z
Raghu Raghuram, Amin Vahdat, Jeetu Patel
Driven by a build-out 100 times larger than the late 1990s internet boom, the current infrastructure surge is constrained by three-to-five-year power and supply bottlenecks that are shifting data center locations and necessitating "scale across" architectures. As the industry enters a "golden age of specialization" through efficiency-focused accelerators and coherent cluster-wide networking, distinct geopolitical strategies are emerging that favor power-optimized hardware over cutting-edge process nodes. This environment compels Cisco to advocate for silicon diversity and full-stack innovation while internal enterprises like Google leverage AI to achieve significant productivity gains in code migration and operational workflows.
- Sequoia Capital42 min
Nvidia CTO Michael Kagan: Scaling Beyond Moore's Law to Million-GPU Clusters
Michael Kagan, Sonya Huang, Pat Grady
Following NVIDIA's strategic acquisition of Mellanox in 2019, the combined entity transformed the AI landscape by shifting industry reliance from Moore's Law to a "scale-out" architecture that unifies thousands of GPUs through ultra-low latency interconnects. This integration enabled the development of specialized hardware, including Bluefield DPUs and Spectrum X switches, to overcome physical energy constraints and optimize distinct training versus inference workloads across gigawatt-scale data centers. Consequently, the partnership has driven a 45-fold increase in market capitalization while establishing a new philosophy where software-hardware co-design allows AI to function as a foundational utility for simulating complex scientific and historical phenomena.
Alfred Lin, Inside Sequoia: Launching $200M Seed Fund & $750M Venture Fund
Sequoia Partner Alfred Lin outlines a rigorous investment philosophy focused on identifying statistical "outlier" founders while providing bespoke support that functions as both crisis intervention and strategic sparring. The discussion details how successful ventures like Kaoshi and Zipline navigated long gestation periods and executed high-stakes pivots, emphasizing that capital should only fuel validated product-market fit rather than masking weak unit economics. Lin further critiques the industry's obsession with revenue velocity, arguing that sustainable growth depends on intellectual honesty regarding revenue quality and the ability to systematize operations in an increasingly competitive technological landscape.
- Milken Institute28 min
A Conversation with Carlos Slim Domit | Global Investors' Symposium Mexico City 2025
Carlos Slim Domit, Michael Milken
A strategic analysis highlights Mexico's unique investment case, driven by a young demographic, robust STEM workforce, and geographic proximity to the U.S. market to boost infrastructure and manufacturing capacity. This growth is underpinned by a national goal to raise the investment-to-GDP ratio to 28% while leveraging telecommunications networks to foster digital inclusion and a digital-first philanthropic model. Together, these factors position North America as a dominant global economic bloc, merging U.S. technological innovation with Mexico's demographic vitality for long-term stability and expansion.
- Goldman Sachs25 min
Navigating Year-End Risks: Tariffs, Credit, AI and More
Dominic Wilson, Josh Schifrin, Tom
Panelists Josh Schifrin and Dominic Wilson assessed that U.S. economic stability remains intact despite a peaked credit cycle, projecting Federal Reserve rate cuts to 3% or lower by the end of the year driven by soft labor indicators and benign inflation. While equity valuations for AI leaders and corporate debt levels warrant monitoring, the consensus holds that strong balance sheets prevent a bubble scenario and that market volatility remains largely idiosyncratic rather than systemic. The discussion further noted that fiscal sustainability concerns are currently offset by tariff revenue expectations, allowing the bond market to continue its drift toward lower yields.
- Goldman Sachs34 min
‘Culture is Everything’: Sixth Street’s Alan Waxman on Flexibility and Alpha
In the September 2025 Goldman Sachs Exchange "Great Investors" episode, 6th Street Co-CEO Alan Waxman details how the firm's $115 billion assets under management operate through a unified "one team" culture that avoids silos and prioritizes liquidity management over credit exposure. Waxman outlines strategic advantages including the $30 billion TAL cross-platform vehicle and major investments in affordable housing recapitalization, AI business model dispersion, and the global sports ecosystem. The discussion further emphasizes a rigorous hiring standard that removes high-performing individualists to maintain collective responsibility, ensuring the firm can "face the tiger" during crises while systematically identifying relative risk-reward across asset classes.
- a16z38 min
How Kong Was Born: APIs, Hustle, and the Future of AI Infrastructure
Augusto Marietti, Martin Casado, Aghi, Travis Kalanick, Sam Altman
Founders Auggie Azzurri and Marco pivoted MassShape to the open-source API gateway Kong after enduring a seven-year struggle with limited capital and visa restrictions, ultimately securing a Series B backed by Jeff Bezos and Eric Schmidt. This strategic shift from a failed marketplace to infrastructure allowed the company to scale to over $100 million ARR by dominating the microservices management space. Today, Kong is expanding its platform to address the emerging needs of AI agents, positioning itself as essential infrastructure for token management and LLM routing.
- 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.
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.
- 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.
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.
- 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.
- Sequoia Capital45 min
Why AI Will Transform Customer Experience: Cresta CEO Ping Wu and Sequoia’s Doug Leone
Ping Wu, Doug Leone, Sonya Huang
Cresta addresses the high attrition and fragmented experience of the global contact center industry by deploying a hybrid model of human agent assistance and autonomous digital agents that operate on legacy systems with under 800-millisecond latency. This approach leverages twenty simultaneously orchestrated AI models to capture the $75 billion in revenue-generating interactions historically lost to inefficiency, while Sequoia's Doug Leone anticipates the application layer becoming the primary locus of value in an "Industrial Revolution 2.0." The company aims to render the distinction between human and AI agents indistinguishable within 20 to 30 years, ultimately creating continuous, personalized customer journeys that span the entire lifecycle.