Latest Interviews
Showing 211–225 of 1,099 interview transcripts.
Clear all filters- 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.
- All-In Podcast28 min
Sequoia’s Roelof Botha: Why Venture Capital is Broken & How Great Companies Are Built
Sequoia Capital, led by a third generation of partners, sustains its legacy by prioritizing long-term value creation and consensus decision-making over aggressive fee maximization. The firm counters industry capital overhang by deploying proprietary AI tools and maintaining a selective investment strategy that has historically generated trillions in public market value through companies like Apple and Nvidia. While navigating geopolitical shifts by separating its Chinese operations and adapting to a regulatory landscape that has drastically reduced startup formation there, Sequoia continues to back founders with exceptional curiosity despite unconventional profiles.
- Goldman Sachs21 min
The Shutdown’s Economic Impact
A partisan role reversal has precipitated a broad federal government shutdown as Democrats withhold support for clean spending bills to demand the extension of ACA health insurance subsidies, a move that polling suggests is driving voter blame toward Republicans. The crisis faces a critical resolution pressure point on October 15 when active-duty military personnel miss a pay cycle, a deadline that historically compels congressional action to avoid widespread economic disruption. While the shutdown projects to reduce Q4 GDP by approximately 0.3 percentage points and delay key economic data releases, market analysts and the Federal Reserve anticipate the stalemate will resolve quickly through a targeted fiscal compromise.
- All-In Podcast28 min
YouTube CEO Neal Mohan on AI, Censorship & the Future of Creators
Neal Mohan, Chamath, Jason, Friedberg, Ari
YouTube CEO Neal Mohan outlined the platform's dominance with 2 billion monthly active users and over $70 billion paid to creators, while addressing tensions between its 55/45 revenue model and high-profile creators who opt for direct monetization. Mohan defended YouTube's algorithmic fragmentation as a driver of niche engagement while highlighting new AI initiatives that prioritize creator likeness rights and transparency labels over blanket bans. The discussion further detailed strategies to balance global moderation complexities with evolving regulations and a renewed focus on YouTube Premium and TV to reinvent the viewer experience.
Base Power Raises $1B led by Addition, with Trust Ventures, Lightspeed, a16z, Altimeter, Elad Gil
Elad Gil, Zach Dell, Justin Lopas, Molly O'Shea
Base secured an oversubscribed $1 billion Series C led by Addition, accelerating from its previous $200 million round to fund its "Speed to Power" product designed to bypass traditional grid interconnection delays for data centers. Backed by strategic investors like Lennar and Starwood alongside founders from SpaceX and Tesla, the company is deploying gigawatt-scale battery capacity from its Austin "Factory One" at a target rate of 100 megawatts per month. This capital infusion supports a strategic pivot to replace fossil fuels with cost-efficient solar and storage, aiming to solve critical energy bottlenecks for AI development while expanding operations into high-solar states like California and Florida.
- RAISE Summit22 min
Inception Fund & AI: From Inception to Exit Building AI Giants from Europe and the Nordics
Former professor Peter Sarlin founded the private AI lab Silo AI in 2017 and led the bootstrapped company to a $700 million exit when acquired by AMD in 2022, establishing the largest pure-play AI acquisition in Europe. Sarlin attributes this success to a contrarian philosophy that prioritized functional machine learning over hype while hiring primarily from academia, resulting in a workforce of over 220 AI scientists before the strategic sale. Beyond this specific case study, Sarlin highlights that the fragmentation of the European single market remains the primary barrier preventing regional startups from scaling into trillion-dollar enterprises, forcing founders to adopt a global-first strategy despite Europe's strengths in industrial AI applications.
- RAISE Summit23 min
Oege De Moor (XBOW) & Apoorv Agrawal (Altimeter): Hackers with GPUs Offensive Security in the AI Era
Oege De Moor, Apoorv Agrawal, Uhey Dhimur
Altimeter Capital-backed startup Expo has deployed an autonomous AI agent that ranks as the world's top ethical hacker, identifying over 1,200 vulnerabilities including critical zero-days in enterprise giants like Palo Alto Networks and Salesforce within a single week. This superhuman capability forces a strategic industry shift toward AI-driven defense to combat a "skill shortage" in malicious actors that has enabled nation-states to automate attacks with unprecedented speed. While the market anticipates a major cyber incident within twelve months due to rising AI-generated code risks, human security roles are expected to evolve from technical execution to the strategic orchestration of these autonomous systems.