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  1. The Economist6 min

    Is Colombia heading for its most polarised election yet? | The Economist

    Kinley Salmon, Jason Palmer

    Colombia faces a highly volatile presidential election defined by record violence and drug production, featuring three distinct contenders: the austere hard-left Ivan Cepeda, the spectacle-driven hard-right populist Abelardo de la Espiella, and the establishment center-right candidate Paloma Valencia. Cepeda and de la Espiella currently lead the polls by leveraging contrasting strategies against the backdrop of a failed peace process, with experts anticipating a polarized runoff between them while acknowledging Valencia's struggle to gain traction. Despite their divergent platforms, all three candidates remain viable, presenting a fractured political landscape where voters must choose between a socialist-style economic expansion, a punitive security crackdown, or a traditional focus on institutional decency.

  2. Milken Institute1h 0m

    Leading with Purpose: The Corporate Moral Compass | Global Conference 2026

    Diane Brady, Marvin Ellison, Ryan Gellert, Linda Hubbard, Daniel Lubetzky, Hamdi Ulukaya

    CEOs from Chobani, Patagonia, Lowe's, Carhartt, and Kind convened to argue that embedding social purpose into core operations, rather than treating it as a trend, is essential for long-term business survival and shareholder value. The panelists detailed specific structural shifts, including Patagonia's profit redistribution, Chobani's employee ownership, and Lowe's massive investment in skilled trades, to demonstrate how authentic purpose drives growth while countering political polarization. Ultimately, the leaders asserted that aligning corporate strategy with community well-being and employee dignity is the only viable path to sustaining economic resilience in a divided society.

  3. a16z33 min

    The New Rule for Picking AI Winners | The a16z Show

    David George, David Clark

    Frontier AI firms like Anthropic and OpenAI are currently outpacing the combined revenue growth of major tech giants, with a projected collective run rate of $200 billion driving valuations toward $100 billion by September. While current enterprise adoption remains largely efficiency-focused, supply chain constraints are expected to persist until late 2028, preventing an oversupply bubble despite the rapid scaling of $5 trillion in data center capital expenditures. As venture strategies pivot to securing market leaders in a shrinking startup half-life, the industry is poised for a structural shift where dominant AI entities redefine public market dynamics and consumer engagement over the next decade.

  4. InstituteofTrading12 min

    ITPM Flash Ep113 Standing on the Edge

    Edward Shek

    Current market analysis indicates the S&P 500 is historically overvalued by traditional metrics, driven instead by a $737 billion annualized capital expenditure boom centered on AI infrastructure and the disproportionate earnings growth of the Magnificent 7. Despite macro headwinds like rising bond yields, institutional strategists recommend maintaining an overweight position in this Capex trade for the next 18 months, monitoring specific sell signals such as a convergence of spending with demand or deterioration in unit economics. Investors are advised to employ active risk management through strict position sizing and hedging, as a significant correction is projected only if hyperscaler spending halts rather than based on valuation multiples alone.

  5. Y Combinator24 min

    Why Two IIT Engineers Turned Down $550K Jobs To Build A Startup

    Varun Vummadi, Ankit Gupta

    GigaML, a Y Combinator-backed startup founded by IIT Kharagpur alumnus Varun and his Stanford-educated co-founder, has pivoted from EdTech to developing AI agents that achieve 60% to 70% support deflection rates for major clients like DoDash and DoorDash. The company addresses the enterprise bottleneck of manual configuration by launching "AI forward deployed engineers" that automatically iterate policies to improve business metrics, a strategy enabled by their "0.1% talent" recruitment philosophy and heavy reliance on human-coded expertise rather than sales teams. By leveraging the YC trust network to secure early contracts with eight-person operations, GigaML aims to unlock broader enterprise AI adoption through a generic automation layer that eliminates the need for extensive human engineering resources.

  6. Goldman Sachs8 min

    Can the Tech Surge Continue?

    Peter Callahan, Chris Hussey

    Goldman Sachs reports a near-historic tech rally driven by an 80% year-to-year surge in semiconductors and robust earnings revisions that support current valuations. The firm projects 2027 capital expenditures to exceed $900 billion as infrastructure orders extend through 2027, while the software sector undergoes a selective re-rating based on demonstrated AI revenue growth. Despite concerns that the market has advanced too rapidly, analysts maintain a constructive medium-term outlook anchored by fundamental financial improvements rather than interest rate dynamics.

  7. Stanford Online1h 5m

    Stanford CS153 Frontier Systems | The Road Ahead: Resilience Required

    Joe Sullivan, Mike, Matthew Prince, Travis, John, Brandon, Shov

    Former security executives from the US Department of Justice, eBay, Facebook, and Uber detail a high-stakes career trajectory that includes the 2016 Uber data breach, a 2022 obstruction of justice conviction, and subsequent rehabilitation through community support and global speaking engagements. The discussion analyzes the modern threat landscape, highlighting the evolution of ransomware, the operational risks posed by generative AI, and the urgent need for quantum-resistant cryptography. Concluding with strategic advice for 2026, the presentation emphasizes that cybersecurity leadership must evolve into a core executive function capable of navigating complex regulatory environments and ensuring organizational resilience against both digital and physical threats.

  8. 80,000 Hours36 min

    Will AI cause mass unemployment? Maybe not.

    Benjamin Todd

    Amid widespread fear of AI-driven job displacement, the event analyzes historical automation trends to reveal that wages may rise significantly until 2037 before facing a decline if full task automation is achieved without human oversight. Experts identify four categories of skills likely to increase in value, including complex physical tasks, AI deployment capabilities, and roles producing scalable goods, while warning against exclusive specialization in routine knowledge work. The presentation concludes by advising professionals to cultivate transferable leadership and technical abilities that bridge human decision-making with AI efficiency to navigate a shifting labor market.

  9. Sourcery with Molly O'Shea1h 7m

    She Bought a Bank for $56M. It's Now Worth $1.5 BILLION

    Jackie Reses, Jack Ma, Joe Tsai, Masa Son, JD Vance, Jack Dorsey, Masayoshi Son, Molly O'Shea

    Jackie Reses, CEO and founder of the fintech infrastructure firm LeadBank, leverages her extensive background leading board relations at Alibaba and major operational turnarounds at Yahoo and Square to challenge the narrative of crypto debanking. Her leadership philosophy emphasizes executing high-stakes missions across regulatory hurdles, evidenced by her firm's $280 million revenue and partnerships with over 100 crypto companies. Reses combines deep technical expertise with unique political access through her family ties to effectively navigate complex financial landscapes while advocating for industry-driven legislation.

  10. Stanford Online46 min

    Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrastructure, Capstone Case

    Sachin Katti, Apoorv Agrawal

    Former Intel CTO Kati Katti, now at OpenAI, details the organization's aggressive pursuit of 30 gigawatts of compute capacity to support a future dominated by complex agentic workloads and massive inference demands. This strategy involves overcoming severe supply chain bottlenecks and grid constraints through specialized infrastructure like nuclear power and Cerebras accelerators while prioritizing gigawatt-scale deployment over fragmented edge solutions. Katti predicts the AI value chain will eventually shift from hardware foundations to application-layer outcomes, as the industry races to solve the critical shortage of logic and memory fabrication capacity.

  11. Stanford Online1h 4m

    Stanford CS153 Frontier Systems | The Discipline of Delivering Value per Gigawatt

    Amin Vahdat, Sebastian

    Google plans to expand its internal infrastructure to tens of gigawatts over the next four years, driving a strategic shift toward extreme system balance and specialized hardware like the TPU v8 series to overcome the 11% Model FLOPs Utilization limits of current clusters. As lead times for power procurement stretch to two to three years, the company is prioritizing energy abundance and grid integration through demand-response programs while redefining reliability standards to accept scheduled downtime in exchange for doubled compute capacity. This approach addresses critical bottlenecks in high-bandwidth memory supply and network latency, ensuring that future scaling efforts deliver maximum value per dollar rather than merely accumulating raw hardware assets.

  12. Bank of America18 min

    Bond market selloff

    Sphia Salim, Zviya Salim, Mark Yamashita, Agni, Edward

    On May 22, global bond markets underwent a significant sell-off driven by inflation concerns and supply fears, with the US Treasury market stabilizing amid US-Iran negotiation headlines while Japanese and UK markets faced distinct fiscal and political pressures. Central bank policy reassessments, particularly regarding Federal Reserve Chair Kevin Morse and Bank of Japan Governor Ueda, have shifted investor expectations toward potential rate hikes despite underlying growth softness in the Eurozone. Consequently, positioning across US, Japanese, and UK gilts has adapted to a landscape where real rates are rising, though recent commodity stabilization and election outcomes have sparked partial reversals in volatility.

  13. The Economist7 min

    A former CIA director on whether Russians are losing faith in Vladimir Putin

    Vladimir Putin, Bill Burns, Shashank Joshi

    CIA Director William Burns anticipated Russia's 2021 invasion based on intelligence revealing Vladimir Putin's belief that Ukraine was a domestic Russian issue and that Western allies were distracted, a miscalculation that has now led to a strategic inflection point. Following four years of conflict characterized by Russian casualties exceeding recruitment and severe damage to its energy sector, internal Moscow pressure is mounting despite Putin's tight repression and a temporary economic lifeline from energy exports to Iran. Current assessments indicate that any potential negotiation will likely require sustained battlefield support for Ukraine combined with severe economic pressure, even as the war's duration has depleted critical U.S. interceptor inventory needed by Kyiv.

  14. Milken Institute59 min

    FinTech's Global Playbook: Breaking Barriers and Borders | Global Conference 2026

    Nicole Valentine, Roberto Campos Neto, Denelle Dixon, Nigel Morris, Haseeb Qureshi, Barry Silbert

    Industry pioneers including Roberto Campos Neto, Nigel Morris, and Danelle Dixon convened to map the global shift from legacy banking to a decentralized financial system driven by stablecoins, tokenization, and AI. The panel detailed how digital rails like Stellar and Nubank are bancarizing millions in Latin America while stablecoins challenge state power by enabling permissionless value transfer across borders. Ultimately, the discussion established that future leadership in this $300 billion sector demands extreme adaptability and technical literacy to navigate a volatile landscape where agentic commerce and asset tokenization are redefining economic sovereignty.

  15. Y Combinator47 min

    Inside YC's AI Playbook

    Pete Koomen, Gary, Jared, Diana, Tom, Boris

    Y Combinator has redefined its operational model by evolving into a super AI-native organization that treats artificial intelligence as a foundational infrastructure rather than a mere tool, enabling autonomous agents to access a unified PostgreSQL database for complex business logic. This architecture supports a dynamic ecosystem of over 350 specialized tools and a daily "dream cycle" process that refines workflows based on meeting transcripts, effectively compressing employee onboarding and eliminating traditional manual coding bottlenecks. By broadcasting internal agent interactions to public channels and investing heavily in token costs, YC advocates for a decentralized future of just-in-time software where human prompts drive the interface, positioning the firm to leapfrog competitors reliant on conventional co-pilot methodologies.