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  1. Y Combinator15 min

    Circleback CEO Ali Haghani: Why Your Company Should Be Recording More Meetings

    Ali Haghani

    Circleback, a YC Winter 24 batch company, functions as an AI-driven "company brain" that records, transcribes, and orchestrates team conversations to automatically generate notes and update CRM systems. Founder Ali employs the platform to manage recruitment pipelines and partner relationships while utilizing a specialized workflow that combines AI-generated code with strategic oversight to accelerate product development. The organization is simultaneously establishing rigorous governance protocols for autonomous agents and shifting its operational focus toward high-leverage decision-making as it transitions from manual coding to AI orchestration.

  2. Bank of America8 min

    Must Read Research: Earnings; European Energy Markets; Memory Demand; MSCI EM Reshuffle

    Candace Browning

    Nearly 90% of S&P 500 companies have reported Q2 2026 earnings, delivering a 30% year-over-year EPS growth and a 76% beat rate while AI-related stocks outperformed the broader market despite decelerating future forecasts. Simultaneously, Europe's record-breaking summer temperatures have strained power grids and driven gas price volatility, prompting analysts to favor renewable energy investments over new nuclear projects due to falling technology costs. In the semiconductor sector, SK Hynix capitalizes on surging hyperscaler demand with a projected $300 trillion annualized operating profit by 2026, while the MSCI Emerging Markets Index prepares for a 2027 reshuffle that may reclassify South Korea and Greece into developed status.

  3. Sequoia Capital17 min

    How Companies Are Building Their Own Intelligence | Sonya Huang, Sequoia Capital

    Sonya Huang

    Approximately 80 portfolio company founders and AI leaders convened to strategize the adoption of Sovereign AI, a framework defined by vertical integration where organizations own model weights rather than relying on external APIs. The event combined high-level market analysis with technical workshops led by industry experts to outline a four-step roadmap for building custom intelligence capabilities. Participants explored critical architectural decisions regarding cost efficiency, latency reduction, and the necessity of dedicated research labs to leverage open-weight models for proprietary domain performance.

  4. Dwarkesh Patel9 min

    8 Predictions for the Era of Continual Learning

    Dwarkesh

    The discussion argues that transitioning from static to continual learning is essential for AI to perform complex tasks and maintain safety through ongoing adaptation rather than pre-deployment checks. This shift is expected to fragment the current market of identical models into diverse, experience-driven systems while creating high switching costs that allow providers to secure substantial profit margins. Consequently, major labs face intense pressure to deploy functional models immediately to leverage live data feedback, which will accelerate development cycles and reshape the economics of AI inference.

  5. The Economist7 min

    Why China and America see AI differently | The Economist

    Corbin, Sarah, Archie, Zannie

    While over 80% of the Chinese public maintains an optimistic view of AI driven by decades of technological progress, significant structural anxieties persist among tech workers facing age discrimination and mass layoffs. In response, authorities have launched a five-year monitoring strategy utilizing real-time data on power usage and payment flows to detect early signs of workforce disruption and preemptively stabilize the labor market. Despite these proactive government interventions aimed at balancing innovation with social stability, experts remain skeptical about whether retraining programs can match the rapid scale of AI-driven economic shifts without triggering explosive instability.

  6. Goldman Sachs8 min

    Why US Stocks May ‘Grind Higher’

    Ashok Varadhan, Mike Washington

    Goldman Sachs co-head Ashok Baradhan forecasts equities will continue to "grind higher" despite recent volatility driven by war tensions, Fed rate concerns, and AI leverage unwinding, predicting a V-shaped tech recovery and S&P 500 new highs. Baradhan diverges from current market pricing by asserting interest rates will remain on hold through year-end as inflation recedes, while maintaining a constructive outlook on credit spreads and dismissing short-term currency interventions. The firm recommends investors stay fully invested with a target energy price below $70 per barrel to support U.S. yields and productivity gains, pending validation from upcoming jobs and inflation data.

  7. The Economist6 min

    Who’s really running Iran? | The Economist

    David Rennie, Dr Sanam Vakil, Sir Simon Gass

    Following a decapitation campaign by U.S. and Israeli forces that eliminated Iran's supreme leader and three layers of military command, the regime is navigating an existential survival war under the succession of the ailing Mojtaba Khamenei. Despite the loss of key figures like Ali Larijani, a consensus-based vote by 12 of 13 Supreme National Security Council members in June confirmed a unified commitment to signing a new MOU driven by rational forward defense rather than irrational hatred. Although the IRGC currently holds increased influence, the system faces critical uncertainty regarding Mojtaba's ability to replicate his predecessor's patronage network while managing severe health issues and a shifting political balance.

  8. Goldman Sachs16 min

    Energy Disruptions Are Here to Stay

    Adam Crook, Jerome Dortmans

    Amid escalating geopolitical tensions in the Middle East and Russia, the oil market has stabilized around $80–$85 for Q3 as investors focus on fundamental product deficits rather than headline volatility. While crude supply shocks have been partially mitigated by Russian export growth and strategic stockpiles, severe tightness in diesel and heating oil inventories threatens to sustain elevated prices through winter. Market analysts project a potential price dip to the $70s in Q4 if diplomatic progress occurs, though a significant supply response is unlikely before 2027 due to the long timeline required to rebuild global inventories.

  9. a16z10 min

    The Ocean Company - Ulysses | a16z American Dynamism

    Will O'Brien, Akhil Voorakkara, Jamie Wedderburn

    Ulysses has pivoted from a demand-constrained startup to a supply-limited entity capitalizing on the global E-AI super cycle to build a 24/7 autonomous robot network comparable to satellite constellations. The company leverages its modular vehicle architecture and in-house manufacturing to deliver cost-effective solutions for critical sectors including offshore restoration, defense mine countermeasures, and undersea infrastructure security. With a strategic vision to dominate the ocean domain within 15 years, Ulysses directly addresses the inadequacy of traditional military investments by deploying asymmetric, autonomous systems against threats ranging from naval mines to cable sabotage.

  10. a16z9 min

    The Future is Metal - Mariana Minerals | a16z American Dynamism

    Mariana, Turner Caldwell

    Founded by former Tesla executive Turner Caldwell, Mariana Minerals is deploying a vertically integrated, software-first strategy to reclaim Western control over critical mineral supply chains dominated by Chinese refineries. The company recently entered the Utah copper market by acquiring the struggling Copper One asset, where it rapidly implemented autonomous haul trucks and replaced legacy manual processes with its proprietary Mariana OS to validate operational efficiency in just 150 days. This approach aims to revitalize San Juan County while establishing a scalable model for future resource extraction on Earth, the Moon, and beyond.

  11. a16z13 min

    The Nuclear Renaissance - Radiant |  a16z American Dynamism

    Tori Shivanandan, Doug Bernauer

    Radiant Energy is developing the transportable Kaleidos micro-reactor, a modular nuclear power unit designed to replace aging infrastructure and support applications ranging from AI data centers to deep space exploration. Founded by former SpaceX engineer Doug Kim, the company leverages a factory-built assembly line model to deliver plug-and-play energy modules with a five-year fuel cycle, aiming to conduct its first full-power test at Idaho National Laboratory's Dome by 2026. This initiative seeks to restore U.S. energy independence and accelerate nuclear innovation by overcoming historical regulatory stagnation through a commitment to aggressive safety testing and mass production.

  12. Bank of America6 min

    Must Read Research: Russell Concentration, Hazardous Trash is the New Treasure; AI Financing

    Russell, Candace Browning, Savita Subramanian, Nandita Nayar, Neha Kota

    Savita Subramanian warns that passive indices face extreme concentration risks as the top ten Russell 1000 stocks command 35% of the index, while leveraged ETFs now hold over $75 billion to amplify volatility. Amidst this market structure shift, Nandita Nayar highlights a critical scarcity in hazardous waste disposal infrastructure where zero new landfills have been permitted since 1996, leaving Clean Harbors with over 65% of North American incineration capacity. Simultaneously, Neha Kota analyzes a divergence in AI-linked credit markets where high-yield spreads have widened due to data center stress, prompting a strategy to leg into the remaining $92 billion in expected 2026 supply.

  13. Dwarkesh Patel11 min

    Why compute prices might 10x as AI gets smarter

    Anthropic's projected tenfold revenue growth outpaces the industry's threefold compute expansion, forcing a shift toward higher inference margins, increased spot prices, and a reallocation of hardware to inference workloads. This economic divergence is exacerbated by hard supply constraints in Moore's Law, fab construction, and wafer allocation, which concentrate pricing power among frontier labs capable of charging significant premiums for compute-efficient models. Consequently, the market faces a pre-singularity regime where inelastic compute supply drives sustained price increases and intelligence concentration until automated manufacturing potentially resolves future scarcity.

  14. The Economist9 min

    Is billionaire wealth becoming more legitimate? | The Economist

    Callum Williams, Rosie Blau

    Recent research distinguishes between "competitive wealth" derived from creating goods and services and "uncompetitive wealth" from natural resources or political favors, finding the former is expanding while the latter declines. This shift is driven by rapid consumer growth in China, strong market returns, and the mobile-first internet era, which has fueled self-made billionaires in sectors like entertainment and retail rather than just technology. Consequently, data indicates that effective tax rates for the wealthiest Americans are high and that aggressive wealth taxes on competitive entrepreneurs may incur greater economic costs than the benefits of curbing inequality.

  15. Goldman Sachs11 min

    Live Market Insights: Addressing Client Questions on the Mid-Year 2026 Outlook

    Sharmin Mossavar-Rahmani, Matt Weir, Nicola Gifford

    Analysts project a robust 2026 outlook for U.S. equities, forecasting S&P 500 earnings growth of approximately 17% driven by broad-based margin expansion and macroeconomic resilience following a transition to energy independence. Portfolio strategies reflect this optimism by maintaining U.S. allocations while adding targeted exposure to AI supply chain leaders in Korea and Taiwan, while explicitly advising against the high costs of systematic put option hedging. Future market dynamics will be shaped by the tension between hyperscalers deploying 100% of operating cash flow into AI capital expenditures and the counterbalancing force of $1.3 trillion in projected corporate share buybacks.