Latest Interviews
Showing 241–255 of 2,158 transcripts.
Clear all filters- Goldman Sachs15 min
How to Trade Oil Now
Oil markets are currently navigating a binary valuation dependent on a potential memorandum signing, which determines whether prices stabilize near $95–$105 or re-price higher following a 30-day sell-off window. While the April ceasefire has removed the immediate risk premium on infrastructure, refined product shortages and yield shifts are expected to constrain European jet fuel supplies and sustain elevated summer prices for at least three to six months. Investor sentiment has subsequently pivoted from directional trading to downside hedging, anticipating that full supply normalization and a bearish market scenario will not materialize until nine months post-conflict.
- The Economist6 min
Will Rahm Emanuel run for president? | The Economist
Rahm Emanuel, Zanny Minton Beddoes
A prospective Democratic presidential candidate outlines a strategy for winning swing states by prioritizing "redistribution and growth" while centering campaign values on candor and authenticity to counter perceptions of weakness. On foreign policy, the figure proposes a significant NATO troop realignment west of the Rhine to deter Russia and rebuild U.S.-European trust damaged by recent administrations, while explicitly condemning the 2003 Iraq War and current Gulf conflict as strategic failures. The analysis concludes that American public support for Ukraine will persist provided leadership adopts a "smart" approach that fosters shared burdens rather than isolationism or unilateral mistakes.
- Goldman Sachs19 min
Will AI Make Markets Less Efficient?
Osman Ali, Alison Nathan, George Lee
Goldman Sachs' Global Co-Head of Quantitative Investment Strategies, Osman Ali, discusses how his team leverages AI and machine learning to analyze market sentiment across 15,000 stocks daily, capturing the fact that over half of recent equity returns are now driven by themes rather than fundamentals. Ali explains that while advanced language models enhance market efficiency, their widespread adoption creates new alpha opportunities through crowding effects and predictable herd behavior, which the firm actively models to exploit. This strategy relies on a hybrid approach combining proprietary data, custom technology, and human experience to navigate a zero-sum game where increasing market complexity continuously generates fresh sources of value.
- Sequoia Capital11 min
AI That Designs Its Own Chips: Ricursive's Anna Goldie and Azalia Mirhoseini
Anna Goldie, Azalia Mirhoseini
Founded by former leaders from Google Brain, Anthropic, and DeepMind, Recursive Intelligence has deployed its AlphaChip technology to optimize billions of transistors for Google's TPU and Axion lines while adopting by MediaTek. The company currently accelerates chip design by running static timing analysis 1,000 times faster than commercial tools, enabling AI agents to generate curved, organic layouts that reduce wire lengths and cut annual design cycles from months to days. Looking ahead, Recursive plans to democratize custom silicon through a platform model that delivers fabrication-ready layouts without in-house teams, ultimately aiming to vertically integrate design and fabrication into a self-reinforcing loop for frontier AI systems.
- The Economist9 min
Do plants feel pain? | The Economist
Biologists Michael Levin and other experts presented evidence that non-neural mechanisms like bioelectric fields enable information processing in organisms without centralized brains, as demonstrated by planaria worm regeneration and conditioned *Mimosa pudica* responses. The event detailed documented plant capabilities including visual mimicry, auditory toxin release, and the distinction between environmental sentience and human-style consciousness. While debate persists regarding whether immobile flora can perceive pain, the consensus among interviewed scientists suggests that plant intelligence is fundamentally an adaptive problem-solving tool rather than a basis for moral objection to consumption.
- Sequoia Capital9 min
Inside the Rise of Autonomous AI Hackers: XBOW's Oege de Moor
The presentation argues that the cybersecurity arms race has shifted to autonomous AI attacks, exemplified by an AI agent named XBO that recently achieved global dominance on HackerOne by discovering critical Microsoft Bing vulnerabilities through black-box testing. Because current defensive tools often fail to verify exploitability in live environments, the speaker urges organizations to immediately integrate autonomous AI into their workflows to counter negative exploit velocity before open-weight models close the capability gap within six to nine months. Ultimately, the event posits that future security success depends entirely on adopting AI-driven offensive and defensive systems rather than relying on traditional human-only methods.
- Sequoia Capital14 min
Why the Brain Computes 1,000,000x More Efficiently Than A GPU: Unconventional AI's Naveen Rao
Unconventional AI CEO Navin Rao is deploying a prototype that replaces traditional von Neumann architectures with nonlinear dynamical systems to overcome the impending energy saturation of current AI infrastructure. By leveraging Kuramoto synchronization models, the startup achieved functional generative capabilities in six months while demonstrating energy efficiency comparable to biological neural networks. This physics-based approach aims to bypass the thermodynamic limits of digital lithography, offering a viable pathway to artificial general intelligence within strict global power constraints.
- Sequoia Capital12 min
Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space
StarCloud CEO Philip Johnston validated the technical feasibility of space-based high-performance computing through the successful "StarCloud 1" mission, which demonstrated thermal management and radiation tolerance while executing AI inference tasks. The company has filed an FCC application for an 88,000-satellite constellation capable of delivering 20 gigawatts of compute power with sub-50-millisecond latency, targeting a $100 billion capital expenditure that becomes economically viable once launch costs drop below $500 per kilogram. While current operations focus on inference workloads, the roadmap envisions future large-scale training structures that could catalyze a transition toward a Kardashev Type 2 civilization within decades.
- Sequoia Capital9 min
Why Data Is the Real AI Bottleneck: Flapping Airplanes' Ben and Asher Spector
Launched three months ago, Flapping Airplanes is an AI lab founded by Ben, Asher, and Thiel Fellow Aidan Smith that targets data-scarce domains like robotics and scientific discovery. The company differentiates itself through a system-level approach that builds custom hardware-abstraction layers to achieve theoretical 1,000x data efficiency, bypassing the limitations of standard frameworks like PyTorch. This strategy aims to democratize access to advanced AI by overcoming the escalating costs of data acquisition, prioritizing the recruitment of unconventional minds to drive paradigm shifts in system co-design.
- The Economist8 min
Are AI models running out of power? | The Economist
Facing severe hardware shortages and monopoly choke points where Nvidia and TSMC dominate supply, major AI developers like OpenAI and Anthropic are throttling services and redirecting resources to manage capacity. In response to these constraints, five cloud providers plan a $700 billion infrastructure build-out while companies grapple with three-to-five-year lead times for essential components and aging chip inventories. This fundamental mismatch between rapid software cycles and slow physical production is projected to reverse declining inference costs, potentially raising prices and slowing overall industry adoption.
- The Economist6 min
How high could the oil price go? | The Economist
Zanny Minton Beddoes, Edward Carr, Mathieu, Henry
Global oil markets face a structural crisis where a 14 million barrel-per-day supply deficit has eroded the "sanguine" expectation of a quick peace deal, creating a price disconnect that literature estimates would require $167 to $460 per barrel to correct. With production gains from non-conflicted regions proving negligible, the market is currently absorbing this shortfall through record-fast inventory drawdowns of 8 to 10 million barrels daily, driven by pre-war shipments and sanctions-induced cargo displacement. As critical buffers for jet fuel and diesel approach minimum levels and logistical constraints lengthen trade routes, the only remaining adjustment mechanisms involve further depletion of commercial stocks or active demand destruction in major consuming regions like Asia.
- Goldman Sachs15 min
Riding the AI Wave
The April 30 FOMC meeting revealed a divided Federal Reserve committee that shifted from expectations of a near-term rate cut to a non-committal stance, a position reinforced by the incoming appointment of hawkish member Kevin Warsh. While private sector leverage has decreased since the Great Financial Crisis, concerns regarding public sector debt sustainability and elevated term premiums persist alongside a robust equity rally driven by hyperscalers and artificial intelligence. Investment strategists consequently maintain a bullish but cautious 7/10 allocation to technology, avoiding fixed income while rotating into energy and defense to hedge against potential consumer drawdowns expected in the mid-year "air pocket."
- Milken Institute20 min
A Conversation with IMF Managing Director Kristalina Georgieva | Global Conference 2025
Kristalina Georgieva, Gerard Baker
Following an IMF downgrade of the global growth forecast to 2.8%, Managing Director Kristalina Georgieva addresses diverging inflation trajectories and rising fiscal constraints while urging China to undertake structural reforms to shift toward domestic consumption and reduced state intervention. Amidst a volatile trade landscape marked by the erosion of fair trade mechanisms and a transition to new economic equilibriums, policymakers are prioritizing bilateral agreements and supply-side productivity enhancements to stabilize financial markets and foster sustainable expansion. This strategic pivot seeks to navigate "off the charts" uncertainty by balancing emerging market resilience against the severe deflationary pressures in China and the debt challenges facing advanced economies.
- Goldman Sachs17 min
How Warsh Could Shape Fed Policy
Kevin Warsh, Rob Kaplan, Alison Nathan
Following the Justice Department's decision to drop its investigation of Jerome Powell, the Trump administration expects Kevin Warsh to be confirmed as the next Fed Chair by June. Warsh, a former "lieutenant" to Ben Bernanke who views quantitative easing strictly as an emergency tool, plans to collaborate with Treasury Secretary Bessent to manage the balance sheet while prioritizing a reduction in the Federal Reserve's communication burden through the potential elimination of the dot plot. This strategy aims to navigate sticky inflation and geopolitical uncertainties that have pushed market rate cut expectations into 2027, requiring Warsh to build consensus among diverse FOMC members to secure seven votes for any policy shift.
- 80,000 Hours10 min
The viral myth that made you think your job was safe
A widely circulated report falsely attributed to MIT, which claimed a 95% failure rate for generative AI pilots, is exposed as a commercially motivated study authored by four developers with undisclosed financial stakes in competing AI frameworks. The analysis reveals that the original data actually indicates a 25% success rate for custom tools, attributing pilot terminations to organizational resistance rather than technical limitations while relying on an unpeer-reviewed methodology based on a small, non-transparent sample. This narrative shift challenges the prevailing skepticism surrounding enterprise AI by highlighting the report's conflict of interest and the statistical instability of its primary failure metric.