Latest Interviews
Showing 46–60 of 1,510 interview transcripts.
Clear all filters- The Economist8 min
Why knowing the future doesn't always help predict markets | The Economist
Elm Wealth's study compared the performance of laypeople, artificial intelligence models, and professional macro traders by simulating 15 days of trading with perfect future news on historical market data. While professionals doubled their starting capital by dynamically adjusting leverage based on confidence, average human and AI participants barely broke even or lost their entire stake due to poor bet sizing. The findings highlight that successful investing relies more on capital allocation and risk management than on superior directional prediction accuracy.
- Bank of America14 min
Signals & Noise: Bubble Building in the Age of AI
Ben Bowler, Arjun Goyal, Benjamin Bowler
Bank of America Global Research identifies a prevailing "bubble era" driven by reflexive feedback loops where rising prices and volatility reinforce one another across asset classes like AI, tech, and cryptocurrencies. The firm's proprietary Bubble Risk Indicator (BRI) quantifies this instability using historical price data, successfully flagging recent pullbacks in Korean equities and vulnerable sectors such as cybersecurity and semiconductors. Strategic guidance suggests investors prioritize monitoring this metric over traditional valuations to navigate an environment characterized by higher volatility, larger drawdowns, and rapid snapbacks without an immediate terminal crash.
- Goldman Sachs17 min
Jon Winkelried on Lessons from Goldman Sachs and TPG’s Next Chapter
Jon Winkelried, Matt McClure, John Winkle-Reed
John Winkle-Reed, who rose from a 1981 Goldman Sachs intern to co-president before retiring in 2009, applied his leadership philosophy of active listening and decision transparency to transform TPG from a $64 billion founder-led buyout firm into a $310 billion diversified public alternative asset manager. His strategic shift from a siloed structure to a unified "one firm" orientation overcame significant internal resistance, enabling the 2022 public listing and major acquisitions like Angela Gordon in 2023. Currently serving as sole CEO since 2021, Winkle-Reed has integrated artificial intelligence as a central growth driver while steering the organization's geographic and operational evolution from a San Francisco-centric model to a global enterprise with its largest workforce in New York.
- Milken Institute20 min
Advancing a Modern Regulatory Framework: SEC Chairman Paul Atkins Conversation | Global Conference
Paul Atkins, Michael Piwowar, Mike
The SEC is executing a strategic pivot from enforcement-heavy regulation to a framework prioritizing economic materiality, aiming to reverse the decline in public companies and revitalize the IPO market through simplified disclosure rules and reduced litigation barriers. Parallel efforts are establishing clear jurisdictional boundaries with the CFTC for digital assets while modernizing fund structures to enhance tax efficiency and expanding 401(k) access to private credit markets. Guided by Enforcement Director David Woodcock's focus on substantive fraud over procedural technicalities, the agency seeks to restore investor confidence and preserve the United States' competitive standing in global capital formation.
- RAISE Summit18 min
The Invisible Backbone of AI: Why Light Powers Intelligence | Lumentum | RAISE Summit 2026
Lumentum outlines a four-stage data center evolution from kilometer-scale interconnects to millimeter-level optical PCB integration, a shift driven by copper's inability to support 1.6 terabit speeds. This transition promises a 100 to 1,000-fold expansion in optical lanes, with scale-up rack integration expected by mid-2027 and commercial scale-in adoption projected by 2029. To meet the demand for hundreds of millions of lasers, the company has expanded Indium Phosphide wafer fabrication while strategic investments from NVIDIA secure supply for these critical semiconductor components.
- Goldman Sachs12 min
Are Hedge Funds Still Bullish on AI Stocks?
Vincent Lin, Chris Hussey, Vinny Lin
Following a historic 32% drawdown in high-beta momentum strategies, the market has stabilized as hedge funds reduced semiconductor exposure from record levels while managing a four-fold surge in volatility. Despite the sharp correction driven by heavy selling pressure in technology sectors, equity funds have maintained healthy returns and are currently repositioning near median exposure to capitalize on dipping AI infrastructure valuations. Analysts now advise utilizing limited-loss option structures to navigate upcoming earnings for mega-cap hyperscalers, while monitoring the risk of rising stock correlations that could undermine the current low-correlation alpha opportunities.
- The Economist7 min
Elon Musk on Europe, the far right and civil war in Britain | The Economist
Elon Musk, Zanny Minton Beddoes
Elon Musk and an interviewer clashed over the classification of his political views and his claims that civil war in Britain is inevitable due to demographic shifts. While Musk defended his promotion of a film depicting vigilante violence and rejected accusations of racism by citing his personal relationships, the interviewer challenged his assertions with crime statistics and labeled his influence on UK politics as irresponsible and based on a distorted American perception. Despite Musk's dismissal of his critics as a minority, the discussion highlighted a fundamental disagreement over his role in shaping public discourse and the validity of his warnings regarding Western safety and immigration.
- RAISE Summit19 min
Fireside Chat with Tess Munsie, Chief of Staff at Fundamental | RAISE Summit 2026
Tess Munsie, Nina dos Santos, Tess Muncy
Fundamental has emerged from stealth with a $1.45 billion valuation to deploy Nexus, a Large Tabular Model specifically engineered to solve the "blind spot" where traditional LLMs fail to process structured enterprise data with deterministic precision. By utilizing a "bring the model to the data" architecture within customer VPCs, the platform enables industries like energy and shipping to transform decades of trapped records into immediate operational insights while maintaining strict data sovereignty. This approach reduces forecasting timelines from months to hours and delivers a generalized solution that replaces brittle, task-specific pipelines across sectors ranging from CPG to sports analytics.
- RAISE Summit19 min
Inside the AI Inference Cluster: Measuring What Matters | Mansour Karam, Aria Networks | RAISE 2026
The AI infrastructure sector is pivoting from homogeneous general-purpose systems to specialized architectures that optimize distinct model training and serving economics, with high-throughput inference offering potential cost savings of up to 100x. This shift demands deep networking solutions capable of managing dynamic, unpredictable traffic patterns and microsecond-scale latency requirements for complex agent workflows. Leading this transition, ARIA proposes a multi-layered AI agent architecture that integrates full-stack telemetry to dynamically coordinate hardware, software, and network operations across immediate physical reactions and long-term strategic planning.
- RAISE Summit20 min
From Software to Hardware: The Next Wave of AI | Atomico x PhysicsX | RAISE Summit 2026
Physics X recently secured a $300 million Series C led by Temasek, raising its valuation to $2.4 billion to accelerate its expansion into Singapore and the broader Asian market. Founded by ex-Formula 1 engineers, the company utilizes AI-native physics models to deliver simulation speeds up to one million times faster than traditional methods for clients in aerospace, automotive, and mining sectors. To address complex engineering challenges in defense and energy transition, the firm operates with a forward-deployed team model while transitioning its platform to support self-service graphical interfaces and automated workflows.
- RAISE Summit19 min
Digital Workers for the Physical Economy: AI Agents in Global Supply Chains | Magentic | RAISE 2026
Magentic positions itself as a leader in the physical AI economy by leveraging entity resolution technology to automate procurement and supply chain operations for Fortune 500 clients. The company differentiates through an outcome-based pricing model that charges only upon realizing tangible savings, having already delivered rapid ROI for major industries ranging from electronics to brewing. By converting legacy data into actionable insights, Magentic enables physical enterprises to replicate the growth velocity of software firms while preparing procurement teams to expand their strategic roles over the next five years.
- RAISE Summit20 min
The Missing Layer: Why Agentic AI Fails Without a Work Operating System | Asana | RAISE 2026
Amritansh Raghav, Mike Butcher
AR, Asana's CTO, challenges the enterprise belief that AI productivity is primarily hindered by shadow IT, arguing instead that success depends on deploying mature platforms capable of "agentifying" complex business processes. Leveraging Asana's existing foundation for human coordination, AR positions the company as a critical intermediary layer that safeguards intellectual property and maintains vendor optionality against volatile AI-native competitors. He advises leaders to prioritize workflow decomposition with deterministic checkpoints and diverse model integration to ensure accountability and cost efficiency rather than relying solely on model quality.
- RAISE Summit18 min
Fast, Efficient Inference at Scale with Heterogeneous Hardware | Gimlet Labs x d-Matrix | RAISE 2026
Zain Asgar, Sid Sheth, Sid Shade
Gimlet Labs, founded and led by former NVIDIA and Stanford professor Zain Asghar, has secured nearly $80 million in Series A funding to deploy an industry-first multi-silicon cloud capable of making AI inference workloads ten times more efficient. The platform orchestrates heterogeneous hardware by distributing fine-grained AI components across CPUs, GPUs, and NPUs to optimize memory and compute trade-offs for agentic workloads. Operating a vertically integrated infrastructure to manage complex network and cooling challenges, Gimlet partners with chipmakers like D-Matrix to deliver five-fold capacity increases while redefining data center design away from GPU-only scaling.
- RAISE Summit14 min
How Is AI Changing the CFO Office? | RAMP x DFCG | RAISE Summit 2026
Jacob Wallemberg, Armand Angeli
Jakob Wallenberg is leading RAMP, a US-based finance automation platform serving 70,000 clients, through its expansion from American markets into the UK and broader Europe starting this summer. The company distinguishes itself with a full suite of products ranging from corporate cards to newly launched AI-native agents that automate book closing and enforce policy compliance via large language models. By integrating deeply with existing ERPs while providing granular visibility into AI model spending for CFOs and CIOs, RAMP aims to transform enterprise financial operations from manual processes to a rapid, automated system of action.
- RAISE Summit19 min
Fireside Chat with Jarek Kutylowski, Founder & CEO of DeepL | RAISE Summit 2026
Jarek Kutylowski, Lionel Laurent
Founded in 2017 by Jarek Kutsiwowski, DeepL has evolved from a startup building its own GPU infrastructure into a specialized translation provider serving 100,000 enterprise clients with proprietary models designed for high-stakes legal and technical domains. Facing recent market shifts, the company implemented a 20% workforce reduction to align operations with AI adoption while leveraging its unique position as a backend engine for major consumer platforms like YouTube. Looking forward, DeepL aims to eliminate language barriers in global business by combining real-time speech capabilities with human-in-the-loop oversight, maintaining its European roots while competing against US-based AI dominance through agile innovation.