Latest Interviews

The AI Investment Boom: When Will It Pay Off?

Jim Covello, Alison Nathan, George Lee

In a Goldman Sachs Exchanges episode recorded on May 26, 2026, Jim Cabello and George Lee analyze the divergence between surging AI technology and unproven economic returns. Cabello admits previous misjudgments regarding consumer adoption and hyperscaler spending patterns while warning that the current exclusive profitability of semiconductor firms creates an unsustainable market dynamic. The dialogue concludes that without evidence of enterprise-scale profitability within the next two years, the industry faces a potential correction where hyperscaler stocks are poised to outperform if capital expenditure moderates or profit distribution shifts upstream.

The Career Advice That's Quietly Ruining People's Lives

Benjamin Todd, Rob, Milo McGuire, Elizabeth Cox, Katy Moore

Eighty-thousand Hours challenges the conventional career advice to "follow your passion" by revealing through three decades of research that passion is often a result of meaningful work rather than a pre-existing guide. The organization proposes an alternative framework centered on five structural drivers—engaging work, helping others, competence, supportive colleagues, and basic needs—to systematically achieve career fulfillment without relying on unstable personal intuitions. By prioritizing skills that aid others over high-interest niches, individuals can avoid the stress of intense competition and secure greater long-term satisfaction regardless of income level.

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.

Must Read Research: Weather & Commodity Risks; Fed Hikes; EU Trade Dynamics and Evolving Consumers

Candace Browning, Mark Cabana, Horst Schneider, Lorraine Hutchinson

A 2026 market analysis highlights severe El Niño-driven disruptions to global grain and sugar supplies alongside tightening U.S. corn balances that could push prices above $6 per bushel. Concurrently, resilient payroll growth and accelerating inflation suggest the Federal Reserve must raise rates to approximately 4% by year-end, a move likely underpriced by current market expectations. In global trade, Chinese automakers doubled their European market share to 8% in Q1 2026 while second-hand apparel spending surged 38%, reflecting shifting consumer dynamics and intensified geopolitical trade flows.

A Tale of Two Markets

Shawn Tuteja, Chris Hussey, Sean Tatasia

As of May 13, the S&P 500 and Nasdaq have rallied significantly driven by a 17% year-over-year earnings growth surge and concentrated capital expenditure of $755 billion in the AI sector. This performance has created a divergence where hyperscalers and semiconductor equipment outpace cyclical equities amid inflation shocks that have shifted Federal Reserve expectations from rate cuts to potential hikes. While Goldman Sachs rules out a bubble due to earnings-backed fundamentals, the market faces heightened volatility risks from systemic leverage and potential macro triggers like 30-year Treasury yields breaching 5%.

Cracks in Private Credit

Howard Marks, Michael Arougheti, Amanda Lynam, Allison Nathan, Michael Arrighetti

After expanding to nearly $2 trillion in assets, the private credit market faces liquidity scrutiny driven by redemption requests against non-traded BDCs, though institutional capital remains insulated by lock-up structures. While exposure to software and AI sectors has raised concerns about potential defaults, experts like Howard Marks argue that senior lenders' first-lien positions and diversified portfolios remain resilient against systemic failure. Looking ahead, industry leaders predict a necessary credit cycle correction that will reallocate capital toward direct lending and opportunistic credit strategies, ultimately fostering a more circumspect investment environment.

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.

SaaS Challengers

AI coding tools have slashed software production costs by up to 100 times, dismantling the legacy code moats that once protected incumbent SaaS providers from competition. While investors have slashed billions from established market valuations, the analysis outlines four disruptive strategies for startups to target massive, untapped sectors like chip design and ERP systems. This shift marks a generational transition where new entrants can replace decades-old codebases of millions of lines with integrated, AI-native alternatives.

Industrial Capabilities in Space

Adi Oltjan

StarCloud co-founder Adi Oltjan outlines a strategy to build space-based data centers by extracting lunar raw materials like silicon, aluminum, iron, and titanium. The company plans to achieve superior efficiency through electrolysis and 3D printing technologies that process molten regolith without Earth's gravity constraints. Y Combinator is currently soliciting applications from founders developing similar industrial capabilities in the Moon and deep space sectors.

Hardware Supply Chain

The firm is accelerating investment in US hardware startups across medical devices, robotics, and space sectors to build a comprehensive stack for rapid iteration. This strategy directly addresses the significant speed disparity between US production cycles, which take several weeks, and the one-day turnaround available in Shenzhen. By prioritizing companies that tightly integrate design, manufacturing, and logistics, the initiative aims to close the competitive gap with early players like HLabs and Prototyping IO.

Riding the AI Wave

Anshul Sehgal, Chris Hussey

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."

Stanford CS153 Frontier Systems | Anjney Midha from AMP PBC on Frontier Systems

Anjney Midha, Mike

Instructor Anj Pransanjane guides a cohort of roughly 500 in-person and thousands of remote students through a course framing the current AI era as a "great transition" driven by $1.2 trillion in projected compute investments. The curriculum details shifting industry bottlenecks, such as the rising costs of H100 GPUs and the strategic importance of verifiable context, while urging participants to build asymmetric advantages in non-scalable personal niches. Ultimately, the program challenges students to identify the necessary standards and institutions to transform compute from a monopolized resource into a standardized commodity.

Startups That Sell to the Biggest Companies in the World

Over the past three years, YC-backed startups have secured multi-million dollar deals with Fortune 10 enterprises in their first year, reversing traditional market barriers through AI-driven development velocity and strategic necessity. Coding agents now allow small teams to build nuanced products for major corporations in months, rendering the historical stealth-launch model obsolete while triggering active engagement from enterprise leadership. Consequently, the investment firm is pivoting its strategy to prioritize backing for teams capable of targeting sales deals with the world's largest companies rather than focusing on long-term feature parity.

Supply Chain 2.0 for Semiconductors

The 2021 semiconductor shortage and evolving CHIPS Act investments have exposed critical visibility gaps in multi-tier supply chains that legacy enterprise software cannot resolve. A new market opportunity has emerged to build specialized "Supply Chain 2.0" solutions capable of managing TSMC's advanced packaging bottlenecks, export control volatility, and the unique complexities of wafer allocation. This initiative aims to replace fragmented legacy systems with real-time risk monitoring and compliance tracking tailored specifically for the semiconductor industry.

Dynamic Software Interfaces

Current software interfaces remain largely static and generic, yet the maturation of coding agents now empowers users to function as their own forward-deployed engineers for radical customization. To realize this future where shared primitives support wildly divergent front-end designs, the organization is calling on radical thinkers to redefine the software delivery stack and determine whether source code must replace packaged binaries. This initiative seeks to resolve critical architectural questions regarding how user-controlled agents can safely modify both visual elements and underlying middleware to match specific professional needs.