Jim Covello
Showing 1–3 of 3 transcripts.
- Goldman Sachs10 min
AI: What Investors Should Know
Jim Covello, Sharmin Mossavar-Rahmani
Goldman Sachs analysts project that global AI capital expenditures will surpass $3 trillion by 2026, though they warn of distinct "earnings bubbles" in public markets and "valuation bubbles" in private sectors driven by unsustainable demand. While consumer adoption remains strong, enterprise integration faces hurdles due to data fragmentation, leading experts to predict a strategic shift toward specialized Small Language Models that prioritize efficiency over mass labor replacement. The investment landscape is further complicated by geopolitical divisions favoring the U.S. in chip infrastructure and China in model production, alongside concerns over circular financing practices that delay profitability for large-cap companies.
- Goldman Sachs26 min
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.
- Goldman Sachs28 min
A skeptical look at AI investment
Daron Acemoglu, Jim Covello, Alison Nathan
While Goldman Sachs projects generative AI could boost U.S. GDP by 6.1% over a decade, MIT's Darren Acemoglu and Goldman's Jim Covello warn that high infrastructure costs and technical limitations may restrict automation to less than 5% of tasks. Driven by fear of missing out in a competitive "arms race," major technology firms are currently pouring capital into GPU-heavy infrastructure despite the absence of a cost-effective "killer application," sparking concerns that the sector mirrors the overbuild of the 2000 internet bubble. Analysts emphasize that the next 12 to 18 months serve as a critical inflection point where the emergence of tangible business use cases will determine whether this trillion-dollar investment cycle results in sustained productivity gains or a sharp correction in valuations.