Chris Wood Expresses Concerns on AI Investment Sustainability
Chris Wood, the Global Head of Equity Strategy at Jefferies, has articulated grave apprehensions regarding the sustainability of current investment patterns in artificial intelligence (AI).
He posits that the prevailing trend may be on the brink of implosion, largely due to a pivot towards debt financing amidst an impending risk of funding disruptions.
In a recent dialogue with CNBC-TV18 on Thursday, Wood articulated unease over the substantial capital being allocated to AI by U.S. hyperscalers, projecting an astronomical figure approaching a trillion dollars in expenditures next year.
He cautioned that such elevated investments might not generate returns commensurate with the capital injected. “I foresee a considerable annihilation of capital in the U.S. market,” he remarked.
Nevertheless, Wood noted that semiconductor stocks may continue to thrive, provided the market refrains from scrutinizing capital expenditures “too aggressively.”
The Equity Head also highlighted a notable transition in funding paradigms. Initially, these ventures were predominantly backed by cash; however, three and a half years into this trajectory, debt is now becoming a significant vehicle for financing.
Wood warned that a market shift to retract credit could abruptly derail this trend. Although he did not delineate a specific timeline for such an eventuality, he underscored the critical necessity of vigilant oversight regarding market dynamics.
“A seemingly innocuous news item could instigate widespread doubts about this entire cycle,” he cautioned.
He further asserted that the paramount macroeconomic challenge facing stock markets today is the forecast pertaining to AI capital expenditures.
Hyperscaler AI Expenditure Approaches $1.2 Trillion
Recently, economist Torsten Slok indicated that U.S. hyperscaler AI capital spending may soar to 3.1% of gross domestic product (GDP) by 2027.
Such a trajectory implies that the current AI capital expenditure race could potentially triple in magnitude relative to the economy.
Over the forthcoming 12 months, hyperscalers are anticipated to allocate approximately $916 billion, surging to nearly $1.2 trillion the subsequent year.
Current consensus projections reveal that six prominent U.S. hyperscalers — Amazon.com Inc. (NASDAQ: AMZN), Alphabet Inc. (NASDAQ: GOOGL), Microsoft Corp., Meta Platforms Inc. (NASDAQ: META), Oracle Corp. (NYSE: ORCL), and Space Exploration Technologies Corp. (NASDAQ: SPCX) — could cumulatively expend around $916 billion in the next year, with expenditures likely to escalate to approximately $1.17 trillion in the following 12 months.
Despite growing advocacy for a slowdown in AI advancements, sustained capital investment by major technology firms may foster continued growth in this sector.
Portfolio manager Hendi Susanto of Gabelli Funds suggests that even if leading AI laboratories such as Anthropic and OpenAI exhibit caution in their evolution, “second- and third-tier players” will undoubtedly strive for advancement, thereby sustaining robust demand for AI infrastructure.
Source link: Benzinga.com.
