Debate over calls to slow development of cutting-edge artificial intelligence models has intensified in recent weeks, raising concerns among investors. The discussion has been amplified by technology figures and politicians sounding warnings, while some industry leaders remain unconvinced about the potential risks.
Jim Morrow, chief executive of Callodine Capital Management in Boston, told Bloomberg: “People may not have fully grasped how strained the market and the economy are in all of this.” His remark underscores how tightly AI, the stock market and the US economy have become intertwined over the past years.
Why a slowdown matters
Over the last four years the economic stakes of AI have expanded sharply. Some estimates suggest AI-related spending accounts for roughly half of US GDP growth, a level comparable to internet investments during the dotcom era.
The market value of the S&P 500 rose by about $33 trillion since the AI boom began after OpenAI’s launch of ChatGPT in late 2022. Most of that gain came from companies whose futures are closely linked to AI: major tech firms investing hundreds of billions into additional data centers, chip and networking equipment manufacturers, power utilities and cooling-system makers.
Economic and financial channels
Calls to slow model development pose a new and meaningful risk because any sustained slowdown would likely reduce investment across the AI ecosystem. Anthony Saglimbene, chief market strategist at Ameriprise, said: “If AI development slows, that means investment is also likely to fall.” Lower investment would feed through to reduced profit expectations across the chain.
At the same time, financing costs have risen: the 10-year US Treasury yield has rallied to multi-decade highs above 5 percent, and the Federal Reserve has executed its first rate hike in three years, increasing the cost of capital for tech firms. The largest investors — Alphabet, Amazon, Microsoft and Meta — plan around $1 trillion in capital spending by 2027, and with free cash flow under pressure they are increasingly turning to debt and capital markets to fund those outlays.
Market concentration amplifies the risk
Heavy market concentration heightens vulnerability: Nvidia’s roughly 1,300 percent rally over the past four years contributed about 16 percentage points to the S&P 500’s performance by itself. A setback among the biggest AI winners could therefore trigger broader market weakness.
Signs of this sensitivity already appear: the Philadelphia semiconductor index SOX has lost momentum and stands about 19 percent below its June 22 peak after the emergence of slowdown concerns.
Divergent investor views
Despite the fears, many investors remain bullish and view current valuations and AI fears as overblown. Bob Edwards, CIO of Edwards Asset Management, said AI worries are large but have not yet manifested. “Companies are still performing well, and we will not sell our good positions solely because we don’t know what will happen,” he added.
Nevertheless, market participants warn that a prolonged deceleration in AI development would likely reduce investments and profit expectations, with broader economic consequences given the central role AI now plays.
Conclusion
The debate over slowing AI development is not merely a technical or ethical conversation; it has direct implications for the stock market and US economic growth. Market concentration, the scale of required investments and higher financing costs together raise the risk that a developer slow-down could produce meaningful headwinds for the wider ecosystem.
