The US AI industry faces conflicting pressures between calls for development pacing and aggressive investment. Goldman Sachs projects that five major US hyperscalers will invest $800 billion into AI infrastructure this year. Meanwhile, SoftBank recently launched a bond sale of $10 billion and €1 billion to fund its stake in OpenAI, following a $54.6 billion investment by July.
Proposals to slow AI development, supported by figures like Dario Amodei and Sam Altman, contrast with opposition from President Donald Trump and industry leaders like Jensen Huang. On September 29, a voluntary safety accord was signed, focusing on internal controls and audits rather than a collective pause. However, legislative efforts like the Ban Artificial Superintelligence Act seek to halt advanced development.
Economic data highlights the sector's importance, with a January St. Louis Fed analysis estimating that AI-related investment drove 39% of real GDP growth in the first nine months of 2025. The IMF projects that an investment reversal could trigger a 20% decline in US equity markets, while Fitch warns that a 35% equity shock could lead to a recession.
Experts remain divided on the impact of a potential slowdown. While the Bank for International Settlements estimates that current AI infrastructure investment is 1.5 times the socially efficient level, the Union Bank of Switzerland maintains its 2027 AI capex forecast at $1.2 trillion, representing a 33% increase from the $900 billion projected for this year.
