Goldman Sachs has released a new forecast predicting that major technology companies will spend $1.2 trillion on artificial intelligence infrastructure by 2027. This estimate places the bank significantly above the current consensus held by other Wall Street analysts.
What Happened
According to the report, the projected spending covers the period leading up to and including 2027. The figure represents a substantial increase over previous industry estimates, which had anticipated lower capital expenditures for AI-related hardware and data center expansion.
Why It Matters
The divergence between Goldman Sachs’ outlook and the broader market consensus highlights the uncertainty surrounding the scale of the AI buildout. If the $1.2 trillion projection holds, it suggests that Big Tech firms are preparing for a more aggressive expansion of compute capacity than many investors currently price in. This could signal sustained demand for GPUs and specialized AI chips, potentially reshaping expectations for hardware suppliers and infrastructure providers.
The Bottom Line
Goldman Sachs projects $1.2 trillion in AI infrastructure spending by 2027, a figure that dwarfs prevailing Wall Street estimates and underscores the massive scale of anticipated investment in the sector.