Goldman Throws Cold Water On AI Hype, Moves Forward Datacenter Peak Forecast

From the unveiling of China’s ultra-cheap DeepSeek rival to ChatGPT to Microsoft’s global pullback on AI data center projects and Alibaba Chairman Joe Tsai’s warning about an AI infrastructure investment bubble in the U.S., the warning signals are flashing red: The AI data center boom may be set to deflate.

When the DeepSeek news broke in January, we outlined that the emerging “do more with less” theme—driven by more efficient large language models—could be enough for Goldman’s James Schneider, Michael Smith, and others to revise their peak data center capacity forecasts forward from late 2026.

And that’s precisely what the analysts did on Thursday. 

Schneider told clients that he updated his global data center supply/demand model, citing the impact of AI-related developments such as DeepSeek and new capacity announcements like OpenAI’s Stargate. He offered a new outlook that pulls peak data center occupancy forward to 2025 (from late 2026) and predicts a gradual loosening of the supply-demand balance through 2027. Despite this shift, occupancy rates are expected to remain above historical norms. 

The analyst outlined three key uncertainties for AI data centers: weak monetization from consumer-facing AI services, potential oversupply from large AI infrastructure projects, and increased efficiency from smaller, corporate-targeted LLMs.

Here’s more color on the data center peak occupancy revision from the analysts:

We update our data center supply/demand model for the latest updates we see to both supply and demand estimates over the past quarter:

• On the demand side, we have updated our data center demand growth forecasts by category on the back of our global technology team’s recent cuts to AI training server volume estimates. These estimate changes and adjustments to their view are tied to a more gradual pace of AI training demand, as well as the adoption of AI inference and the data center workload demand accompanying it. As a result, we have cut our near-to-medium term (2025 and 2026) demand growth expectations in the segments of demand most closely tied to AI. In addition, we made modest adjustments to our historical numbers to account for adjustments to historical data center supply tracking. The net impact of these changes resulted in a net increase to the baseline level of historical demand, but a net decrease to incremental demand over the next 18 months – with relatively unchanged demand trends in 2027 and beyond.

• On the supply side, one of our primary sources, 451 Research (subsidiary of S&P Global) has updated their datacenter supply estimates – both historically and in the forecast period. Our estimates have been updated to reflect the actual supply brought online late in 2024, as well as the addition of a number of small data center operators not previously tracked in our market forecasts. This results in a net historical increase of ~2 GW, one tied to historical supply baseline and one tied to actual capacity increases. In the long term, our estimate for data center supply coming online in 2030 increased by 8%, which is mainly tied to new planned capacity projects that have been validated since the initial introduction of our model.

Schneider’s previous peak data center capacity forecast was issued in January. 

The revised peak data center capacity forecast was issued on Thursday morning. 

Despite the revision, the analysts maintained a constructive view of data center operators like Digital Realty (DLR) and Equinix (EQIX), noting that the risk/reward profile has become more balanced amid tempered AI demand expectations.

Year-to-date, Goldman’s Power and AI baskets have been sliding ever since the Deep Seek moment in late January. 

What could go wrong?

A quick poll of GS clients: What is the biggest challenge to the AI theme in 2025?

A quarter of the respondents answered: “Efficiency Gains.” 

Recall that U.S. Treasury Secretary Scott Bessent sat down with Tucker Carlson last week, pointing out that the stock market turmoil started earlier this year with Deep Seek.

Bessent argues that market declines started with DeepSeek, so blaming Trump’s tariffs is silly. «It’s a MAG7 problem, not MAGA problem». Always someone else to blame.
R2 will be brutal, may even raise egg prices again… pic.twitter.com/9uSYYuwkwP https://t.co/7kyIsTB3CD

— Teortaxes (DeepSeek 推特铁粉 2023 – ∞) (@teortaxesTex) April 5, 2025

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