Morgan Stanley's research report exposes the most genuine anxiety in the AI industry: the bottleneck in computing power expansion is no longer chips, but electricity. The delivery time for transformers has extended from 12 weeks to 128 weeks, the backlog of new energy grid connections in the U.S. exceeds twice the installed capacity, there is a shortage of 300k electricians, and 43% of data centers are located in high water resource pressure zones—these figures are more worth paying attention to than any power growth curve.

When data centers shift from "suitable for building server rooms" to "areas where electricity can be quickly and stably connected," the site selection logic has completely changed. AI companies are beginning to directly participate in power asset investments, with off-grid solutions (gas turbines, energy storage, fuel cells) becoming alternatives. This is no longer a supporting issue but a core constraint of infrastructure.
For the crypto market, the signals are more subtle: the scarcity of computing power is strengthening, and participants with stable and deliverable computing power will gain greater pricing power. But this also means that the enthusiasm for AI narratives may accelerate the diversion toward energy-related assets rather than remaining at the token level.
The downside risk is that if the electricity bottleneck continues to exceed expectations, it could slow down the overall pace of AI infrastructure development, thereby suppressing market valuation premiums for AI themes. The other side of supply and demand mismatch is the amplification of expectation gaps.
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