Artificial intelligence may be entering the "Trough of Disillusionment," a phase where initial hype gives way to the realization of limitations. Key bottlenecks include datacenter buildouts, which are projected to meet only half of the demand in 2026. This disillusionment is expected to manifest through increased prices, potential declines in output quality due to compute constraints, and selective access favoring high-paying customers or governments. These issues are anticipated to become more pronounced over the next two years, impacting various industries. AI
IMPACT AI adoption may slow as users confront limitations in quality, price, and access, challenging current growth trajectories.
RANK_REASON The item discusses a theoretical framework (Gartner Hype Cycle) applied to the current state of AI, rather than reporting a specific event.
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