Predictions indicate the AI bubble could burst or face a major correction between 2026 and 2027, as high infrastructure costs clash with low, slow-growing returns. While some analysts suggest a correction is already underway, others, including Benchmark’s Bill Gurley, anticipate a reset due to unsustainable investment.
Key Factors and Predictions:
Timeline: Many expect a significant market adjustment within 2–3 years (by 2027), with some predicting a crash as early as 2026.Root Causes: The bubble is fueled by immense capital expenditures on data centers—expected to exceed $1 trillion by 2028—and potentially low demand or slow adoption.
Profitability Concerns: Many AI companies currently burn cash, and it remains to be seen if they can survive without subsidized token costs.
Market Sentiment: According to a Polymarket poll, a significant number of traders are betting on a correction by the end of 2026.
If the expected high returns from AI fail to materialize by early 2027, a severe correction could follow, similar to past technology bubbles. However, a potential “soft landing” could occur if AI adoption slowly matures over decades.