Can't we just fast-forward past the # aicrash and see what machine-learning applications will be
| Source: Mastodon | Original article
A new report from the Nordic Institute for Future Technologies (NIFT) has reignited the debate over an imminent “AI crash.” Published on 2 April, the study maps ten historical bubbles—from railways to dot‑coms—to the current generative‑AI surge, scoring each on capital inflow, hype intensity, regulatory lag and market saturation. Its headline conclusion: if funding dries up and regulatory pressure mounts within the next 12‑18 months, the sector could see a correction comparable to the early‑2000s internet bust, wiping out up to 30 % of AI‑related market cap.
The findings landed on X and LinkedIn with the hashtag #aicrash, prompting a wave of commentary that ranged from dismissive optimism—“just fast‑forward past the crash and look at profits ten years from now”—to stark warnings about talent loss and stalled innovation. The timing matters because venture capital has poured an estimated €45 billion into European AI startups this year, while public sentiment is already souring after recent overpromises from large‑model providers. Investors are now scrutinising unit economics more closely, and several Nordic funds have already signalled a shift toward “profit‑first” AI projects rather than speculative research.
As we reported on 26 Jan 2026, fears of an AI bubble echo the dot‑com era, but this NIFT analysis adds a data‑driven layer that could influence policy and capital allocation. The European Commission is expected to unveil its first AI‑specific antitrust guidelines in June, and the Nordic AI Index, launched last month, will provide a real‑time barometer of sector health. Stakeholders should watch for the upcoming EU regulatory package, the next round of corporate AI‑budget reviews, and the performance of the AI Index as early signals of whether the market will indeed “fast‑forward” or stumble into a correction.
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