The AI bubble continues to take investors on a wild ride, with the latest whiplash materialising in a brutal public market selloff last week. Sifted outlines 7 ways the hype could collapse, ranging from regulatory crackdowns to a drying up of enterprise demand. Analysts warn that sky‑high valuations rely on speculative future revenues that may never materialise, while hardware shortages and energy constraints could throttle model training. A shift in investor sentiment toward profitability over growth could trigger a rapid re‑pricing of AI‑focused stocks.

Experts highlight that many startups are burning cash with no clear path to monetisation, and a wave of down‑rounds or shutdowns could cascade through the ecosystem. Additionally, geopolitical tensions over chip supply chains and data sovereignty add systemic risk. The article stresses that while AI’s long‑term potential remains intact, the current froth resembles previous tech bubbles where exuberance outpaced fundamentals.

Investors are advised to scrutinise business models, demand evidence of recurring revenue, and diversify exposure beyond pure‑play AI names. The piece concludes that a burst need not be catastrophic but would likely separate durable platforms from speculative ventures.