AI Devouring the Web: 2026 Data Crunch on the Horizon

A recent study published in arXiv preprint warns of a looming data shortage for AI by 2026, Khaama Press reported yesterday.

AI models, hungry for vast amounts of text data, could exhaust all high-quality online information within two years. This “data famine” could force tech companies to explore alternatives: creating synthetic data or, worryingly, turning to private information.

The study suggests a slowdown in AI development by 2032 as reliable data shrinks. Job markets face disruption too, with AI potentially replacing routine tasks. Governments must step in to ensure ethical data use and mitigate risks, fostering responsible AI advancement while harnessing its potential.