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How AI Companies Hijack the Gartner Hype Cycle to Avoid Accountability

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The Gartner Hype Cycle describes the typical arc of a new technology, moving from initial excitement through inflated expectations, disillusionment, and finally stable productivity. Critics argue that AI companies deliberately disrupt this natural progression by releasing faster or cheaper model versions — branded as breakthroughs — just before a product matures into a commodity. This strategy resets the hype loop at Stage 4, allowing firms to restart overpromising without being held accountable for unresolved limitations like hallucinations, high costs, or missing features. The tactic also targets non-technical executives focused on cost-cutting rather than engineers who evaluate reliability. The result, according to this analysis, is that genuine technological progress is replaced by a repetitive marketing cycle that keeps users chasing promises rather than benefiting from stable, proven tools.

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