Corporate America is pulling back on AI investments as expenses balloon and the promised returns fail to materialize. A new analysis from Ranjan Roy, published by Big Technology via Crypto Briefing, warns that the hype around generative AI is actively blocking meaningful progress. The report claims 82% of token spending — the funds allocated for AI-related tokens and infrastructure — doesn't yield productive outcomes.
The cost crunch
Companies that rushed to deploy AI are now facing bills that outpace any measurable gain. The analysis describes a situation where firms are rationing their use of AI tools, scaling back projects that were greenlit just months ago. The numbers aren't pretty: the vast majority of capital poured into AI tokens is essentially wasted, according to the report.
Why hype hurts
Roy argues that the noise around generative AI has created a distorted incentive structure. Instead of building tools that solve real problems, teams chase the latest buzz. This means resources get funneled into flashy demos rather than products that can actually cut costs or drive revenue. The result? A lot of spending, little to show for it.
The token spending gap
The 82% failure rate is a stark figure. It covers everything from compute credits to governance tokens tied to AI platforms. The analysis doesn't name specific companies, but the implication is clear: most corporate AI initiatives aren't delivering. The report stops short of prescribing solutions, but it does suggest that the current hype cycle is making it harder for serious projects to get funded.
The analysis was published by Big Technology and picked up by Crypto Briefing. Roy's work adds to a growing chorus of skepticism about the near-term ROI of enterprise AI. For now, the rationing looks set to continue.
