Microsoft canceled most Claude Code licenses due to cost concerns, while Uber leadership said AI costs are harder to justify. Some companies have spent extremely large sums when usage limits were not enforced. Layoffs are being framed as a way to offset AI expenses, and consumer sentiment and employee resistance are increasing. Enterprise adoption is moving toward more efficient AI use rather than tokenmaxxing. Many deployments automate low-value tasks instead of revenue-driving work, and even simple queries can generate significant token costs. AI also delivers uneven results across enterprise needs, with current reliability described as strongest for coding, creating higher IT spend without corresponding agent ROI.
"Microsoft canceled most of its Claude Code licenses, in part over costs, according to The Verge, and Uber's COO said AI costs are getting "harder to justify.""
"An AI consultant tells Axios one of their clients recently spent half a billion dollars in a single month after failing to put usage limits on Claude licenses for employees."
""Most people default to automating tasks they dislike rather than tasks most valuable to the company," Sophia Velastegui, CEO of Velastegui Ventures and former chief AI officer at Microsoft told Axios. Instead, they should focus on using AI to drive revenue."
""the reality of AI right now is that it only works for coding." That disconnect can drive up IT bills without leading to high return on investment in agents, he said."
#enterprise-ai-adoption #ai-costs-and-roi #token-usage-tokenmaxxing #workforce-and-layoffs #ai-use-cases-and-productivity
Read at Axios
Unable to calculate read time
Collection
[
|
...
]