Around the world, scrutiny is growing over how companies spend on AI. While hyperscalers are ramping up capital expenditure on AI infrastructure and data centres, organisations are grappling with the rising costs of adopting AI technologies.

Heavy AI users are paying more, largely because agents require more computing resources. As developers’ roles evolve, large organisations are rethinking their AI spending, with many increasingly seeking returns on their investments.

“We offer enterprises and individuals a range of controls to understand how AI is being used by their teams, who is using it, and what they are doing, and to govern its use,” Jay Parikh, Executive Vice President of CoreAI, Microsoft, who also leads Github, told The Indian Express in an interview on the sidelines of GitHub Universe in San Francisco.

“If, for example, I have to allocate $100 per week to each of my developers, you can choose which models your organisation has access to, set spending limits, and access detailed reports.…