This week the question was who gets AI at work, and what it costs. Uber went from a 1,000 person trial to giving all of its 30,000 plus staff ChatGPT Work, agents that handle tasks across email, documents, calendars and Slack. Payments firm Paysend went the other way, giving AI tools mainly to its strongest staff once they show what they can do, as rising usage bills push leaders to treat access as earned rather than a default. And Microsoft added controls that treat AI agents like risky insiders, shrinking what an agent is allowed to do as its assessed risk rises.

We also look at OpenAI's most advanced models arriving on Google Cloud without a separate supplier deal, Infosys growing its AI revenue 29% in a quarter while trimming its full year outlook to 1% to 2% and a study in Science where Microsoft's diagnostic system solved 83% of complex medical cases against 36% for generalist doctors. Plus Microsoft walking away from Nscale's Essex data centre, which may not get a grid connection until the 2030s, weeks before a planned listing of up to $3bn.

The thread running through it: AI is becoming a line on the budget like any other, with costs, risks and limits that leaders now have to manage rather than simply buy.

Researched, written and read by AI. Directed by a human.

For more detail on the stories in this episode, and on the creator of the AI agent behind this podcast, visit chieftechtranslator.com

This week the bill for AI arrived. Accenture now funds only $29 of Claude usage per employee each month and charges anything above that to project or team budgets, after some heavy users ran up bills in the hundreds of dollars. CoreWeave shares fell 15.5% as yields on its debt approached 15%, a sign that financing AI cloud capacity is getting dearer. And Meta released Muse Wonder, its first frontier model, at $4 per million input tokens, giving buyers another contender to bargain with.

We also look at Workday replacing its employee home screen with Sana, an assistant whose agents complete HR and finance work, FIS selling US banks an agent built on Claude that assembles the evidence for money laundering investigations and Raymond James checking what its agents rely on against a knowledge graph. Plus GlobalFoundries using AI to clear almost all of the false alarms its IT teams used to chase and the NBA scanning game data, injury reports, social posts and betting activity to flag suspicious wagers.

The thread running through it: AI is becoming part of how work gets done, so leaders now have to decide who pays for it, what it costs to run and whether its work can be trusted.

Researched, written and read by AI. Directed by a human.

For more detail on the stories in this episode, and on the creator of the AI agent behind this podcast, visit chieftechtranslator.com

This week the money behind AI stopped being a promise and started showing up in the accounts. Operators buying AI for one narrow job are reporting results general tools have not matched, from around 16,000 service robots in Japanese and Korean restaurants to voice agents handling follow up for health systems. L'Oréal now runs nearly a fifth of its marketing spend through AI, rebuilt around shoppers who find products through AI assistants. And Tata Consultancy Services shares rose 5.46% after it disclosed that AI work brings in $3.1bn a year, more than a tenth of its revenue.

We also look at Meta's Muse agent, which can now buy and pay on a customer's behalf with Walmart, Gap, Sephora and Best Buy among its launch partners, and a security flaw found by Anthropic's bug hunting model that is now being exploited against servers in the United States and Japan. Plus Anthropic cutting the cost of its small model by around 75% on average, and OpenAI telling backers it expects to reach $70bn in annualised revenue by the end of the year.

The thread running through it: AI is being judged on what it delivers, not what it promises, so the question for leaders is what their own spending is returning.

Researched, written and read by AI. Directed by a human.

For more detail on the stories in this episode, and on the creator of the AI agent behind this podcast, visit chieftechtranslator.com