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

This week the bill for AI came into view. Anthropic's listing prospectus seeks a valuation above $2tn and shows revenue up twelvefold to almost $4.6bn, against heavy losses and at least $518bn of planned infrastructure spending, a sign that today's model prices are still subsidised. On the other side of the ledger, Bank of America says its virtual assistant has handled 3.6 billion interactions that would otherwise need 11,000 more staff, and Barclays has set a public target of half its developers on Anthropic's coding assistant by the end of the year.

We also look at Robinhood putting autonomous trading agents in front of 29 million customers, insurers blaming hospitals' AI claims coding for $942m of extra health spending, OpenAI's new marketplace that lets companies spend an existing commitment on partners' software and Anthropic's $100m to train 10,000 engineers at consultancies including Accenture, Deloitte and McKinsey. Plus Nvidia releasing free safety controls for AI agents and Microsoft warning that attackers now exploit a flaw in under a day while most firms take 30 to 60 days to patch.

The thread running through it: the returns are starting to be counted, but so are the costs, and leaders building multi year business cases should assume the price of AI will not stay where it is.

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