The AI Transformation Brief—October 27, 2026
The biggest AI sellers are booming while most companies still see no payoff, and employers are cutting staff before the gains arrive.
The AI Transformation Brief
// Today’s Signal
The money in AI is real, and so far it pools in a few places. Anthropic's IPO filing shows revenue up about 14-fold in a year. Fortune Apollo's chief economist finds no financial payoff yet for the S&P 500 outside the seven largest tech companies. TechCrunch Microsoft and the Dutch government are shrinking their workforces anyway. CRN The gap between the companies selling AI and the companies profiting from using it is now the central business question.
// Top Stories
Anthropic filed to go public on October 26 and plans to list on the Nasdaq as ANT. Anthropic Revenue rose about 1,300% to $16.3 billion in the first half of 2026. The $80.7 billion net loss is mostly a $72.4 billion accounting charge on convertible notes. In the second quarter it earned $2.08 in revenue for every dollar spent on computing. Its top five customers supplied about 25% of revenue, and nearly half of revenue flows through cloud marketplaces run by Amazon, Google and Microsoft. Fortune
The filing settles one question: an AI supplier can now earn well above its computing costs. The harder fact is dependence. Nearly half its sales run through Amazon, Google and Microsoft, and some of its biggest customers are also competitors. Fortune For buyers, the price and terms of your AI may already sit inside a cloud contract you signed years ago. Read your cloud agreements alongside your AI contracts, and ask each supplier how its own costs are trending.
Torsten Slok, chief economist at Apollo Global Management, wrote that AI has "delivered zero financial payoff to corporate America outside of tech." Revenue per worker and profit margins are rising at Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla, and are flat for the other 493 companies in the S&P 500, with no sign that AI is lifting productivity. TechCrunch He says mainstream companies are pulling back and starting to treat AI spending as a cost that weighs on margins. Apollo
Put this next to the Anthropic filing: AI suppliers are booming while most of their customers cannot yet show results in their numbers. Slok argues AI does not understand accountability, trust or unwritten rules, which still drive revenue. TechCrunch The companies that close that gap will change how the work is done and will measure the result. Pick three processes, record their cost and speed before AI, and report the change to the board each quarter.
Microsoft opened a voluntary exit offer on October 26 for eligible employees at level 70 and below in Canada, India, the United Kingdom and the United States, with participation varying by team. About 60,000 people, roughly 27% of its 223,000 employees and including senior leaders, qualify. They have until December to decide and would leave on December 31. CRN Divisions in the offer include Copilot, finance, human resources and Xbox, while security, marketing and the commercial business are excluded. HRD
Microsoft is reshaping its workforce while spending hundreds of billions of dollars to build AI data centers. If a share similar to its spring retirement program accepts, about 18,000 people would leave, CRN estimates. CRN Voluntary exits tend to lose the people with the best outside options first. Before offering one, name the roles you must keep and the work AI will take over, then make retention offers to those people.
The Netherlands said on October 26 it aims to cut about 25,000 central government jobs, saving €900 million a year by 2027 and €3.5 billion a year from 2035. Police and defense are exempt, while some ministries, inspectorates and agencies could see cuts of 45% or even 60%. The cabinet will present its AI plans in early 2027, alongside a program to scrap 500 rules a year. Headcount reached a record 160,000 at the end of 2025. The Straits Times
The Dutch plan pairs AI with fewer rules, which is the right order: simplify the work, then automate it. Its weak spot is timing. The job target is set now, and the AI plans arrive next year. The government also wants to work with Dutch and European suppliers to avoid depending on technology from elsewhere. The Straits Times Any company setting AI headcount targets should publish the process changes first and tie each cut to work that has already moved.
Ministers own the savings target, but no one yet owns proof that AI can do the work. Before each cut, someone should confirm the work has moved, and track whether service to residents holds up.
// Shelly Palmer Pulse
Palmer's October 23 post asks the question every AI buyer and investor should ask: "Are you creating a feature or creating a business?" He points to OpenAI launching a fast decision service that competes directly with a startup product that had spread quickly weeks earlier. Shelly Palmer Anthropic's filing shows the same pull: the biggest suppliers keep absorbing what smaller firms sell.
// What It Means For Your Business
Pick the three processes where AI must show results in the numbers this year.
Name an owner for each, record the starting cost and speed, and tie any headcount change to work that has already moved.
Profits are pooling with AI suppliers and their cloud partners while most buyers wait for results.
Expect suppliers to bundle AI into cloud contracts, and expect buyers with clear results data to win better prices.
Treat AI spending as an investment with a payback date.
Track cost per completed task against the old process, and stop projects that show no change in revenue or margins after two quarters.
Ask management for evidence that AI has changed revenue, margins or cost in at least one business line.
Approve workforce cuts only when the work they assume AI will do is already running.
// The Take
The shift this edition is that the leading AI supplier now earns well above its computing costs while most of their customers report no financial gain. The assumption it breaks is that buying AI produces returns on its own. The decision it forces is measurement: pick the work, record the cost before and after, and tie budgets and jobs to what moved.
If an outside economist studied your company next quarter, would your AI show up in the revenue line or only in the expense line?
Make AI accountable. Measure the results. Redesign the business.
Read On
The AI Transformation Brief—October 26, 2026
AI decisions are slipping below management's view, from fast supplier switches to staff uploads to software acting on its own.
Read the brief →The AI Transformation Brief—October 25, 2026
Employers and governments are writing the rules for AI at work, from job cuts to approved tools to protections for workers.
Read the brief →The AI Transformation Brief—October 24, 2026
The scarce parts of AI, from computing to safety testing to expert judgment, are concentrating with a few big suppliers.
Read the brief →