Two more household names cut headcount this month. Uber laid off about 3,300 people, 10% of its global staff, as part of a restructuring that flattens management, shrinks any team down to one or two people, and ends remote work for all but a sliver of employees. Then on September 14, Oracle sent another round of 6am termination emails, its latest cut after shedding 21,000 jobs in the fiscal year that ended in May.
The gap that matters more than the layoff count
Dice's August jobs report came out the same week, pulled from over 7 million U.S. postings. It found AI and machine learning job postings up 101% year over year. Overall tech postings, every category combined, grew 18% in that same stretch. AI hiring is running more than 5 times faster than tech hiring as a whole.
Retail posted the biggest month-over-month jump in tech postings, up 18% in August alone. Zoom out to the year-over-year numbers and manufacturing, software, consulting, tech, and retail all grew more than 30%. Three of those five aren't software companies. They're building out AI-driven pricing, inventory, and customer service, and they need cloud and ML people to do it.
Uber and Oracle are software-first companies cutting people this month. Retail chains and manufacturers are hiring cloud and AI talent to bolt automation onto businesses that were never software companies to begin with. The big tech layoff tracker only covers one side of that.
200+ Proven Ways to Make Money With AI in 2026
The next wave of millionaires will be people who figured out how to make AI work for them.
The window to get ahead is still open. But not for long.
Here are 200+ proven ways to make money with AI in 2026.
Sign up for Superhuman AI, the free daily newsletter read by 1M+ professionals, and get instant access to all 200+ ways to profit from AI this year.
What to do with this if you're job hunting
Widen your search past the logos you'd normally apply to. A regional retailer or a manufacturer building out an AI-driven supply chain project needs the same AWS, Azure, or GCP skills you'd put on an application to Uber, just with fewer people applying because fewer job hunters think to look there.
Search job boards by skill instead of by company type this week. Pull up "cloud engineer" or "ML pipeline" postings and filter by industry instead of defaulting to tech company results. LinkedIn's job search has an industry filter under "All filters," and Indeed's advanced search does the same thing. You'll find postings at grocery chains and industrial manufacturers you'd never have thought to check.
If you already work in retail, manufacturing, or finance IT, don't undersell that experience. A cloud migration at a manufacturing company counts for just as much as the same project at a tech startup, and right now you're sitting in one of the fastest-growing hiring pockets in the country.
This connects to the two-speed market we flagged with the Rackspace story a couple weeks back. Then it was senior AI infrastructure roles filling in weeks while generalist postings sat open for months. This week's data shows the same split by industry. Retail, manufacturing, and finance are absorbing cloud and AI hires while some of the biggest tech names shed them.
Keep Learning and Building.