You've probably noticed that almost every layoff headline lately is a bank or a software company. Microsoft just cut 4,800 people, most of them out of Xbox. Turns out that's not a coincidence: new data shows finance and tech are now the only two sectors losing jobs to AI every month, while a labor shortage is building just outside those two industries.

Today I'll break down which two sectors are actually shrinking, where the hiring is happening instead, and what to do with that if you're in one of the shrinking ones.

Let's get into it.

Microsoft cut 4,800 jobs this week, and Xbox took the hardest hit. The cuts amount to about 2.1% of Microsoft's global workforce, with roughly 3,200 of them tied to Xbox as the company closes or spins off four game studios. Microsoft says this isn't a direct AI-for-headcount swap, but it lands the same week the company is pouring tens of billions into AI infrastructure elsewhere.

SpaceX joined the Nasdaq-100 on Tuesday, the first company to enter the index under newly created "fast-track entry" rules built for mega-IPOs. It's a small piece of index plumbing, but it's a preview of how fast this year's record run of giant IPOs is going to reshape which companies show up in everyone's index funds.

A German drone maker just doubled its valuation in eight months. Quantum Systems raised $1.2 billion in a Series D at an $8 billion valuation, co-led by Blackstone, Airbus, and Advent. The company builds autonomous defense drones and plans to use the money to scale manufacturing and its AI/software teams.

Norm AI raised $120 million in a Series C led by Khosla Ventures to build AI agents that handle legal and regulatory compliance for banks, insurers, and other regulated industries. Compliance is one of the more tedious, headcount-heavy corners of those companies, which makes it an obvious target for this kind of tool.

The FAA handed out $1.776 billion in airport infrastructure grants across 46 states, funding runway, terminal, and safety upgrades nationwide. It's a reminder that while tech headlines dominate the week, the federal government is still writing very large, very boring checks that turn into very real construction and project-management jobs.

Air Design used to spend hours every day manually calling their 600 members to schedule seasonal tune-ups.

They turned on Podium's AI Membership Coordinator. It contacted 471 members, booked 187 jobs, and generated $24,000 in revenue.

Across home services, the story repeats.

Magnolia Plumbing cut invoice-to-payment time to 6 minutes and saved 60 hours of admin work every month.

This is what Podium's AI Operating System does: phones answered, jobs booked, invoices collected — automatically, without adding headcount.

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Bloomberg's new analysis of government payroll data found something specific. The financial-activities and information sectors, the two industries that adopted AI tools fastest, are now shedding a combined 28,000 jobs a month on average in 2026. That's not a one-month blip, it's been the pattern all year.

Census Bureau survey data backs up why. Nearly 40% of information-sector firms and 34% of finance and insurance firms now use AI tools, compared to a 19.8% national average. AI has driven 101,743 layoffs so far this year, roughly 23% of every cut Challenger has tracked.

You saw a live example of this on Monday. Microsoft cut 4,800 jobs, about 2.1% of its workforce, with roughly 3,200 of those coming out of Xbox as the company closes four game studios. Microsoft says it isn't a direct AI-for-headcount trade, but the timing lines up with a company pouring tens of billions into AI infrastructure while trimming almost everywhere else.

Here's the part that gets lost in the headlines. The rest of the labor market created more than 113,000 jobs a month on average through May. Finance and tech's AI-driven cuts are dragging down an otherwise solid number, they aren't defining it. Most sectors are still hiring.

Why it matters: If you're in finance or tech and haven't felt the squeeze yet, the data says you're sitting in the two industries most likely to feel it next. The move probably isn't out of the field entirely, it's toward the parts of it AI can't easily touch yet, like implementation, vendor management, and the physical infrastructure AI itself runs on. More on exactly where that's happening below.

While finance and tech shed headcount, the industry building the physical infrastructure AI runs on can't find enough people. Hyperscalers including AWS, Microsoft, Google, Meta, and Oracle committed more than $300 billion combined to data center construction in 2024 and 2025, and most of that money is now landing in the field.

The result is a labor shortage: 439,000 open positions as of late 2025, concentrated in roles like MEP-experienced estimators and commissioning engineers. Those are hybrid technical-and-project-management roles, and they're paying up to 30% above typical construction wages because the candidate pool is genuinely small. Data centers overall are projected to generate 4.7 million temporary construction jobs and roughly 697,000 permanent operating roles once built.

Why it matters: The AI economy needs people to build and run its physical footprint just as much as it needs the people it's automating out of finance and tech. If you're being pushed out of one of those two sectors, the fastest-growing adjacent lane right now isn't a new degree, it's program management, commissioning, and vendor coordination roles inside the buildings AI actually runs in.

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Before you touch your resume, run this prompt in Claude or ChatGPT:

"I currently work in [your role/industry]. Data center construction, defense tech, and AI infrastructure companies are hiring aggressively right now, especially for program management, vendor coordination, commissioning, and operations roles. Based on my background in [list 3-5 of your actual skills and tools], identify which of these adjacent industries I'm most qualified to pivot into, what specific job titles to search for, and what 1-2 skill gaps I'd need to close first."

Then take the job titles it gives you and search them on LinkedIn filtered to the last 7 days. You're looking for language overlap between what you already do and what they're asking for, that overlap is your fastest path in.

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