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THE RUNDOWN
You've probably noticed your company's org chart looks different than it did two years ago. Fewer manager titles, more people reporting straight up several rungs at once.
A new Korn Ferry survey of 15,000 professionals found 41% say their company eliminated a management layer in the past year.
AI agents are increasingly doing the coordination and status-update work that used to justify having a manager in the first place. That is reshaping the org chart itself.
Let's get into it.
Quick Signals
Oracle is trimming jobs team by team ahead of its new fiscal year. Even as it borrows tens of billions to build AI data centers, it already cut 21,000 people, 13% of its workforce, over the past year (Oracle layoffs).
Healthcare added 410,700 jobs since January 2025. That's nearly double the net job growth of the entire rest of the economy combined (healthcare hiring data). It's quietly the sector holding the labor market together.
Anthropic just posted its first profitable quarter. $10.9 billion in revenue and $559 million in operating income, two years ahead of its own timeline (Anthropic's first profit).
McKinsey shrank from 45,000 employees in 2022 to about 40,000 today. But it's still planning to grow North America headcount 12% this year, with junior roles up 20% (consulting's paradox). The firm is trimming its middle while widening its entry point.
OpenAI and Anthropic are facing new pressure over AI-enabled hacking incidents. Their tools got used in a string of hacks, adding security to the list of AI costs nobody priced in yet (hacking pressure).
Opportunity Flow
Hiring
OpenAI is reportedly doubling its headcount. The company plans to grow to about 8,000 employees by the end of the year, adding roles across engineering, research, product, and sales (OpenAI's hiring plans).
Microsoft is standing up a new AI unit. Thousands of engineers and salespeople are moving into Microsoft Frontier Co., backed by a $2.5 billion investment to work directly with enterprise clients on AI rollouts (Microsoft's new AI unit).
Funding
Firmus Grid raised $2 billion. Nvidia, Coatue, and Blackstone backed the round, pushing the AI data center builder's valuation past $10.5 billion (Firmus's $2B raise).
Whatnot raised $545 million. The Series G round values the live shopping marketplace at $20 billion, more than doubling its worth from its last round.
Contracts
The Army awarded M1 a potential $10 billion contract. The 26-year deal covers rotary-wing training under the Flight School Next program at Fort Rucker.
The Space Force awarded SpaceX $1.6 billion. The contract covers 18 military launches on Falcon 9 rockets through 2027.
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The Big Story
The management layer everyone forgot to defend
If your company has felt flatter lately, with fewer manager titles and more people reporting straight to someone several rungs up, you are not imagining it. A specific pattern is showing up across corporate America, and it has real numbers behind it.
A Korn Ferry survey of 15,000 professionals worldwide found 41% say their company eliminated a management layer in the past year. Recent restructuring at Meta, Citigroup, CrowdStrike, and GitLab has fueled the same conversation.
Cloudflare CEO Matthew Prince cut roughly 20% of the company's workforce while hitting record revenue. He described the eliminated roles as measurers, meaning middle management, finance, legal, and auditing, while protecting builders and sellers.
The reason traces back to AI agents taking over coordination work. A lot of traditional management time goes into status meetings and chasing updates, and that is exactly the kind of continuous, repeatable task software can now handle without a person in the loop.
The flattening is still concentrated at tech-forward companies for now, but there is a real risk buried in it. If AI keeps absorbing the early-career and coordination work that used to train future leaders, companies may be quietly cutting the pipeline that produces their next generation of senior talent.
Why it matters: If you manage people, your job is shifting away from status updates and coordination and toward judgment calls AI cannot make yet. If you are early in your career, mentorship and access to a manager may get harder to come by, so you will need to be more deliberate about seeking both out.
The org chart isn't just getting flatter, it's getting more honest about what actually needs a human.
Making Moves
The construction site is where the AI economy touches the ground
While the AI jobs debate plays out in office towers, the clearest wage gains from the AI buildout are showing up somewhere else entirely. Workers who switched jobs into construction in June saw pay jump 12.9% year over year, the highest of any sector tracked (construction wage data).
Median pay for people entering construction ran around $59,000, compared to $43,000 for job switchers moving into other fields, a gap of roughly $16,000. Part of that is CHIPS Act semiconductor plants and part of it is the AI data center boom itself: projects like OpenAI's Project Camilla in Georgia need electricians, welders, and systems installers, not just software engineers.
Layer on a demographic squeeze (a wave of experienced tradespeople hitting retirement age) and regional booms like Arizona's population growth outpacing its skilled labor supply, and you get a labor market where the fastest-growing paychecks belong to people who never touched a laptop for work. The AI economy needs a lot more than AI engineers to get built.
Why it matters: If you're weighing a career pivot and assumed AI only rewards more AI skills, the data says otherwise. The physical infrastructure AI runs on is creating some of the best-paying entry points in the job market right now, and most of them don't require a four-year degree.
Nobody puts on a hard hat expecting it to be the safest seat in the AI economy, but here we are.
Thinking about making moves yourself?
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Try This Out
The Builder vs. Measurer Self-Audit
Copy this into Claude or ChatGPT if you manage people (or want to get ahead of where management is headed):
Here is a list of my main responsibilities as a manager: [paste them]. Sort them into 'measurer' work (status updates, coordination, chasing information, reporting) and 'builder or seller' work (creating something directly, closing deals, solving problems no one else can). Then tell me which of my measurer tasks could realistically be handled by an AI agent today, and suggest 2-3 ways I could shift my time toward higher-judgment work that is harder to automate.Bonus for career switchers: if you want a free, structured way to build new credentials, Google's Cloud GEAR certification program is free (with paid exam vouchers waived on completion), and its next application window closes September 16 for an October start.
Predict This
Nvidia reports earnings on August 26. What happens to its AI infrastructure spending guidance?
A) Raises guidance again, capex keeps climbing
B) Holds steady, but flags slower cloud demand
C) Cuts guidance, the first real crack in the AI capex story
Last issue's prediction (Fed Chair Warsh's tone at Jackson Hole) is still on deck. He doesn't speak until August 27-29, so we'll grade that one once it actually happens.