Microsoft went 51 years without ever offering voluntary buyouts. That streak ended last week. The same week, Nike cut 1,400 more jobs, the Fed's two-day meeting starts tomorrow, and a new study found that workers are quietly using AI to plan their next career move faster than their employers can keep up.

Let's get into it.

The Fed meets this week. The FOMC's two-day meeting starts April 28, with the decision dropping Tuesday afternoon. Markets are pricing a 99.7% chance of no change to the 3.5-3.75% rate. The real story is the statement language, specifically whether the Fed signals any timeline for cuts. J.P. Morgan expects zero cuts in 2026, with the first move pushed to Q3 2027.

Nike cut 1,400 jobs in its second round of 2026 layoffs. The cuts hit technology, manufacturing, and supply chain teams across North America, Asia, and Europe. It's part of CEO Elliott Hill's "Win Now" turnaround strategy after years of slumping sales. Combined with January's 775 cuts, Nike has shed over 2,100 roles this year.

New grads are finding jobs faster, but with a catch. 77% of 2025 graduates landed a job within three months of finishing school, up from 63% the year before, per ZipRecruiter. The trade-off: 1 in 5 say they're overqualified for the role they accepted, and 16% submitted 20-plus applications before getting a single offer.

AI fears are pushing more young adults into grad school. Nearly 78% of those considering graduate programs plan to enroll within 12 months, up from 69% a year ago. Experts call it "sheltering in higher education," a risk-management play while the job market stabilizes.

Gen Z is ditching corporate for entrepreneurship and gig work. With entry-level postings dropping to 38.6% of all listings (down from 44% in 2023), 38% of recent grads are considering starting a business. 57% already juggle side work like content creation, selling crafts, or freelancing.

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Microsoft has never offered voluntary buyouts. Not during the dot-com bust. Not during the 2008 financial crisis. Not during COVID. Not even last summer, when it laid off 9,000 people.

That changed on April 23, when the company announced its first-ever voluntary separation program for U.S. employees. About 7% of the domestic workforce (roughly 8,750 people) are eligible. The formula is called the "Rule of 70": if your age plus years of service add up to 70 or more, you qualify.

Details go out May 7. Employees at or below senior director level can opt in. Those on sales incentive plans are excluded.

The timing matters. This came the same week Meta confirmed 8,000 layoffs (10% of its workforce), and just months after Microsoft itself cut 9,000 roles. Together, that's 20,000 job cuts in a single week from two companies that are simultaneously spending hundreds of billions on AI infrastructure.

A buyout isn't a layoff. It's softer, more voluntary. But it signals something specific: Microsoft expects its workforce to look fundamentally different going forward, and it's willing to pay people to leave on good terms rather than force them out later. That's a company planning for a structural shift, not a quarterly cost cut.

Why it matters: When the company that survived every economic cycle for half a century without buyouts decides it's time, the message isn't about one company. It's about where large-company employment is heading. The AI investment boom and the workforce reduction wave are not separate trends. They're the same budget line.

The University of Phoenix Career Institute surveyed 5,000 U.S. workers and 1,000 employers for its 2026 Career Optimism Index. The headline finding: workers are not waiting for their companies to figure out AI. They're using it on their own to build skills, boost confidence, and position themselves to move.

75% of workers say AI increases their confidence at work. 81% say it helps them identify new ways to apply their skills. And 50% say they feel more ready to pivot to a new role because of AI.

The employer side is a different story. 62% of employers say their workers are developing AI skills faster than the organization can adapt. Nearly half (48%) worry they can't retain AI-fluent talent as demand grows.

The gap is significant. Workers whose employer has a clear AI strategy are far more satisfied (87% vs. 72% for those without one). But most companies don't have that plan yet. The result is a workforce that's quietly upskilling itself while employers scramble to catch up.

A separate poll of 4,000 workers found that highest-paid employees are adopting AI in daily work far faster than lower-ranked peers, creating a divide that threatens mobility for everyone else.

Why it matters: The best move right now isn't waiting for your company to offer AI training. The data says the workers who are building those skills independently are the ones who feel most ready for whatever comes next. The gap between "AI-fluent" and "AI-curious" is becoming a career mobility gap.

Open Claude or ChatGPT and paste this prompt:

Most people search for jobs by title. This flips it. You search by what you already know how to do, and let the model surface roles you might not have found through a standard job board search. If one of the results surprises you, follow up with: "What's the fastest way to close that skill gap in 30 days?"

Last issue's prediction: We asked about the FOMC statement. The meeting is this week, so we'll revisit the results in Wednesday's issue.

Building blocks of life on Mars - NASA's Curiosity rover found 7 never-before-seen organic molecules, including a nitrogen ring structure that's a precursor to RNA and DNA. The molecules are 3.5 billion years old. (CNN)

200-year geology mystery cracked - Scientists finally grew dolomite in a lab by dissolving structural defects with electron beam pulses, solving the "Dolomite Problem" that stumped researchers since the 1800s. The technique could improve semiconductor and battery manufacturing. (ScienceDaily)

Graphene broke a law of physics - Electrons in graphene flowed like a nearly frictionless liquid, violating the Wiedemann-Franz law by 200x. Scientists at IISc observed the effect at the "Dirac point," where graphene sits between metal and insulator. (ScienceDaily)