The biggest layoff of 2026 just landed, and it tells you everything about where the economy is headed. Oracle slashed up to 30,000 jobs, then announced billions in new AI data center investments the same week.

Meanwhile, the February JOLTS data shows the hiring rate just hit its lowest point since COVID. Companies are posting jobs but not filling them.

Let's get into it.

Oracle announced it is cutting thousands of employees globally as the company deals with a falling stock price and massive capital commitments to AI infrastructure. The cuts could reach 20,000 to 30,000 positions across the U.S., India, and Mexico.

TD Cowen analysts estimate the layoffs could generate $8 billion to $10 billion in incremental free cash flow, which the company plans to funnel directly into AI data centers. The same week the layoffs were announced, Oracle committed to billions in new AI infrastructure spending.

Why it matters: This is the clearest example yet of a company cutting human jobs to fund AI investment. It's not a pivot, it's a trade. Workers out, compute in.

The Bureau of Labor Statistics JOLTS report for February shows the hiring rate fell to 3.1%, the lowest since April 2020. Employers posted 6.9 million openings but only filled 4.8 million of them. The gap between postings and actual hires keeps widening.

The quits rate has been stuck at or below 2.0% for eight consecutive months, dropping to 1.9% in February. Workers aren't quitting because they don't have better options lined up. Indeed Hiring Lab described the labor market as "stuck in neutral."

Why it matters: The headline unemployment rate looks stable, but the JOLTS data tells a different story. Companies are posting roles but not pulling the trigger on hires. Workers are staying put because there's nowhere better to go. That's not stability, that's stagnation.

Mercer's survey of more than 1,000 U.S. organizations found that employers plan to hold total salary increases at 3.5% for 2026, the same as 2025. Merit increases specifically are projected at 3.2%. And 83% of employers said they'd distribute raises equally across the organization rather than targeting high-demand skills or critical roles.

Healthcare and retail are even lower, at 2.9% merit increases. Financial services, energy, and high-tech are slightly higher at 3.7%. HR Dive called the flat budgets a "disconnect" between what employers are offering and what workers expect.

Why it matters: A 3.5% raise against 2.7% inflation means your real wage growth is under 1%. And if your company is spreading increases equally instead of rewarding performance, high performers are effectively subsidizing everyone else.

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New research from Goldman Sachs economists shows AI eliminated roughly 25,000 jobs per month over the past year through automation, while creating about 9,000 through augmentation, for a net loss of 16,000 positions per month.

Gen Z workers are taking the biggest hit. They're disproportionately concentrated in the routine, white-collar roles that AI handles best: data entry, customer service, legal support, and billing. Goldman's analysis found that a one standard-deviation increase in AI exposure widens the entry-level wage gap by about 3.3 percentage points.

Why it matters: This is the first major bank to put a monthly number on AI-driven job loss. 16,000 net jobs per month isn't catastrophic, but it's steady and real, and it's falling on the people with the least experience to absorb the blow.

A National Bureau of Economic Research survey of 750 U.S. chief financial officers found that 44% plan AI-related job cuts in 2026, translating to roughly 502,000 roles. That's a 9x increase from the 55,000 AI-attributed layoffs reported last year.

The survey, conducted in partnership with the Federal Reserve Banks of Atlanta and Richmond, found that about half of those cuts will hit white-collar roles. The study's co-author, Duke professor John Graham, told Fortune it's "not the doomsday scenario" that headlines suggest, but the trajectory is clear.

Why it matters: When CFOs are telling researchers behind closed doors that AI cuts will jump 9x, that's a planning signal, not a prediction. They're not guessing. They're budgeting for it.

Companies are using AI efficiency gains to pile more work onto the same employees, not to give them their time back. One CTO told Fortune his team went from eight hours of work to two, but management responded by assigning 20 hours of tasks instead.

An ActivTrak study of 10,584 users found that after AI adoption, time spent across every job responsibility shot up 27% to 346%. And a separate BCG survey found that workers using four or more AI tools actually reported lower productivity than those using three or fewer, a phenomenon researchers are calling "AI brain fry."

Why it matters: AI was supposed to give you your afternoons back. Instead, it gave your boss a reason to expect three times the output. If you're feeling busier than ever despite having better tools, you're not imagining it.

The number of Americans holding multiple jobs simultaneously has climbed to 8.9 million, the highest since 1994. Nearly half of U.S. workers (47%) now engage in polyworking, holding two or more jobs, projects, or gigs at the same time, according to a Harris Poll survey.

The split in motivations is interesting. 51% say the extra income is "absolutely essential" to cover basic expenses. But 43% say they could be paid well enough by one job and would still choose to work multiple. Gen Z leads at 38%, compared to 31% of Millennials and 20% of Gen X.

Why it matters: This isn't just about money anymore. For a growing chunk of the workforce, holding one job feels like putting all your eggs in one basket. Polyworking is becoming a risk management strategy as much as an income strategy.

If your job search feels longer than it should, the data backs you up. Industry data from outplacement firms shows the average time to find a new tech role is 3 to 6 months for experienced engineers. For senior and executive positions, it's 6 to 9 months.

The Conference Board's Employment Trends Index declined in March, and the share of Americans who say jobs are "hard to find" has risen five percentage points over the past year. Meanwhile, hiring is happening, but it's slower and more selective than it was during the 2021-2022 boom.

Why it matters: A 6-month job search isn't a failure. It's the new normal for most mid-to-senior professionals. Plan for it financially and mentally, and don't take a slow timeline as a sign something is wrong with your application.

If you're between jobs or looking to level up, two of the biggest names in tech are offering free training programs worth knowing about.

Google Career Certificates (available on Coursera and Google Career Skills) cover Data Analytics, Digital Marketing, Project Management, IT Support, UX Design, and a new AI Professional Certificate. Each program takes 3-6 months. Over 150 companies, including Deloitte, Target, and Verizon, have committed to considering graduates for entry-level roles.

Microsoft Learn offers 3,600+ courses with 3,200 currently free. In February 2026, Microsoft released four new certifications and six new Applied Skills credentials focused on AI and cloud. Watch for their Virtual Training Days and Cloud Skills Challenges for free exam vouchers.

Why it matters: Free doesn't always mean valuable, but these programs have real employer backing and teach skills that show up in actual job postings. If you're investing time in upskilling, start here.

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Use AI to build your raise case. Pull your current market rate from Levels.fyi, Glassdoor, and Payscale. Then paste the data into ChatGPT or Claude and ask it to draft talking points for a compensation conversation. Include your specific accomplishments, your market data, and the tone you want.

Most people skip the raise conversation because they don't know what to say. Let AI handle the script so you can focus on the delivery.

Boston Consulting Group projects that 50-55% of U.S. jobs will be reshaped by AI within two to three years, but only 10-15% will be eliminated. The study warns that companies cutting beyond what AI can actually deliver will see productivity drop and talent leave. The winners will redesign roles, not just eliminate them.

Why it matters: "Reshaped" is doing heavy lifting here. Your job title might survive, but what you do all day could look completely different by 2028.

Despite 54% of Fortune 100 companies now requiring full-time office attendance, 80% of those companies have already lost talent because of it. Fully flexible companies grew revenue 1.7x faster than mandate-driven firms between 2019 and 2024, according to a Bureau of Labor Statistics analysis. And 64% of remote workers say they'd quit or start looking if their employer dropped flexibility.

Why it matters: The gap between what executives believe about office mandates and what the data shows keeps widening. If you're job hunting, companies with flexible policies aren't just nicer places to work. They're growing faster.

Among hybrid workers, the number of required in-office days keeps climbing. 34% of hybrid employees now go in four days a week, up from 23% in 2023. Five-day mandates are expected to rise to 30% of companies in 2026, while three-day hybrid models drop to 25%.

Why it matters: If your company promised "hybrid forever," watch the fine print. The trend is clear: companies are slowly walking back flexibility one day at a time.

That's it for today. If any of this changed how you're thinking about your next move, forward it to someone who needs to see it.

See you Friday.