By now, you have probably seen the headlines. Oracle. Amazon. Meta. Dell. Tens of thousands of jobs cut, and a lot of understandable concern about what it means. We hear it from clients every week.

What those headlines rarely show you is the rest of the picture. When you look at where the capital is actually flowing, where new roles are being created, and how the pieces fit together, a very different story emerges, one that is a lot more encouraging than the news cycle suggests.

This is not a collapse. It is a reallocation. And every time the economy has gone through a shift like this, it has come out the other side more productive, more innovative, and better compensated. That is not optimism. That is history.

By the Numbers

113,863 Tech jobs cut in 2026 YTD As of May 18, 2026

170M New jobs projected by 2030 World Economic Forum estimate

+78M Net new jobs by 2030 After 92M displaced globally

What Is Actually Happening

For roughly a decade, the biggest tech companies hired like crazy. Low interest rates, explosive growth, and pandemic-fueled digital demand meant headcount doubled every few years. When internet rates rose and growth normalized, something had to give.

Now layer in artificial intelligence. The companies doing the most cutting right now are the exact same companies making the biggest bets in AI infrastructure. That is not a coincidence.

Here are a few numbers that rarely get mentioned in the same breath as the layoff stories:

• Amazon trimmed roughly 16,000 roles in 2026 while pouring $43.2 billion into capital spending in a single quarter. AWS is growing at its fastest pace in 15 quarters.
• Alphabet cut approximately 1,500 positions while its Google Cloud backlog nearly doubled to $462 billion and Q1 capital spending hit $35.7 billion, more than double the prior year.
• Meta is cutting about 8,000 jobs this spring. At the same time, it raised its 2026 capital spending guidance to between $125 billion and $145 billion. That is four to five times what Meta spends on its entire workforce.

Let that last one sink in for a second. Meta’s total employee compensation runs about $27 billion. Their AI infrastructure budget is more than five times that number. Mark Zuckerberg said it himself at a company town hall: the layoffs exist because the AI buildout has to be funded. The workforce is being resized to make room for the next generation of computing. That is a very different story than the one the headlines are telling you.

Where Labor Is Going

Here is the part that almost never makes the news: the displaced workers are landing somewhere. And the data on where they go tells a pretty encouraging story.

Into AI-Focused Companies

While the legacy tech giants are trimming, AI-native companies are hiring at a record pace. Anthropic, OpenAI, Nvidia, Anduril, Palantir and dozens of others are actively growing. Job postings requiring AI skills are growing nearly 7.5% year over year even as total job postings have declined. That is not a shrinking job market.

Into the Broader Economy

This is not just a Silicon Valley story anymore. Small and midsize businesses across the country increased their AI adoption from 14% in 2023 to 55% in 2025. Every single one of those businesses needs people to implement, manage, and work alongside the technology. That demand is creating a whole new layer of jobs that runs far beyond the Fortune 500.

Into Better-Paying Roles

Workers who build AI skills are not just finding new jobs. They are finding better ones. People with AI proficiency earn an average of 28% more than peers without those skills. In some specialized roles that premium hits 56%. Amazon has already upskilled over 700,000 employees globally through training programs, and just committed another $2.5 billion to keep going. Companies are investing in their people because they have to.

Across the Globe

India is seeing a 42% year over year boom in AI employment. The UAE and Singapore are among the world leaders in AI adoption. The World Economic Forum projects that emerging markets will capture more than a third of all new AI-related roles. This is one of the broadest expansions of economic opportunity we have seen in a generation.

The Long View: Labor Always Moves to Where It Is Needed

Let us put this in perspective, because this is not the first time we have been here.

When the automobile replaced the horse and carriage, hundreds of thousands of stable hands, carriage makers, and feed merchants lost their livelihoods. What followed was a complete rebuilding of the American economy around a new technology. Manufacturing, road construction, oil production, and an entirely new way of living created more jobs than the carriage industry ever could.

Farm mechanization knocked agricultural employment from over 40% of the workforce down to under 2% across the twentieth century, yet those workers did not disappear. They moved into factories, offices, and service industries that had not existed before.

The pattern holds every single time. Technology displaces specific categories of work. Then it creates new demand for human effort in ways nobody fully predicted. The World Economic Forum projects that by 2030, 170 million new jobs will be created globally while 92 million are displaced, for a net gain of 78 million positions. The question has already shifted from ‘will AI take jobs’ to ‘how are jobs changing.’ That is a meaningful difference in how we should be thinking about this.

Does this mean the transition is painless? No. Entry level roles and routine tasks are absorbing the most disruption right now. Workers mid-career face real challenges pivoting their skills. Those are genuine costs and we are not going to pretend otherwise.

But if you are an investor thinking in decades and not quarters, what you are watching is not a contraction. You are watching a restructuring. Labor is moving to where it is most needed and most rewarded. That is exactly what a healthy economy looks like in motion.

What This Means for Your Portfolio

The same companies generating the layoff headlines are also attracting the largest capital commitments in corporate history. Amazon, Alphabet, Microsoft, and Meta are together investing over $725 billion in AI infrastructure this year alone. The AWS backlog stands at $364 billion. Google Cloud’s backlog nearly doubled in a single quarter to $462 billion. Microsoft is carrying $392 billion in remaining performance obligations. These are not speculative bets. These are signed contracts. The customers have already committed.

For long-term investors, here is what we think you should hold onto:

• The AI infrastructure buildout is a multi-decade capital cycle, not a quarterly story. The investors who win these cycles are the ones who stay patient and stay in.
• Wage premiums for AI-skilled workers tell you where productivity gains are concentrating. Productivity gains drive earnings. Earnings drive returns.
• Diversification still matters as much as ever. This transition is creating winners and losers within industries.
• Human capital investment is going to be one of the most durable sources of value in an AI-powered economy. That includes your own skills and the companies that invest seriously in their people.

A Final Word

The economy is doing exactly what healthy economies do. It is moving capital and labor toward where they can do the most good.

The workers losing jobs in legacy roles are not leaving the economy. They are entering a transition. And the investors who have come out ahead through every major transition in history are the ones who stayed the course, stayed diversified, and kept their eyes on the horizon instead of the headlines.

We are here to help you make sense of all of it. Reach out anytime.

Written by: Steven C. Dengler, CFP®

Sources

1. Challenger, Gray & Christmas — Job Cut Report, April 2026. Tech layoffs YTD: 113,863 as of May 18, 2026. AI cited for 49,135 cuts. Overall U.S. layoffs down 50% YTD. https://www.challengergray.com/blog/category/job-cuts-report/

2. World Economic Forum — Future of Jobs Report 2025, January 8, 2025. 170M new jobs created, 92M displaced, net gain of +78M by 2030. https://www.weforum.org/press/2025/01/future-of-jobs-report-2025-78-million-new-job-opportunities-by-2030-but-urgent-upskilling-needed-to-prepare-workforces/

3. Amazon.com — Q1 2026 Earnings Press Release, April 29, 2026. Cash CapEx $43.2B; AWS revenue +28% YoY (fastest in 15 quarters); AWS backlog $364B. https://www.aboutamazon.com/news/company-news/amazon-earnings-q1-2026-report

4. Alphabet Inc. — Form 10-Q, SEC Filing, March 31, 2026. Google Cloud backlog $462.3B; Q1 CapEx $35.7B; Cloud revenue +63% YoY. https://www.sec.gov/Archives/edgar/data/1652044/000165204426000048/goog-20260331.htm

5. TechTimes — “Tech Layoffs Surpass 113,000 in 2026,” May 18, 2026. 825 tech job cuts per day on average; 179 layoff events tracked YTD. https://www.techtimes.com/articles/316802/20260518/tech-layoffs-surpass-113000-2026-no-federal-law-requiring-ai-disclosure.htm

6. PwC — 2025 Global AI Jobs Barometer, June 3, 2025. 56% wage premium for AI-skilled workers (up from 25% prior year); productivity growth 4x higher in AI-exposed industries. https://www.pwc.com/gx/en/news-room/press-releases/2025/ai-linked-to-fourfold-increase-in-productivity-growth.html