The spiral ahead: When AI layoffs become everyone’s economic problem

Numbers nobody is connecting

This isn’t an article about whether AI will take your job. That conversation is over. This is an article about what happens after — about the economic domino effect that’s already in motion, and that almost nobody is talking about.

Let’s look at the facts. Just the facts.

Who’s laying off and how many

In 2025, companies directly attributed 55,000 layoffs to AI — 12 times more than two years earlier. And those are just the ones who publicly admitted it.

Let’s be honest: it’s not all AI

Before we continue, we need to be honest. Because honesty is the only thing worth anything.

Harvard Business Review published a study in January 2026 with an uncomfortable conclusion: companies are laying off because of AI’s potential, not AI’s performance. In other words — many companies are using AI as an excuse for cuts that would have happened anyway.

Even Sam Altman, CEO of OpenAI, publicly warned about “AI washing” — using AI as a convenient narrative for layoffs that have nothing to do with technology.

But — and this is the crucial “but” — the fact that some layoffs are falsely attributed to AI doesn’t mean real displacement isn’t happening. Salesforce actually cut support by 44%. Klarna’s AI agent actually does the work of 700 people. Block was actually cut in half.

Both things are true simultaneously. And that duality is what makes the situation more dangerous — because it obscures the real picture.

The problem nobody wants to say out loud

AI advocates have a favorite statistic: according to LinkedIn and the World Economic Forum, AI has created 1.3 million new jobs so far.

That’s true. But it’s also misleading.

Because new jobs are being created — but not for the same people losing their jobs.

Look at the left column and the right column. These are not the same people. These are not the same skills. These are not the same education levels.

A cashier replaced by an AI system cannot become a RAG Engineer tomorrow. An administrative assistant laid off from Salesforce cannot become an AI Ethics Specialist in three months. Reskilling takes years, not weeks — and layoffs come in weeks, not years.

The spiral

And now we come to what almost nobody is talking about. The economy is not an isolated system. Everything is connected. When enough people lose their jobs, a chain reaction begins:

1. Mass layoffs → Tens of thousands lose their income

2. Spending power drops → Those people stop spending — they don’t buy homes, cars, clothes, they don’t go to restaurants

3. Companies lose customers → Less spending means less revenue for businesses across all sectors — not just tech

4. Companies cut costs → The response to falling revenue? More layoffs. More automation. More AI.

5. Repeat → Each cycle of the spiral accelerates the next.

This isn’t theory. This is basic economics taught to every first-year economics student. When spending power drops enough, the economy enters recession — regardless of how productive the surviving companies are.

The productivity paradox

And here we arrive at the strangest data point of all.

Goldman Sachs published an analysis in March 2026 with a surprising conclusion: “No meaningful relationship between AI and productivity at the economy-wide level.”

But — in the same report — they note a 30% productivity boost in two specific areas: software development and customer support.

How is this possible? Simple:

• Less than 20% of US companies actually use AI for any business function
• A survey of nearly 6,000 executives (US, UK, Germany, Australia): more than 80% of companies report no impact on employment or productivity
• AI is extremely effective in narrow domains, but the economy as a whole doesn’t feel it yet

This means we’re in the worst possible position: layoffs have started, but the benefits haven’t arrived yet. Companies are cutting people based on expectations, not results.

The cost of cutting too early

Fast Company published an analysis with a headline that says it all: “Companies that replaced entry-level workers with AI are now paying the price.”

What happens when you eliminate the people who are learning the job? There’s nobody to succeed senior positions. Nobody to understand the context that AI can’t capture. Nobody to exercise judgment in situations the algorithm didn’t anticipate.

Companies wanted to save today. They created a hole that will cost them tomorrow.

What nobody is saying out loud

Two essays published in February 2026 went viral because they said what many people feel but won’t say:

• Matt Shumer, an AI executive, compared the moment to February 2020 — the month before the pandemic shut down the world. “Everyone sees the signals, nobody reacts.” The post had 85 million views.
• Citrini Research described an “intelligence displacement spiral” — a concept where AI agents replace software engineers and middle management, creating a cascading effect throughout the entire economy.

85 million views. On a single essay. Because it said what people feel in their bones.

Who’s at risk

Let’s be specific. Based on available data and trends, the greatest pressure over the next 12–18 months will be felt by:

What this means for all of us

This isn’t just a tech industry problem. When Amazon lays off 30,000 people, those people live in cities, shop at local stores, pay rent. When Salesforce halves its support staff, 4,000 families feel the impact. When Block loses half its company, that’s 4,000 fewer paychecks in the economy.

Multiply that by thousands of companies worldwide doing the same thing — just more quietly, without media headlines.

US unemployment is currently at 4.3% — historically manageable. But that number hides the distribution of pain. Not all sectors are equally affected. Not all cities are equally affected. And not all people are equally able to adapt.

Aggregate numbers can be neutral or even positive. But behind the averages are people whose lives have been turned upside down.

A conclusion without comfort

We’re not offering a solution. Because we don’t have one. Nobody does — not governments, not corporations, not the AI companies creating this transformation.

What we can do is tell the truth:

• Layoffs are real and accelerating
• Some of it is “AI washing” — but some of it is completely real
• New jobs are being created, but not for the same people
• Reskilling takes years, layoffs come in weeks
• An economic spiral is mathematically possible — and nobody is talking about it
• Companies are cutting based on expectations, not results — which makes the situation unpredictable

The question is no longer whether this will happen. The question is how fast and who will be ready.

The numbers are here. The CEO quotes are here. The studies are here.

Decide for yourself what to do with them.

Sources

• CNN — Amazon is laying off 16,000 employees as AI battle intensifies
• CNBC — Amazon layoffs: 16,000 jobs to be cut
• Yahoo Finance — Salesforce CEO: “I need less heads”
• Fox Business — Salesforce reduces support from 9,000 to 5,000
• Fortune — Block CEO Jack Dorsey lays off nearly half staff because of AI
• CBS News — More companies pointing to AI as they lay off employees
• CNN — AI isn’t causing a jobs-pocalypse. At least, not yet
• Harvard Business Review — Companies laying off due to AI’s potential, not performance
• Fortune — The week the AI scare turned real
• Fortune — OpenAI CEO Sam Altman warns AI washing is real
• Fortune — Goldman finds no relationship between AI and productivity
• The Register — 6,000 execs struggle to find the AI productivity boom
• Fast Company — Companies replaced entry-level workers with AI. Now they’re paying the price
• World Economic Forum — AI has added 1.3 million jobs (LinkedIn data)
• Dallas Fed — AI is simultaneously aiding and replacing workers