Why the UK might be AI's early warning signal, and what that means for the rest of us
In March 2020, we watched Italy's hospitals overflow and told ourselves it wouldn't happen here.
In January 2026, a Morgan Stanley survey of AI-using firms suggests the UK is seeing the highest net job losses among the major economies measured. And many of us are telling ourselves the same thing again: it wouldn't happen here.
We've seen this pattern before. And we remember how the story played out.
The Anatomy of Disruption
COVID was a human tragedy, not a metaphor. I'm using it because I believe it's the clearest recent example of how societies respond to sudden disruption, both psychologically and operationally.
The human response to disruption follows a predictable arc. COVID gave us the clearest map in living memory, compressing into months what usually takes decades. AI is following the same path, just slow enough that we can pretend we have time.
Stage 1: Dismissal "It's a China problem."
I remember a conversation in late December 2019. I was working in the nuclear industry, a sector that monitors global risks forensically. The Lead for Emergency Preparedness mentioned the early reports of a "pneumonia of unknown origin" in Wuhan.
He was paying attention. But I remember my own internal reaction distinctly: It's local. It’s seasonal. It won’t reach us.
I mentally filed it away as noise. I was a professional trained in systems and risk, yet I still missed the biggest risk of our generation.
AI has its dismissal phase too. "ChatGPT is a party trick." "It hallucinates too much to be useful." "Maybe for simple tasks, but not real work."
That was last year.
Stage 2: The Canary "Italy is different. Their demographics. Their healthcare system. It won't be like that here."
Italy became the first Western nation to buckle. We watched doctors choosing who got ventilators. We rationalized: older population, cultural factors, bad luck.
Then Spain. Then France. Then New York.
Today, the UK looks like AI's early warning signal. A recent Morgan Stanley survey found UK firms reporting net job losses of around 8% over the past 12 months, higher than peer economies in a survey of firms across five AI-exposed sectors that have used AI for at least a year. The rationalization has already begun: Brexit aftermath, structural issues, different labor laws.
The UK may not be different. It may just be early.
Stage 3: The Scramble "We need ventilators. We need masks. We need tests. We needed them yesterday."
COVID's scramble was visceral. Hospitals building overflow units in parking garages. Distilleries pivoting to hand sanitizer. Entire supply chains reorienting in weeks.
AI's scramble is quieter but just as frantic. Companies that dismissed generative AI in 2023 are mandating it in 2025. Customer support teams are moving from "reply to tickets" to "supervise AI drafts and handle escalations." Analysts are shifting from "build the first draft" to "verify, stress-test, and narrate the decision."
The scramble isn't about whether to adapt. It's about whether you adapt fast enough to matter.
Stage 4: The Resistance "I'm not wearing a mask." / "Lockdowns are worse than the disease."
Every disruption generates resistance. Some of it is principled. Some is denial wearing the costume of principle. Most is just human: the desperate hope that if we refuse to change, change will refuse to happen.
With AI, the resistance takes familiar forms:
* "AI can't do what I do" (said by people who haven't tested that claim)
* "We need to slow down and regulate" (said while competitors accelerate)
* "The quality isn't good enough" (said about last year's models)
The resistance isn't wrong to raise concerns. But concerns don't stop adoption curves. COVID proved that. The virus didn't care about anyone's opinion on masks.
Stage 5: The New Normal "I can't believe we used to commute five days a week."
By 2022, we'd stopped asking whether remote work was viable and started debating how many days. Zoom fatigue replaced commute complaints. We found a new equilibrium. Not the old world, not the crisis, something else entirely.
AI's new normal is still forming. But the shape is emerging:
* Some jobs will vanish. Not most, but enough to matter.
* Most jobs will transform. The same title, completely different work.
* New jobs will emerge. Roles we can't name yet.
* The humans who thrive will be those who learned to work with the disruption, not against it.
Why the UK Matters
US workers are adopting AI at a remarkable pace, according to recent Gallup data. About 12% use AI tools daily, with roughly a quarter using them several times a week.
The UK is seeing net job losses in AI-exposed sectors faster than any comparable economy.
Same technology. Same year. Opposite outcomes.
And to be clear: this is probably interacting with hiring slowdowns and cost pressures, not just culture. But the cultural dimension matters too.
US labor culture, for all its brutality, has a built-in adaptation reflex. Learn the new tool or lose your job. No one's coming to save you. Workers responded by learning the tool.
UK labor culture has more institutional buffers. Stronger unions, longer notice periods, more redundancy protections. These buffers don't stop displacement. They just change the timing. Workers get more warning but less urgency. By the time the displacement arrives, the adaptation window has closed.
This isn't an argument for brutal labor markets. It's an observation about adaptation velocity. The winners won't be the countries with the best policies. They'll be the ones with the fastest reflexes.
The Uncomfortable Truth
COVID taught us something we'd rather forget: when disruption reaches critical mass, resistance becomes performance.
You could refuse to wear a mask. The virus didn't care. You could refuse to work from home. Your office closed anyway. You could opt out personally. The system still shifted.
Individual resistance doesn't stop collective adaptation. It just determines who gets left behind.
AI is no different. You can refuse to build AI fluency. The person who gets your promotion won't refuse. You can insist AI "isn't ready" for your industry. Your competitor will disagree. You can wait for regulation to slow things down. Regulation usually lags adoption; it doesn't lead it.
The question isn't whether AI will transform your work. That's increasingly hard to avoid.
The question is whether you'll be someone who shaped the new normal, or someone who got shaped by it.
What Actually Helps
If COVID taught us how disruption unfolds, it also taught us how to survive it:
1\. Watch the canaries, not the averages. Italy told us more than global case counts. The UK's job data tells us more than worldwide AI adoption surveys. Find the leading indicators and take them seriously before they become your indicators.
2\. Adapt before you have to. The companies that thrived through COVID weren't the ones who pivoted fastest when forced. They were the ones who started experimenting before the crisis hit. Same with AI. The workers thriving today started learning eighteen months ago. This week: pick one repetitive workflow and rebuild it with AI plus human review.
3\. Don't confuse resistance with strategy. Healthy skepticism asks "how do we do this well?" Resistance pretends "we don't have to do this at all." One is useful. The other is expensive denial.
4\. Find the new shape, not the old comfort. The goal isn't to return to normal. There is no return. The goal is to find the new equilibrium, the ways of working that integrate the disruption into something sustainable. Remote work found that shape. AI will too.
The View From Here
We're somewhere in Stage 3. Deep in the scramble. Resistance still loud. New normal not yet visible.
Overgeneralizing here, but as a rough pattern: one market is sprinting to adopt. One is cushioning the blow and risking delay. One is attempting to steer with regulation. The new normal is still being written.
If COVID taught us anything, it's that the arc is inevitable but the outcomes aren't. Some people emerged from the pandemic healthier, wealthier, and more intentional about their lives. Others lost years. Same disruption, different choices.
AI will be the same. The disruption is coming for everyone. What you do in the next twelve months will determine which side of that sentence you land on.
The virus didn't wait for us to be ready.
Neither will this.
If you think the UK/US comparison is flawed, tell me where. And what indicators are you watching instead?