Six months ago, working inside a company the stock market considered “doomed,” I couldn’t tell you which AI story I believed — civilizational disruption, or overhyped technology that never pays off. Both stories are still being told today, often in the same week or even the same conversation.
Here’s what the data actually shows.
Businesses aren’t mainly cutting jobs over AI — they’re changing what jobs are for. In the New York Fed’s most recent regional business survey, AI adoption has become widespread: 61% of service firms and 51% of manufacturers now use it, up from just 25% and 16% two years ago. Yet layoffs remain rare — only 4% of service firms reported cutting staff because of AI, and no manufacturers did. The dominant response instead is retraining: over a third of service firms and one in five manufacturers are actively upskilling their existing people rather than replacing them. (Federal Reserve Bank of New York, Liberty Street Economics, Sept 2026)
That matches what I’ve felt firsthand. AI hasn’t done my job for me — it’s let me build things, like customer-specific components, that I would previously have needed a full team of specialists to build. It’s not automation, it’s amplification. Anthropic’s own analysis of how people actually use Claude found the same pattern at scale: 57% of AI usage is augmentation — humans and AI working the problem together — versus 43% where AI completes the task outright. (Anthropic Economic Index)
Why the fear is real anyway
None of this means the anxiety is misplaced — it’s rational. Mercer’s 2026 Global Talent Trends survey found 40% of employees now fear losing their job to AI, up sharply from 28% just two years ago. And the strain isn’t paranoia dressed up as data: the APA’s 2025 Stress in America report found that uncertainty itself — not just the technology — is what’s driving it, with 62% of US adults citing societal and technological division as a significant source of stress.
I don’t think you fix that with a reassurance email. I think you fix it by making the case, with evidence, for why deep domain knowledge is becoming more valuable, not less.
The case for domain knowledge
Look at sales, the function I know best. Salesforce’s 2026 State of Sales Report found that sellers who partner well with AI tools are 3.7x more likely to hit quota than those who don’t (Gartner Sales Survey). 82% of reps say AI is creating career growth opportunities for them, not closing doors. The lift doesn’t come from the tool alone — it comes from reps who already understood the customer, the process, and the judgment calls AI can’t make, using AI to move faster.
That’s the pattern everywhere I’ve watched this play out: AI doesn’t replace expertise, it multiplies whoever already has it. Which means the employees who understand a company’s product, customers, and edge cases the deepest are becoming harder, not easier, to replace.
What this means for how companies treat people
If that’s true, the smart response for employers isn’t caution — it’s retention. Employers already sense this: in Monster’s 2026 hiring outlook, 52% now name retaining existing people their top workforce priority, ahead of new hiring at 45%. Keeping the people who hold the institutional knowledge is becoming the actual competitive advantage.
But retention isn’t only about pay. People need to feel they belong somewhere while all of this shifts under them. Gallup’s research is unambiguous here: employees who have a close friend at work are seven times more likely to be fully engaged, and companies that get six in ten employees to report a close work relationship see a 28% drop in safety incidents alongside meaningfully higher profitability.
So here’s where I’ve landed, for now: AI is a multiplier, not a replacement — but multipliers only work on something. Give people the tools, give them the trust, and give them a culture where they’re not navigating this alone. The technology isn’t the risk. Isolating people while it changes everything around them, is.
Sources
- Federal Reserve Bank of New York, Liberty Street Economics — “Businesses Are Using AI to Transform Work, Not Cut Jobs”
- Gallup — “AI Use at Work Rises”
- Anthropic Economic Index
- Salesforce — “40 Sales Statistics to Watch for in 2026”
- Mercer Global Talent Trends 2026 — via Metaintro
- APA — Stress in America 2025, “A Crisis of Connection”
- Monster — 2026 Hiring WorkWatch Report
- Gallup — “Best Friend at Work”