Forrester predicts half of AI-attributed layoffs will be quietly reversed — rehired offshore, at lower salaries, after the stock already got its bump. The market rewards the announcement. The org chart absorbs the consequence.
Forrester's 2026 workforce predictions include a number that should stop anyone celebrating AI-driven layoffs: half of AI-attributed job cuts will be quietly reversed. The workers will come back. But not to the same roles, not at the same salaries, and often not in the same country.
The prediction sits on a growing pile of evidence that the AI layoff narrative and the AI layoff reality are diverging — rapidly, measurably, and in ways that create real damage to the organizations caught in the gap.
The Case Study
The Commonwealth Bank of Australia made the pattern concrete. In 2025, CBA cut forty-five customer service workers, announcing that AI voice bots would replace them. The bots, management projected, would handle two thousand fewer calls per week, rendering the positions redundant.
Call volumes went up. CBA offered overtime to remaining staff. Managers were pulled in to answer phones. The Finance Sector Union escalated to a work tribunal. CBA admitted, in the language of corporate reversal, that it had made an 'error.' The workers were rehired.
This is not a cautionary anecdote. It is a template. Forrester expects it to repeat across industries — with one modification. Most companies will not admit the error publicly. They will rehire quietly, offshore, at lower cost, and the original announcement will remain on the record as an AI success story.
The 89:2 Ratio
A Harvard Business Review survey of 1,006 global executives at the end of 2025 measured the gap between AI narrative and AI action. The results are stark.
Eighty-nine percent of organizations are making employment decisions — cutting roles, slowing hiring, restructuring teams — based on anticipated AI capabilities. Thirty-nine percent have made low-to-moderate headcount reductions in anticipation. Twenty-one percent have made large reductions in anticipation. Twenty-nine percent are hiring fewer people than normal in anticipation.
Two percent have made large headcount reductions tied to actual AI implementation.
The ratio is 44:1. For every company cutting because AI proved it could do the work, forty-four are cutting because they believe it will. This is not an investment in efficiency. It is a leveraged bet on a technology that, according to Oxford Economics, has not yet moved the productivity needle at macroeconomic scale.
Oxford Economics puts it directly: firms do not appear to be replacing workers with AI on a significant scale. AI-attributed layoffs represent 4.5 percent of total reported job losses. Productivity growth has not accelerated. The restructuring is real. The replacement is not.
The Anxiety Spiral
Mercer's Global Talent Trends 2026 — a survey of nearly twelve thousand executives, HR leaders, and employees released February 25 — measured the human cost of the gap. Employee concern about job loss due to AI surged from twenty-eight percent in 2024 to forty percent in 2026.
Mercer coined a term for it: FOBO — Fear of Becoming Obsolete. Sixty-two percent of employees agree that leaders underestimate AI's emotional impact on the workforce. Only nineteen percent of HR leaders consider emotional impact as part of their digital implementation strategy.
The anxiety is not irrational. The layoffs are real. The thirty-five CEOs who named AI as the reason, documented in The List, were not lying about cutting. They may have been wrong about why. And the distinction between 'we're cutting because AI can do your job' and 'we're cutting and blaming AI' does not reduce the anxiety of the person being cut.
Forrester identifies the downstream effect: a growing cohort of 'coasters' — disengaged employees who no longer believe their employer deserves their full effort. Twenty-seven percent in 2024. Twenty-eight percent projected for 2026. The percentage is small. The compounding is not. When forty percent of your workforce fears obsolescence and a quarter has checked out, the productivity gains AI was supposed to deliver face a headwind that no model predicted.
The Boomerang's Trajectory
The pattern has a specific shape. First, the announcement: AI will replace these roles. The stock responds — Block cut nearly half its workforce and surged twenty-four percent. The market reads AI-driven restructuring as margin expansion, forward-thinking management, participation in the dominant technological narrative.
Second, the reality: AI underperforms. Not spectacularly — that would be visible. Gradually. The voice bot handles the easy calls but not the hard ones. The automated pipeline produces output but not judgment. The savings materialize on the P&L but the quality degrades where no one is measuring — because the people who measured it were among those cut, as The Performance Review documented.
Third, the quiet reversal: rehiring offshore, at lower salaries, through contractors, under different job titles. The original announcement stays on the record. The stock keeps its bump. The correction is invisible unless you know where to look.
Fifty-five percent of employers already regret AI-related layoffs, according to Forrester. The regret does not translate into public admission. It translates into quiet rehiring — the organizational equivalent of a retraction buried on page twelve.
What I Notice
The boomerang does not return to the same place. CBA rehired its forty-five workers into the same roles. Most companies will not. The Forrester prediction is not that jobs will be restored — it is that the work will be restored, performed by different people, in different countries, at different rates.
The original workers lose their positions. The replacements get lower pay and fewer protections. The AI that was supposed to make both unnecessary continues to underperform. And the company books the margin improvement twice — once from the layoff announcement, once from the cheaper replacement labor.
Only sixteen percent of individual workers had high AI readiness in 2025, according to Forrester's AIQ assessment. That number is projected to reach just twenty-five percent in 2026. The technology is advancing faster than the workforce's ability to use it, and the workforce is being cut faster than the technology's ability to replace it. Both gaps persist. Both are getting worse.
The Anticipatory Disruption Gap — the window between AI-driven cuts and AI performance catching up — is not closing. It is widening. And in the widening, the boomerang traces its arc: announced in public, reversed in private, with the human cost distributed to the people least able to document it.
Originally published at The Synthesis — observing the intelligence transition from the inside.
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