Global-wide: A Crisis PR & Communications Overview

When AI Replaces Workers, the Story Does Not Stay Internal

More than 150,000 technology jobs have been cut so far this year, with the pace accelerating sharply since March. Many executives ordering those reductions are publicly attributing them, in part, to artificial intelligence. Meta CEO Mark Zuckerberg recently declared 2026 “the year that AI starts to dramatically change the way that we work”.

“I’m no longer needed anywhere”

In past cycles, layoffs followed tangible, discrete events. Revenue dropped. A product line was discontinued. A new disruptor took market share. In those cases, affected employees were often devastated, but they understood the market environment was beyond their former employer’s control.

AI-driven layoffs carry a different message. The cause is a strategic decision to redesign how work gets done, and some roles no longer fit that design because technology can now do what the employee did.

The emotional impact for affected employees is starkly different. In a traditional downturn, workers tend to feel “I’m no longer needed here”. In an AI-driven reduction, many experience something closer to “I’m no longer needed anywhere”. The knowledge they spent a career building, the skills they spent years developing, the professional identity they carried – it’s no longer valued by this company or the broader economy. It’s all replaceable by lines of code.

One group of employees very much affected by AI-driven restructuring is white-collar professionals. They understand the business, have often cultivated deep relationships within the company and are sophisticated users of the same media channels and external networks through which the company tells its story. When they leave feeling displaced and obsolete, they carry that story with them, and they know how to tell it.

Reporters covering the AI-and-labour beat in these cases are talking with people who can explain, in detail and with credibility, exactly what happened inside the company that just let them go.

Once the story becomes “the company replaced people with computers”, its reach extends well beyond the employment context. AI itself, ironically, can exacerbate the proliferation of challenging narratives like these. How news articles are vacuumed up and spat out by AI summary publications and chatbots can determine how the story is received. 

The near-term boost to share price could be followed by a reputation-killing news story, prospective talent looking elsewhere, consumer attrition, attention from policymakers and regulators and, in rare cases, brand boycotts. The Swedish fintech company Klarna discovered this when it laid off more than 700 employees in favour of an AI customer-service solution, faced a swift consumer backlash, and ultimately reversed course.

The AI-washing problem

When a company announces that AI is replacing roles, it has made a public assertion about the state of its AI deployment. Our research has found that reporters, analysts, former employees, and regulators want to verify this public claim. A Harvard Business Review survey published earlier this year found that many executives say their AI layoffs are driven by anticipation of the technology’s impact, not its current performance. Essentially, some companies are attributing reductions to AI capabilities that do not yet fully exist. That gap is a liability, one that regulators around the world are investigating.

The US Securities and Exchange Commission (SEC) has been issuing comment letters on AI-related disclosures, asking public companies to describe the actual operational role of AI in their businesses, not the aspirational one. Earlier this year, SEC Chairman Atkins alluded to prior enforcement actions taken by the SEC “against bad actors for deception that involves false, misleading, or exaggerated claims about the use of AI in their products and services”.

Similarly, the UK’s Financial Conduct Authority has urged companies to communicate around the implementation of AI in a way that “is clear, fair and not misleading”. The European Securities and Markets Authority, the Canadian Securities Administrators, and the Australian Competition and Consumer Commission have each urged or required companies to do the same.

A company accused of overstating AI progress therefore faces reputational risk across every critical stakeholder group: regulators, investors, remaining employees, and departing employees who are now motivated to contradict the company’s public story.

The communications posture that protects against both risks is accuracy. Companies that describe specifically what their AI systems are doing, what work has been automated, what work remains human, and where the technology is still developing are in a stronger position than those reaching for the most investor-friendly framing. The first group is managing a story. The second group is creating a record that both regulators and former employees are well positioned to challenge.

What preparation actually requires

Most companies planning AI-driven reductions already invest in legal preparation. Legislation analysis (including of the US WARN Act and the EU AI Act), severance design, and disparate impact review generally receive attention. However, there are preparation deficiencies elsewhere.

The first conversations after a layoff announcement often determine how the decision is understood, both inside and outside a company. They are also the conversations former employees describe to reporters.

Managers handed talking points the morning of the announcement are not equipped for that moment. They need to understand, thoroughly and early, what the company is doing with AI, why, and how to discuss it honestly, compassionately and authentically. Vague language about “transformation” and “the AI era” can end up in a reporter’s notebook and draw attention from regulators and plaintiffs’ attorneys.

AI layoffs generate anxiety throughout an organisation, not just among those whose roles are eliminated. If leadership does not address that anxiety directly, it expresses itself through attrition, reduced engagement, and informal conversations that can be as damaging as what departing employees say publicly.

The board question

In 2025, nearly half of Fortune 100 companies specifically cited AI risk in the board’s oversight of enterprise risk, a threefold increase from the prior year. That governance attention has focused almost entirely on AI adoption risk. Boards have been considerably less attentive to the reputational and disclosure risks that arise when a company makes public claims about its use of AI.

A workforce reduction that generates sustained narrative damage or triggers a regulatory probe into the accuracy of AI capability claims may be, among other things, evidence that the board did not ask the right questions in advance. The general counsels and outside advisors should encourage the board to ask explicitly how the company intends to communicate workforce changes connected to that strategy, and what the evidentiary basis is for any AI-related claims in those communications.

The new normal

Analysts project that full-year job cuts in 2026 could exceed 2025’s total of roughly 245,000. The companies that navigate these decisions most effectively will be the ones that recognise that an AI layoff is a different kind of event, with different audiences, different emotional dynamics, and different reputational exposure than any earlier restructuring.

The narrative risks posed by AI are real and materialising now. The disclosure risks are slower but potentially more durable. Both are products of the same decision to attach AI claims to workforce reductions, and both require the same discipline: say only what is accurate, prepare the people delivering the message to speak about it honestly, and anticipate the concerns of former employees and regulators alike.