Economy, explained.

Silhouette of a woman on a white background (Kurniawan kami saputra/Unsplash)

Layoffs are not dictated by algorithms; they are chosen by executives (Kurniawan kami saputra/Unsplash)

AI didn’t fire you. The board did

From Silicon Valley to Shanghai, the new excuse for redundancy has ripple effects everywhere.

Niusha Shafiabady

24 November 20255 min read

Executives are hiding behind algorithms, reframing mass layoffs as “AI-driven” when the real driver is corporate strategy and shareholder pressure.

Artificial intelligence has become the corporate world’s favourite scapegoat. When executives announce sweeping layoffs, they increasingly frame them as “AI-driven”, as if algorithms themselves demanded the sacrifice. But let’s be clear: machines don’t fire people. Executives do. The decision to cut jobs is a strategic choice, dressed up in the language of innovation to make brutal cost‑cutting sound like progress.

AI offers a neutral, forward‑looking narrative. Instead of admitting that shareholder pressure or margin protection is driving cuts, leaders can claim that automation simply makes certain roles obsolete. It’s a sleight of hand: redundancies are reframed as visionary transformation. The result? Responsibility shifts from the boardroom to the server room, and criticism is deflected onto technology.

This isn’t innovation. It’s spin. And it risks normalising mass layoffs as the inevitable march of progress, rather than holding leaders accountable for the choices they make.

Fragile foundations

The irony of this narrative is exposed every time the infrastructure cracks. The recent AWS outage showed that AI systems are only as strong as the platforms they run on. When the cloud goes down, automation collapses, and suddenly the humans who were deemed “redundant” are the ones needed to restore order.

When US or European firms shed workers, the ripple effects hit supply chains in Asia, service centres in Africa, and contractors in Latin America.

Cutting oversight while doubling down on automation doesn’t build resilience; it builds fragility. If AI is the excuse for layoffs, outages highlight the contradiction: humans remain indispensable when systems fail.

In past downturns, lean workforces often proved unsustainable. Companies cut too deep, then scrambled to rehire. AI changes the equation. Machines don’t demand salaries, benefits or sick leave. Once tasks are automated, displaced workers may never return.

This marks a structural break: a post‑rehire era where jobs vanish permanently. The short‑term savings are obvious, but the long‑term sustainability is far less certain. What happens when institutional knowledge evaporates, adaptability shrinks and loyalty erodes?

Displacement or transformation?

Amazon’s layoffs, framed as part of its AI efficiency drive, are only the tip of the iceberg. Microsoft, Meta and Google have each cited AI gains in their restructuring strategies. But this is not confined to Silicon Valley.

Across Europe, telecoms and banks are invoking AI to justify cuts in administrative and compliance roles. In Asia, manufacturing hubs are accelerating automation to stay competitive, often at the expense of millions of low‑wage workers. In Africa and Latin America, governments worry that AI‑driven restructuring in multinational firms will deepen dependency and widen inequality.

This is no isolated trend. It’s a sector‑wide, border‑crossing narrative embedding AI into the language of corporate downsizing.

AI doesn’t just eliminate jobs; it reshapes them. The real question is whether companies are investing in reskilling or simply reducing headcount. Without reskilling, “AI efficiency” is shorthand for permanent displacement.

Reskilling requires vision and commitment. It means treating employees as assets to be developed, not costs to be cut. Yet too often, the rhetoric of transformation masks a reality of exclusion. If companies refuse to invest in human capital, the promise of AI collapses into a narrative of dispossession.

A workplace, for who? (Simon Kadula/Unsplash)

Ethics and accountability

Large‑scale cuts raise ethical questions that can’t be brushed aside. Corporations are not just profit machines; they are social institutions. Communities depend on them. When thousands of high‑skilled jobs vanish under the banner of AI, the social contract frays.

And the consequences are global. When US or European firms shed workers, the ripple effects hit supply chains in Asia, service centres in Africa, and contractors in Latin America. Layoffs framed as “AI progress” in one country can destabilise livelihoods across continents.

Efficiency without responsibility is not progress. It’s abdication.

AI systems are not infallible. Outages, errors, and biases remind us that humans remain critical for resilience. Removing human redundancy in favour of AI increases vulnerability to single points of failure.

If AI is the reason for cuts, companies must explain how they will maintain safeguards. Who steps in when systems falter? Who carries accountability when decisions are automated? These are not abstract questions. They are the fault lines of a fragile future.

Inequality accelerated

The displacement is uneven. Administrative, customer service, and programming roles are disproportionately affected, while strategic and creative roles remain more secure. This uneven impact risks widening inequality both within and between economies.

Ripple effects cross borders, destabilising supply chains, hollowing out local economies and widening inequality between nations.

High‑tech economies may thrive, while labour‑dependent ones face accelerated disruption. The global dimension of AI‑driven layoffs raises urgent questions about fairness and sustainability. If adoption accelerates inequality, the promise of AI as a universal enabler is undermined.

AI is powerful, but it is not destiny. Layoffs are not dictated by algorithms; they are chosen by executives. By framing redundancies as “AI-driven”, corporations deflect responsibility and disguise cost‑cutting as innovation.

The fragility of AI infrastructure, the lessons of past layoffs, and the ethical stakes of mass displacement all point to the same conclusion: AI is being used as a convenient alibi. The challenge for leaders is to move beyond scapegoating and embrace AI responsibly - not as a shield for shareholder‑driven cuts, but as a tool for genuine transformation.

Anything less is not progress. It is spin dressed up as inevitability.

Accountability across borders

AI didn’t fire you. The board did. And that distinction matters. If we allow executives to hide behind algorithms, we normalise mass redundancies as “progress” and strip accountability from those making the decisions.

This is not just a domestic issue but a global one. From Silicon Valley to Shanghai, from Berlin to São Paulo, the same narrative is being deployed: layoffs disguised as innovation, responsibility displaced onto machines. The ripple effects cross borders, destabilising supply chains, hollowing out local economies and widening inequality between nations.

Workers, policymakers, and communities must demand honesty. Layoffs must be owned as strategic choices, not disguised as inevitability. And across borders, we must insist that AI be used to empower and reskill, not to excuse cuts.

The future of work cannot be built on scapegoats. It must be built on responsibility – shared internationally, enforced collectively and carried by leaders who refuse to hide behind the alibi of innovation.

About the author

Niusha Shafiabady

Professor Niusha Shafiabady is an internationally recognised expert in the field of Computational Intelligence with many years of professional experience in both academia and industry.

Topics

Economy Cyber & technology