When the Algorithm Comes for Your Job: AI, Layoffs, and What It Means for Workers

The message was familiar in structure if not in candor. A CEO. A Slack channel. A percentage. Recently, a local legal technology startup told employees it was reducing headcount by 30% to become a “full AI company” — restructuring around the premise that intelligent systems can now do what large teams once required. The company was not in financial distress. It was, by most measures, growing. The cuts were strategic, not reactive.

That distinction — layoffs not born of failure, but of technological transformation — is what sets this moment apart. And it is playing out not just in one startup’s headquarters, but across industries and continents.

A Global Shift

The numbers are hard to dismiss. In 2025, nearly 245,000 tech workers worldwide lost their jobs, with roughly 70% of those reductions originating from U.S.-headquartered companies and approximately 55,000 positions directly attributed to AI-driven restructuring.

By early 2026, the pace had quickened: AI was explicitly cited in approximately 20% of all tech layoff announcements in Q1 2026, up from fewer than 8% the year before. By mid-2026, tech companies had announced roughly 363 separate layoffs affecting nearly 150,000 workers — a pace about 44% faster than the same stretch of 2025, according to layoff tracker TrueUp. May alone brought close to 40,000 cuts, the steepest single month in two years, with AI ranked as the most-cited reason across every industry for the third consecutive month, per outplacement firm Challenger, Gray & Christmas.

The names are familiar. Block cut its workforce from roughly 10,000 to fewer than 6,000. Atlassian trimmed 10%. Baker McKenzie laid off hundreds. Accenture, Amazon, Microsoft, and Citigroup made cuts in the thousands. The disruption has spread well beyond Silicon Valley — into finance, logistics, consulting, media, and legal services.

The World Economic Forum projects AI and automation will displace 92 million jobs by 2030 while creating 170 million. The net gain reassures over the long term. In the near term, the transition is far less tidy.

The American Reality

Deutsche Bank analysts warn that “AI redundancy washing” — blaming automation when the real drivers are economic or strategic — will define corporate messaging in 2026. Marc Andreessen has called AI the “silver bullet excuse” for cuts that are really about over hiring.

Yale University’s Budget Lab found displacement has not shifted as dramatically as headlines suggest, but the disruption is real and uneven. Entry-level workers bear the brunt: on-ramp roles like support and data entry are the first to go, and entry-level tech postings have dropped roughly 35% since early 2023, per Revelio Labs. Unemployment among recent graduates has risen faster than for older workers — for them, AI is not a future concern but the present environment.

Meanwhile, roles requiring AI fluency have grown roughly sevenfold in two years, according to McKinsey. The challenge is less a shortage of jobs than a skills transition outpacing workers, educators, and policymakers.

What It Means for Charleston

Charleston is not insulated — and in some ways is positioned to feel both sides. The region has built a real tech economy: more than 1,900 tech companies, an average tech salary of $130,522, Google’s $12.3 billion data-center investment in Berkeley and Dorchester counties, and the SC Nexus energy-hub designation projected to add 14,000-plus jobs by 2030. Regional analyses project a 20% jump in tech jobs by year-end 2026, outpacing the national average.

That growth is increasingly AI-native. Startups applying AI to healthcare, hospitality, and financial services are finding footholds here, supported by Charleston Digital, the South Carolina Research Authority, the Harbor Entrepreneur Center, and MUSC. But growth does not automatically absorb the displaced. A legal tech associate whose role was restructured away does not automatically become an AI product manager. The jobs being created and the people being displaced are not always the same population.

The Honest Reckoning

Neither techno-utopian abundance nor dystopian mass unemployment captures what is happening: a genuine, accelerating structural transition — one that creates real winners and losers, and demands serious attention from employers, educators, and policymakers alike.

Thomas Wilson, lead technology advocate at Scout and AI instructor at the Charleston Learning Center, sees three types of organizations emerging in every industry: those that cut employees and replace them with AI; AI-native startups that launch lean; and large companies that give existing employees what he calls “superpowers” — using AI as a force multiplier rather than a replacement. That third model, Wilson argues, can support a thousand employees while delivering the output of ten thousand, with value that “goes through the roof.” His bet is on organizations that empower their people to act as high-performing, collaborative agents.

Charleston’s institutions — accelerators pivoting to AI-augmented curricula, Charleston Digital’s recently launched AI Academy at the Charleston Learning Center, schools treating AI fluency as a baseline — are building toward that path.

What the moment calls for, in Charleston and everywhere, is what any period of rapid change demands: honesty about the disruption, seriousness about the transition, and real obligation to the people navigating both.