The first quarter of 2026 is not even over, and the numbers are already grim.
More than 60,000 technology workers have lost their jobs since January, according to independent trackers monitoring layoff announcements, SEC filings, and company statements. The pace has accelerated compared to the same period last year, driven in large part by companies restructuring around artificial intelligence and automation. Amazon alone has cut 16,000 corporate positions this year. Block, the payments company formerly known as Square, eliminated 4,000 roles in what its CEO called a response to "the growing capability of AI tools." Meta trimmed another 1,500 from its Reality Labs division. Oracle is reportedly considering cuts of up to 30,000.
These are not small startups burning through runway. These are some of the most profitable companies in the world, posting record revenue while simultaneously telling thousands of employees their roles no longer exist.
What makes this round of cuts different from the post-pandemic corrections of 2023 and 2024 is the stated rationale. Companies are no longer framing layoffs as a course correction for pandemic-era overhiring. They are describing them as permanent structural changes. Roles in customer support, quality assurance, content moderation, and middle management are being eliminated with explicit references to AI-driven efficiency. A RationalFX analysis published in March found that roughly 20 percent of the 45,000 tech layoffs tracked through early March were directly attributed to AI implementation. Analysts at Challenger, Gray & Christmas put that figure even higher at 23 percent for the full first quarter.
Behind the headline numbers is a less visible problem. Most of the workers being laid off in 2026 are not losing their jobs because they performed poorly. They are losing them because their job category is being restructured out of existence. And the overwhelming majority of them are entering the job market without having practiced a single interview in months or years.
This is a pattern that career coaches and workforce development professionals have flagged repeatedly: the gap between losing a job and being ready to compete for a new one is wider than most people realize. Resumes go stale. Interview skills atrophy. The behavioral and technical questions that companies ask in 2026 are markedly different from what the same companies were asking even two years ago, with AI literacy, cross-functional adaptability, and scenario-based problem solving now standard in screening rounds.
For workers early in their careers, losing a first or second job to a structural shift is qualitatively different from a senior employee being laid off with a severance package and a professional network to fall back on. Recent graduates and early-career workers who have been cut are increasingly turning to internship platforms as a re-entry path, using short-term placements to rebuild momentum and pivot into roles that are less exposed to AI displacement.
The irony is not lost on workforce observers: the same AI that is eliminating jobs is also reshaping how companies evaluate candidates for the jobs that remain.
Automated screening tools, AI-generated interview questions, and even AI-assisted evaluation of candidate responses are now common at mid-size and large employers. Candidates who are unfamiliar with these formats, who have not practiced answering structured behavioral questions, or who cannot articulate how their skills transfer to a new context are at a significant disadvantage.
This has created demand for a new category of preparation tools. Services like InterviewPal, which maintains a real-time layoffs tracker alongside AI-powered interview practice, have seen increased traffic as displaced workers look for ways to prepare quickly. The platform's tracker, which catalogs layoffs across more than 150 companies and tracks more than 51,000 affected workers in 2026, has become a reference point for workers trying to understand the scope of what is happening and which companies are still hiring.
The combination of layoff data and interview preparation on the same platform reflects a shift in how workers are approaching job transitions. Rather than treating the job search as a linear process (update resume, apply, wait), displaced workers are increasingly looking for tools that help them understand the market and prepare simultaneously.
Several trends are converging in ways that make the second quarter of 2026 particularly uncertain for tech workers.
First, the companies doing the most hiring in AI and machine learning roles are often the same companies conducting layoffs in other divisions. Amazon, Meta, and Salesforce have all posted sharp increases in AI-related job listings even as they cut headcount elsewhere. LinkedIn data from March showed a 34 percent year-over-year increase in AI and ML engineering postings, even as overall tech job postings declined 8 percent. For workers being laid off from non-AI roles, the message is clear but unsettling: the industry wants different skills than the ones you have.
Second, entry-level workers are being hit disproportionately. Unemployment among younger workers has risen faster than for older employees, and the roles most frequently eliminated by AI, including Tier 1 support, manual QA, and content moderation, tend to skew younger. For workers early in their careers, losing a first or second job to a structural shift is qualitatively different from a senior employee being laid off with a severance package and a professional network to fall back on.
Third, the federal workforce reductions under DOGE have added more than 70,000 government employees to the job market at the same time that the private sector is contracting. The result is an unusually crowded applicant pool, particularly for generalist roles in project management, operations, and administration.
Career counselors consistently emphasize three priorities for recently displaced workers. The first is speed. The longer someone waits to begin active preparation and outreach, the harder the transition becomes, both practically and psychologically.
The second is structured practice. Reading job descriptions and thinking about how you might answer questions is not the same as actually practicing answers out loud, getting feedback, and iterating. This is where AI-driven mock interview tools have found traction. They provide a low-stakes environment to rehearse before the real thing, available around the clock and without the scheduling friction of working with a human coach.
The third is market awareness. Understanding which companies are hiring, which are cutting, and which skills are in demand is not optional. Workers who apply broadly without understanding the landscape waste time and energy on roles that may not exist by the time they reach a final round.
The tech layoff wave of 2026 shows no signs of slowing. For the tens of thousands of workers already affected, and the thousands more who will likely follow in the coming months, preparation is not a luxury. It is the difference between a three-week transition and a six-month one.
