The Fashion of the Layoff Excuse
I have watched hiring fads arrive with trumpets and leave by the side door for longer than I care to admit. When a software vendor promises that its newest module will do the work of ten people, executives immediately start looking for ten people to fire. The fashion of the moment is to blame this entirely on artificial intelligence.
Let me save you an afternoon of worry: the machines are not running the shop floor just yet. But the human executives are absolutely reorganizing it to protect their profit margins.
Take the recent breakout in Google searches for Workday layoffs 2026. On September 29, the enterprise software company (the firm whose tools operate the very filing cabinets and well-kept ledgers of corporate human resources) filed a Form 8-K, a mandatory corporate disclosure used to notify investors of significant events. Workday's Form 8-K filing detailed a plan to cut roughly 2.5 percent of its workforce, targeting its Product and Technology team, and carrying up to $80 million in restructuring charges.
Workday is reallocating its budget toward agentic AI, which refers to software designed to take actions on its own rather than just answering chat prompts. It is a textbook example of what is happening across the software industry. Technology employers announced 165,925 job cuts through September 2026, according to Challenger data reported by From Day One. The people who build the core product are losing their seats so the company can fund the automated tools it wants to sell.
What the Data Actually Says About AI
If you read the public relations statements, you would think software engineers and IT professionals are being universally replaced by code generators. Here at PorkiMail, we track the labor data so you do not have to guess. The numbers tell a quieter, more cynical story.
In its August 2026 report, the outplacement firm Challenger, Gray & Christmas tracked 116,175 job cut announcements this year where the employer explicitly blamed artificial intelligence. That makes AI the leading stated reason for layoffs in 2026.
But pay attention to the wording: it is the stated reason. Challenger records the explanation the employer gives to the public. Elena Magrini, an economist at the labor analytics firm Lightcast, reviewed this trend and noted that the broad labor data does not actually show workers being replaced en masse by AI. Instead, companies use the technology as a convenient public shield for basic cost-cutting. They overhired during the boom, and now they are trimming the fat.
The day-to-day reality of the work tells an even bleaker joke. Recent reporting by The Guardian notes that existing employees are simply forced to spend their hours cleaning up the technical and security errors generated by the very automated tools meant to replace them. An enterprise software platform is essentially a massive, well-kept ledger. When you open that ledger to automated agents, you need much stronger locks on the doors.
Why IT Security Now Filters for Risk
So, who loses and who benefits? The losers are the pure builders. If your job relies on a company expanding its cloud footprint and buying 10,000 new software seats, your leverage is evaporating. The displaced workers from these vendor cuts are migrating away from the massive tech platforms. They are landing in healthcare, finance, and logistics (industries that need human operators to lock down the data that AI vendors are trying to scrape).
The winners are the mechanics who keep the machine from burning down. For IT and cybersecurity professionals, the role's scope is changing from architectural expansion to defensive preservation.
When a company deploys automated agents to read its proprietary data, the attack surface fractures. Employers are treating cybersecurity less like a technology playground and more like a legal liability. The sheer volume of automated threats means that the hiring funnel now filters for risk reduction and incident response, which is the structured process of identifying, containing, and recovering from a cyberattack.
This completely changes the economics of the role. You are no longer paid a premium to deploy shiny new toys. You are paid to enforce access governance, audit the cloud compute bills, and own the response plan when a breach happens. The burnout in this field is real, because the day-to-day reality involves arguing with executives who want the cost savings of automation without paying the security toll to run it safely.
Your Next Action
My advice to you is to stop pitching yourself as a visionary architect of new systems. Employers are terrified of risk, and they are hiring the people who know how to put out the fire.
Your next action is a calculation. When you interview for an open cybersecurity role, ask the hiring manager exactly how they measure risk reduction and who owns the budget for incident response. If they cannot give you a straight answer, you are walking into a cost center that will be on the wrong side of their next restructuring announcement.