Train or Cut? AI Layoffs Rise at HSBC and Kroger as Reskilling Debate Grows
AI-linked layoffs keep climbing, with HSBC and Kroger the latest named cases. AICERTs weighs the true cost of cutting staff against reskilling them instead.
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AI-driven layoffs keep spreading, and HSBC and Kroger are the latest big names attached to the trend, according to a new analysis from AICERTs examining what workforce cuts actually cost employers compared with reskilling the same workers.
The piece lands at a moment when the question has stopped being theoretical. Banks and retailers are deploying AI (software systems that perform tasks previously requiring human judgment or labor) across functions from customer service to back-office processing. Headcount reductions follow. HSBC and Kroger serve as the analysis' anchor cases, one from finance, one from grocery retail — two sectors automating fastest.
What does the layoff-versus-reskilling math actually look like?
The AICERTs analysis frames the choice as a cost comparison employers now have to run before every restructuring round. Cutting a worker carries direct expenses: severance, lost institutional knowledge, recruitment and onboarding when the role eventually needs refilling. Reskilling — training an existing employee for an AI-adjacent role — front-loads the spend but keeps the knowledge and avoids the churn.
The report's core argument, per its title, is that companies rising to the layoff lever first may be mispricing that decision. The comparison isn't just this quarter's payroll line, AICERTs suggests, but the longer-run cost of rebuilding capabilities that walked out the door.
The takeaway in plain words: the cheap option on paper is rarely the cheapest option over the full cycle.
What does it mean for individual workers?
For employees at banks and large retailers, the signal is direct. Roles that AI can now perform are the ones appearing in layoff announcements, and the workers who keep their positions are the ones whose skills sit next to the technology rather than against it. That doesn't mean learning to build AI systems. It means the tasks AI can't yet do reliably — judgment calls, exceptions, relationships — carry rising market value.
If your employer offers training, the report's framing implies you should treat it as retention capital. Companies that invest in reskilling are signaling they'd rather keep you than pay to replace you.
One-sentence takeaway: your market position now depends less on your job title and more on which side of the automation line your daily tasks sit.
What happens next?
AICERTs' analysis points toward a widening split: employers that budget for retraining will keep cutting slower, while those that don't will keep showing up in the layoff headlines alongside HSBC and Kroger.
Source: Google News: Layoffs
More from Tom Whitfield
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Senior reporter covering regulation, policy and their impact on Job market data and labor economics at Path & Pay.
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