AI Half of AI job cuts will be reversed by 2027 — and it reveals the biggest mistake companies are making Features By Amanda Caswell published 17 June 2026 Companies get more from AI when it helps people do better work When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works . (Image credit: Getty Images) Copy link Facebook X Reddit Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter For the past two years, we’ve been flooded with warnings about AI replacing workers . And, every few weeks, another company announces layoffs . If you’ve spent any time on LinkedIn lately, you’d be forgiven for thinking the future workplace will consist of a handful of managers overseeing armies of AI agents . But a new prediction from research firm Gartner suggests the reality may be far more complicated. According to the report, by 2027, half of the companies that replaced customer service agents with AI are expected to hire them back. The pivot isn’t happening because AI failed, but because executives are discovering a critical distinction: reducing your payroll and adding real value are not the same thing. The first wave of AI was all about replacement When generative AI exploded into the mainstream after ChatGPT launched in late 2022, many businesses saw an opportunity to replace employees with artificial intelligence. Some companies moved quickly to reduce headcount. Others froze hiring while waiting to see how much work AI could absorb. Latest Videos From Watch full video here: The logic seemed straightforward; if AI can perform tasks that humans previously handled, businesses should be able to save money by employing fewer people. But according to Gartner, the organizations seeing the strongest returns from AI aren’t necessarily the ones making the deepest cuts. Instead, they are often the companies investing in training, redesigning workflows and helping employees work alongside AI rather than replacing them entirely. You may like Even the people building AI don’t know exactly where it’s going AI won’t replace you — but these 7 prompts give you the ultimate edge SpaceX just spent $60 billion on Cursor — and it proves AI chatbots aren’t the future anymore AI can handle tasks — but jobs are more than tasks One of the biggest mistakes people make when talking about AI is assuming that jobs are simply collections of individual tasks. In reality, most jobs involve a mix of responsibilities that are difficult to separate. Take customer service as an example. An AI chatbot may be excellent at answering routine questions about shipping policies, account details or product information. But frustrated customers often need more than a technically correct answer. They may need empathy, judgment, negotiation or reassurance. Those are areas where humans still tend to outperform machines. Tom’s Guide: Direct to Your Inbox Get instant access to breaking news, the hottest reviews, great deals and helpful tips. Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. The same principle applies across nearly every industry. AI can help writers draft content, but it doesn’t automatically understand audience expectations, editorial strategy or cultural context. And sure, AI can generate software code, but it doesn’t necessarily understand business priorities or long-term product decisions. Not to mention, AI can certainly analyze data, but human leaders still need to decide what actions to take based on that information. It’s tempting to interpret Gartner’s prediction as evidence that AI isn’t as powerful as promised. But I really don’t think that’s the takeaway. Instead, it shows that AI systems are becoming more capable at an astonishing pace, but human
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