"We're committed to strengthening co-workers' employability in Ingka or elsewhere through lifelong learning and development and reskilling."
— Ulrika Bieserërt, People & Culture Manager, Ingka Group (IKEA)
First, a correction to a story that gets retold the wrong way constantly: IKEA did not replace 8,500 customer service workers with AI. The opposite happened. After its "Billie" chatbot grew to resolve 47% of all customer inquiries, IKEA's parent company Ingka Group reskilled those 8,500 call-centre co-workers into remote interior design advisors rather than laying them off, and that new channel now generates roughly 1.3 billion euros a year. It is one of the most important case studies in the entire AI-and-jobs debate, precisely because it shows automation and employment are not always a zero-sum trade. Here is what IKEA actually did, the numbers behind it, and why it is becoming the template smart companies are copying.
What Billie Actually Does
Billie is the AI-powered customer service chatbot that Ingka Group rolled out in fiscal year 2021. It is not a gimmick. By 2023 it was resolving about 47% of inbound customer inquiries, having handled roughly 3.2 million interactions covering product information and recommendations, and it produced nearly 13 million euros in operating savings through 2023. Available around the clock across time zones, Billie took on exactly the kind of repetitive, high-volume queries that make traditional call-centre work exhausting and expensive.
On paper, that is the classic setup for a layoff announcement. A chatbot absorbs nearly half the workload, so the headcount that used to handle that workload looks redundant. Most companies would have stopped the analysis right there.
The Decision That Made the Difference
IKEA asked a different question: not "how many people can we cut?" but "what could these people do that the chatbot never can?" The answer was interior design. The company retrained 8,500 call-centre co-workers into remote interior design advisors, equipping them with new competencies in remote design consultation, digital retail sales, room planning, relationship building, and the kind of complex problem-solving a chatbot cannot handle. The repetitive work went to Billie; the human work went up a level, into creative, high-touch advice that customers will actually pay for.
Key Takeaway
The strategic move was to treat AI as a way to free up human capacity, not to delete it. Automating 47% of inquiries did not have to mean cutting 47% of staff. It meant 8,500 people were suddenly available to do higher-value work that did not exist as a scaled service before.
Turning a Cost Centre Into a 1.3 Billion Euro Business
This is where the story stops being a feel-good HR anecdote and becomes a business case. The remote interior design channel that those reskilled workers now staff generated 1.3 billion euros in sales by the end of fiscal year 2022, equal to 3.3% of Ingka's total sales, and the company has set a target to grow it to 10% of revenue in the years ahead. In fiscal year 2025, the remote planning service helped more than 73,000 customers with furniture and kitchen design. A traditional call centre is a cost to be minimized. IKEA converted it into a revenue-generating consultancy, which is a fundamentally different thing to own on a balance sheet.
Why the "AI Replaced Them" Version Spreads Anyway
It is worth pausing on why the inaccurate "IKEA replaced 8,500 workers with AI" framing keeps circulating. It is a cleaner, more dramatic story, and it fits the prevailing anxiety that automation inevitably means mass job loss. That anxiety is not baseless, and we have written about the harder edges of it, from the workforce-disruption risks that come with generative AI to the bigger question of how society should share the gains when machines absorb routine work. But the IKEA case is valuable precisely because it is a documented counterexample. The company has stated it is not seeing a reduction in headcount due to AI. The facts simply do not match the viral version.
The Reskilling Playbook Behind It
IKEA's move was not a one-off act of goodwill; it sits inside a deliberate, ongoing investment in skills. Ingka has run an AI literacy initiative targeting 30,000 workers, with more than 4,000 employees trained during fiscal year 2024 alone. That is the part most companies underestimate. Reskilling at this scale only works if it is treated as core strategy with real budget and executive ownership, not as a training afterthought. It is the corporate embodiment of the shift we described in our piece on why continuous reinvention has replaced the single fixed career: the same logic that applies to individual careers applies to how forward-looking employers manage their workforces.
The Pattern Other Companies Are Copying
Identify the repetitive work AI can absorb, quantify the human capacity it frees up, and then redeploy that capacity into higher-value, harder-to-automate work that customers value. Done right, the automation pays for the reskilling, and the reskilling opens a new revenue line. That is a very different equation from "automate and cut."
What Enterprise Leaders Should Take From It
The lesson is not that layoffs are never warranted or that every call centre can become a billion-euro design studio. It is that the reflex to equate automation with headcount reduction leaves enormous value on the table. The same capability shift is coming for knowledge work too, as AI skills get absorbed into everyday roles rather than staying the domain of specialists, and the organizations that win will be the ones that ask what their people could do with their freed-up time rather than how quickly they can remove them. IKEA spent its automation dividend on its own workforce, and it bought both loyalty and a new business in the process.
So the next time you see the claim that IKEA replaced 8,500 workers with AI, remember that the truth is more useful than the myth. The chatbot took the calls. The people took on the creative work. And the company turned what could have been a cost-cutting press release into 1.3 billion euros of new revenue. That is the version worth learning from.