July 21, 2026
IKEA, Lloyds and Aviva Choose Long-Term Workforce Planning Over Quick AI Wins
As AI absorbs more of the work colleagues used to do, many employers default to a productivity-first response: cut headcount, bank the efficiency. IKEA, Lloyds Banking Group and Aviva are doing something different. They are prioritising long-term workforce planning and people-first investment, over short-term productivity wins.
IKEA, Lloyds Banking Group and Aviva are not using AI as a reason to prioritise efficiency and headcount reduction. Each is deploying a longer-term, more deliberate approach: reskilling staff for the capabilities the business will need next, rather than laying off people in the roles AI has started to absorb.
That doesn’t mean these companies haven’t cut jobs elsewhere — all three have. But none of those cuts have been pinned on AI, and in each case the reskilled cohort has, so far, been explicitly ring-fenced from the reductions happening in the rest of the business. The point isn’t that these companies are immune to job losses. It’s that when AI changed what a role needed to look like, they chose to build the skill rather than close the headcount.
Each case here follows a similar logic: identify where AI is reshaping the work, then invest in the people already doing it rather than replace them. None of that has stopped separate, unrelated redundancies elsewhere in the business – the sections below cover those too for transparency.
IKEA: How a Chatbot’s Failures Built a €1.3 Billion Service Line
IKEA’s chatbot, ‘Billie’, was built by Ingka Group to handle first-line customer queries: order status, delivery times, product availability. Between 2021 and 2023 it resolved around 47% of the enquiries it received, roughly 3.2 million interactions. That still left 53% unresolved.
Ingka looked closely at what Billie could not handle. Most of the unresolved queries were about interior design; customers wanted to know whether a piece of furniture would suit their home, a judgement the bot could not make.
Rather than cut the call-centre roles the bot had freed up, Ingka retrained around 8,500 customer-facing workers as remote interior design consultants, training them in digital retail sales, room-planning and IKEA’s design systems. The new channel generated €1.3bn in FY22 sales, 3.3% of total revenue, with a target of 10% by 2028. Ingka has also been rolling out AI literacy training across its workforce since 2023, aiming for 100% basic AI literacy among employees by 2027.
The credibility caveat:
In 2026, both entities behind IKEA cut around 1,650 jobs between them. Ingka Group cut roughly 800 office-based Group Functions roles in March; Inter IKEA, the franchisor, cut a further 850 in May, 300 of them in Sweden.
Both rounds were attributed to two consecutive years of declining sales, US tariffs and weakening consumer confidence, and a stated need to simplify a business that had “grown too complex” – not to AI, and not to the reskilled design-consultant cohort. The cuts landed in corporate and office functions, not customer-facing roles.
Lloyds Pairs AI Reskilling With AI Hiring
Lloyds Banking Group has built the most systematic reskilling effort of the three. Since its AI Academy launched in January 2026, colleagues have completed more than 400,000 course modules. The Academy is open to all 67,000 employees, and 65,000 have already completed the mandatory “Working with AI Responsibly” module.
The bank is also recruiting for almost 300 agentic-AI roles as part of a plan to hire 1,000-plus AI-related positions this year, pairing reskilling with actual job creation in a way neither of the other two cases fully does.
There is a business case behind it too. Lloyds says generative AI delivered around £50m of value in 2025, with £100m-plus expected in 2026. Its Athena knowledge platform cuts the time colleagues spend searching for information to answer customer queries by two-thirds, a concrete example of what Lloyds calls “augmentation, not replacement.”
The credibility caveat:
Lloyds is in the middle of closing 245 branches across 2026–27, part of a long-running digital shift rather than a new AI story. Smaller functional redundancies have run alongside this too; around 175 risk-division roles were put at risk in 2024, offset partly by new specialist roles created in the same restructuring.
Aviva: A Reskilling Programme That Reaches Beyond Its Own Staff
Aviva’s Norwich-based Foundry programme launched in 2023, in partnership with Norwich City College and Decoded, to build the region’s digital workforce. It retrains not just Aviva employees but local students and businesses, across four gap areas: business analysis, product ownership, UX design and software development.
Aviva has confirmed 250 employees reskilled through the programme, with 100-plus successfully redeployed into new roles. Public reporting in 2025 put the figures at 200 reskilled and 89 redeployed, so the programme has grown over the past year, a sign it is an ongoing commitment rather than a one-off case study. The programme lead’s title, “Foundry and GenAI Capability Lead,” is itself a marker of AI-specific skills being folded into what was originally a broader digital-reskilling initiative.
The credibility caveat:
Aviva’s largest current workforce reduction has nothing to do with AI. Up to 2,300 jobs (5–7% of the combined workforce) are tied to its £3.7bn Direct Line acquisition, phased over three years. It is straightforward M&A role overlap, and Aviva says much of it will be absorbed through natural turnover and redeployment into around 1,000 UK vacancies.
The Aviva numbers are smaller in absolute terms than IKEA’s or Lloyds’, but its ongoing commitment to upskilling, both employees and the wider community, earned its place on this list.
What These Three Approaches Have in Common
The three cases all differ in their approach. IKEA reskilled to build a new revenue line, while Lloyds is scaling AI literacy across its entire workforce. Aviva is investing beyond its own payroll, into local colleges and businesses.
But what all three examples have in common is that they treated the skills gap AI opened up as a long-term workforce planning problem, not a headcount problem to be solved quickly.
