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AI: Jobs, Power & Money
27JUL

Ford and IBM start undoing AI cuts

3 min read
10:02UTC

Ford is rehiring engineers its automation could not replace, and IBM will triple US entry-level hiring after its AI recruitment system failed the hardest cases.

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EconomicDeveloping
Key takeaway

Ford and IBM are rehiring after AI cuts fell short, the first payroll sign of the overshoot correcting.

Ford is rehiring hundreds of experienced engineers for quality-control work its automated systems could not handle, and IBM has said it will triple US entry-level hiring across all business units in 2026 after its own artificial-intelligence (AI) human-resources system failed the hardest 6% of requests 1. Charles Poon, Ford's vice-president for vehicle hardware engineering, put it plainly: "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it."

Orgvue first quantified the regret in March, when 55% of leaders who had cut for AI called the decision wrong , and Klarna had by then rehired customer-service agents after admitting it "went too far" on automation . The staffing firm Robert Half NOW adds fresh payroll evidence, reporting 32% of US hiring managers eliminated a role for AI, then rehired for the same or a similar one 2. Ford and IBM turn that survey signal into hiring action at industrial scale, extending the overshoot this beat has tracked since ResumeBuilder found 59% of firms had overstated AI's role in their cuts , the pattern MIT Sloan's Paul Osterman described when he called AI attribution a cover story for pre-planned reductions .

Both reversals point to the same limit, the last-mile problem: automation clears the routine bulk cheaply but breaks on the judgment-heavy residual, and the cost of that failure, whether a vehicle recall or a mishandled hiring case, can exceed the wage bill it displaced. IBM's chief human-resources officer Nickle LaMoreaux framed the correction as pipeline defence, warning that cutting entry-level hiring NOW means "the well simply dries up" in three to five years 3. None of the July evidence is payroll-hard at the level of an official series; the corroborating surveys are vendor-adjacent, and no national dataset yet confirms net AI-driven rehiring at scale.

Deep Analysis

In plain English

Ford and IBM cut jobs earlier in the AI rollout and are now hiring some of them back. Ford brought engineers back to catch quality problems its automated systems missed, and IBM will triple entry-level hiring because a system that failed to fully process job requests had also cut off the pipeline of junior staff who normally grow into senior roles. Surveys back up the pattern: more than half of leaders who made AI-driven job cuts now say they were wrong, and about a third of hiring managers have already rehired someone let go because of AI.

Deep Analysis
Root Causes

The original cuts were made on earnings-season timelines that reward an AI-efficiency story to investors, while the downstream cost, Ford's defect-rate rise or IBM's thinning entry-level pipeline, only becomes visible a full hiring cycle later, longer than the quarterly disclosure window that drove the decision, the pattern Orgvue's regret survey first quantified.

IBM's own admission that 6% of automated HR requests failed points to a narrower structural cause: entry-level roles function as a training pipeline for judgment IBM's AI cannot yet exercise, so cutting them removes future capacity rather than current cost.

What could happen next?
  • Consequence

    Ford and IBM's reversals give hiring managers elsewhere public cover to slow AI-driven cuts without appearing to reject the technology outright.

  • Precedent

    IBM tying entry-level cuts to a thinned future leadership pipeline sets a structural argument other large employers may use to justify reversing similar reductions.

Sources:CNBC
Mentions:Ford →IBM →Robert Half →Klarna →Paul Osterman →Pune →NASSCOM →India →ResumeBuilder →Orgvue →
First Reported In

Update #16 · AI layoffs fall, but the reversals begin

CNBC· 9 Jul 2026
Read original →
Causes and effects
Caused by
The AI layoffs nobody is counting
Ford and IBM's reversals advance the overshoot pattern ResumeBuilder first quantified.
Occurred 1 Mar 2026
Read story →
MIT economist: AI layoffs are a cover story
The rehiring cluster tests Osterman's cover-story thesis against measurable payroll action.
Occurred 31 May 2026
Read story →
This Event
Ford and IBM start undoing AI cuts
The first measurable rehiring turns the AI-overshoot thesis from survey signal into payroll action, though the evidence remains early.
Led to
A year-old reversal, laundered as news
Ford and IBM's confirmed reversals gave content farms a genuine template to append a stale Commonwealth Bank story to.
Occurred 17 Jul 2026
Read story →
Who actually said the word AI
Ford's and IBM's reversals after AI cuts fell short reinforce the fortnight's pattern of employers retreating from the AI framing.
Occurred 21 Jul 2026
Read story →
Different Perspectives
European Commission
European Commission
The European Commission's draft Annex III guidelines, closed for comment on 23 July, treat algorithmic scoring in recruitment, pay and termination as high-risk regardless of whether a human signs off, echoing Spain's Audiencia Nacional ruling 101/2026 on concealed scheduling algorithms. Brussels is shifting the fight from counting AI job losses to assigning legal liability for the tools themselves.
Office for National Statistics
Office for National Statistics
The Office for National Statistics recorded UK vacancies rising to 712,000 on 21 July, the first quarterly increase this beat has tracked, with payrolled employment down 85,000 on the year against May's 210,000 fall. The bulletin names no AI cause anywhere, and that is the point: nothing in the release confirms the displacement story it gets cited to support.
Christian Klein, SAP
Christian Klein, SAP
Christian Klein told investors on 23 July that SAP's research headcount will not grow for twelve months because AI agents and their token costs are absorbing the work, not because SAP is cutting jobs. He frames it as commercial arithmetic: the cost of AI-assisted coding tokens plus the salaries specialist AI hires command, not people being replaced by machines.
Betsey Stevenson, University of Michigan
Betsey Stevenson, University of Michigan
Betsey Stevenson argued that the 187,000 jobless-claims reading describes a market that hires little and fires little, not one AI is emptying. She said the real damage hides in eligibility rules and suppressed job postings, not in the headline layoff counts employers keep denying.
Comisiones Obreras, UGT and Concentrix's A Coruña works committee
Comisiones Obreras, UGT and Concentrix's A Coruña works committee
Comisiones Obreras, UGT and Concentrix's A Coruña works committee blamed Microsoft's push toward AI self-service for the 80 redundancies unions signed off on 22 July, not unavoidable business cause. A second Coruña procedure covering 80 more jobs runs to a 31 August deadline, and the unions want the state, not the employer, setting the pace of AI-driven cuts.
Stanford's 'We Must Act Now' signatories
Stanford's 'We Must Act Now' signatories
More than 200 academics, including 16 Nobel laureates, published a 13 July letter warning of AI-driven labour disruption, citing Daron Acemoglu's NBER estimate that AI's total factor productivity gain stays under 0.66% over ten years. The letter's own cited economics sit well below Goldman Sachs Research's 1.5-percentage-point estimate published the same week.