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The Automotive Skills Gap: Reskilling Combustion-Engine Talent for the EV Era

2025-09-12 · 9 min read

Maya Chen
Maya Chen
Data Science Lead
Deloitte and The Manufacturing Institute project the U.S. manufacturing skills gap could leave 2.4 million positions unfilled and put $2.5 trillion in GDP at risk over the coming decade, with shifting skillsets from automation and baby-boomer retirement cited as the two leading drivers. Globally, automakers and suppliers are responding with large-scale reskilling programs — Tata Motors alone is retraining more than 50% of its workforce — even as suppliers like Bosch and ZF cut thousands of ICE-era jobs.

The automotive skills gap is usually framed as a shortage of new-economy talent: software engineers, battery scientists, autonomous-driving specialists. That's real, but it's only half the story. The other half is what happens to the enormous existing workforce whose skills were built entirely around the internal combustion engine — and whether the industry can turn that workforce into an asset instead of a liability.

How big is the manufacturing skills gap driving this?

Large enough to threaten a meaningful share of industry GDP. Deloitte and The Manufacturing Institute project the U.S. manufacturing skills gap could leave an estimated 2.4 million positions unfilled and put $2.5 trillion in manufacturing GDP at risk over the coming decade (Deloitte/The Manufacturing Institute). Manufacturers cite shifting skillsets from new technology and automation, and the retirement of baby boomers, as the two leading structural drivers of the gap, with 50% of manufacturers already having adopted automation and citing critical thinking, programming, and digital skills as the top capabilities needed going forward (Deloitte/Manufacturing Institute).

Is the industry treating this as a hiring problem or a reskilling problem?

Increasingly, both at once — and the most advanced example is global. Tata Motors has committed to reskilling more than 50% of its workforce (with over 57,000 employees at various stages of training) to move mechanical engineers who worked on internal combustion engines into electronics and software disciplines, in partnership with academic institutions and a nationwide “learn & earn” apprenticeship model (The Hindu). That scale of internal reskilling is effectively a parallel talent-supply strategy to external hiring — treating the existing ICE-trained workforce as a sourceable pool for EV roles rather than a group to be displaced.

Is the supply base handling this transition as well as the OEMs?

Not uniformly — and the strain is visible in major supplier restructuring. Bosch announced plans to cut 13,000 jobs (10% of its German workforce), and ZF Group announced it would lay off 7,600 employees in its electrified powertrain unit by 2030, as global suppliers restructure around slower-than-expected EV adoption curves (MotorBiscuit). Those cuts represent a large, involuntarily displaced pool of ICE-trained engineers and technicians — many of whom carry exactly the kind of mechanical and systems expertise that, with targeted reskilling, could fill EV and battery-manufacturing roles elsewhere in the industry.

Why does this matter for how companies source talent, not just train it?

Because reskilling only works if the right candidates are identified in the first place. A mechanical engineer displaced from a combustion-powertrain supplier isn't automatically visible to a battery-plant recruiter searching standard job boards for “EV engineer” keywords — their resume reflects ICE-era terminology and experience, not the EV-specific language a keyword search expects. Sourcing that can identify transferable skill signals, not just keyword matches, is what turns a supplier layoff into another company's reskilling opportunity rather than a permanent talent loss to the industry.

Every ICE engineer laid off by a struggling supplier is either a wasted skill set or an EV company's next hire. The difference is whether anyone's sourcing process can actually see them.

What does this mean at the volume automotive operates at?

It means reskilling-to-hiring pipelines need to operate at industrial scale, not as boutique programs. With GM alone recording $7.1 billion in special charges in a recent quarter, including $6 billion tied to its EV plans, and selling its stake in the Ultium Cells battery plant to LG Energy Solution (The Next Web), and Stellantis posting a €22.3 billion net loss for a recent fiscal year following an EV write-down (WardsAuto), the industry's EV strategy volatility is producing large, repeated waves of displaced ICE talent that need to be re-matched to new roles quickly, not gradually.

Is there a compensation dimension to who gets reskilled and who gets hired externally?

Very much so. Reskilling an existing ICE-trained engineer is typically far less expensive than competing externally for scarce EV/software talent priced against Tesla, Rivian, or Big Tech benchmarks — automotive software engineer pay already sits in the $100K–$158K range nationally (Glassdoor), and traditional OEMs already trail EV-native rivals on pay for that talent (TechRepublic). That cost gap is a strong structural argument for treating internal and supplier-displaced ICE talent as a primary reskilling source rather than a fallback option.

What specific skills are manufacturers prioritizing as they retrain this workforce?

Critical thinking, programming, and digital skills top the list. With 50% of manufacturers already having adopted automation, employers cite these three capabilities as the top skills needed going forward, alongside the continuing decline of manual, repetitive skill requirements (Deloitte/Manufacturing Institute) — a skills profile that maps closely onto what ICE-trained mechanical engineers need to add, rather than replace, to move into EV and battery-systems roles.

UPPER's POV

The automotive skills gap isn't solved only by finding new software talent — it's solved by correctly identifying which of the industry's existing, ICE-trained engineers and technicians are strong reskilling candidates for EV, battery, and software roles. UPPER's autonomous sourcing is built to surface transferable skill signals rather than rely on keyword matching alone, identifying internal or externally displaced ICE-trained talent from OEMs and suppliers undergoing restructuring as legitimate candidates for the industry's EV-era roles. That reframes supplier layoffs from pure talent loss into a sourceable opportunity for the rest of the industry.

Key data points

References

  1. Deloitte / The Manufacturing Institute — Manufacturing skills gap infographic
  2. The Hindu — Tata Motors to reskill 50% of staff to transition to EV manufacturing
  3. MotorBiscuit — Auto suppliers laying off workers amid EV slowdown (Bosch, ZF)
  4. The Next Web — GM lays off IT workers in AI skills swap
  5. WardsAuto — GM temporarily lays off 1,300 workers at Factory Zero EV plant

Read the interactive version: The Automotive Skills Gap: Reskilling Combustion-Engine Talent for the EV Era