The Automotive Squeeze: How AI and the EV Transition Are Reshaping Czechia's Škoda-Anchored Supply Chain

Škoda Auto's electrification push has moved from announcement to physical infrastructure. The company has opened a €205m battery systems assembly hall at its Mladá Boleslav plant — a 55,000 square-metre facility that Volkswagen Group describes as its largest battery-systems production site, capable of assembling one battery system every 60 seconds, for a daily capacity exceeding 1,100 units and annual output of up to 335,000. The facility is the first in Europe within the Volkswagen Group to manufacture cell-to-pack battery systems for high-volume electric vehicles, and runs at 84 per cent automation across 131 robots. Škoda has said standardising cell formats and adopting lithium-iron-phosphate chemistry has cut battery product costs by around 30 per cent compared with the group's current MEB-generation batteries — cost engineering that will matter considerably as the company works to make electric models price-competitive with combustion equivalents.

The structural exposure

Czechia's automotive sector carries a specific vulnerability that distinguishes it from other European producers: heavy dependence on German demand, which remains the country's top export destination, combined with an industrial base still substantially organised around internal-combustion-engine components. The EV transition threatens that base directly — a component supplier optimised for engine blocks, transmissions and exhaust systems does not automatically have a role in a supply chain built around battery packs, e-motors and power electronics. Labour shortages and an ageing population compound the pressure, constraining how quickly the workforce itself can be retrained even where demand for new skills exists.

Where AI enters the supply chain

Automotive manufacturers globally are treating 2026 as an inflection point for AI in supply chain operations specifically, according to supply chain industry analysis — not simply for AI-assisted design or marketing, but for the operational core: demand forecasting, supplier risk monitoring, and increasingly, agentic AI systems that can make decisions and execute multi-step logistics tasks with reduced human oversight. Škoda's own digital transformation illustrates the pattern directly: the company has partnered with IBM Consulting to rebuild its logistics operations on SAP S/4HANA, replacing a patchwork of disconnected legacy applications with a centralised, standardised platform explicitly designed to support the kind of AI-driven decision-making the company expects to need going forward. Industry analysis from IBM's Institute for Business Value projects that 74 per cent of automotive executives expect vehicles themselves to be software-defined and AI-powered by 2035 — a forecast that reframes the current supply-chain AI investment not as a cost-cutting exercise but as preparation for a fundamentally different product.

The workforce question

The tension automakers face globally — and Czech suppliers specifically — is how to capture AI's productivity gains in supply chain operations without triggering the workforce anxiety that can stall adoption. Industry analysis emphasises that effective AI rollout in manufacturing and automotive settings depends heavily on parallel upskilling: data-science-led training programmes that pair experienced analysts with supply-chain staff, rather than simply automating roles outright. For Czech suppliers, this upskilling imperative arrives on top of, not instead of, the retraining already required by the EV transition itself — a double transition that smaller Tier 2 and Tier 3 suppliers, in particular, may lack the capital to manage on their own timeline.

What to watch through the rest of 2026

The most consequential variable for the Czech automotive supply chain in the near term is less the pace of AI adoption at flagship producers like Škoda — which have the capital and consulting relationships to move quickly — and more whether the smaller domestic supplier base can co-invest in both electrification retooling and AI-driven operational systems simultaneously. Given the sector's outsized share of Czech industrial employment and exports, how that question resolves will shape not just individual company balance sheets but a meaningful share of the country's broader industrial competitiveness through the rest of the decade.