AI Boom Triggers Component Shortages, Squeezing Smart EV Costs for Chinese Automakers
Nashnova编辑部
AI data-center buildouts are draining global PCB and MLCC capacity, leaving the auto sector with a 20%–30% parts gap and prices that have more than tripled in a year — forcing China's top carmakers to slow their smart-vehicle push.
What exactly is running short?
The bottleneck is in PCBs — printed circuit boards, the base layers that wire chips and components together — and MLCCs — multilayer ceramic capacitors, tiny parts that stabilize electrical current.
Both are small but essential: without them, autonomous-driving modules and in-car smart systems cannot be assembled.
Industry officials estimate the global auto-parts gap at 20%–30%, with prices more than tripling over the past year.
Why the sudden squeeze?
The root cause is AI's explosive growth: data centers worldwide are expanding fast, and they consume the same PCBs and MLCCs that cars need.
This means → automakers and AI server builders are competing for the same pool of components — and AI buyers pay more and order faster, pushing cars to the back of the queue.
In plain terms = building AI servers and building smart cars require many of the same parts; the AI side has deeper pockets and bigger orders, so carmakers lose the bidding war.
How hard does this hit Chinese carmakers?
Chen Jinzhu, CEO of Shanghai Mingliang Auto Services, noted that EV demand is already softening, yet top brands still rely on smart features to attract buyers — the parts shortage strikes right at their selling point.
Geely's Dai Yong said the main cost pressure comes from memory chips, while PCB and MLCC shortages further disrupt production rhythm and delay final assembly.
This reflects a core mismatch: carmakers are racing to make vehicles smarter, but the supply chain needs at least one year to catch up — the timelines do not align.
When will the gap close?
Industry officials and analysts expect global supply chains will need at least a year to ramp capacity to meet demand.
This means → over the next year, rising component prices and delivery delays will likely persist; carmakers must either absorb the costs or slow their smart-feature rollout.
In plain terms = there is no quick fix — China's leading carmakers will spend the coming year caught between "accelerate intelligence" and "control costs."
Content is for reference only, not financial advice.