South Korea’s Kia cuts its 2030 EV target by over 20% and plans humanoid robots at US factory

By Vikas

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In a significant strategic shift, Kia cuts its 2030 EV target by over 20%, adjusting its long-term electrification roadmap amid weakening global electric vehicle demand and policy uncertainty in the United States.

EV Sales Target Reduced Amid Market Slowdown

South Korea’s Kia Corp announced that it now aims to sell 1 million electric vehicles by 2030, lowering its original target of 1.26 million units set last year. This move confirms that Kia cuts its 2030 EV target by over 20%, reflecting slower-than-expected EV adoption and the impact of the U.S. government removing key EV subsidies.

Alongside the EV adjustment, the automaker also trimmed its total vehicle sales goal. Kia now expects to sell 4.13 million units by 2030, slightly down from its previous projection of 4.19 million, indicating a cautious approach toward future market expansion.

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Humanoid Robots to Transform U.S. Manufacturing

In a bold step toward automation, Kia revealed plans to introduce Atlas humanoid robots, developed by Boston Dynamics, at its Georgia manufacturing plant by 2029. This futuristic move further anchors the narrative that Kia has cut its 2030 EV target by over 20% while simultaneously accelerating innovation in production.

Initially, these robots will handle repetitive parts-sequencing tasks, reducing manual workload and improving precision. By 2030, their role is expected to expand into more complex assembly operations, marking a milestone in next-generation automotive manufacturing.

Part of Hyundai Motor Group’s “Physical AI” Vision

The robot deployment aligns with Hyundai Motor Group’s broader initiative to integrate advanced physical AI technologies across its factories. The group also aims to establish a facility capable of producing 30,000 robots annually by 2028, signaling a large-scale shift toward intelligent automation.

As Kia cuts its 2030 EV target, the company simultaneously reinforces its long-term commitment to smart manufacturing and operational efficiency, reshaping the future of mobility and production.

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