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Nissan Plans Major Lineup Cuts and AI Expansion in Bid for Global Sales R...

The company aims to integrate its AI driving systems into 90% of its vehicle lineup over time... its AI innovations and adapts to shifting consumer preferences in key markets like the U.S. and...

Nissan Plans Major Lineup Cuts and AI Expansion in Bid for Global Sales R...

Nissan Motor has unveiled a sweeping restructuring strategy aimed at reviving its global presence, announcing plans to reduce its worldwide vehicle lineup from 56 models down to 45. The Japanese automaker is betting on a leaner, more focused portfolio to drive efficiency and sharpen its competitive edge in an increasingly crowded automotive market.

Central to Nissan's long-term vision is a significant push into artificial intelligence-powered driving technology. The company aims to integrate its AI driving systems into 90% of its vehicle lineup over time, positioning itself as a serious contender in the race toward smarter, more connected cars. This move signals Nissan's commitment to staying relevant as consumer demand for advanced driver-assistance systems and autonomous features continues to grow.

On the sales front, Nissan has set ambitious regional targets. In the United States — one of the world's most competitive auto markets — the company is targeting a return to annual sales of 1 million vehicles by its 2030 financial year. Domestically, Nissan is aiming to grow its annual sales volume in Japan to 550,000 units within the same timeframe.

The announcements reflect a broader effort by Nissan to stabilize and rebuild following years of financial and organizational turbulence. By trimming its model lineup, the automaker hopes to reduce production costs, streamline operations, and concentrate resources on its highest-performing and most profitable vehicles.

Industry analysts see the strategy as a calculated reset — one that prioritizes quality over quantity while embracing the technological shifts reshaping the automotive landscape. Whether Nissan can execute on these targets will depend heavily on how effectively it deploys its AI innovations and adapts to shifting consumer preferences in key markets like the U.S. and Japan.

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