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Post by : Badri Ariffin
The global automotive sector's swift shift towards artificial intelligence might face a substantial deceleration, as a recent analysis indicates that only a limited number of automakers will likely sustain significant AI investments in the future.
As per insights from technology research firm Gartner, currently, over 95% of automakers are investing heavily in AI development, but this figure is projected to drop drastically to just 5% by 2029. These findings imply that the current enthusiasm may not translate into a long-term strategy, particularly as economic constraints and internal challenges mount.
This report underscores a growing divide between firms equipped with strong software capabilities versus those still entrenched in traditional engineering practices. While tech-savvy competitors like Tesla and China's BYD continue to advance with software-driven production, numerous legacy automakers find themselves hindered by outdated frameworks and sluggish decision-making processes.
Volkswagen and other well-established companies are attempting to revamp their software environments, yet progress has been inconsistent. Industry analysts point out that traditional players grapple with significant obstacles—from siloed operations to aging development infrastructures—that hinder their transition to a digital-first paradigm.
The research emphasizes that ongoing AI advancement will be heavily reliant on automakers' ability to enhance internal workflows and elevate technological leadership within their companies. If these transformations do not take place, firms may find it difficult to keep pace with the increasing impetus toward autonomous systems, connected vehicles, and software-oriented mobility services.
As the industry approaches 2030, the insights project a landscape of pronounced disparity—where only a handful of manufacturers may emerge with the technological prowess necessary to spearhead the forthcoming era of global mobility.
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