Why automotive repair needs domain-specific AI, not general-purpose models

Despite the noise around frontier AI models, most of the non-tech economy still runs on spreadsheets, manual lookups, and legacy systems.

This is even more so the case in automotive repair, where the gap between what AI promises and what it actually delivers costs the industry real money.

The global auto repair market is worth over $1 trillion but the US alone accounts for more than $180 billion of that annually, spread across more than 250,000 businesses, with no single operator holding more than 5% market share.

CEO and co-founder of Partly.

The average American vehicle is now 12.6 years old, the oldest fleet on record, meaning more frequent repairs, more complex parts, and more pressure on workshops already running on thin margins.

Since 2022, repair costs have risen by 25%, well above general inflation. Despite all of this, the industry still matches parts largely through manual catalogue lookups,...

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