Autonomous vehicles and artificial intelligence (AI)-driven insurance platforms have not yet made a visible dent in motor insurers' earnings but the sector may be heading into a period of sttructural pressure that equity markets are only beginning to price in, according to new research from Barclays.
In a note to investors, Claudia Gaspari, analyst at Barclays, argued that motor insurers could be facing "prolonged structural headwinds" as autonomous driving technology and AI-enabled platforms evolve. The bank is not calling for imminent earnings downgrades but said the risk is a slow-moving one that could weigh on valuations in a sector already grappling with cyclical pricing issues and subdued EPS growth.
Motor accounts for roughly 35% to 40% of global property and casualty (P&C) premiums, making it the single largest revenue pool in the sector. Any long‑term erosion in that pool as a result of autonomous vehicles or AI‑based distribution would therefore have outsize implications for insurers’ top lines and capital allocation decisions.
Barclays does not forecast the disappearance of retail motor insurers, but it warned that carriers perceived as being on the wrong side of the AI and autonomy shift could face additional multiple compression.
The bank estimated that being seen as an “AI loser” might trigger a further de‑rating of 5% to 25% for more exposed names, based on its analysis of other sectors where stocks have been judged structurally disadvantaged by AI developments.
The report noted that this narrative is developing against a backdrop of mounting cyclical pressure in P&C pricing and limited earnings momentum. With few short-term positive catalysts, there may be little to counteract a negative structural story if it gains traction.
Barclays highlighted the UK retail motor market as "most immediately exposed." The market is already intensely competitive and heavily disintermediated, with price comparison websites entrenched and pricing under pressure. The UK's legislative framework for autonomous vehicles is relatively advanced, and robotaxis have been trialled on London streets, raising questions about the future role of private car ownership in urban areas.
Within that market, the bank flagged Aviva as particularly sensitive, noting that around 23% of the group’s profits come from personal motor. With limited near‑term stock‑specific catalysts, Barclays argued that such exposure could leave the shares vulnerable to further de‑rating if investors embrace a bearish AI/autonomy narrative.
Smaller domestic players and insurers dependent on traditional agent distribution models were also seen as potentially at risk if AI‑led platforms accelerate price transparency and disintermediation, according to the report.
In continental Europe, Barclays expects adoption of fully autonomous vehicles to be slower, but said that does not remove risk. Margins in European motor have further to fall, in the bank’s view, and distribution remains more agent‑heavy, leaving some incumbents more exposed to platform disruption over time.
In the Nordic region, Sampo was highlighted as having the highest motor exposure and additional sensitivity via its ownership of UK‑based Hastings. Gjensidige derives around 30% of its premiums from motor.
Norway, where both write business, has the highest electric vehicle penetration in Europe and has been relatively advanced in piloting autonomous vehicle legislation, including in the Oslo area. High EV penetration does not automatically translate into near‑term autonomy, but Barclays said it reinforces the perception that the region sits closer to the technological frontier, which may shape investor positioning.
The Barclays note focuses on revenue risk from safer vehicles and new platforms, but industry executives pointed out that AI is also being embedded within insurers’ own operations – in pricing, fraud detection, claims triage and customer engagement – potentially creating “AI winners” even within a shrinking personal motor pool.
At the same time, the regulatory environment is evolving in ways that could shift liability rather than simply erode premiums. The UK’s automated vehicle legislation and parallel work in the EU on product liability and AI regulation are expected to move some responsibility from individual drivers towards manufacturers, software providers and systems operators. That raises questions about how premium will migrate between personal motor, product liability and specialist commercial lines over time.
For now, however, Barclays’ core argument is that the sector lacks the growth momentum and clear catalysts needed to resist a structural bear case. If investors conclude that AI and autonomous vehicles will gradually shrink motor premium pools, equity multiples may adjust well before income statements show the impact.
