At the 2026 Association of Insurance and Financial Analysts (AIFA) conference, Autonomous analysts noted that AI adoption in insurance is still in its early stages, and also highlighted the strong interest in data centres, though underwriters remain cautious about aggregation exposure, limiting near-term growth potential.
During the conference, analysts from Jefferies, KBW, and Autonomous discussed the evolving role of AI in insurance and the risks and opportunities shaping the market.
Analysts at Autonomous said AI will help underwriters more efficiently complete low-ROI tasks and streamline client interactions.
They affirmed that deployment is still in early stages, stating that internal productivity improvements remain the first stage of expected AI impact, with claims servicing efficiency as the second. Messaging on bottom-line impact varied according to overall underwriter progress in adopting AI.
Over the long term, Autonomous expects a few points of expense ratio improvement, modest loss ratio benefits as AI reduces risk-assessment leakage and increases underwriting precision, and overall workforce reduction.
Autonomous also highlighted how major insurers are approaching AI deployment and its impact on costs and workforce: “Recall that Chubb (OP) previously highlighted a 20% workforce reduction over the next three to four years along with expense ratio improvement. That being said, our conversations didn’t suggest we’ll see near‐term lay-offs, and the timeline on broader cost-savings remains years-long. Hartford (OP) reiterated that its deployment of AI is important but not integral to its sub-30% expense ratio ambitions, and Travelers (OP) noted most of its medium-term AI- driven cost savings will eventually be reinvested back into the business. AIG (N) highlighted that AI efforts have so far concentrated on front‐end capabilities and may generate cost benefits over time, including opportunities not yet contemplated at the March 2025 investor day.”
On the data centre opportunity, Autonomous noted that demand is strong across both insurance and reinsurance.
“While the demand presents an opportunity for unusual soft market growth, the new and rapidly evolving nature of data centre risks don’t translate to a robust near-term driver of growth, particularly as underwriters remain conservative around aggregation exposure. Until the industry has a clearer picture of just how much risk-financing is truly needed for data centre investments, we expect growth messaging to remain restrained,” said analysts.
Hiscox has expressed a similar view, noting interest in the growth potential of data centres while remaining cautious about the associated accumulation risk.
Analysts at KBW said AI usage has moved past the experimental phase and is now being deployed to drive tangible operational efficiencies across claims processing, underwriting, marketing, and more.
“Proprietary data is a crucial competitive advantage for carriers and brokers, but having the IT systems in place to utilise that data effectively is essential,” said KBW.
They noted a shift in large incumbent carriers’ willingness to collaborate with smaller players, driven by board-level pressure to innovate and the fear of being left behind. KBW stated that the speed of AI adoption has improved, making it significantly easier for legacy players to integrate their systems with new technologies than a decade ago. As a result, there has been a healthy appetite for strategic partnerships and niche M&A across the industry.
KBW added, “Regarding concerns that large tech companies could develop their own insurance platforms and disrupt incumbents, executives emphasised that high-growth tech models are misaligned with the regulatory burdens of the P&C industry. The complex, fragmented, state-by-state regulatory landscape in the U.S. is a barrier to entry, which we agree could prevent tech companies from getting licensed and thus should insulate traditional players (at least in the near term).”
Analysts expect carrier pushback to be a major obstacle to the widespread adoption of AI-driven, side-by-side quote comparison tools. Binding a policy directly through an AI platform would require carriers to willingly share their pricing models, which KBW believes is unlikely.
Executives acknowledged that less complex lines, such as personal auto, will be easier to disrupt than multiline or commercial lines, but they also highlighted new opportunities associated with AI, including the rise of cyber insurance.
Meanwhile, analysts at Jefferies noted that AI is already improving speed, efficiency, and accuracy across underwriting, claims handling, and document ingestion. Although some expense benefits are emerging, analysts suggest larger savings are still ahead. Fears of widespread disintermediation, particularly in commercial insurance and brokerage, are viewed as overstated in the near term.
