AXA just put a number on what AI is worth to a major insurer. The company revealed its “Growing Forward” strategic plan at Investor Day, targeting between 500 million and 700 million euros per year in recurring AI value by 2029. That’s not a gross saving that ignores implementation costs. That’s pre-tax value net of what the technology costs to deploy and run. CEO Thomas Buberl made it clear that AI doesn’t sit in a lab at AXA. It’s live and it’s already everywhere across the organization, touching every part of the business from underwriting to claims to customer service.
The specificity of AXA’s targets is notable. They’re not talking about vague AI aspirations. They’re talking about specific euros of value generated by specific AI applications in specific business lines. In motor claims, a programme piloted in Switzerland uses AI-powered visual damage assessment that completes in under four minutes and automatically handles 95 percent of car-body and non-steered auto-glass repairs. AXA plans to scale that from covering 7 percent of its retail motor book in 2025 to 28 percent by 2029. That’s a fourfold increase in AI coverage in four years.
Where AI Is Already Working at AXA
In contact centers, a similar transformation piloted in Italy has cut average handling time using AI-powered agents and automated call transcription. The pilot is set to expand from 34 percent of retail premium volume covered today to 61 percent by 2029. That’s a massive expansion that will save hundreds of millions of euros in operating costs while improving customer experience through faster, more consistent service. The ROI is clear and measurable, which is why AXA is investing so aggressively.
Eighty-three percent of insurers surveyed globally say they would let AI handle repeatable work. But only 6 percent would trust a general-purpose AI model alone for high-consequence decisions like underwriting and claims adjudication. The gap between ambition and reality is real and significant. AXA’s approach shows what AI strategies look like when they’re tied to specific financial targets and implemented with proper governance and oversight.
The insurance industry is conservative by nature. Risk management is literally the core of the business. So when a company like AXA goes all-in on AI, it sends a powerful signal to the entire industry. If the most risk-averse industry in the world is embracing AI this aggressively, every other industry should be paying attention. The technology is mature enough for production deployment in even the most regulated environments.
What This Means for Your Business
If AXA can save 700 million euros annually with AI, every business should be asking what AI can do for their operations. The insurance industry is conservative by nature. If they’re going all in on AI, the rest of us should pay attention. The tools are available. The ROI is proven. The only question is whether you’ll be an early adopter or a late follower. Early adopters capture disproportionate value. Late followers pay more for less. That’s the pattern in every technology adoption cycle, and AI is no different.
The key lesson from AXA’s approach is specificity. They didn’t set vague AI goals. They identified specific use cases, measured current performance, set concrete improvement targets, and built a timeline for scaling. That specificity makes the AI strategy actionable and measurable. It also makes it accountable. When you set a target of 28 percent motor book coverage by 2029, everyone knows exactly what success looks like. There’s no ambiguity about whether the AI investment is paying off. That clarity drives execution and alignment across the organization.
The broader insurance industry is watching AXA closely. If their AI investments deliver the promised returns, other insurers will accelerate their own AI programs. If they fall short, it will give conservative insurers ammunition to delay their own investments. Either way, AXA’s transparency about AI value creation is raising the bar for the entire industry. They’re forcing competitors to either match their ambition or explain why they’re not. That competitive pressure is healthy for the industry and good for customers who will benefit from more efficient, more responsive insurance services.
The bottom line is this. AI is delivering measurable, significant value to insurance companies right now. Not in five years. Not in theory. Right now, in production, generating hundreds of millions of euros in value annually. If you’re in insurance or any industry with repetitive processes, the question isn’t whether AI can help. It’s whether you’ll be the one who adopts it first or the one who gets disrupted by competitors who do. AXA has shown the way. Follow their lead or get left behind. The choice is yours, but the window for choosing is narrowing every quarter.
Start with repetitive tasks. Claims processing, customer service, data entry, document review, compliance checks. These are the low-hanging fruit that deliver measurable results fast. The ROI is there. You just have to go find it. Don’t try to transform your entire operation overnight. Pick one high-impact area, implement AI there, measure the results, and then expand. That incremental approach reduces risk while building the organizational capability and confidence needed for broader AI adoption across your business.
