5 Imperatives Insurers Must Get Right by 2026

Insurers face a critical 18-month window to transform by embracing AI, data-driven innovation, capital flexibility, digital ecosystems, and data-driven decision-making.

Clouds over Forested Hills in Autumn

The insurance industry is at a crossroads. While technology has been reshaping the sector for years, the pace of change is now exponential, and the next 18 months will separate the innovators from the laggards.

The AI playing field is flattening

AI is democratizing access to advanced analytics, leveling the playing field between incumbents and challengers. But that doesn't mean everyone wins. In 2025, AI is no longer a differentiator – it's a baseline. The real edge now lies in how insurers apply AI: embedding it into underwriting, claims, and customer engagement in ways that are proprietary, explainable, and scalable.

The key is to combine AI with deep domain expertise and unique data assets. Insurers must also navigate the ethical and regulatory implications of AI. As AI becomes more embedded in underwriting, pricing and claims, scrutiny over how these systems make decisions is intensifying.

AI systems can unintentionally replicate or amplify biases present in historical data. In insurance, this could lead to proxy discrimination - where seemingly neutral variables correlate with protected characteristics like race, gender or income level. For example, using postal codes or credit scores in pricing models may inadvertently disadvantage certain communities.

This has triggered a wave of regulatory attention. For example, 24 U.S. states have adopted the NAIC's model AI governance framework, requiring insurers to implement robust oversight of AI systems, including documentation, testing and accountability mechanisms.

If insurers fail to act, the consequences could be severe – from legal risk and reputational damage to market distortion and regulatory backlash. The value of AI lies not just in automation but in intelligent, responsible application. That means building explainable models, auditing outcomes for bias and ensuring human oversight in high-impact decisions.

For large insurers, building proprietary models trained on their own data is becoming a key strategic asset. But not all insurers will have the scale or resources to do this alone. Those without the financial or data assets may need to buy, share or co-invest. Turning unstructured data into structured insights - especially in claims, pricing and underwriting - will be a priority. Re-thinking core processes around the possibilities of agentic AI could unlock a new level of value creation.

A strategy for underinsured risks

The protection gap - between insured and total economic losses - remains stubbornly wide. From climate change to cyber risk, many exposures remain underinsured or entirely uninsured.

Technology offers a path forward. By using granular data and advanced analytics, insurers can better understand emerging risks and tailor products to underserved segments, reducing the need for an uncertainty premium and thus improving affordability.

Insurers understanding the risks better also allows them to communicate those risks to policyholders better, providing personalized risk management advice and mitigation techniques. This is especially critical in regions where insurance literacy is low or affordability is a barrier.

Insurers must use data to identify protection gaps, then co-create solutions with communities and partners to close them - profitably and sustainably.

Playing in a world with more diverse capital sources

The capital landscape is shifting. Private equity, insurance-linked securities (ILS) and other alternative sources are flooding into the market, attracted by uncorrelated returns and new risk transfer mechanisms. This influx is reshaping the economics of insurance. The first quarter of 2025 has been as busy as never before, with investors eager to take on insurance risk.

For traditional insurers, this means adapting to a multi-capital world. It's no longer just about balance sheet strength - it's about capital agility. Insurers must learn to partner with, compete against and differentiate themselves from these new players. Ultimately, insurers must develop capital strategies that blend traditional and alternative sources, optimizing for flexibility, cost and risk appetite.

Re-energize digital distribution

Technology continues to transform the distribution landscape. Digital has long been a necessity in most markets, but all distribution channels will profit from higher degrees of automation, more insights at the point of sale and the power of predictive analytics.

Despite this, many insurers are still stuck in "digitized" versions of analog processes. The next frontier is intelligent distribution: using AI, behavioral data and omnichannel platforms to deliver personalized, seamless experiences. In emerging markets, mobile-first platforms are unlocking new customer segments. In mature markets, embedded insurance and API-driven ecosystems are redefining how and where insurance is sold.

In India, for example, mobile technology has expanded reach dramatically. At the same time, however, digital doesn't solve affordability. The challenge is to pair digital reach with product innovation that meets the needs - and budgets - of diverse populations. That means investing in digital ecosystems that go beyond transactions, building platforms that educate, engage and empower customers across the lifecycle.

Do your data homework

Data is the foundation of every transformation mentioned in this article, yet many insurers still struggle with fragmented systems, poor data quality and unclear governance.

In 2025, the bar is higher. Synthetic data, real-time analytics and AI-driven decision-making are becoming table stakes. Insurers must treat data as a strategic asset, investing in infrastructure, governance and culture to unlock its full potential. And that means breaking down silos, standardizing data models and embedding analytics into every decision. It also means upskilling teams and fostering a culture of data literacy across the organization.

Right now every insurer should be conducting a data maturity assessment, then building a road map to elevate data from operational input to strategic differentiator.

The next 18 months will define the next decade of insurance. The tools are available. The capital is flowing. The risks are evolving. The only question is: Who will act boldly enough to lead?

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