Thanks to advances in AI and other technologies, 2026 could prove pivotal for P&C insurers. For far too many, recent technological progress has been incremental—better portals, more data, faster analytics. But I believe 2026 marks the end for this age of incrementalism. Amid economic uncertainties, regulatory scrutiny, and sustained pressure for profitability, carriers will prioritize investments that generate measurable improvements in the way they underwrite risk, execute claims, preserve expertise, and defend and grow margins, propelled by the following four trends.

Architectural Reckoning: Agentic AI Accelerates Modernization

Agentic AI is the first wave of AI technology that doesn’t wait to be asked; it initiates and executes action autonomously. Even in their early stages, agentic systems have helped carriers increase underwriting efficiency by 36%, reduce claims cycle times by 40%, and improve customer satisfaction by 15% or more. Yet analysts estimate that 40% of agentic AI projects will be canceled by the end of 2027 due to rising costs, unclear business value, or inadequate risk controls.

These projects won’t fail because operating models aren’t ready. They’ll fail because the architecture isn’t. To deliver true impact, AI agents must operate seamlessly across the entire insurance value chain—something legacy systems and bolted-on solutions simply can’t support. In my view, this constraint is so fundamental that agentic AI will accelerate the shift from legacy systems to modern platforms faster than any other technology before it.

Agentic systems require elastic compute, secure integration, and the ability to translate AI’s probabilistic reasoning into deterministic results. This demands a cloud-native, AI-first architecture, like Guidewire, that can orchestrate action safely and at scale, enabling carriers to move from copilots to autonomous workflows while rivals remain stuck in “AI-assisted” mode. In 2026, architecture starts dictating growth velocity. Let the reckoning begin.

GenAI Enables Worker-Centric Models in Workers’ Compensation

In 2026, generative AI will precipitate a shift from process-oriented claims management to worker-centric claims models that improve injured worker outcomes and boost insurer performance. And it isn’t coming a moment too soon. As captured in a new report from Guidewire and PwC, rising medical cost inflation, increased mental health claims, and litigation exposure are forcing carriers to seek new ways to identify high-risk claims, intervene earlier, and accelerate recovery times more effectively.

In surveys conducted for the study, 100% of workers’ compensation carriers expect AI to improve operational efficiency, while 60% expect improved return-to-work timelines. That second figure matters. It signals that carriers are beginning to understand the value of GenAI not just for automation but as a mechanism for changing claims trajectories.

GenAI will increasingly enable this change by extracting insight from unstructured medical records, injury narratives, and historical outcomes and then embedding guidance directly into workflows. Adjusters gain earlier visibility into risk signals. Injured workers receive more timely, personalized support, and interventions prevent or mitigate attorney involvement while outcomes are still malleable. As the report highlights, this “Shift to Worker-Centric Models” is one of five powerful GenAI forces of change that will define the next era of workers’ compensation, and that I believe will gain significant traction in the year ahead.

AI-Powered Knowledge Management Blunts Retirement Cliff’s Impact

With nearly half of P&C professionals expected to retire over the next five years, carriers have been bracing for what some call a “silver tsunami” that could erode decades of institutional knowledge in underwriting, distribution, and claims management.

In 2026, savvy carriers will address this by leveraging advances in generative and other forms of AI to help evolve the system of record into a system of insight. Generative AI, for example, can analyze documentation to surface expert judgment in context, at the moment decisions are made. Yet while 93% of senior P&C leaders are concerned over the impact of the upcoming retirement cliff, nearly 90% have yet to leverage GenAI to automate knowledge capture and management—primarily due to concerns over accuracy and compliance.

The key to successfully operationalize AI-based knowledge management is to automate knowledge capture and analysis from established, trusted sources of reliable organizational information. For example, GenAI-based solutions like those from ProNavigator, recently acquired by Guidewire, deliver AI-powered guidance drawn from manuals and product documents instantly accessible across underwriting, claims, distribution, and billing—reducing reliance on lengthy apprenticeships or constant escalation without eroding decision accuracy or service quality.

My view: The next generation will move faster and more confidently than the last. Not because they know more, but because they start with expert knowledge built directly into the systems they use. In 2026, this will become a force multiplier for decision accuracy, velocity, and consistency while blunting the worst impacts of the retirement cliff.

IoT Ecosystems: From Detect-and-Respond to Predict-and-Prevent

In the year ahead, a growing number of carriers will realize that the real power of IoT isn’t the sensor. It’s the ecosystem. As insurers recalibrate for volatility, climate pressure, and margin compression, IoT-enabled insurtech ecosystems will kick-start a new generation of predict-and-prevent service models at scale.

The demand signal for proactive, preventive insurance is unmistakable. A majority of consumers in the US and 70% of Europeans say they want insurers to offer proactive services such as alerts, warnings and damage prevention, not just claims payment after loss. At the same time, economics is forcing change. Insured catastrophe losses have exceeded $100 billion annually for six consecutive years.

In 2026, look for carriers to harness IoT ecosystems to move from detect-and-respond to predictive prevention. Those operating a cloud-native, API-first architecture like Guidewire, for instance, will leverage options like our industry-leading insurtech ecosystem to compose IoT-driven capabilities that translate insight into automated prevention.

Think connected vehicle sensors that detect dangerous road conditions and alert fleet and personal drivers to adjust driving behavior or take alternative routes to avoid collisions or costly delays. Or water pressure monitoring networks that leverage systemwide data to help municipalities understand the upgrades needed to avoid inadequate pressure levels in the event of a wildfire. This is the year predict-and-prevent will start to be operationalized instead of just evangelized—propelled by IoT ecosystems that help carriers reduce costs for themselves and policyholders while driving new revenue growth.

Success in ‘26: When ‘Modern Enough’ No Longer Is

What unifies these four shifts is a redefinition of how insurance works. AI is no longer just informing decisions; it’s executing them. GenAI doesn’t just enhance customer interactions, it transforms outcomes. IoT ecosystems stop just detecting and start protecting. And knowledge transfer stops being a training problem and becomes a workflow capability that makes the next generation faster and more consistent than the last.

In 2026, advantage won’t come from having more tools. It’ll come from modern infrastructure that enables systems to sense risk, act earlier, and scale expertise across the enterprise. For carriers seeking to lead, this is the moment when P&C insurance moves from incremental improvement to intentional reinvention. To learn more, visit DrabikDigest.com and subscribe to our monthly email newsletter.