Wind remains fundamentally healthy: electricity demand is rising, decarbonised power is still needed, and both Europe and the US continue to pull new projects forward, albeit for different reasons. But the industry’s center of gravity is shifting. The conversation is no longer just about building faster or installing more megawatts. As turbines get larger, OEM competition broadens, and project economics tighten, the consequences of failure are becoming much harder to ignore.

Host Sylvia Leyva Martinez is joined by Alexis Grenon, CEO of Onyx Insight, and Olly Litterick of Tokio Marine GX to examine what that shift means in practice. Their core argument is that the wind sector is moving from a development-at-speed mindset toward operational efficiency, where every dollar of ROI matters and risk has to be quantified far more precisely. They unpack why insurers still struggle with newer turbine classes despite two decades of renewables underwriting: the machines are scaling faster than the loss history, the supply chain maturity is lagging to price them confidently, and in wind, bigger hardware often means not more failures, but far costlier ones when they do occur.

A large part of the discussion focuses on blades, where exposure and difficult inspection regimes make early detection especially valuable. Grenon argues that the industry has relied too heavily on periodic inspection and not enough on continuous monitoring, contrasting the lack of standardised turbine monitoring with the smoke detector logic used elsewhere in insurance. The promise of better instrumentation, integrated SCADA and condition data, and physics-informed AI is not simply smarter dashboards. It is the ability to detect structural issues earlier, prevent minor damage from escalating into six-figure or seven-figure failures, and make better-informed decisions about maintenance, underwriting, and asset life.

The episode also looks ahead to the next set of decisions facing wind owners: how to handle aging fleets, when to extend life versus repower, and how much independent real-time data can change the balance of power between owners, OEMs, and insurers. The takeaway is that better data and earlier visibility can help the industry move from reactive maintenance and blunt underwriting toward a more preventative, risk-based model, one that should improve insurability, reduce downtime, and make the next phase of wind deployment more durable.

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Bigger turbines, bigger consequences: how wind is rethinking risk, insurance, and predictive maintenance

Interchange Recharged

Bigger turbines, bigger consequences: how wind is rethinking risk, insurance, and predictive maintenance