At Markel, CapTech identifies a major obstacle to AI

For a Markel Group shareholder, a survey published by CapTech initially seems anecdotal. It becomes more interesting when the subsidiary is placed within the holding company's model: Markel acquires companies for the long term, grants them significant autonomy, and seeks to diversify the revenue streams generated by its insurance business. CapTech is precisely one of these operational platforms.

The essentials

In a study conducted with Harris Poll of 302 US IT decision-makers already using AI beyond the pilot stage, 86% said they could quickly deploy solutions but were slowed down by internal decision-making. Only 28% expressed complete confidence in achieving their technology priorities within 18-24 months. CapTech is turning this gap into a business proposition: helping to prioritize, govern, and measure.

Why this is a Markel topic

Markel Ventures acquired a majority stake in CapTech in 2015. The consulting firm is now part of the "Consumer and Other" segment, which generated $832.5 million in revenue and $161.9 million in adjusted operating income in the first half of 2026. Markel does not break down CapTech separately: it is impossible to attribute a precise share of these figures to the subsidiary. The study therefore provides a positioning signal, not a profit forecast.

The paradox: high confidence, low execution

Sixty percent of respondents prioritize scaling AI or building its infrastructure. Ninety-three percent believe that successful implementation will save money. Yet, governance approval is the point at which programs most often stall or revert, while only 27% rank it among their transformation priorities.

This paradox directly fuels the CapTech business. When access to models, the cloud, and skills becomes commonplace, the consultant's value shifts toward choosing use cases, aligning technology, business, risk, and finance, and then demonstrating return on investment.

From pilot to result: where value is lost

A commercial signal, with two caveats

First caveat: the study is published by the company that sells the solution to the observed problem. Its sample is targeted-American companies with at least 250 employees, already in production-and does not represent the entire economy. Second caveat: the stated appetite for external consulting does not guarantee contracts or margins.

The result remains relevant for Markel because it describes a less cyclical demand than the simple deployment of a tool. Models change; trade-offs, responsibility, and organizational integration persist. A subsidiary capable of becoming the trusted third party for these decisions can build longer and recurring relationships.

Opulion Reading

The value of this news lies less in its percentages than in what it reveals about Markel's portfolio. Insurance provides capital; operating subsidiaries expose it to different trends. CapTech gives the holding company a place in the AI ​​transformation without Markel having to select the winning model or chip.

This is a modest exposure and not quantifiable today. Nevertheless, it clearly illustrates the logic of a conglomerate: owning companies that solve the practical consequences of an innovation rather than the innovation itself.

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