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Greg Abel just made something clear. Berkshire Hathaway won’t chase AI for the sake of it.
Abel spoke to shareholders on May 2 in Omaha during his first annual meeting as Warren Buffett’s successor. He laid out a plan that’s pretty much the opposite of what most big companies are doing right now. No moonshots. No big bets on unproven models. Just practical stuff that makes the company’s existing businesses run better—insurance fraud detection, rail operations, energy grid management. He wants AI only when it adds something real to Berkshire’s sprawling collection of businesses, from BNSF Railway to Geico to the utilities arm. The message was direct: “It has to be additive to our businesses. We’re not going to do AI for the sake of AI.”
Narrow Applications, Not Grand Visions
Abel talked about specific use cases. BNSF uses AI to optimize train scheduling and track maintenance. The insurance units deploy it to catch fraud and spot deepfake scams—a growing problem that costs carriers real money. An AI-generated video of Buffett opened the meeting, which Abel said was a reminder of the daily risks Berkshire’s insurance teams now handle. He didn’t promise AI would revolutionize everything. He said it would help in targeted spots where the company already knows what it’s doing.
This approach continues Buffett’s long skepticism of tech trends that don’t have clear payoffs. Buffett famously avoided the dot-com bubble and stayed away from most software investments. Abel seems to be following that playbook. While competitors pour billions into large language models and generative AI platforms, Berkshire is sticking to narrow applications tied to operational efficiency and safety. It’s not flashy. But it fits the company’s culture.
The strategy also reflects Abel’s background. He spent years running Berkshire Hathaway Energy before taking over the conglomerate. He’s an operations guy, not a tech visionary. And that’s probably what Berkshire’s board wanted when they picked him to succeed Buffett.
Energy Unit Eyes Data-Center Growth
Abel sees opportunity in one area. Data centers.
Berkshire Hathaway Energy already serves a lot of them. Data centers account for about 8% of peak load in key service territories like Iowa, where the utility operates major grids. Abel said that share will probably grow by 50% over the next five years. Companies building AI infrastructure need massive amounts of power, and they’re willing to pay for it. Abel made clear that operators will cover the full cost of grid upgrades and expansions. Residential and commercial customers won’t see higher bills because of AI data-center demand.
This setup lets Berkshire benefit from the AI boom without the risk. The company isn’t building AI models or betting on startups. It’s just selling power to the companies that are. And it’s making sure those companies pay upfront for the infrastructure needed to deliver that power. It’s a classic Berkshire move—find the picks-and-shovels play, avoid the speculative stuff, lock in predictable returns.
The utility business has been a steady performer for Berkshire for years. Abel’s data-center forecast suggests it could become a bigger growth driver going forward, especially as AI infrastructure spending ramps up across the country. The question is whether demand will actually grow as fast as Abel expects. Data-center construction has slowed in some regions due to permitting delays and grid constraints. But Abel seems confident that Berkshire’s service areas will see strong growth, and he’s positioning the company to capture it.
Some analysts think this is the smartest part of Abel’s AI strategy. Berkshire gets exposure to AI growth without taking on the execution risk that comes with building AI products. The utility just has to deliver reliable power, which it already knows how to do.
Insurance Gets Smarter
Fraud detection is a big deal. Deepfakes are getting better, and they’re being used to file fake claims, impersonate adjusters, and manipulate underwriting decisions. Berkshire’s insurance units are using AI to catch these scams before they cost the company money. Abel didn’t give specifics on how much fraud Berkshire has stopped or how much money it’s saved. But he said the tools are already in use and they’re working.
This kind of AI application is exactly what Abel wants—something that solves a real problem, saves money, and doesn’t require Berkshire to reinvent its business model. The insurance industry has been slow to adopt new technology in the past, but fraud detection is one area where AI has proven value. Berkshire is moving faster than some of its peers, and that could give it an edge in underwriting and claims management.
Abel’s approach here is consistent with his broader philosophy. Use AI where it makes sense. Don’t chase hype. Focus on the bottom line.
Abel’s First Test
Abel’s leadership will be tested. The AI landscape is shifting fast, and companies that don’t move quickly risk falling behind. But Abel seems comfortable with that risk. He’s betting that Berkshire’s disciplined approach will pay off over the long term, even if it means missing out on some short-term gains.
His focus on data centers and narrow AI applications reflects a belief that Berkshire can benefit from AI without becoming an AI company. That’s a bet that the real money will be made by the companies that enable AI infrastructure, not the ones that build the models. Time will tell if he’s right.
For now, shareholders seem okay with the plan. The meeting didn’t produce any major pushback, and Abel’s presentation was well received. But the real test will come over the next few years as AI infrastructure spending either takes off or stalls. If demand for data-center power grows as fast as Abel predicts, Berkshire Hathaway Energy could become a major growth engine. If not, Abel will need to find other ways to deliver returns.
The energy bet is the biggest part of Abel’s AI strategy. It’s also the riskiest. Data-center demand could slow if AI development hits technical or regulatory hurdles. But Abel seems confident that the trend is real and that Berkshire is positioned to win.
Frequently Asked Questions
What is Greg Abel’s AI strategy for Berkshire Hathaway?
Abel plans to use AI only when it provides clear value, focusing on efficiency, safety, and decision-making in areas like insurance fraud detection and rail operations.
How will Berkshire Hathaway Energy benefit from AI growth?
Data centers currently make up 8% of peak load in key service areas, and Abel forecasts a 50% increase over five years, with operators covering all infrastructure costs.
