
The AI Genie Is Unlikely to Go Back in the Bottle
Nancy Tengler sees the pause in AI model development as a hiccup. From construction to retail, businesses are already finding ways to use AI to improve productivity and lower costs.
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So, the three amigos who are not actually amigos have agreed to put the brakes on AI model development. Investors will be sorting out exactly what that means for tech stocks and just stocks in general.
But for market veterans like me this feels more like a hiccup than an end to the AI disinflationary trade. The technology has already spread across sectors. Our team has identified emerging themes we are hearing from the companies on earnings. Adoption has been widespread and exciting. Companies across sectors, as diverse as DE and CVX to SBUX to WMT or AXP are citing the productivity enhancing attributes of AI application in their businesses.
Applications we are not thinking about
A small business owner who is testing “remotely controlled demolition equipment” to offset the costs of insurance and litigation by injured or disgruntled workers. Why not?
Other applications will enhance workforce productivity, improve new product development and streamline legal, insurance, and supply chain costs. A correction is welcome but let’s recall that earnings growth has far outpaced stock returns this year and over the last 5-years. The PEG ratio on the SPX has fallen to the lowest reading in the past 30-years at 0.75.
You can question the technology, but this is most definitely not a valuation bubble. The AI genie is not going to be put back in the bottle.
The chart below shows the data center buildout across the country and attendant natural gas pipelines. Note the number of data centers in early-stage development.

Source: Bloomberg NEF; DC Byte 1Q 2026 data; Bloomberg Terminal.
A once in a generation technological revolution
The pace of innovation is exponential. Robotic surgery has taken off. Surgeons performed 85,000 operations robotically in 2007. By 2025 that number jumped to 3.1 million annually or one robotic surgery every 10 seconds.
And watch prices come down (we have consistently asserted that the AI trade is disinflationary). For example, the battery in an electric car cost $89K in 2010. Today it costs about $8K.
New business applications are accelerating and dwarfing concerns about the labor fallout from AI. Starting a business once involved hiring someone to build a website, do the books, and set a communication strategy. No more. One person and an AI subscription will do the trick.
Nancy Tengler
CEO and Chief Investment Officer
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