Morgan Stanley: AI Adopters Poised for 100 Basis Points Margin Gain Through 2027

Michael Wilson, strategist at Morgan Stanley, has argued that this earnings season favors US companies that have meaningfully integrated artificial intelligence, particularly those where AI is central to their investment story and where the company has pricing power that is neutral or strong. His team forecasts about 100 basis points of net-margin expansion through 2027 attributable to AI adoption. Wilson's research identified several industrial and financial companies as prime beneficiaries: Halliburton Co., Bank of America Corp., CVS Health Corp., and NextEra Energy Inc., alongside the familiar megacap beneficiaries Alphabet Inc., Meta Platforms Inc., and Nvidia Corp. The analysis challenges the perception that AI winners are limited to one sector. Wilson noted that industries often viewed as vulnerable — transports, software & services, and professional services — rank among the more attractive groups of AI adopters. His team's research shows a measurable shift in adoption maturity. About 40% of AI adopters have cited at least one quantifiable benefit in the current earnings season, a sharp increase from 21% a year earlier. Over the past year, companies have reported net productivity increases of nearly 10% on average, with gains concentrated in software development, customer service, finance and operations. Wilson framed the broader market context: the S&P 500's net-margin expectations are among the highest in over a decade heading into the earnings season, and while AI remains a main market driver, investors have become more discerning about which companies are genuine adopters versus those overspending on the technology. Notably, a Bank of America basket of AI adopters has outperformed the so-called hyperscalers this year, a signal that the market is moving away from unfocused AI spending at the largest cloud providers. Wilson's conclusion is that adoption is transitioning decisively from experimentation to the delivery of measurable enterprise value.

Michael Wilson's Morgan Stanley team is making a case that the AI investment story is shifting from hype to measurable returns. The strategist's analysis hinges on a concrete observation: companies with AI central to their strategy and neutral-to-strong pricing power are seeing margin improvements, with the team quantifying a 100-basis-point expansion expected through 2027. This matters because it reframes which businesses stand to benefit — not just the familiar megacap chipmakers and cloud operators, but lesser-watched sectors like transport and professional services that have historically been cost-conscious and hard to disrupt. The data point that 40% of adopters now cite quantifiable benefits, versus just 21% a year ago, suggests the market is beginning to separate genuine productivity gains from speculative spending. The reported 10% net productivity increase on average — concentrated in software development, customer service, finance and operations — implies that AI is delivering on its narrower promise in discrete workflows rather than wholesale business transformation. Wilson's observation that the Bank of America basket of AI adopters has outperformed hyperscalers this year is suggestive that investors have grown more skeptical of unlimited AI capex by the largest tech firms and are seeking returns in businesses that can apply the technology more surgically.

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