Artificial intelligence may be transforming how consumers use technology, but the revolution is still lagging when it comes to businesses, according to a pair of Goldman Sachs analysts.
“A lot of consumer applications, they’re exemplifying the value of AI, whether it’s ChatGPT or Claude application at the consumer level. But at the enterprise level and user level, there are some signs of life, but we’re not where we expected,” said Kash Rangan, a US software equity research analyst, on Goldman Sachs’ “Exchanges” podcast published on Tuesday.
While tools like ChatGPT have rapidly captured consumer attention, corporate adoption has been slower.
Rangan said companies are “well below” where he thought they would be in AI adoption.
“It’s not where we expected it to be a year ago, two years ago, but rather to where we were six months ago, nine months ago,” he said.
Eric Sheridan, a US internet equity research analyst, said the AI infrastructure buildout has “surprised to the upside.” That surge, he added, reflects how demand for computing power from generative models such as ChatGPT and Google Gemini has already outpaced available capacity.
High spending has left some investors questioning whether the returns will ever match the outlay. Sheridan said the rapid rise in AI infrastructure investment has created growing doubts about the long-term return on investment, even as spending keeps accelerating.
Sheridan pointed to Nvidia’s forecast of $3 trillion to $4 trillion in cumulative AI infrastructure spending by the end of the decade.
“I think most investors we talk to would struggle to justify the return profile on 3 to 4 trillion of cumulative spend, unless AI is the main driving factor in an enormous amount of the economic output of society in some sort of end state,” he said.
The Goldman analysts’ comments come amid investor jitters over the scale of AI spending that has pushed the S&P 500 and Nasdaq to record highs in recent weeks. Stocks pulled back last week on concerns that markets may have run ahead of fundamentals.
That gap between excitement and execution echoes what consultants at McKinsey are seeing.
In its State of AI 2025 report, released last week, McKinsey found that while nearly 88% of companies report using AI in at least one business function, only about a third have scaled it across the entire enterprise.
In its survey of nearly 2,000 companies across industries, 64% said that AI is enabling their innovation. However, 39% reported AI’s impact showing up in the bottom line.
“While AI tools are now commonplace, most organizations have not yet embedded them deeply enough into their workflows and processes to realize material enterprise-level benefits,” wrote McKinsey’s consultants.
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