GenAI Becomes the CFO’s Most Reliable Analyst

GenAI Becomes the CFO’s Most Reliable Analyst

GenAI Becomes the CFO’s Most Reliable Analyst

https://www.pymnts.com/artificial-intelligence-2/2026/genai-becomes-the-cfos-most-reliable-analyst/

Publish Date: 2026-02-24 04:01:00

Source Domain: www.pymnts.com

Big Tech spent millions on flashy Super Bowl commercials to hype generative artificial intelligence as a creative tool for the masses, but the holy grail is locking down lucrative enterprise subscriptions for armies of corporate employees. Multinational giants like Alphabet don’t just sell 8 million Gemini Enterprise seats in four months for novelty’s sake. Google’s parent company is trying to rewire how companies fundamentally operate across their business units, pouring up to $185 billion into AI infrastructure this year alone.

But while large enterprises are treating AI as a moonshot for enterprise-wide transformation, middle-market companies have more practical — but still game-changing — outcomes in mind.

Mid-sized companies, which account for one-third of U.S. GDP and private sector employment, don’t have multimillion-dollar AI labs or massive teams of data scientists. As such, their chief financial officers are focusing on how the technology can do the heavy lifting of corporate finance, according to the PYMNTS Intelligence report, “What Happens When CFOs Get Serious About Gen AI.” These companies view AI as a pragmatic tool for immediate operational improvements and quick, high-impact wins, according to an article posted last month by the World Economic Forum.

The leading use cases so far keep human financial experts at the center and the technology in the corner, shaving days off month-end financial closes and empowering leaner teams to punch above their weight. Still, generative AI is making itself a permanent fixture in the C-suite — with an invisible corner office and no complaints about working overtime.

Here are the top 10 ways financial leaders at middle market firms, which lie between mom-and-pop businesses and startups on one end and multinational corporations on the other, are letting the software do the labor-intensive work:

1 (Tie). Financial Reporting (87%)

Closing the corporate books is a notorious time-suck, but speed…

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