For years, the role of CFO was perceived as the team leader responsible for budgets, forecasting and financial controls. However, as AI increasingly moves towards being synonymous with enterprise strategy, that role is evolving.
In today’s market, CFOs are key participants in how AI companies scale, allocate capital and turn emerging tech into sustainable businesses.
Mid-way through 2026, this shift is particularly visible among the world’s highest-profile technology companies. Microsoft’s 2026 capital spending expectations, for example, have been around $175 billion, while Alphabet’s CFO Anat Ashkenazi raised recently the company’s 2026 capital expenditure guidance to between $180 billion and $190 billion.
At that scale, AI investment is no longer simply a technology decision. It is a financial strategy. The CFO has a central role in determining whether countless capital is spent on GPUs, data centers, and AI infrastructure can ultimately translate into revenue growth. According to Manu Swami, CTO of Sonata Software, “As AI scales, cost discipline becomes as important as innovation.”
The same dynamic is playing out beyond the hyperscalers. Companies across industries are asking CFOs to evaluate AI investments with greater scrutiny, particularly as enterprises move from small pilots toward organization-wide deployment. Deloitte’s 2026 research report pointed to a similar conclusion.
The appointment of Lalit Mahapatra as Chief Financial Officer at Prezent Vivo this week offers a timely example of this shift. Mahapatra joins the AI-powered communication company focused on life sciences with more than 25 years of experience spanning global finance and and business transformation.
His appointment comes as Prezent Vivo is expanding its AI-native platform and its combination of technology and human expertise for Life Sciences organizations.
The growing involvement of CFOs in AI reflects a broader change across the technology industry. Building an AI business is not simply a question of launching anothe product. Companies must determine where to invest, which markets to enter and how to balance technology spending against measurable business outcomes.
Those decisions increasingly sit at the intersection of technology and finance. For AI companies operating in specialized industries, that challenge can be even more complex.
Life sciences organizations, for example, operate in highly regulated environments where communication must often combine scientific accuracy and domain expertise.
Mahapatra (article’s featured photo) brings experience across both industries, having previously served as Global Head of M&A at Navitas Life Sciences, where he led cross-border transactions and integrations across global markets, before becoming the company’s CFO.
Most recently, he served as CFO of Flex Films’ U.S. operation.
At Prezent Vivo, Mahapatra will lead financial strategy, capital planning and business intelligence. His responsibilities will extend beyond traditional financial management, including evaluating growth opportunities, guiding strategic investments and helping the company scale its business.
That mandate reflects the changing nature of the CFO role within AI companies. As organizations introduce AI across more areas of their operations, finance leaders are increasingly expected to understand the economics of technology investments alongside their traditional responsibilities. Prezent Vivo’s latest stage of development illustrates why that matters. The company recently launched Vivo 1.0, an AI-native platform designed for Life Sciences communication.
The evolution of the CFO role may ultimately prove to be one of the less discussed developments in the AI industry. While CEOs and technology leaders often dominate conversations about AI innovation, financial executives are increasingly helping determine which innovations receive investment, how they scale and whether they become durable businesses.
As AI moves deeper into the enterprise, the CFO may become less of a financial gatekeeper and more of a strategic architect, helping companies decide not only what AI can do, but in which areas it makes the most sense to invest in.
