Artificial intelligence has quickly become part of everyday work in the finance function. Teams use it to pull figures from documents, automate payables, draft commentary, and flag anomalies. Yet a nagging question hangs over all that activity: is any of it actually paying off? According to new Gartner research, the honest answer for most organizations is "we don't know yet." Even as finance AI adoption matures, AI initiatives still producing unclear results remain the norm r

New research confirms that chief AI officers are becoming more common in the C-suite. AI has really moved out of the innovation lab and into the boardroom, and leadership charts are changing to match. Over the past six years, a growing number of large U.S. corporations have created a brand-new executive seat: the Chief AI Officer. Below, we unpack what the data shows, what a Chief AI Officer actually does, and why companies are hiring Chief AI Officers to provide dedicated AI

AI-related job postings have grown nearly ninefold since 2022, but pay has risen only 39%, and new hires are pulling ahead of employees who upskill. AI is moving out of pilot projects and into everyday operations. Two signals make that shift hard to ignore: how many employers are hiring for AI expertise, and how much they are willing to pay for it. Right now, those signals are moving at very different speeds. The demand for AI expertise has multiplied several times over in un

AI safety debates have moved out of research labs and into the boardroom, driven by a string of unsettling headlines about AI models behaving in ways their creators never intended. For finance chiefs weighing new investments in enterprise AI, the conversation is no longer only about return on investment. It is increasingly about exposure, accountability, and how much risk a company is actually willing to carry. Finance leadership experts and AI consultants say the current wav

Finance leaders are still wary of too much AI, and the numbers back it up. A fresh benchmark from spend management provider PEX, drawn from 687 finance and operations leaders, shows a workforce that is curious about AI but nowhere near ready to hand it the keys. Interest in AI in finance is close to universal, yet only a minority of teams have moved past pilots, and fewer still are comfortable letting a system make a call without a person checking the work. That gap says less

Data privacy is CFOs' top focus, edging out artificial intelligence (A), cost-cutting, and even strategic planning for the third year in a row. AI keeps dominating boardroom conversations, but when finance chiefs rank what matters most for the year ahead, a quieter concern still wins out. That finding, drawn from Protiviti's 2026 Global Finance Trends Survey of 902 finance leaders across North America, Europe, and Asia-Pacific, says a lot about where CFO priorities really sit

The first quarter of 2026 delivered a clear signal about where finance leadership is headed: new S&P500 CFOs are first timers at a rate not seen in years. Of the 33 companies in the index that named a new finance chief, 24 handed the title to someone stepping into the CFO seat for the very first time; a 73% share of all CFO appointments. That is a dramatic swing from just twelve months earlier, when only 55% of incoming S&P 500 CFOs were newcomers to the role, and it puts the

AI-related class action lawsuits are becoming more common at a pace that outstrips almost every other litigation trend in the market. For CFOs, general counsel, and investor relations teams, the numbers are hard to ignore. AI has reshaped how public companies talk about growth, risk, and innovation, and it's now reshaping the litigation landscape too. Securities Class Action Filings Are Surging Overall securities class action filings in federal and state courts jumped to 121

Fractional CFOs are seeing even more demand since AI because businesses increasingly need experienced finance leaders who can combine strategic financial expertise with AI-driven decision-making. All these benefits without the cost of hiring a full-time executive. As artificial intelligence (AI) automates routine finance tasks, the role of the CFO is shifting toward governance, capital allocation, technology adoption, and business strategy. New Business Case for Fractional C

57% of finance leaders say they have missed business opportunities because they lacked timely access to financial data, showing how delayed data can directly affect decision-making and growth. When financial information is fragmented across spreadsheets, systems, and manual reporting processes, finance teams can spend too much time gathering and reconciling numbers instead of acting on them. For CFOs, controllers, and finance VPs already stretched thin, this puts a hard numb

Finance leaders are feeling the pressure to adopt Artificial Intelligence (AI) because boards, investors, and competitors increasingly expect finance teams to use it to improve efficiency, reduce costs, and deliver faster insights. While AI can automate processes and enhance decision-making, many CFOs are balancing these opportunities against concerns around governance, compliance, data quality, and proving return on investment. AI has moved out of the pilot phase and into t

CFOs take significant risks with AI adoption when they implement AI without a clear strategy for data quality, governance, security, and business processes. While AI can improve forecasting, reporting, and financial analysis, its outputs are only as reliable as the financial data and controls behind them. Successful AI adoption in finance requires trusted data, human oversight, and strong governance to reduce compliance, operational, and decision-making risks while delivering