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

Microsoft makes new additions to Copilot in Excel for finance, expanding the platform's ability to help finance professionals analyze data, build formulas, automate repetitive tasks, and generate financial insights directly within Excel. The latest enhancements focus on improving productivity for FP&A teams, accountants, and analysts by combining AI-powered assistance with familiar spreadsheet workflows. The new additions are designed to help finance professionals turn repeti

CFOs are overestimating AI usage in many organizations because executive perceptions often outpace how extensively employees actually use AI in their daily work. While finance leaders increasingly view their companies as AI-enabled, many teams are still in the early stages of adoption, with limited integration into core FP&A, forecasting, reporting, and decision-making processes. Closing this gap requires more than investing in AI technology. It demands accurate measurement o

Survey reveals midsize companies now use AI for FP&A at a level that has moved beyond experimentation and into everyday finance operations. This reflects a broader shift toward AI-powered finance workflows. As adoption increases, finance teams are using AI not only to automate manual tasks but also to improve planning accuracy, accelerate analysis, and free up time for more strategic FP&A activities. Midsize companies now use AI for FP&A at a scale that would have seemed unli

AI is the top reason for layoffs for the third straight month as more organizations use automation and Generative AI (Gen AI) to streamline operations, reduce costs, and improve productivity. While economic uncertainty and corporate restructuring continue to influence workforce decisions, a growing number of employers are directly citing Artificial Intelligence (AI) adoption as a factor behind job reductions. The trend highlights a significant shift in how businesses allocate

AI tokens vs human engineers is becoming a critical efficiency question as organizations increase their investment in generative AI. While AI can complete certain tasks faster and at a lower marginal cost than human labor, the real challenge is determining when AI-generated output creates enough business value to justify its growing token costs. For finance leaders and executives, the debate is no longer simply about replacing work with AI, it is about optimizing the balance

Claude is expanding quickly across finance teams because it offers a practical way to automate analysis, reporting, forecasting, and document-intensive workflows without requiring deep technical expertise. Finance professionals are increasingly using Claude to summarize financial data, generate variance commentary, analyze large spreadsheets, and support FP&A processes, helping teams reduce manual work and focus on higher-value decision-making. What began as isolated experime