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

To ensure your company isn't losing AI talent, organizations need more than AI tools, they need a people-centric AI strategy built around trust, communication, upskilling, and meaningful employee support. Research from Gartner warns that by 2027, half of all enterprises without a people-centric AI strategy will lose their top AI talent to competitors who invest more deeply in their workforce. If your organization is still measuring AI success by hours saved or tools deployed,

CFOs earn more, but turnover rate increased as the role becomes more strategic, demanding, and exposed to higher performance pressure. According to the CFO and the C-Suite 2026 report, CFO compensation at major U.S. public companies surged 61.8% between 2019 and 2024, while CFO turnover rose sharply and average tenure fell to just 2.12 years. As modern CFOs take on responsibilities beyond finance (including AI strategy, enterprise data, cybersecurity, and digital transformati