In 2026, CFOs predict AI transformation, not just efficiency gains
View original at finance.yahoo.comIn 2026, CFOs predict AI transformation, not just efficiency gains Artificial intelligence was certainly top of mind for chief financial officers this year…
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In 2026, AI will continue to disrupt low-value, transactional activities, freeing teams to focus on higher-value strategic work
80% confidenceIn 2026, AI will be judged less on promise and more on proof, with enterprises expecting measurable gains in speed, resilience, and decision quality
80% confidenceIn 2026, AI won't be a future concept for finance; it will be a business necessity
80% confidenceWe're advancing toward a future where nearly every business decision will involve AI
80% confidenceIn 2026, CFOs need to shift from financial gatekeepers to transformational architects who drive strategy and shape decisions
80% confidenceAI-illiterate leaders will disappear in the next few years
80% confidenceSuccess depends on fixing foundational systems; layering AI over broken processes won't deliver results
80% confidenceThe orchestration of systems, data, and workflows through the use of generative AI will serve to augment end-to-end visibility and cross-functional scenario analysis, planning, and reporting
80% confidenceLeaders will need to move beyond pilots and start treating AI and agentic systems as real team members that take on work and drive outcomes
80% confidenceCFOs who modernize architecture and skills will convert pilots into durable productivity, faster cycle times, and stronger margins
80% confidenceThe real AI shift will be enterprise-wide, with AI embedded into how companies plan and allocate capital, operate, serve customers, and manage risk
80% confidenceAI will help CFOs anticipate risks, optimize capital allocation, and improve decision-making with unprecedented speed and accuracy
80% confidenceIn 2026, AI will move finance from retrospective reporting to real-time decision making
80% confidenceAI will continue to force finance leaders to enact more discipline around how technology investments are evaluated and measured
80% confidence2026 will be the year when the lines around disparate software applications truly blur
80% confidenceAt full potential, AI enables finance teams to run hundreds or thousands of M&A scenarios before the first board discussion and predict customer churn before it impacts revenue
80% confidenceThere's no universal metric for AI ROI, as success depends on the function and problem being solved
80% confidenceAI will shape finance in 2026 more by helping leaders operate in a higher-cost, higher-volatility world
80% confidenceCFOs will remain willing to invest in AI but will require clarity on how it's tied to business outcomes like improved efficiency, productivity, or sustainable growth
80% confidenceAI simultaneously helps broaden view to get a better macro picture and can help put a sharper focus on very specific points of interest
80% confidenceAs cheap capital remains off the table, CFOs will lean on AI to optimize liquidity, manage debt, and prioritize spending with tighter margins
80% confidenceThe future of finance is not just about crunching numbers, but rather about transforming data into strategic foresight
80% confidenceIt's going to become absolutely critical for CFOs and finance leaders to have some level of AI literacy and an ability to identify use cases to improve productivity
80% confidenceIn 2026, leaders will shift from 'What can AI do?' to 'How do we build the foundation for scale?'
80% confidencee.l.f. Beauty will continue to explore how to best leverage AI in finance to lean into its strengths
80% confidenceWith currency volatility becoming the baseline through early 2026, AI-driven models will be critical for monitoring FX exposure and adjusting strategies in real time
80% confidenceIf AI is only being used to do the same work faster, its value is being underutilized. The real power comes from doing different work, strategic work that drives outcomes
80% confidence2026 will mark a turning point where advances in generative AI and predictive analytics will enable finance teams to move beyond automation toward real-time insights and scenario modeling
80% confidenceConsolidation needs to happen before widespread AI implementation
80% confidenceThe real unlock is moving finance from reporting what happened to shaping what happens next
80% confidence