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Source document· December 24, 2025

In 2026, CFOs predict AI transformation, not just efficiency gains

View original at finance.yahoo.com
In 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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  • At 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% confidence
  • There's no universal metric for AI ROI, as success depends on the function and problem being solved

    80% confidence
  • Success will hinge on strong governance, human oversight, ROI discipline, and building digital acumen that empowers talent

    80% confidence
  • It'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% confidence
  • In 2026, leaders will shift from 'What can AI do?' to 'How do we build the foundation for scale?'

    80% confidence
  • Success in 2026 will be defined by how we mature our AI strategy to ensure it is both agile, durable, and enterprise-grade

    80% confidence
  • Core finance and accounting systems will enter a phase of end-to-end connectivity, visibility, flexibility, and interconnectedness with all business applications across departments

    80% confidence
  • We're advancing toward a future where nearly every business decision will involve AI

    80% confidence
  • In 2026, CFOs need to shift from financial gatekeepers to transformational architects who drive strategy and shape decisions

    80% confidence
  • The 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% confidence
  • Leaders 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% confidence
  • AI will continue to force finance leaders to enact more discipline around how technology investments are evaluated and measured

    80% confidence
  • Embedded in ERP, agentic AI will accelerate the close, sharpen forecasting and cash visibility, and automate controls and compliance, cutting manual work while improving auditability

    80% confidence
  • The era of buying AI for AI's sake is over

    80% confidence
  • AI simultaneously helps broaden view to get a better macro picture and can help put a sharper focus on very specific points of interest

    80% confidence
  • As cheap capital remains off the table, CFOs will lean on AI to optimize liquidity, manage debt, and prioritize spending with tighter margins

    80% confidence
  • The future of finance is not just about crunching numbers, but rather about transforming data into strategic foresight

    80% confidence
  • Many CFOs are holding off on broad AI adoption because the market is saturated with overlapping tools and unclear value propositions

    80% confidence
  • Predictive analytics and competitive benchmarking will become essential, enabling CFOs to anticipate market shifts and optimize decisions with speed and precision

    80% confidence
  • In 2026, AI will continue to disrupt low-value, transactional activities, freeing teams to focus on higher-value strategic work

    80% confidence
  • In 2026, AI won't be a future concept for finance; it will be a business necessity

    80% confidence
  • e.l.f. Beauty will continue to explore how to best leverage AI in finance to lean into its strengths

    80% confidence
  • With 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% confidence
  • The real AI shift will be enterprise-wide, with AI embedded into how companies plan and allocate capital, operate, serve customers, and manage risk

    80% confidence
  • HPE's intelligent agents will automate quarterly close, forecasting, and analysis, delivering real-time insights and actionable predictions

    80% confidence
  • 2026 will be the year when the lines around disparate software applications truly blur

    80% confidence
  • AI will shape finance in 2026 more by helping leaders operate in a higher-cost, higher-volatility world

    80% confidence
  • CFOs 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% confidence
  • In 2026, AI will be judged less on promise and more on proof, with enterprises expecting measurable gains in speed, resilience, and decision quality

    80% confidence
  • If 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% confidence

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The Agentic Takeover of the CFO's Office
Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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