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

    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
  • Consolidation needs to happen before widespread AI implementation

    80% confidence
  • AI will not replace human experience or judgment, but it will quickly expose where it's missing and reward organizations that connect vision to AI-powered execution at scale

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

    80% confidence
  • The real unlock is moving finance from reporting what happened to shaping what happens next

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

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

    80% confidence
  • Leaders will manage a more nuanced AI portfolio that balances launching pilots with rolling out proven solutions, and will prioritize data governance, process redesign, and maintenance

    80% confidence
  • Success depends on fixing foundational systems; layering AI over broken processes won't deliver results

    80% confidence
  • 2026 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% confidence
  • CFOs who modernize architecture and skills will convert pilots into durable productivity, faster cycle times, and stronger margins

    80% confidence
  • AI will help CFOs anticipate risks, optimize capital allocation, and improve decision-making with unprecedented speed and accuracy

    80% confidence
  • In 2026, AI will move finance from retrospective reporting to real-time decision making

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

    80% confidence
  • In 2026, AI will move beyond experimentation to become a core enabler of finance operations

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

    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

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Late-stage data and deal activity are clustering ahead of Q4 2026. Novo Nordisk's CagriSema won Best Abstract at EASD 2026 for its brain and body (fMRI/MRI) data, Lilly showed ADtouch results for EBGLYSS and agreed to buy Merida Biosciences for $2.9B, and Merck's tulisokibart hit its Phase 2b endpoints. A key regulatory catalyst follows: the FDA PDUFA date for the ivonescimab BLA on 2026-11-14. AI-designed rentosertib showing anti-aging effects adds a speculative AI-drug-discovery thread, while QAIAx's microcities trial and QIII pilot (planned 2027-01-01) are peripheral, forecast-only items.
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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