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

    80% confidence
  • Genpact's agentic accounts payable solutions are enabling more accurate, autonomous data capture, greater touchless processing, better cash visibility, and stronger supplier relationships, while reducing costs

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

    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 will be judged less on promise and more on proof, with enterprises expecting measurable gains in speed, resilience, and decision quality

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

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

    80% confidence
  • Consolidation needs to happen before widespread AI implementation

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

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

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

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

    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
  • 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
  • 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
  • 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

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A wave of vertical AI-agent startups (Swarm, Veridox, Avallon AI, DA2, F2, Earthian, Meanwhile, Covecta, Penguin AI, Maisa AI) is being funded and profiled just as major infrastructure players — Microsoft/Mistral, Siemens/NVIDIA, and Manulife/Microsoft — cement enterprise AI governance and compute partnerships. Yet a Google Cloud report shows AI agents still lack access to the majority of company data (only 45% on average), and insider selling at incumbent C3.ai signals investor caution even as adoption intent (100% planned agentic AI use within two years) races ahead of actual data infrastructure.
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Berkshire Hathaway
Both facts report Berkshire Hathaway's cash position on 2026-01-01 with identical observation timestamps, but claim vastly different values: 380 billion USD vs 400 USD. These cannot both be true for the same entity at the same point in time. The magnitude of the discrepancy (a factor of ~10^9) rules out rounding, unit conversion, or methodological differences.
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