Monday, October 26, 2026
Source trace. Via News points to the documents behind its reporting and shows what we drew from each — so you can check any claim. How we source
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…
Opening lines of the source · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

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

    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, 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
  • Consolidation needs to happen before widespread AI implementation

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

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

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

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

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

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

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

    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, 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
  • 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

Cited in these Via News reports

What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Q4 2026 Biotech Catalyst Window: ESMO Data, the Ivonescimab PDUFA and Small-Cap Delistings
Mid-October to November 2026 is a dense catalyst period for clinical-stage biotech. Positive late-stage readouts (ALOFT-IPF, TELIGAN, MIUDELLA, the duvakitug extension) and the ESMO 2026 presentations lead up to the FDA's 14 November PDUFA date for the ivonescimab BLA. At the opposite end of the market, Spago Nanomedical is moving to delist from Nasdaq First North, which shows how hard it is for micro-cap developers to fund themselves. Value is concentrating in companies with late-stage data and near-term regulatory outcomes.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
Recently verified
✓ Checked against the original source
4,994
facts traced to their source — and we flag the ones that don't hold up.
101 entities tracked4,994 facts checked against source5,500 source documents archived
Query this data → isubstrate.com