Workday's 2025 survey of finance leaders reveals a striking paradox: nearly every CFO believes AI will transform finance, yet three-quarters say their organisations lack the skills to actually capture that value. Here are the five trends defining where finance is headed — and what leaders must do to stay ahead.
Navarro's analysis for Workday is notable because it comes from a vendor with direct visibility into how finance leaders are actually using technology versus how they say they are. The AI conviction-capability gap (99% belief vs 75% unreadiness) is particularly striking from a platform provider who can observe both usage patterns and outcomes across thousands of customer organisations.
Trend 1: AI Belief Without AI Readiness
99% of finance leaders say AI adoption delivers business value. But 75% also say their organisations don't have sufficient AI skills to realise that value. This gap — between AI conviction and AI capability — is the defining challenge for finance leaders in 2025. The organisations that close it fastest will establish durable competitive advantages in forecasting accuracy, planning speed, and cost efficiency.
- 99% believe AI delivers finance value
- 75% say their team lacks sufficient AI skills
- Average planned AI skills investment: up 45% year-over-year
- Most common upskilling priority: prompt engineering and AI output evaluation
Trend 2: The CFO as Chief Data Officer
Finance leaders are increasingly responsible for data governance, data quality, and data infrastructure — not just the financial outputs those data systems produce. CFOs who don't understand their company's data architecture are making financial decisions on foundations they can't assess. In 2025, the most effective CFOs are deeply engaged in data strategy alongside their CTO and CDO counterparts.
Trend 3: Continuous Close Replacing Month-End
The traditional monthly close — a frantic 5-10 day sprint to reconcile accounts and produce financial statements — is being replaced by continuous accounting. Systems that record transactions in real time, auto-reconcile routine entries, and flag exceptions for human review make it possible to have near-real-time financial visibility every day of the month, not just on day 5.
Trend 4: Finance as a Product
Leading finance teams are beginning to treat their outputs as products with internal customers — designing planning tools that business unit leaders actually want to use, building dashboards that answer the questions operations teams actually ask, and measuring adoption and satisfaction alongside accuracy metrics. This 'finance as a product' mindset is driving dramatically higher engagement with financial data across organisations.
Trend 5: Workforce Finance Integration
As headcount costs grow as a percentage of total expenditure, workforce planning is becoming inseparable from financial planning. The most sophisticated FP&A teams in 2025 are running integrated workforce-financial models that connect headcount plans to revenue capacity, scenario-test the financial impact of hiring changes, and model attrition risk in revenue-per-head terms.
Every CFO we talk to believes in AI. But belief doesn't close the skills gap. The organisations pulling ahead are the ones who are training their teams, not just buying the tools.— Bruno J. Navarro, Workday (2025 Financial Planning Trends Every CFO Should Know, Mar 2025)
Practical Implementation Checklist
- Assess your CFO's data literacy: can they explain your data architecture, identify your primary data quality risks, and make informed decisions about data infrastructure investment? If not, this is a development priority
- Set a target for continuous close: identify the top 3 manual reconciliation tasks in your month-end process and build a 90-day plan to automate each — this is the first step toward near-real-time close
- Treat finance dashboards as products: identify your top 5 internal 'customers' (business unit leaders, CEO, board members) and design dashboards specifically around the questions they actually ask
- Build an integrated workforce-financial model: even a simple Excel linkage between your headcount plan and your revenue-per-head model is a significant step toward workforce-financial integration
- Invest in AI skills training before deploying AI tools: the organisations that achieve the best AI ROI are those where finance professionals understand what the AI is doing and can evaluate its outputs critically
- Partner with your CTO or CDO on data governance: the quality of your AI finance outputs is bounded by the quality of your data — finance and technology must co-own the data quality agenda
Workday's 2025 trends report identifies the AI conviction-capability gap as the defining finance leadership challenge — and makes clear that the organisations that close it fastest will establish durable competitive advantages in planning speed and forecast accuracy. Closing the gap requires investment in people and process alongside technology.
Key Takeaways
The AI capability gap is the defining challenge: 99% believe, 75% aren't ready
CFOs must become fluent in data architecture and governance, not just financial outputs
Continuous close is replacing month-end sprints — real-time financial visibility is now achievable
'Finance as a product' thinking drives higher engagement with financial data across the business
Workforce and financial planning are converging into integrated models
AI skills training must precede AI tool deployment — capability gap is the binding constraint
Finance and technology leaders must co-own the data quality agenda — AI amplifies data problems as much as it amplifies data quality
