42% of CFOs plan to raise AI budgets by 30% or more within two years, Bain finds

83% of CFOs plan to raise AI spending by more than 15% over the next two years, per a Bain & Company survey of 100+ finance leaders. Yet only 31% are satisfied with results so far, with most companies still stuck in pilot mode.

Categorized in: AI News Finance
Published on: Apr 13, 2026
42% of CFOs plan to raise AI budgets by 30% or more within two years, Bain finds

42% of CFOs Plan to Boost AI Spending by Over 30% Within Two Years

Finance leaders are committing serious capital to artificial intelligence. A Bain & Company survey of more than 100 CFOs globally found that 83% plan to increase enterprise-wide AI spending by more than 15% over the next two years, with substantial portions directed at finance functions.

The spending surge is already underway. More than half of surveyed CFOs are raising AI budgets by over 15% this year alone, and nearly 21% expect increases exceeding 30% annually.

Where the Money Goes

Financial planning, analysis, and reporting claim the largest share of AI investment in finance functions over the next 12 months. CFOs see AI as a tool to identify risk faster, reforecast scenarios quickly, and reallocate capital in response to market conditions.

Speed has emerged as the primary benefit, even though cost reduction and efficiency gains drive initial investment decisions. In an environment of macroeconomic uncertainty and supply chain disruption, the ability to act quickly creates competitive advantage.

Satisfaction Tied to Scale

Results vary sharply based on deployment maturity. Among CFOs deploying AI at scale-including machine learning, generative AI, or agentic systems-over 40% report high satisfaction with outcomes. That compares to just 25% satisfaction at companies still piloting AI.

Organizations in the top quartile of AI maturity exceed 60% satisfaction. Overall, only 31% of CFOs are satisfied with their AI results, suggesting most organizations struggle with execution.

The Scaling Problem

Most finance departments remain trapped in experimentation mode. Only 15% to 25% of CFOs have scaled AI across finance functions, Bain found.

The research identifies four priorities for converting AI investment into sustained performance gains:

  • Treat speed as a strategic outcome, not a side effect
  • Build a scaling engine rather than managing a portfolio of pilots
  • Address workflow debt before deploying autonomous agents
  • Let future ambitions drive decisions, not yesterday's pilot projects

The survey included CFOs from companies ranging in size, with half representing organizations generating $5 billion or more in annual revenue.

For finance professionals looking to understand AI's role in their field, explore AI for Finance or the AI Learning Path for CFOs.


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