CFOs shift from skepticism to aggressive AI investment with agentic AI
CFOs are now prioritizing AI investment, especially agentic AI, as a key revenue driver and operational tool, according to Salesforce research.
Chief financial officers (CFOs) have shifted from a cautious stance to aggressively investing in AI, particularly agentic AI, according to a new study by Salesforce. The research highlights a dramatic change in perspective, with 70% of CFOs reporting a conservative approach in 2020, compared to just 4% today. A third of respondents now adopt an "aggressive" strategy, integrating AI across business functions.
Key Findings:
- ROI Concerns Addressed: Early skepticism about AI's financial returns has diminished, with 61% of CFOs now measuring success through productivity and efficiency gains rather than immediate financial metrics.
- Long-Term Benefits: Respondents noted that AI delivers value over time, unlike traditional technologies focused on short-term returns. One CFO stated, "AI benefits are a mix of long and short term... KPIs are focused based on business outcomes."
- Budget Allocation: CFOs are dedicating 25% of their AI budgets to agentic AI, viewing it as a critical tool for cost reduction and revenue growth. 74% believe it could boost revenue by up to 20%.
Challenges Remain:
- Privacy Risks: 66% of CFOs cited privacy concerns as a top issue, with one noting, "If AI goes wrong, the reputational cost affects ROI in ways regular tools never would."
- Slow ROI: 56% expressed worries about the long time to see returns, particularly in tough economic conditions.
Industry Perspective:
Robin Washington, President and CFO at Salesforce, emphasized the transformative impact: "With AI agents, we're not merely transforming business models; we're fundamentally reshaping the entire scope of the CFO function."
Further Reading:
- How AI agents are being deployed in the real world
- Most agentic AI tools are just ‘repackaged’ RPA solutions and chatbots
- IT leaders don’t trust AI agents yet
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About the Author

Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.