Franklin Templeton CEO Jenny Johnson has highlighted that companies must continue to embrace AI adoption even as significant questions persist regarding the associated costs, governance frameworks, and the eventual profitability of this rapidly evolving technology. Despite these uncertainties, Johnson notes that Franklin has already observed productivity improvements from its AI initiatives.
This sentiment comes amidst a broader landscape where CFOs are grappling with the complexities of AI integration. Recent research from Gartner indicates that 45% of finance AI investment is directed towards productivity enhancements, with only 20% focused on decision quality, placing increased pressure on CFOs to demonstrate tangible value relative to AI's overall cost. Consequently, CFOs are now evaluating whether their organizations can truly justify AI investments, considering not only the benefits but also all the risks and costs of adoption forbes.com.
Indeed, a survey by Board found that nearly half (48%) of CFOs would follow an AI recommendation even if it contradicted their own judgment, a higher proportion than other C-suite executives. The survey also revealed that 61% of respondents use large language models like ChatGPT and Claude for strategic decision-making. However, governance around these tools remains in flux, with only 45% of CFOs reporting formal governance and escalation processes for AI-driven decisions cfo.com.
Practical challenges also persist. Canadian midmarket CFOs, for instance, have struggled to operationalize AI experiments into dependable financial processes. Concerns include the use of AI beyond approved tools, which can lead to data leakage, and the difficulty in allocating technology spending. One manufacturing firm faced issues when an AI-driven cash forecast tool disconnected from its ERP system, leading to incorrect numbers that went unnoticed. This incident prompted a new rule: AI can define report content and appearance, but a developer must build the report directly within the system. Furthermore, tracking costs like "token" usage for AI agents and unexpected increases from customer requests also present challenges cfo.com.
Despite these hurdles, optimism among CFOs regarding AI's impact is high. A Grant Thornton survey found that 80% of finance leaders expect their organization's net profits to grow over the next 12 months, an all-time high, partly fueled by confidence in AI. The survey indicated that 84% of finance leaders believe AI return on investment is meeting or exceeding expectations, primarily through productivity gains, though revenue transformation remains an emerging opportunity. Finance and accounting (39%) was identified as the top function for AI-driven transformation. However, execution barriers such as competing business priorities (43%) and budget constraints (43%), along with the need for better technology infrastructure (40%) and data analytics (35%), continue to challenge AI implementation grantthornton.com.
