A widening execution gap is threatening corporate AI ambitions as finance leaders struggle to reconcile aggressive growth goals with fragmented data systems.
According to Coupa’s 2026 Strategic CFO Report, released Tuesday, while 85% of chief financial officers’ view artificial intelligence (AI) as the cornerstone of their future strategy, a staggering 92% admit they are worried about their ability to deliver on that promise.
The anxiety marks a sharp escalation from last year, when only 66% of executives expressed similar doubts. The report, which surveyed 600 financial leaders across the globe, suggests that the honeymoon phase of AI experimentation has ended, replaced by the gritty reality of operational hurdles.
At the heart of the struggle is what Coupa calls a data chasm. Despite the hype surrounding generative tools, only 5% of organizations can access their spend data instantly through a single system. This fragmentation forces the average CFO to spend 26 hours per month — more than three full working days — manually reconciling data.
“The rulebook for growth has fundamentally changed,” Coupa CFO Michael Agresta said. “AI has moved from a speculative bet to a non-negotiable business strategy. Consequently, the CFO’s role has evolved into that of an enterprise transformation agent.”
The report highlights several critical barriers to progress. More than one in three finance leaders still rely on manual intervention for core processes. About three-fourths cite poor data quality and AI readiness as their primary obstacles. Some 76% are hesitant to expand AI investments due to unclear financial returns.
To bridge this gap, forward-thinking firms are moving beyond simple data summarization.
The report indicates a pivot toward agentic AI, autonomous agents capable of executing entire workflows. Roughly 41% of CFOs believe these autonomous systems will yield the highest long-term returns.
This shift is prompting a massive workforce overhaul. Currently, 42% of finance leaders are prioritizing the total upskilling of their teams to focus on strategic oversight rather than data entry.
“The value of AI isn’t about taking costs out but enabling people to focus on the work that matters most,” Agresta said, noting Coupa’s $9.5 trillion proprietary data pool as the moat required to power reliable autonomous decisions.
The findings suggest a clear divide: CFOs with fully digital processes are three times more likely to see a return on their AI investment within the first year.
For the rest, the race is on to digitize before the data chasm becomes impossible to cross.
