A striking paradox is shaping the finance function in 2026: while 67% of CFOs expect AI to drive the biggest transformation in their role, a massive 77% cite security and privacy as critical risks. We dive into the "Trust Gap" and how leaders in the US and UK are reframing risk to engineer growth.
If you feel like you’re living through a “glitch in the matrix,” you’re not alone. As we kick off 2026, the finance function is trapped in a fascinating, high-stakes paradox. On one hand, we are witnessing a gold rush toward Artificial Intelligence that makes the 1849ers look like casual hikers. On the other, there is a collective, white-knuckled grip on the “delete” key whenever sensitive data is involved.
A new global research report from Kyriba, featuring the debut of the OPR Index (measuring Optimism, Preparedness, and Risk), confirms what many of us discuss behind closed doors: the “Trust Gap” is the only thing standing between the current state of finance and a total AI-driven revolution.
The shift in sentiment over the last six months hasn’t just been a trend; it’s been a vertical climb. According to the data, 67% of CFOs now expect AI to be the single most transformative force in their roles over the next five years. That is a staggering 14-point jump in just half a year.
But here is the “but” and it’s a big one. While 96% of CFOs say integrating AI is a priority, a massive 77% of them are losing sleep over security and privacy risks.
We’ve moved past the “Will it work?” phase. We are now firmly in the “Will it leak my treasury data to a competitor?” phase. For the modern CFO, the mantra for 2026 has officially shifted from “Trust, but verify” to “Verify, then and only then trust.”
While the global OPR score of 93.28 indicates “measured confidence,” the story changes when you cross the Atlantic.
In the United States: The focus has shifted to what Kyriba calls “Engineered Growth”. US CFOs are using AI to aggressively shorten the distance between data and decision. 51% are accelerating reporting cycles, and 45% are increasing the frequency of their forecasting. For the American CFO, speed is the new stability.
In the United Kingdom: Optimism is surprisingly resilient. 82% of UK CFOs report a positive economic outlook despite broader market volatility. The integration rate is even more aggressive here: 95% of UK finance leaders report they are already weaving AI into their organizations, primarily as a shield against interest rate fluctuations and inflation.
We are moving away from “Copilots” (which just suggest things) to “Agents” (which actually do things).
Take the recent example of a global manufacturing firm that deployed Agentic AI autonomous systems that can independently pursue goals to handle their vendor contract auditing. Historically, the finance team could only audit their top 20% of suppliers due to manual constraints. The AI agent, however, ingested every single contract, tracked every invoice, and identified 4% “contract leakage” recovering millions in lost value that had previously slipped through the cracks of human oversight.
This is where the “Trust Gap” gets real. To get that 4% back, the CFO had to give an autonomous system access to their most sensitive directories. The research shows that currently, only 8.3% of CFOs are willing to grant “moderate access” to their core systems. We want the results, but we aren’t yet ready to hand over the keys to the kingdom.
The most insightful takeaway from the 2026 data is how CFOs are reframing risk itself. In the past, risk was a threat to be minimized. In 2026, it’s being treated as a performance variable to be modeled.
Instead of avoiding a volatile market, CFOs are using AI-powered analytics (57%) and scenario planning (61%) to play “What If?” at scale.
What if tariffs on Singapore increase by 10%?
What if the Fed cuts rates faster than priced?
What if a Tier-2 supplier in Germany goes dark?
By simulating these outcomes in real-time, finance leaders aren’t just surviving uncertainty; they are “engineering” their way through it.
The hurdle isn’t the technology; it’s the “Black Box” nature of standard AI. CFOs are now demanding Explainable AI (XAI) systems that can show their work. If an AI tells a CFO to rebalance the balance sheet, that CFO needs to be able to “debate” the AI, much like they would a senior analyst.
As we move through 2026, the winners won’t be the CFOs who adopted AI the fastest. They will be the ones who built the strongest data foundations. As the saying goes: Garbage in, garbage out; but with AI, it’s Garbage in, catastrophe out.
The “Trust Gap” is actually a sign of professional health. It shows that CFOs are doing their jobs stewarding the organization’s integrity while exploring the frontier of what’s possible.
Whether you are sitting in a boardroom in Manhattan or the City of London, the goal for the rest of the year is clear: Secure the data, verify the logic, and then unleash the agents.
The transformation isn’t coming; it’s already on your ledger.
For more data on the OPR Index and the 2026 CFO Outlook, explore the full research by Kyriba.