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CFOs are bullish on profits amid AI enthusiasm

 

AI is boosting productivity now. Will revenue gains follow?

 

Want to learn more about the topics and trends finance leaders are reporting? Attend our CFO survey webcast on Oct. 6 at 1 p.m. ET

CFO confidence presents a striking contrast: Finance leaders remain measured in their view of the broader economy while expressing record optimism around their own organizations’ profits.

 

Growing evidence that AI investments are delivering business value may be one factor supporting that confidence, even as leaders navigate tariffs, geopolitical instability and an uneven economic outlook.

 

Just 46% of finance leaders in Grant Thornton’s 2026 Q3 CFO survey are optimistic about the U.S. economy, yet 80% — an all-time high over the survey question’s 18 quarters, project profit growth for their organizations over the next 12 months.

Paul Melville

“Business leaders are very comfortable that they’re going to hit their net profit forecasts, and part of that is backed up by the fact that they’re seeing the productivity gains now that they expected from AI.”

Paul Melville 

Chief Growth Officer
Grant Thornton Advisors LLC

 

While the 46% economic optimism mark is up nine percentage points from last quarter, it’s still four points below the 21-quarter average of 50%. Nonetheless, an eye-catching 35% of the 229 U.S. finance leaders surveyed from Aug. 7–21 are predicting net profit growth in excess of 10%, topping the previous high of 30% recorded in the fourth quarter of 2024.

 

Growing evidence of AI-driven productivity gains is helping support confidence in future profits, even as finance leaders remain concerned about tariffs and geopolitical instability amid ongoing hostilities in Iran, Ukraine and Gaza.

 

“Business leaders are very comfortable that they’re going to hit their net profit forecasts, and part of that is backed up by the fact that they’re seeing the productivity gains now that they expected from AI,” said Grant Thornton Chief Growth Officer Paul Melville.

 

Finance leaders are overwhelmingly positive about their commitment to AI and the effects AI is having on their businesses:

  • 84% expect their AI spending to increase over the next 12 months
  • 65% rate the performance and quality of AI technology as good or excellent, while just 2% rate it as poor or very poor.
  • Finance leaders credit AI with improving productivity (63%), enabling better decisions (45%) and improving workforce effectiveness (44%)
 
 

Together, these findings indicate broad confidence in AI’s current performance and future potential. They also suggest that organizations limiting adoption to isolated or convenient use cases may struggle to keep pace with competitors pursuing more strategic, enterprise-wide transformation.

 

With most finance leaders satisfied with AI’s performance and returns, the central question is whether organizations can redesign processes and manage change well enough to capture its full value.

 
 

AI ROI is gaining momentum

 
 

Layoff expectations sink to 18-quarter low

 

Many employees are concerned about being replaced in their jobs by AI, but the survey does not indicate an increase in near-term layoff plans among respondents.

 

Just 24% of finance leaders said their organization has the potential for layoffs in the next six months — an all-time low over the 18 quarters the question has been asked in the survey.

Finance leaders now overwhelmingly say AI is making an impact on performance, not just potential. Forty percent said AI ROI exceeded expectations, and another 44% rated returns as meeting expectations in a finding that surprised Grant Thornton Partner, AI & Data Sumeet Mahajan. He has spent many months answering questions from CFOs who have been concerned that their AI returns might not match their AI investments.

 

Mahajan said organizations may need a broader framework for measuring AI ROI in bottom-up use cases such as employee adoption of basic, enterprise-wide tools. While productivity gains may not immediately translate into measurable profit-and-loss (P&L) impact, value is often realized through improved output, faster decision-making and employees’ ability to focus on higher-value activities.

 

Meanwhile, AI revenue transformation is being driven by top-down AI installations where leadership re-engineers enterprise-level processes and workflows to capitalize on AI capabilities.

Sumeet Mahajan

“Stay focused on adopting AI in the functions that make the most sense to transform in accordance with your business strategy.”

Sumeet Mahajan 

Partner, AI & Data
Grant Thornton Advisors LLC

 

“CFOs are using a broader lens of what value is, so they’re seeing those returns,” Mahajan said. “And some companies are deploying transformative workflow-level use cases and seeing the benefits. The potential we are seeing here is exciting and encouraging.”

 

For many organizations, however, AI-driven revenue growth remains an emerging opportunity rather than a result that has already been accomplished. One-third of finance leaders report enhanced revenue as an AI benefit, indicating that the next phase of value will depend on extending AI beyond productivity tools and into enterprise processes and workflows.

 

The survey also sheds light on the areas of organizations that are being transformed the most by AI today. Perhaps predictably given their position, finance leaders said finance and accounting was the top function for AI-driven transformation. Customer service was close behind, followed by cybersecurity.

 

There was a significant gap between those who identified finance and accounting as a top-three area for AI transformation (39%) and those who selected supply chain (6%). But Mahajan said that’s OK.

 
 

He encourages leaders to prioritize areas of their business strategy that would benefit most from AI transformation and focus on lower-impact areas later.

 

“Stay focused on adopting AI in the functions that make the most sense to transform in accordance with your business strategy,” Mahajan said. “Make sure those functions are taking full advantage of AI.”

 
 
 

Transformation requires prioritization

 
 

Competitive pressure on AI is intense

 

Competition is the top motivator in finance leaders’ AI adoption efforts. Respondents reported high or very high pressure for AI transformation coming from competitors (46%), boards (41%), investors (36%) and customers (34%). 

As AI technology and returns increasingly meet CFO expectations, organizational execution is becoming a more significant constraint. Although finance leaders are largely satisfied with their transformation progress, competing priorities, limited budgets and change-management gaps may prevent organizations from capturing AI’s full value.

 

Eighty-four percent of finance leaders say their transformation progress is meeting or exceeding expectations, and just 16% report frequent delays or struggles with their strategic transformation outcomes. But they identify competing business priorities (43%) and budget constraints (43%) as their top obstacles to transformation.

 

These obstacles are closely connected. When organizations spread funding and leadership attention across too many initiatives, individual transformation efforts may lack the resources and focus required to succeed.

 

One-third of finance leaders said more disciplined prioritization was a top element that would improve their ability to transform.

 

“The best organizations might put 15 objectives on a roadmap, but they identify three to five core enterprise priorities that they absolutely must get right,” said Grant Thornton Transformation Partner Jennifer Morelli.

 
 

Transformation initiatives can be most effective when leaders:

  • Ruthlessly prioritize their strategic objectives: Today, transformation and adopting AI to meet business goals should always be near the top of the list.
  • Create a dedicated transformation capability within the organization: “A lot of companies treat transformation as a side job,” Morelli said. “They need leaders responsible for driving transformation and have to protect their business leaders’ capacity to either support transformation or do their everyday jobs.”
  • Fund outcomes, not projects: Funding should be tied to the performance metrics that you want to achieve. Implementing a given technology tool is a project; the outcome will be the results that tool delivers. Decide which metrics you want the tool to create, and fund them.
Morelli Jennifer

“Companies spend time redesigning systems, but they don’t spend time redesigning how people should do their jobs. That’s a big opportunity to drive lasting value.”

Jennifer Morelli 

Partner, Transformation
Grant Thornton Advisors LLC

The survey also shows a technology element to the transformation challenge. The top actions needed to improve an organization’s ability to transform are better technology infrastructure and better data and analytics, according to the survey.

 

Morelli also pointed to the human element as an area where companies fall short in transformation.

 

“You need to redesign the work,” she said. “Companies spend time redesigning systems, but they don’t spend time redesigning how people should do their jobs. That’s a big opportunity to drive lasting value.”

 

 
 
 

Are tariffs nullifying tax law benefits?

 
 

Buckle up for healthcare cost increases

 

Although cost-cutting expectations declined in most areas, 34% of finance leaders expect to trim insurance and benefits costs, up from 24% last quarter.

 

That’s likely because as open enrollment approaches, CFOs are expecting large increases in healthcare costs. If companies reduce pharmacy benefits or increase employee cost-sharing requirements, it’s important to explain why.

 

“When benefit changes become necessary, transparency is essential to maintaining employee trust and understanding,” said Grant Thornton Partner Jennifer Morelli.

The need for disciplined execution extends beyond AI. Finance leaders are also navigating tax provisions, tariffs and trade-policy changes that can create value or erode it depending on how effectively organizations respond.

 

Respondents had more negative views than positive views of the current geopolitical stability (43% negative to 31% positive) and trade policy and tariffs (44% to 34%). The harm done to many businesses by tariffs and trade policy shifts has offset some of the benefits from the One Big Beautiful Bill Act (OBBBA) tax law.

 

Forty-four percent said the OBBBA provisions improved their business, compared with 21% who said the tax law harmed their business. But 60% said tariffs and trade policy shifts have caused harm, while 26% benefited from these shifts.

 

“It’s clearly a mixed bag, with counterbalancing weights,” said David Sites, National Managing Partner of Grant Thornton’s Washington National Tax Office. “When you look at it on balance, OBBBA gave to businesses, and tariffs took away from businesses.”

 

Even though the OBBBA was signed into law 14 months ago, Sites said some companies haven’t fully capitalized on its provisions. For example, in addition to making international tax provisions permanent, the bill modified them with benefits that might not be obvious to company leaders.

 

The OBBBA’s foreign-derived income incentive’s reduced tax rate became more widely available to exporters than under previous law. Because of this change and others, comprehensive analysis of the new provisions and their interaction with one another have the potential to uncover more tax savings.

 

“You have to do your homework, and you have to be good at implementation to take advantage of all the benefits of the OBBBA,” Sites said.

 
 
David Sites

“Demand looks good, and the survey results indicate optimism about future profits and the ability to maintain growth. In a way, that all comes back to the American consumer.”

David  E.  Sites 

National Managing Partner,
Washington National Tax Office
Grant Thornton Advisors LLC

In the changing tax and tariff environment, company leaders need to:

  • Focus intently on compliance: The OBBBA is complex, and tariff rules are constantly shifting, making compliance difficult.
  • Pursue tariff refunds when available: Companies that may be eligible for tariff refunds should evaluate available opportunities and determine whether further action is appropriate.
  • Monitor pricing and the supply chain: Some tariff costs might need to be passed on to consumers (and perhaps tariff refunds should be passed along, too). And suppliers with large tariff exposures might be able to be replaced by those subject to lower duties.

Despite all those challenges, companies are fortunate that one economic factor continues to work strongly in their favor. Sixty-one percent of finance leaders have a positive view of customer demand, compared with just 15% who have a negative view.

 

“The American consumer remains fairly strong,” Sites said. “Demand looks good, and the survey results indicate optimism about future profits and the ability to maintain growth. In a way, that all comes back to the American consumer.”

 

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Key takeaways

 
 

Our survey shows that finance leaders are experiencing the first wave of AI value through productivity gains, better decision-making and workforce effectiveness. The next opportunity is more ambitious: moving beyond individual tools and isolated use cases to redesign processes in ways that can improve revenue and enterprise performance.

 

The good news is that there are many more waves to come.

 

“Every time somebody thinks investment in AI has reached a peak, there are more huge investments that dwarf the previous numbers,” Mahajan said. “We believe we will continue to see larger investment numbers year over year, period over period. At some point it will plateau, but there is no plateau in sight now.”

 

As this plays out, businesses need to get ready for the next wave. The productivity gains created by company-wide installations of Copilot and other bottom-up tools will be supplemented by top-down process reimagination that enables revenue generation improvements.

 

“More companies may start experiencing revenue growth as we get into 2027,” Melville said. “All things being equal economically, you could start to see that revenue lift.”

 

As finance leaders pursue those revenue increases, our survey indicates that they should pursue the following actions:

  • Spend wisely: The 62% who said IT and digital transformation expenses will rise in the next year dropped slightly from 67%, 68% and 67% in the last three quarters. That may be because they’re settling on solutions after a time of experimental spending. While funding AI is critical, prudent spending on the right technology also is essential. “As we used to say with cars, do you need a Rolls-Royce to go to the supermarket, or is a Chevy going to be fine?” Melville said.
 
 
  • Pursue AI efficiency in sales and marketing: Just 39% of finance leaders expect their sales and marketing expenses to increase in the next 12 months. That’s a 13-quarter low and a drop from 53% last quarter. For many, AI has the potential to make sales and marketing more efficient. “AI can now give us real-time data so we can adjust to get better ROI on sales and marketing expenses,” Melville said.
  • Communicate skillfully: Whether you’re asking employees to share in higher health insurance costs or changing their job responsibilities to take advantage of AI capabilities, transparency creates an atmosphere of trust. With AI in particular, it’s important to show employees how effective use of this technology can help them increase their value to the business by delivering better results for their team. “There’s an education component in business that’s really critical right now,” Morelli said.
  • Promote collaboration to boost AI adoption: Leaders need to be intentional in finding ways for employees to share their AI deployment strategies and success stories with one another. “Our clients who are doing well with AI are bringing people together on a regular basis to talk about wins and what they’ve learned,” Melville said. “This helps them be better moving forward.”

 

Sometimes moving forward requires a look back for context. The state of the economy is uncertain, but experienced finance leaders understand how to handle this after more than a half-decade of shocks that started with the COVID-19 pandemic and continued with interest rate volatility, war in Europe and the Middle East, and tariff challenges.

 

The fierce competition to implement AI might be unsettling, too, until you look back.

 

“Think about where we were two years ago with technology,” Melville said. “We were nowhere near where we are now. The bar is going up and up. But in business, we’re ready for that.”

 
 

Contacts:

 

Chicago, Illinois

Industries

  • Construction & Real Estate
  • Healthcare
  • Manufacturing
  • Retail & Consumer Brands

Service Experience

  • Advisory Services
Paul oversees Grant Thornton’s industry, geography, commercial platforms and analytics, and global account efforts. He leads Grant Thornton’s AI, Data and Technology practice and has over 30 years of experience in advising clients. He has advised stakeholders, including bank groups, customers, suppliers and shareholders, in several different scenarios, including company viability, reconstructions, debt restructuring and strategic options.
 

Chicago, Illinois

Industries

  • Manufacturing
  • Retail & Consumer Brands

Service Experience

  • Artificial intelligence
  • Business Consulting
  • Technology Modernization
Sumeet enables clients to unlock measurable value with AI and data by linking business strategy to AI strategy and guiding build/buy/partner decisions. He has extensive experience leading end-to-end AI and machine learning initiatives—spanning strategy through deployment—focused on supply chain, operations, and revenue management. He has also helped some of the world’s largest companies build internal data and AI capabilities at scale. Prior to joining Grant Thornton, he held multiple leadership roles at Accenture, including North America Head of AI.
 

Philadelphia, Pennsylvania

Industries

  • Healthcare
  • Manufacturing

Service Experience

  • Advisory Services
  • Business Consulting
Jennifer is a Partner in Grant Thornton’s Advisory Services and leads the firm’s Workforce Transformation practice. She focuses on enterprise-wide business transformation, workforce strategy, HR transformation, operating model design, organizational effectiveness, and AI-enabled transformation. Jennifer brings nearly 20 years of consulting experience partnering closely with C-suite leaders to address the people, process, and organizational challenges that often determine the success of large-scale transformation programs. Jennifer is recognized for helping organizations realize the full value of transformation investments by aligning leadership, culture, workforce capabilities, and employee adoption with strategic business priorities.
 

Washington DC, Washington DC

Industries

  • Manufacturing
  • Technology
  • Retail & Consumer Brands

Service Experience

  • Tax Services
  • International Tax
David serves as National Managing Partner of Grant Thornton’s Washington National Tax Office (WNTO), where he is responsible for all technical areas of growth, delivery and talent development. He leads the continued growth and evolution of WNTO and helps guide the firm’s response to significant legislative, regulatory and technical tax developments. With more than 25 years of public accounting experience, David is recognized for his deep expertise in international taxation and complex cross-border matters. He helps multinational organizations interpret changing tax rules, evaluate their practical business implications and address challenging U.S. federal and international tax issues.
 

Appendix

 
 
 

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