By Lina Irawan 
The comprehensive IBM study, released this morning, highlights that the CFO role is set to increase dramatically in both breadth and depth, with a distinct cohort of "AI-first CFOs" leading this charge. These forward-thinking finance leaders are not just adapting to technological change; they are actively shaping it to redefine value creation within their organizations.
The research, conducted in collaboration with Oxford Economics, gathered perspectives from 1,500 CFOs across 33 geographies and 26 industries in the first half of 2026, supplemented by in-depth CFO interviews. Its central finding reveals a profound redefinition of the finance function. A striking 62% of CFOs surveyed reported that their role has already expanded significantly to include leadership in enterprise technology and AI strategy. Beyond this, more than half also noted increased authority in portfolio management and capital reallocation, alongside greater responsibility for designing business models and growth strategies. This expansion signals a convergence of financial acumen with technological foresight, demanding a new breed of leadership at the helm of corporate finance.
Looking ahead, the expectations for the CFO’s remit are even more expansive. By 2030, a majority of CFOs anticipate an even wider scope of influence. Specifically, 56% expect to bear greater responsibility for establishing the financial and ethical guardrails surrounding AI implementation. This indicates a proactive stance on governance and responsible AI, moving beyond mere compliance to strategic oversight of AI’s societal and business impact. Furthermore, 55% foresee a larger role in shaping operating models, workforce strategies, and organizational structures, while 52% expect to play a more significant part in enterprise value creation and comprehensive portfolio strategy. These figures paint a clear picture of the CFO transcending traditional boundaries to become a holistic business leader, deeply intertwined with every facet of corporate development.
These compelling findings resonate deeply with Jim Kavanaugh, IBM’s CFO and Senior Vice President of Finance and Operations, a seasoned finance leader who has steered IBM’s financial strategy for nearly a decade. "For years, the CFO role centered on controllership, risk, fiduciary responsibilities, balance-sheet preservation and cash management," Kavanaugh remarked, drawing on his over 30 years of experience with the technology giant, including his tenure as CFO since 2018. "Today, technology is at the core of sustainable competitive advantage. The CFO is a value creator."
Kavanaugh articulates this shift as a transformation from a "guardian of stability" to an "agent of transformation." In the past decade, and particularly over the last five years, the finance chief’s mandate has evolved from primarily safeguarding assets and ensuring compliance to actively driving strategic initiatives, fostering innovation, and identifying new avenues for growth. This transition is not merely incremental; it represents a fundamental reorientation of the CFO’s strategic imperative.
Crucially, Kavanaugh emphasizes that AI is making the CFO role more interconnected with other C-suite functions, rather than replacing them. The modern enterprise thrives on collaborative leadership. While CEOs define strategic direction, technology leaders enable new capabilities, Chief Operating Officers reimagine workflows, and Chief Human Resources Officers shape talent and culture, the CFO’s unique task is to synthesize these diverse decisions. They must connect these strategic imperatives to a coherent investment thesis, a viable operating model, and measurable value outcomes. This demands not just financial expertise but also a deep understanding of technology, operations, and human capital. "I think CFOs who co-architect the AI strategy business model can shape markets and define new sources of value," Kavanaugh asserted, highlighting the proactive, market-shaping potential of the AI-empowered CFO.
Why Finance’s AI Transformation is Still Lagging
Despite the clear imperative for AI adoption and the expanding strategic role of the CFO, the IBM survey, conducted with Oxford Economics, uncovered another striking finding: only a mere 6% of CFOs described their finance organization as "transformation-ready." This definition of readiness implies that AI is consistently embedded in workflows and decision-making processes at scale, a benchmark few currently meet. This significant gap between aspiration and reality points to systemic challenges in integrating AI effectively within finance functions.
Kavanaugh attributes this lag primarily to a "sequencing problem." Many companies, eager to harness the power of AI, often rush to deploy AI tools without first laying the foundational groundwork necessary to make these technologies truly valuable. He identifies three critical prerequisites for successful AI transformation: sound data architecture and governance, comprehensive business-model and workflow redesign, and only then, the strategic deployment of technology. "Many people fail because they start with AI technology first," Kavanaugh explained. "You have to unlock the data and unlock the business-model reimagination of work."
This "sequencing problem" highlights a common pitfall in technological adoption. Without robust data architecture, AI algorithms lack reliable, high-quality inputs, leading to inaccurate insights and inefficient processes. Poor data governance can also introduce biases, security risks, and compliance issues. Similarly, attempting to overlay AI onto outdated or inefficient business models merely automates existing inefficiencies. True transformation requires a prior, meticulous re-evaluation and redesign of core processes, optimizing them for digital capabilities before introducing advanced AI tools. This ensures that AI is applied to streamlined, purposeful workflows, maximizing its impact.
IBM’s own transformation journey provides a compelling case study. Kavanaugh pointed to the company’s "quote-to-cash" process, an end-to-end workflow encompassing everything from customer quotes and contracting to billing, collections, and cash receipt. Historically, IBM identified 364 different iterations of this process across various job roles and functions, leading to significant inefficiencies and delays. By redesigning this as an integrated, end-to-end, cross-functional workflow and then strategically embedding AI to automate numerous steps, IBM achieved remarkable results.
The outcome, Kavanaugh proudly stated, was 90% touchless automation, a 60% improvement in productivity, and a 54% increase in the velocity of cash conversion. These aren’t just incremental gains; they represent a fundamental restructuring of how business is conducted, driven by intelligent automation. Over the past three years, IBM has generated $4.5 billion in productivity improvements and aims to reach $5.5 billion by 2026. Crucially, the company views these gains not merely as cost-cutting measures but as capacity to invest in growth initiatives, fueling further innovation and market expansion.
The study offers an in-depth analysis of how "AI-first CFOs" distinguish themselves across five key disciplines: shaping advantage, governance, intelligence, capital motion, and building optionality. These leaders are not just managing finances; they are actively driving strategic direction, establishing robust ethical frameworks for AI, leveraging advanced analytics for deeper insights, optimizing capital allocation for growth, and fostering organizational agility. Companies led by these AI-first CFOs achieved revenue growth rates 23% higher than peer organizations from 2022 to 2024, demonstrating a clear correlation between advanced AI integration in finance and superior business performance.
In Kavanaugh’s view, the defining challenge for organizations today is to move beyond perceiving AI as merely a technology project with a human component. Instead, it must be embraced as a holistic business transformation that seamlessly integrates human and digital work to create sustainable enterprise value. This perspective elevates AI from a departmental tool to a core strategic lever for competitive advantage.
Leaderboard: Fortune 500 Power Moves
In other significant executive movements, Dave Fox, the esteemed CFO of Northern Trust Corporation (No. 317 on the Fortune 500), has announced his intention to retire. Fox plans to remain in his role through the end of the first quarter of 2027, ensuring a smooth transition. Northern Trust has initiated an internal and external search for his successor. During this period, Fox is expected to continue leading the finance function, working closely with Michael O’Grady, chairman and CEO, and the broader leadership team. Fox joined Northern Trust in 2012, having previously served as president of global family and private investment offices and EVP and head of the Americas for corporate and institutional services. Prior to his tenure at Northern Trust, he amassed over 25 years of experience at JPMorgan. These C-suite shifts underscore the dynamic nature of financial leadership within major corporations.
In other notable appointments, Kathy Cherian has been named CFO of David’s Bridal. Cherian most recently served as CFO of Magnolia, where she oversaw finance operations across its diverse retail, e-commerce, media, hospitality, and consumer-products businesses. Her extensive experience also includes over a decade at Nike, where she held roles such as CFO of Nike Canada and various global business-planning positions. Additionally, Rachita Sundar has been appointed CFO of Zendesk. Sundar succeeds Julie Swinney, who has transitioned to Chief Administrative Officer and executive sponsor of Zendesk’s Employee Service business. Sundar brings over 20 years of robust finance and business-operations experience from leading technology companies, including Microsoft Azure, HubSpot, and Qualtrics, signaling a continued trend of tech-savvy finance leadership.
Big Deal: The Workforce in Motion
The evolving landscape of AI and automation also has profound implications for the global workforce, a subject explored in depth by the McKinsey Global Institute’s new report, "Workforce in Motion." The report projects that AI, automation, and broader economic shifts could trigger the largest and most sustained workforce transformation in U.S. history. While the economy is anticipated to create more jobs than automation displaces over the next decade, a staggering more than 70% of workers may require some level of reinvention. This is because new tasks are expected to consume over 15% of their time, necessitating significant upskilling and reskilling. The demand for AI fluency, in particular, has surged 11-fold since 2022, according to McKinsey, underscoring the urgent need for employers to invest strategically in reskilling initiatives and clearer pathways to new roles. This directly impacts the CFO’s expanded role in workforce strategies and capital allocation for human capital development.
Going Deeper: The Economics of the AI Race
The immense financial implications and inherent risks of the burgeoning AI race were starkly illuminated by Anthropic’s recently leaked IPO prospectus, as reported by Fortune’s Beatrice Nolan. The maker of the Claude AI model, while reporting a rapid growth to $4.6 billion in 2025 revenue, also disclosed a substantial $42 billion net loss and over $8 billion in operating losses. Furthermore, the prospectus revealed staggering future commitments totaling $518 billion for cloud, computing, and infrastructure. These figures underscore the enormous capital expenditure required to compete at the forefront of AI development, making the CFO’s role in strategic capital motion, risk assessment, and long-term financial planning absolutely critical for companies navigating this high-stakes technological frontier.
Overheard: AI’s Untapped Potential
"The industries where AI matters most are still not the ones getting the most attention. Housing has enormous problems to solve, and we’ve grown by going deeper with our customers until we solve them at the root." —Minna Song, founder and CEO of EliseAI, shared this insight in a recent interview with Fortune. EliseAI, an artificial intelligence company specializing in automating back-office functions for landlords and health systems, recently secured $350 million in funding, achieving a $4 billion valuation and nearly doubling its value in just over a year. Song’s comments highlight the vast, often overlooked, opportunities for AI to drive efficiency and value creation in traditional sectors, beyond the high-profile generative AI applications, further emphasizing the strategic imperative for CFOs to identify and invest in these transformative applications.
The confluence of technological advancement, strategic imperative, and evolving leadership demands is unequivocally reshaping the CFO role. No longer confined to historical financial stewardship, the modern CFO is emerging as a dynamic, technologically adept, and ethically grounded leader, driving enterprise value in an AI-first world.
