FactSet Creates Chief AI Officer Role, Names Kate Stepp to Lead AI Strategy

FactSet Research Systems Inc. has created a new Chief AI Officer position and appointed Kate Stepp to the role, marking a significant strategic shift as the financial data provider doubles down on artificial intelligence capabilities. The move, effective March 2, 2026, comes as financial services firms race to integrate AI tools into their research and analytics platforms.

The Change

Kate Stepp, who previously served as FactSet's Chief Technology Officer, transitioned to the newly created Chief AI Officer role on March 2, 2026. Bob Stolte has stepped into her former position as CTO, ensuring continuity in the company's technology leadership. The creation of a dedicated C-suite AI position represents a notable organizational change for FactSet, elevating artificial intelligence from a technology function to a strategic imperative with direct executive oversight.

The timing of this leadership restructuring is particularly noteworthy. Financial data and analytics providers have been under increasing pressure to deliver AI-powered insights and automation tools as investment firms seek to process growing volumes of market data more efficiently. By establishing a Chief AI Officer role, FactSet joins a select group of financial technology companies that have created dedicated executive positions focused exclusively on artificial intelligence strategy and implementation.

Background

FactSet, headquartered in Norwalk, Connecticut, provides integrated financial information and analytical applications to investment professionals globally. The company serves over 7,000 clients, including buy-side and sell-side firms, wealth managers, and corporate clients. With approximately $2.1 billion in annual revenues, FactSet competes directly with Bloomberg, Refinitiv, and S&P Global Market Intelligence in the financial data and analytics space.

The appointment of Stepp to the Chief AI Officer role leverages her existing knowledge of FactSet's technology infrastructure and client needs. As the former CTO, she possesses deep understanding of the company's technical capabilities and the challenges involved in implementing AI solutions at scale. Her promotion from within, rather than an external hire, suggests FactSet is building on existing AI initiatives rather than pursuing a complete strategic reset.

Bob Stolte's assumption of the CTO role maintains leadership continuity in FactSet's core technology operations. This internal succession plan indicates the company had been preparing for this transition, ensuring minimal disruption to ongoing technology projects and platform development.

What It Means

The creation of a Chief AI Officer position signals FactSet's recognition that artificial intelligence has become central to competitive differentiation in financial data services. This organizational change likely reflects several strategic priorities: accelerating AI product development, improving data processing capabilities, and responding to client demand for more sophisticated analytical tools.

For FactSet's clients, this leadership change could translate into enhanced AI-powered features across the company's product suite. Investment firms increasingly rely on machine learning models for tasks ranging from earnings transcript analysis to risk assessment, and a dedicated AI leadership role suggests FactSet plans to expand its offerings in these areas.

The move also positions FactSet to compete more effectively with larger rivals. Bloomberg has invested heavily in Bloomberg GPT, a large language model trained specifically on financial data, while Refinitiv has integrated AI capabilities throughout its Workspace platform. By elevating AI leadership to the C-suite, FactSet signals its intent to match or exceed these competitive offerings.

From an investor perspective, this organizational change reflects the broader technology transformation occurring across financial services. Companies that successfully integrate AI into their core offerings may command premium valuations, while those that lag in AI adoption risk losing market share. FactSet's decision to create a Chief AI Officer role suggests management recognizes this dynamic and is taking proactive steps to ensure the company remains competitive.

The internal nature of both appointments - promoting Stepp from CTO to Chief AI Officer and elevating Stolte to CTO - demonstrates organizational depth and succession planning. This approach minimizes transition risk while allowing FactSet to move quickly on AI initiatives without the lengthy onboarding period typically required for external hires.

As financial markets generate ever-increasing volumes of data, the ability to process and analyze information using AI becomes a critical differentiator. FactSet's leadership restructuring represents a clear bet that artificial intelligence will define the future of financial data and analytics services.