How AI Is Changing the Needs and Values of Finance Leaders and Their Teams - SPONSOR CONTENT FROM DELOITTE

Why It Matters

The shift forces firms to redesign talent strategies, balancing technical upskilling with soft‑skill development to maintain competitive decision‑making speed and employee engagement.

Key Takeaways

• CFOs seek digital, data, and analytics skills alongside finance knowledge
• AI adoption has not fully reduced transactional workload
• Upskilling is favored over hiring for AI expertise
• Employee engagement drops as technology resistance rises
• Flexibility and recognition now outweigh pay in talent preferences

Pulse Analysis

Artificial intelligence is reshaping finance departments from back‑office processors to strategic partners. As AI tools automate data collection and routine reporting, finance leaders are tasked with interpreting insights and guiding corporate direction. This transition elevates the importance of data‑science fluency, predictive analytics, and the ability to translate complex models into actionable business decisions, positioning finance as a central engine of growth.

However, the rapid infusion of AI has exposed a pronounced skills gap. Surveys reveal that half of finance teams struggle with employee engagement, and many report resistance to new technologies and a shortage of talent proficient in cash‑flow modeling, budgeting, and generative AI. Companies are responding by emphasizing internal digital upskilling programs rather than external hiring, yet only a minority have made substantial investments in training. The mismatch between AI’s promise and the reality of continued transactional work underscores the need for robust change‑management and continuous learning pathways.

Beyond technical capabilities, the employee value equation is evolving. Modern finance professionals place higher importance on flexible work arrangements and visible recognition, a trend Deloitte calls “stagility.” This shift challenges traditional compensation‑centric retention models and urges leaders to craft value propositions that highlight career‑building opportunities, digital skill development, and a culture of collaboration. Aligning talent strategies with these emerging preferences will be critical for firms aiming to harness AI’s full potential while maintaining a motivated, future‑ready finance workforce.