In the wake of AI fervour, business leaders are adopting a more pragmatic approach to AI strategies as they enter 2026. Recent research from the Capgemini Research Institute highlights this shift, revealing the increasing emphasis on sound governance, workforce upskilling, and data management to unlock AI's full potential.
Shifting AI Strategies
Businesses are now focusing on long-term value creation through AI, diverging from short-term gains. As outlined in the report, The multi-year AI advantage: Building the enterprise of tomorrow, organisations are steering their AI investments towards infrastructure and skills development, expecting a rise in their annual business budgets for AI initiatives to 5% by 2026. This direction underscores the importance of infrastructure and data stewardship in nurturing AI innovation.
Business leaders comprehend that AI success extends beyond mere productivity. New measures of success include revenue growth, risk management, and enhancing the customer journey. A significant portion of organisations now prioritises data sovereignty, safeguarding sensitive information to maintain control over their assets.
The Role of Leadership
Central to successful AI assimilation is leadership readiness. As Pascal Brier, Capgemini’s Chief Innovation Officer, observes, organisations now methodically integrate AI into enterprise fabrics rather than pondering its adoption. Building on strong foundations in governance and human-AI chemistry, visionary leadership emerges as a transformative enabler.
As businesses accelerate AI adoption, leaders are increasingly leveraging AI to steer decision-making processes, analysing vast datasets and producing strategic insights. However, the spotlight report, How AI is quietly reshaping executive decisions, indicates that sincerity in governance and accountability frameworks is essential for leaders to harness AI effectively.
Using AI to Inform Decisions
AI can facilitate decision-making efficiency and creativity. While AI aids strategic thinking, executives remain cautious about AI's limits; only a handful trust it to autonomously guide decisions. Concerns revolve around legal and security risks, and the challenge of justifying AI-guided choices.
Despite AI's clear utility, discussions about its use in strategic contexts remain hushed among leaders due to reputational concerns. Transparency about AI's role could mitigate perceived risks, paving the way for its broader acceptance.
