Artificial intelligence is quickly becoming the defining priority for enterprise technology leaders, but new research from Deloitte suggests many organizations are still operating with structures built for an earlier era of work.
Deloitte’s 2026 Global Technology Leadership Study, based on responses from more than 660 technology executives worldwide, found that CIOs, CTOs, CISOs, and chief data leaders are increasingly measuring success through AI adoption, automation, and AI-driven business outcomes.
At the same time, their responsibilities continue expanding beyond AI into cybersecurity, compliance, operational stability, and enterprise performance.
AI Pressure Is Growing Faster Than Organizational Change
The study found that most companies are asking technology leaders to scale AI initiatives without significantly restructuring budgets or operating models.
Technology investment averaged about 6% of revenue in 2026, while nearly 90% of surveyed leaders said no more than a quarter of their budgets currently go toward AI initiatives.
Despite that, AI has become the central focus for many enterprise technology teams.
Deloitte also found that 75% of surveyed leaders believe their operating models will need major changes within the next 12 to 18 months to fully support AI-driven transformation.
The Tech C-Suite Is Expanding
Organizations are also adding more specialized technology leadership roles.
More than 70% of surveyed companies now have at least five technology-focused C-suite positions, including roles such as chief AI officer, chief data officer, CIO, CTO, and CISO.
The report suggests that expansion is making coordination more complex as organizations try to align AI strategy, governance, security, and business priorities across multiple teams.
Tech Leaders Need Business Skills Alongside Technical Depth
The study found that executives increasingly view technical expertise alone as insufficient for future leadership.
AI literacy, cybersecurity, governance, and architecture remain top priorities, but leaders also highlighted the importance of managing human-AI collaboration, building AI-ready teams, and connecting technology decisions directly to business outcomes.
The findings point to a larger workplace transition where technology leaders are being pushed further into enterprise strategy as AI becomes embedded across more areas of business operations.
