While nearly three-quarters of organizations (74%) cite revenue growth as a primary goal of their AI initiatives, only one in five (20%) have actually seen measurable gains so far — and surprisingly, many business leaders are comfortable with that outcome, according to new research.
Only a quarter of respondents say AI has had a truly transformative impact on their organizations, even though 66% acknowledge that it has delivered modest improvements in productivity and efficiency.
That said, data from Deloitte suggests the global approach to AI is shifting from experimentation to execution. Around one in four organizations have already moved at least 40% of their AI pilot projects into full production.
AI remains a long-term investment
This momentum is expected to accelerate, with the number of organizations reaching that level of deployment projected to double within the next six months. The trend indicates that executives are thinking strategically and taking a long-term view rather than chasing quick wins.
Adoption of agentic AI is also forecast to rise sharply — from 23% today to 74% within the next two years. This further reinforces the idea that leaders are optimistic about AI’s potential, but are proceeding cautiously.
Investment priorities reflect that mindset. Four out of five executives highlight the importance of sovereign AI, signaling that control over data and infrastructure currently outweighs the pursuit of immediate financial returns.
Still, challenges remain. One key issue is limited adoption driven by uncertainty around practical use cases. Fewer than 60% of employees currently use AI tools as part of their daily workflows.
For many organizations, rapid, widespread adoption may not be the goal just yet. Instead, leaders are reportedly increasing the number of restricted or banned AI tools, suggesting a stronger focus on governance, security, and foundational policies.
Deloitte also points to constrained resources as a factor behind slow ROI. Organizations are balancing the need to maintain core operations with existing technology while simultaneously investing in innovation to stay competitive.
Regardless of the underlying causes, Deloitte emphasizes that success depends on developing both people and technology in parallel. As US Head of AI Jim Rowan explains, strengthening employee skills alongside AI capabilities enables teams to adopt new business models and lays the groundwork for long-term competitive advantage.
