Why have only 20% of organizations achieved revenue growth from AI?

Organizations are prioritizing long-term strategies, data control, and infrastructure over immediate financial returns, leading to slower revenue realization from AI.

What is the current state of AI adoption according to Deloitte?

Deloitte's research shows a move from experimentation to implementation, with a growing number of AI pilots entering production and agentic AI adoption on the rise.

What are the main barriers to AI adoption for businesses?

Key barriers include limited perceived use cases, thin resources, and competing priorities between running core business and investing in future innovation.

Home / Technology / AI Revenue Growth: Only 1 in 5 See Gains

AI Revenue Growth: Only 1 in 5 See Gains

23 Jan

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Summary

Only 20% of organizations achieved revenue growth from AI.
Most businesses see AI as a long-term strategy.
Data control and infrastructure are key AI priorities.

AI Revenue Growth: Only 1 in 5 See Gains

A recent study reveals that while 74% of organizations aim for revenue growth through AI, only 20% have actually realized this goal. Furthermore, a mere 25% of businesses report a transformative impact from AI, despite two-thirds acknowledging some improvement in productivity and efficiency.

Indications suggest a shift from AI experimentation to implementation, with one in four organizations moving substantial pilot programs into production. This trend is expected to accelerate in the coming six months. Agentic AI adoption is also projected to reach 74% within two years, up from 23% currently.

Businesses are strategically investing, with four in five emphasizing the importance of sovereign AI. Current priorities focus on asserting control over data and infrastructure rather than immediate financial gains. However, limited perceived use cases and competing priorities, such as maintaining core business operations alongside innovation investment, remain adoption barriers.

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