Recent research by Emergn indicates that enterprise leaders are moving from exploratory phases of artificial intelligence (AI) to expecting measurable returns from their investments within shorter timelines. This reflects an increasing focus on demonstrable outcomes.
Previously, AI initiatives often operated as pilots with some flexibility. Today, AI is being treated as a core driver of business value, with no organisations reporting disengagement from AI, highlighting widespread adoption.
As AI expenditure becomes a more visible part of financial planning, leaders are evaluating projects in a commercial context. Funding is no longer open-ended; AI initiatives are assessed similarly to traditional business investments, with attention to timelines, margins, and measurable outcomes.
The study surveyed 751 senior leaders, including CEOs, CTOs, and COOs from the UK and US, revealing a shift from pilot projects to broader deployment:
- 34% report AI projects taking longer than expected, often under board-imposed deadlines.
- 29% indicate AI has not yet met expectations.
- 57% note organisational expectations are exceeding delivery capabilities.
- 55% identify talent in problem framing, outcome design, and market integration as critical for achieving goals.
- 77% expect new AI solutions to generate business value within 12 months.
- 0% of respondents remain uninvolved in AI or anticipate returns only beyond two years.
Despite alignment with strategic priorities, many leaders report challenges in execution. Project delays, skill gaps, and increasing pressure highlight the importance of translating ambition into measurable outcomes. Effective adoption now requires more than technology—it depends on disciplined delivery, relevant skills, and clear accountability for results.
Alex Adamopoulos, Chairman and CEO of Emergn, summarises the shift: AI is moving beyond experimentation and is now assessed by its ability to deliver measurable impact at scale.
