Data chiefs plotting mass exodus over AI roadblocks

Nearly two-thirds of data leaders in the UK are planning to quit their jobs within the next 12 months, driven by a raft of issues – especially when it comes to implementing AI initiatives – including siloed teams, vague mandates, talent shortages and pressure to demonstrate rapid ROI.

So says a new study by recruitment firm Lucent Search, “AI and Data Leadership Survey 2025, The New Business Blueprint, AI From Hype to Execution”, which exposes a sector under huge pressure.

When asked about the most challenging aspects of their role, 55% said “securing top talent” is very challenging in their organisation, making it the number one pain point. Nearly as many (around 45%) said retaining that talent is equally difficult.

Meanwhile, over half (51%) said “cross-departmental collaboration” is very challenging, indicating frustration with siloed structures – for example, the data team might have difficulty getting data or cooperation from another department, or business units might resist integrating AI solutions developed elsewhere.

Similarly, a significant number cited “integration challenges” and “scaling AI solutions” as very hard.

Another pain point is measuring ROI. Over 70% find it very or moderately challenging to quantify the return on AI initiatives, which can make it harder to justify further investment and get buy-in.

And, while “getting organisational buy-in for AI projects” was not the top issue overall, one in four still find it very challenging.

The report highlights a persistent “execution gap” in UK businesses: while AI investment is growing, operational delivery is being held back by siloed teams, vague mandates, and pressure to demonstrate rapid ROI.

More than half of the surveyed leaders said cross-departmental collaboration is “very challenging”. At the same time, 85% find it difficult to quantify the value of AI initiatives – challenges that especially hinder adoption in risk-averse sectors.

Lucent Search founder Rebecca Hastings, who is also author of the report, said: “The AI talent crisis is no longer theoretical, it’s happening now. Organisations can’t afford to wait. Without the structure and leadership support that top data professionals demand, they will fall behind. The next 12 months will define who keeps their talent, and who loses their AI edge.”