Why AI success starts with teams, not tech
The AI differentiator will be how organizations prepare their people and unlock their business's knowledge.
Many UK businesses are investing in AI tools, but most discussions begin with the technology rather than the people. The biggest obstacle to AI transformation is not technology but the people. Organizations have successfully navigated technology shifts before, like cloud migration and agile development. AI is changing how work gets done, requiring a shift in mindset.
Employees treating AI like another worker, knowing how to provide context, set expectations, and refine results, are seeing the biggest gains. This AI management skill will become a core workplace skill for all employees. Organizations must invest in upskilling their existing workforce, providing access to AI tools, structured training, clear governance, and opportunities for practical experimentation.
Treating learning as an ongoing discipline rather than a one-off training program will help organizations adapt to evolving AI capabilities. Traditional organizational structures are being reconsidered as AI works across teams and systems. Businesses are organizing around outcomes rather than functions, potentially leading to new operating models with fewer employees.
Making existing workflows smarter, connecting processes, and enabling information to flow more freely across the business are key steps in AI transformation. AI can become an enabler by connecting to modern workflows, cloud platforms, and business systems.
Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
