For all the promises of AI revolutionising work, recent findings highlight a paradox: productivity, the metric AI is supposed to supercharge, is still in decline. An article in The Register this week reports that while new Intel ‘AI PCs’ aim to enhance workflows, their complexity often overwhelms users, leaving them frustrated rather than empowered. Instead of simplifying work, poorly designed tools and new AI communication overheads can create more barriers, reducing productivity and eroding trust.
Is AI being overhyped for this kind of personal productivity, or are we failing to integrate it effectively? The answer lies not in AI itself but in how it’s implemented, understood, and utilised. Misaligned expectations, skill gaps, and inadequate design can undermine AI’s transformative potential. Yet, despite these challenges, AI’s capacity to reshape productivity remains unparalleled if we learn to harness it effectively.
The new OECD report “Miracle or Myth?” compares AI to electricity and the internet as a technology that could revive stagnating productivity. For businesses like Revolut, this means efficiency gains of up to 200% in certain teams. But rather than cutting staff, they’re reinvesting these gains to scale faster and grow.
Yet there’s a clear mismatch between AI’s capabilities and workers’ readiness. Resume Genius found that while most believe AI could make them more productive, over half feel unprepared to use it well. This gap between optimism and preparedness holds back AI’s potential.
Startups show a different picture. The Scaling Through Chaos report shows they’re using AI not to replace jobs but reimagine them. Founders expect headcounts to grow, especially in engineering and product teams. AI creates demand for roles focused on building and improving AI systems.
Some roles, particularly in marketing and customer support, may shrink as automation improves. However, Revolut’s Chief Marketing Officer describes how AI lets smaller teams achieve what once needed large groups.
This points to a key truth: AI isn’t replacing humans but changing how we work. By handling routine tasks, it lets us focus on innovation and complex problems. But this needs deliberate action. As Job van der Voort of Remote notes, teams must experiment and learn by doing, to overcome the adoption hurdles.
Takeaways: Organisations need to focus on training and integration alongside AI adoption. The winners will be those who use AI to amplify human capabilities and give their teams the necessary support and space to transition. Start small, learn fast, and keep humans at the centre of your strategy.