AI: find your niche in the hype cycle

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After two years of nonstop AI buzz, businesses are on a mission to find original ways to talk about it. Our recent news tracking analysis shows there’s a ‘uniformity trap’: too many AI campaigns are telling the same stories, which dilutes their impact.

To stand out, businesses need unique insights and detailed, actionable data. That means finding the area of AI that’s most relevant to their business, rather than jumping on trends that might be peaking but are likely to decline. For long-term impact, businesses must find their niche.

Our analysis shows, for instance, that AI governance is a relatively untapped area that’s experiencing significant growth. The first wave of AI implementation is behind us, and businesses’ plans to adopt and use AI are outpacing their abilities to do so. This is increasing demand for effective governance.

Thought leadership can have real value here. With 97 per cent guatemala mobile phone numbers database of businesses feeling pressure to deploy AI-powered technologies, executives need to avoid making hasty investment decisions. Instead, they need to know how to address the challenges ahead, including high upfront investments, getting employee buy-in, and AI’s impact on greenhouse gas reduction targets. Understanding these issues and how to tackle them will enable these businesses to seize the opportunities of AI ethically and for the long term.

Ben Bschor, Group Editor, Leadership & Strategic Innovation

Agility: it starts with leadership
Agile workforces are becoming the norm in an unpredictable world, and recent disruptive events have given businesses the chance to stress-test how well they work.

The results? Agile working has many advantages, but not every executive fully understands it. And as McKinsey explains, building agile organisations, or “collaborative networks of self-managing teams that operate in rapid cycles”, has to start at the very top.