Category: trends
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Are we having the wrong conversation on AI and jobs?
Given all the hype you’d be forgiven for thinking that we’re on the cusp of an AI-driven apocalypse in the jobs market. But are we? Last year Dario Amodei, CEO of Anthropic, described what was called at the time a ‘white-collar bloodbath’. Up to
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Organisational knowledge in the age of AI
I’m not a fan of trendy neologisms like ‘prompt engineering’. Marvin Minsky once described how ‘suitcase words’ (high-level and abstract terms) often contain a variety of different, sometimes jumbled meanings. And there’s a lot of suitcase words around AI right now. But
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What comes after LLMs?
Last week I wrote about the fundamental differences in the way that large language models and humans learn, and I noted that many of these differences speak to some integral limitations of text-based language models. This is particularly true when thinking about where AI
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The differences between how LLMs and humans learn
I’m not a technical AI expert but I have tried hard to learn more about how LLMs work, mostly so that I can better understand the role that AI can play, its potential and its (current) limitations, and how humans can best
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The Future of Agencies in the Age of AI
Last week I spoke at the Google Partner Summit in Dublin about managing agency change in the era of AI, and then moderated a panel of exceptional agency leaders including Pats McDonald, Christina Lemieux, and Liam Wade. In my talk I spoke about the need to combine
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The Future of Strategists and Planners
The latest WARC Future of Strategy report is just out and makes for interesting reading. 80% of strategists think the discipline is at a crossroads. Agency jobs in decline, and yet client demand for strategy skills needed more than ever in a volatile world.
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The Future of Strategy in the Age of AI
A couple of weeks ago I ran a session with a large agency strategy team focusing on integrating AI throughout the planning workflow. It reminded me of how much I love working with strategists – naturally curious and open people. Towards the
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Separating fads from trends, and the second and third order effects of AI
‘Don’t be the dog that barks at every passing car’ Richard Wheldon How should we separate major underlying shifts in technology from the fads that come and go? How do we identify which trends will be long-lasting and high-impact, and which are over-hyped
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On AI model collapse and the era of experience
Will AI end up eating itself? What happens when AI models run out of human generated inputs and are trained on content created by AI? Is there a risk that AI models trained on AI slop become ‘inbred’ and get into a
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Winning the race before it starts
I featured a case study in my most recent newsletter which focused on the theme of changing how the game is played – learning from sports, culture and business examples where the protagonist had flipped the script to rethink norms and gain