Companies frame necessary layoffs, resulting from overhiring, as a forward-thinking move toward AI-driven efficiency. This narrative helps them manage public perception and appeal to investors, masking simpler business corrections.
Instead of focusing on a trend's obvious impact (e.g., Novo Nordisk's success), compelling narratives explore upstream causes (supply chain players) and downstream effects (a spike in plastic surgery). This 'zoomed out' perspective uncovers more interesting angles.
Becoming a great storyteller requires deep practice and focus. Instead of diluting efforts, identify one communication medium where you can excel—be it writing, video, or presentations—and dedicate yourself to reaching the top percentile of creators on that platform through disciplined, consistent output.
While the cost per AI query drops, companies find more complex, compute-intensive uses for it. This elasticity of demand means total AI spending becomes a significant and variable operational expense, similar to a utility bill, rather than a predictable software cost.
Effective data storytelling isn't just presenting numbers; it's about curating surprising facts that create a 'wow' factor. Additionally, providing relatable context, like comparing a data center's water use to a golf course, makes abstract data meaningful and prevents fear-mongering.