The real bottleneck in enterprise AI is no longer access to tools - it is deciding how reclaimed time is managed, measured, and turned into work that matters.
A central-bank warning cuts through the hype: artificial intelligence may lift productivity and growth, but only if Italy closes its gaps in skills, capital, data quality, and enterprise adoption.
Generative tools can speed up writing and composition, but the hidden question is whether frequent delegation weakens the mental muscles behind memory, attention, and original thinking.
The pressure to “do AI now” often sounds strategic, but the harder problem is deciding what machines may do, what they may only suggest, and how to prove the work actually improved.
Anthropic’s Claude AI now lives inside PowerPoint, promising effortless slide creation but introducing new risks for unwary users.