Better AI starts with better judgement Bottom line: if you or your team’s AI output is mediocre, it’s most likely that the model isn’t the problem, it’s that your people may not know when to use it, what to expect from it, or which mode to use when they do. That’s not a shot at you nor your team. It’s one of the single most useful thing said about AI productivity in months,…
Two AI studies dropped in the same week. Read together, they tell you exactly where to deploy AI hard, and where to stop. Bottom line Half of heavy Claude users say AI already handles 50% of their work, and we’ve all seen it first-hand. From the LinkedIn posts to the email messages, to the overall engagement, despite the evolution of AI we’ve seen, it’s often easy to detect the difference between…
Bottom line: The most successful AI transformations treat people as the irreplaceable core of value creation, not line items to shrink. Beginning an AI Transformation journey with a headcount-reduction mindset inevitably delivers short-term optics at the expense of long-term capability, culture, and competitive edge. The winning play is human augmentation: give your people superpowers so…