AI startups require new strategies: This time it's actually different

This shift has profound implications for how organizations should approach AI integration. First, the focus needs to move from task automation to capability augmentation. Instead of asking "what tasks can we automate?" leaders should ask "what new capabilities can we unlock?" And they will need to build the capacity in their own organizations to he... See more

In AI, data isn't just fuel—it's the entire engine. The most promising startups are transforming data in interesting and useful ways that were previously either hard or impossible to do. Plus, ingesting more data entails higher switching costs for customers: The more data and insights a tool has into your workflow, the more time consuming it will b... See more