19 hours ago
- AI increases speed of work but not necessarily outcomes, creating the 'AI Productivity Paradox'.
- Most people use AI to accelerate old project-model methods focused on output rather than outcomes.
- Strong product teams leverage AI differently for discovery (learning) vs. delivery (earning), leading to better outcomes.
- The real issue is not speed but that many ideas are not worth building; faster execution doesn't fix flawed ideas.
- Companies embracing 'build to learn' and 'build to earn' approaches are best positioned to benefit from AI.