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AMPLITUDE AI, YOUR UNFAIR ADVANTAGE
You're probably being asked to “use AI” more, but finding real impact is still harder than it sounds.
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You're probably being asked to “use AI” more, but finding real impact is still harder than it sounds.
Cursor lets PMs execute, not just spec, but it works best with code literacy and patience for integration issues. Real leverage comes when AI workflows extend beyond one PM to the whole team.
AI agents turn conversation into action and push software costs toward zero, making unique insight, fast decision-making, and agent “skills” the real sources of value. Long-term abundance is possible, but the transition, especially around jobs and alignment, will be disruptive and must be handled carefully.
SaaS is not dead, but the old B2B playbook of category lock-in, heavy sales spend, and autopilot expansion is finished. AI-native companies are winning by shipping faster, delivering clear ROI, and earning retention through real innovation instead of switching costs.
AI makes building faster and cheaper, but it cannot replace human accountability, judgment, and community. As output becomes abundant, lasting advantage comes from ownership, differentiation, trust, and shared meaning, all of which remain human.
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Ever wish your team could get on the same page before committing to design? In this Miro session on March 3rd [9], Björn Ehrlinspiel, Product Owner at LUFTHANSA'S MILES & MORE loyalty program, will share how his team went from a two-week ideation process for an unvalidated product design to creating validated concepts in less than a day.
The Codex team is a small, autonomous group that embeds AI into every stage of development, from planning to code review and onboarding. By empowering full ownership and treating AI as a core teammate, they move at startup speed while maintaining high quality and scale.
PMs can design with AI by using structured workflows that turn ideas into prototypes quickly, then iterating with users and stakeholders. The key is choosing the right tools for each step and evaluating outputs for real problem-solving, accessibility, and feasibility, not just pretty screens.
Code has not been the real bottleneck in software productivity for decades. Weak user research and fractured organizational systems are. As AI speeds up coding, teams risk building the wrong things faster unless they prioritize human-centered research and sustained ownership over output.
Gmail won by reshaping both the economics and experience of email, combining cheap infrastructure, contextual ads, and a fast search-first interface to offer abundant free storage. Incumbents, trapped by scarcity mindsets and banner-ad models, could not adapt quickly enough to compete.
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Master AI product management through 4 specialized, human expert-led
People routinely misjudge what is happening inside tech companies because they lack the internal context behind decisions.
True fit reveals itself through organic word-of-mouth growth, not paid acquisition.