How AI is reshaping the product role | Oji and Ezinne Udezue

Sep 7, 2025 1h 18m 17 insights Episode Page ↗
Aji and Ezine Udezwe, product leaders with 50+ years of combined experience and authors of "Building Rocket Ships," discuss the evolving PM role, the impact of AI on product development, essential skills for PMs, and key lessons learned from their careers.
Actionable Insights

1. Focus on Sharp Problems

Prioritize building solutions for ‘sharp problems’ – old, core needs that are still difficult to the point that a 3-10x improvement or cost reduction would be compelling to customers. This avoids ‘drunken startup building’ and increases the likelihood of success.

2. Embrace Controlled Chaos (Shipyard Model)

Adopt a ‘shipyard’ team model, a six-capability team (PM, engineering, design, user research, data/ML/AI, product marketing) that fosters controlled chaos, high skill, and careful communication. This structure allows for orchestrated progress in a rapidly changing, ‘weird’ world, especially with AI.

3. Get Hands-On with AI Tech

Become super hands-on with AI technology by writing code (now architecture and English), converting PRD writing into prototype writing, and calling API interfaces yourself. This helps PMs adapt to faster build processes and avoid becoming a bottleneck.

4. Cultivate Humility and Curiosity

Develop humility and curiosity to admit what you don’t know and be willing to learn, even from those less senior. This ’teachability’ is crucial for survivability in careers and for building important products in an era where blueprints are constantly changing.

5. Develop High Agency and Ownership

Cultivate high agency and ownership, acting as a ’thermostat’ to change the room’s temperature rather than just a ’thermometer’ measuring it. This means seeing opportunities and taking action without waiting for permission, moving from a position of strength rather than fear about AI taking jobs.

6. Master Data Literacy & AI Evals

Gain a high-level understanding of how data is organized and leveraged in the AI world, and develop the skill to write effective ’evals’ (evaluations). This helps verify AI model results, constrain hallucination, and understand how to combine and tweak multiple models for better performance.

7. Build Personal AI Projects

Pick a passion project that touches on things you need to learn, like automating your house or creating a personalized outfit recommender. This provides a motivated, specific problem to solve, helping you learn and get hands-on with AI tools and concepts like quantization and fine-tuning.

8. Communicate the ‘Why’ Relentlessly

Never spend too much time communicating the ‘why’ behind your strategy to activate the entire organization. Understand that different people adopt information at different rates, similar to crossing the chasm, and continuous communication helps ensure everyone understands and aligns with the purpose.

9. Prioritize Simplicity and Opinionated Design

Strive for simplicity and clarity in product design, especially for ‘distracted brains’ in 2025 and beyond. Have the courage to be opinionated and make decisions, creating the most compelling, simplest experience rather than offering too many confusing options, which hinders learning and adoption.

10. Observe Customer Actions, Not Just Words

Go beyond customer interviews and what customers say they want; focus on what they do. Engage in ethnographic research, observing their actions and understanding the ‘why’ behind them, as this provides deeper, more accurate insights than relying solely on AI-processed transcripts of interviews.

11. Rethink Products with AI at the Core

For companies, fundamentally rethink problem spaces and workflows by using AI as a core capability, rather than just ‘slathering’ it onto existing products at the ’edge.’ This often involves shrinking existing codebases and allowing LLMs to become central to solving customer problems, leading to revolutionary changes.

12. Specialize AI Solutions First

Instead of trying to build a massive, broad AI solution that does it all, focus on building very specific, specialized AI solution sets. Then, create a connective tissue or multi-model solution to tie them together, as this approach has proven more successful in practice.

13. Take Chances on Dynamic User Experiences

Experiment with dynamic user experiences that personalize to the customer, moving beyond the chat interface as the ‘final boss’ for AI UX. Recognize that GUIs exist for a reason and static experiences are insufficient for the evolving nature of AI products.

14. Integrate Ethics into Product Development

As PMs, recognize the ‘ordinance level’ power of AI and take responsibility for the ethical implications of what you build. Lead on considering the human race when creating new digital products that give superpowers, avoiding the ‘I don’t care’ attitude seen in some past tech developments.

15. Understand Strategy Fundamentals

Learn the fundamentals of product strategy, including sources of competitive advantage (e.g., intellectual property, economies of scale/scope) and the various growth levers beyond just product. This knowledge empowers PMs to direct their company’s future compellingly and advance their careers.

16. Be Intentional About Your Career

Hold a clear intention and visualize your next career steps, allowing this desire to drive your progress. Being able to see and chase where you want to be is a powerful motivator for managing your own career path.

17. Learn All the Time, Confidently

Continuously learn, understanding that there is more knowledge outside your brain than inside it. Embrace being ‘stupid’ for a second (in the sense of not knowing) while maintaining confidence in what you have accomplished, allowing you to grow without being in a ‘crouch’.