How can product leaders cut through AI hype to build products that actually deliver value? In this podcast hosted by Boston New Technology CPO Shweta Agrawal, Former Amazon, PayPal & Target Product Leader West Stringfellow will be speaking on the biggest mistakes in AI product building. Drawing from decades of experience scaling global platforms, he shares how to balance innovation with discipline, avoid overestimating AI capabilities, and focus on what truly drives customer impact and business growth.
Subscribe to the Product Talk podcast on Spotify and Apple Podcasts and catch every conversation with leading product executives. Episodes drop on Wednesdays.
Show Notes
- AI is still just technology, not magic—understanding its limits matters more than its strengths.
- Most product failures in AI come from overestimating what the technology can actually do.
- LLMs are non-deterministic, which makes them unreliable as a single source of truth.
- Treat AI outputs as suggestions, not decisions—especially in high-stakes domains.
- The biggest risk today is confusing AI-generated answers with verified knowledge.
- Product leaders should filter AI hype by asking: is this technically feasible today?
- There is more capital in AI than any prior technology wave, which amplifies hype and noise.
- Learning AI requires going beyond LLMs into broader machine learning concepts.
- Strong product leaders focus on first principles, not trends.
- Customer understanding is getting easier with AI—but still requires human judgment.
- AI can dramatically accelerate research, preparation, and communication.
- Product managers should use AI to refine messaging, not replace thinking.
- The role of product is expanding—not shrinking—in the AI era.
- The best product leaders think like CEOs by focusing on revenue and cost, not just features.
- Many teams misuse AI to build more features instead of building the right ones.
- Customer capacity for “newness” is limited—incremental improvements often win.
- Great products grow through small, consistent optimizations, not constant reinvention.
- Cutting costs through product improvements can be more impactful than driving new revenue.
- Strong product teams treat internal stakeholders as customers too.
- The future belongs to product leaders who combine deep customer insight, data discipline, and practical AI application.
About the speaker
About the host
Shweta Agrawal, is one of the Top 40 Under 40. Shweta is the Chief Product Officer (CPO) at Boston New Technology (BNT), where she has helped shape one of Boston’s most vibrant platforms for founders, technologists, and investors. Shweta has worked at Fortune 500 companies where she launched multi-million-dollar products and she has also defined and scaled product strategies in small to mid startup companies. She serves as a Product Expert, Startup Advisor, and Ecosystem Builder. She is dedicated to empowering underrepresented founders, women in STEM, and the next generation of innovators