Articles
- The Big AI Checks Are Going Narrow, Not Wide
Investment trends in AI are shifting towards startups that focus on specific industries, emphasizing depth and domain expertise over broad, general-purpose models, leading to faster revenue generation and competitive advantages.
- The floor under your product just moved. You didn't build it.
The shifting landscape of AI models, driven by regulatory changes and competitive pressures, necessitates a strategic focus on adaptable design layers and risk management to maintain product viability and customer trust.
- Your PM Just Shipped a Mac App. Now What?
The rise of non-engineers building apps and automating tasks demands a shift in focus from creation to rigorous review, ensuring quality control and accountability in rapidly increasing outputs.
- Consent just became a product feature
Platforms are shifting from relying on polite requests to enforce consent as a product feature, impacting how companies manage content protection, user verification, and regulatory compliance.
- The AI headcount story just split in two, and your board will ask which one you believe
AI's impact on job markets is diverging, with some firms increasing headcount by integrating AI, highlighting the need for leaders to adapt hiring strategies to prioritize AI fluency and long-term workforce development.
- Restraint Is Becoming a Feature People Pay For
The growing demand for minimalist devices highlights the value of restraint in product design, urging leaders to prioritize simplicity and transparency to build trust and meet evolving customer expectations.
- The handoff just flipped, and your process didn't
Recent advancements in design and coding tools like Figma Make and Google Stitch necessitate a reevaluation of workflows, as teams can now iterate faster and push code directly, impacting design systems and collaboration dynamics.
- Your Next Customer Might Not Have Eyes
As AI agents increasingly handle transactions without human interaction, businesses must ensure their pricing and value propositions are machine-readable and compelling without relying on traditional user interfaces.
- AI got fast. The learning didn't come with it.
AI's rapid output in design and research risks creating an illusion of learning, prompting leaders to prioritize human judgment and critical thinking over speed and efficiency.
- Google Rewrote Its PM Bar. Your Interview Loop Probably Hasn't.
Google's revised PM interview process and insights from 403 illustrators highlight the need for companies to prioritize judgment and fair compensation, impacting hiring practices and budget planning for creative work.
- Your Discovery Channels Are Moving. Here's Where They Went.
Recent shifts in app distribution, search interfaces, and social media algorithms require product and design leaders to reassess their strategies for visibility, user engagement, and platform reliance to maintain competitive advantage.
- The assistant surface you build on just moved under you
Recent changes by tech giants like Google, Apple, and Meta highlight the shift towards integrated AI assistants that perform tasks directly, prompting product leaders to reconsider integration strategies and user data management.
- Your Design System Should Not Live in Figma. Or in Code.
Design systems are evolving to use a central JSON or YAML file as the source of truth, enabling both Figma and code to build from it, reducing drift and improving AI integration.
- Your Team Is Building With AI. Nobody Wrote Down How.
Documenting AI development habits and context within your team can enhance efficiency, reduce errors, and streamline onboarding, ultimately leading to faster and more reliable product delivery.
- Users Judge Your Product by the Small Stuff You Skip
The small, often overlooked design decisions, such as loading patterns and default settings, significantly impact user trust and satisfaction, highlighting the need for intentional design choices in product development.
- Meta's Recording Light Is a Lesson in Trust Signals Done Wrong
Meta's flawed privacy design in its smart glasses highlights the importance of robust trust signals, urging product leaders to ensure privacy features are integral, not reactive afterthoughts.
- Stadiums Are Done Showing Off. Your Product Should Be Too.
The shift from flashy stadium designs to more authentic, user-centered environments highlights the importance of creating products that prioritize ongoing user engagement and utility over initial visual impact.
- Your Model Choice Just Became a Budget Decision
Model selection has shifted from prioritizing intelligence to balancing cost and performance, as open models increasingly handle high-volume tasks, prompting leaders to manage AI token budgets like any other resource.
- Your PM Team Stopped Prompting. Now They're Building Loops.
AI-driven loops and harnesses are replacing traditional prompts, enabling more efficient workflows and cost savings, but require careful management to avoid unnecessary expenses and ensure reliable, repeatable outcomes.
- Generation Got Faster. Thinking Didn't.
AI has accelerated design generation but not the critical thinking process, requiring leaders to clearly distinguish between the two to maintain quality and manage stakeholder expectations effectively.
