Articles
- Your next design hire is a compliance decision before it's a talent one
UK hiring practices now require design leaders to prioritize compliance with employment status and intellectual property laws, impacting how design roles are structured and managed to avoid legal and financial pitfalls.
- 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.
- Two Companies Got 43 Cents of Every AI Dollar. Plan Your Budget Around That.
AI funding is concentrated among a few major players, impacting vendor stability and pricing strategies, necessitating careful evaluation of tool longevity and regional pricing for global teams.
- 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.
- 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.
- Your Vendors Are Uploading More Than You Think
Recent AI security breaches highlight the need for product and design leaders to scrutinize vendor data practices, ensuring transparency and preparing for potential legal and security vulnerabilities.
- The Swipe Is on Trial, and AI Is the New Pitch
The dating app industry is pivoting from swipe-based models to AI-driven curation, emphasizing fewer, more meaningful matches to address user burnout and enhance trust and authenticity.
- 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.
- The Signup Funnel Is Leaking in the Code You Never Read
Addressing overlooked UX issues in code, such as uncommunicative error messages and hidden UI elements, can significantly improve user retention and conversion rates by enhancing the overall user experience.
- The Money Moved to Whoever Can Make AI Actually Work
The focus in AI investment has shifted from developing the smartest models to effectively integrating these models into business operations, emphasizing the importance of owning the control layer for strategic advantage.
- Your agents can talk. They still can't listen, prove who they are, or know when to stop.
AI agents are now focusing on improving trust and accountability by enhancing listening capabilities, establishing clear identity verification, and defining operational limits to better meet user needs and expectations.
- The 21% Who Feel Paid, and What They Have in Common
Illustration pricing practices reveal that project fees and clear licensing terms are crucial for fair compensation, while AI's impact underscores the need for valuing unique creative skills over speed or cost-cutting.
- 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.
