The Browser Company believes the biggest AI opportunity isn't just automating tasks but leveraging the "emotional intelligence" of models. Users are already using AI for advice and subjective reasoning. Future value will come from products that help with qualitative, nuanced decisions, moving up Maslow's hierarchy of needs.

Contrary to expectations, job candidates found it easier to talk to an AI interviewer. The lower pressure of a non-human interaction allowed them to relax, be more open, and talk more freely about their experiences, leading to better outcomes.

Beyond economic disruption, AI's most immediate danger is social. By providing synthetic relationships and on-demand companionship, AI companies have an economic incentive to evolve an “asocial species of young male.” This could lead to a generation sequestered from society, unwilling to engage in the effort of real-world relationships.

The next frontier for AI in product is automating time-consuming but cognitively simple tasks. An AI agent can connect CRM data, customer feedback, and product specs to instantly generate a qualified list of beta testers, compressing a multi-week process into days.

While dating apps are criticized for promoting quick, superficial judgments, they merely amplify and provide a platform for pre-existing human behavior. People make snap judgments in bars just as they do online; the apps simply increase the volume and efficiency of these interactions, for better or worse.

Bumble is shifting its focus from "finding your person" to "finding your people." The new "friends first" strategy aims to build community and facilitate group interactions, believing that friendship is the foundation of love. This reduces the pressure of one-on-one dates and creates more natural pathways to romantic connections.

Expensive user research often sits unused in documents. By ingesting this static data, you can create interactive AI chatbot personas. This allows product and marketing teams to "talk to" their customers in real-time to test ad copy, features, and messaging, making research continuously actionable.

As models mature, their core differentiator will become their underlying personality and values, shaped by their creators' objective functions. One model might optimize for user productivity by being concise, while another optimizes for engagement by being verbose.

A new app that ranks restaurants based on the attractiveness of their diners, not just their food, represents a new frontier for consumer AI. This moves AI's application from purely functional tasks (finding the best meal) to subjective social and status-driven curation (finding the 'hottest' scene), opening a new category of AI-powered lifestyle apps.