The "Dead Internet" theory posits that AI will fill social networks with lifeless content. A more accurate model is the "Zombie Internet," where AI-generated content is not just passive slop but actively responds and interacts with users, creating a simultaneously dead and alive experience.

The "generative" label on AI is misleading. Its true power for daily knowledge work lies not in creating artifacts, but in its superhuman ability to read, comprehend, and synthesize vast amounts of information—a far more frequent and fundamental task than writing.

New research shows ~30% of American teens use AI chatbots daily, compared to only 10% of working adults. This creates an impending skills gap, with an AI-native generation poised to enter a workforce where the majority of incumbents have dramatically less experience with the technology.

While businesses are rapidly adopting AI for content creation and communication, Gen Z consumers have a strong aversion to anything that feels artificial or inauthentic. If this demographic can detect AI-generated content in sales or marketing, they are likely to ignore it, posing a significant challenge for brands targeting them.

Observing that younger generations prefer consuming information via video (TikTok) and communicating via voice, Superhuman's CTO predicts a fundamental shift in user experience. Future interfaces, including email, will likely become more conversational and audio-based rather than relying on typing and reading.

Contrary to the focus on professional use cases, OpenAI's largest study shows that 46% of messages from adult consumer users are from the 18-25 age group. This indicates the emergence of an "AI native" generation whose approach to work and education will be fundamentally different.

Many in Gen Z are pessimistic about AI, citing environmental impact and job uncertainty as primary concerns. Despite this negative outlook, a large majority still use AI tools daily for tasks ranging from schoolwork to companionship.

Contrary to popular belief, most learning isn't constant, active participation. It's the passive consumption of well-structured content (like a lecture or a book), punctuated by moments of active reinforcement. LLMs often demand constant active input from the user, which is an unnatural way to learn.

Investors may be under-bullish on voice because they judge it by current adoption. However, observing the communication habits of the under-25 demographic—who heavily favor voice notes—provides a clear signal that the next generation of workers will expect and demand voice-native tools.