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Tenured and tenure-track law professors at ABA-accredited schools are a small, elite, high-income audience of roughly 27,000–30,000 people who are simultaneously being squeezed by AI disruption in the classroom, a publish-or-perish culture that AI is now supercharging, and political attacks on academic freedom. Almost no purpose-built products exist for them, yet each one earns well into six figures and controls real discretionary research and pedagogy budgets.
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AI-proofing your content
Mid-career content creators with existing audiences and revenue streams are investing heavily in defensible content strategies — unique POV, owned email lists, proprietary data, and paid communities — to stay monetizable as AI floods every platform with generic content. Their urgency is real: Google AI Mode now intercepts 68% of US searches without a click, and 59% of TikTok's For You Page is already classified as AI slop. This audience is not learning to create — they are protecting what they have already built.
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AI without a developer
Non-technical small business owners running 1–20 person operations are racing to adopt AI tools that cut admin, automate marketing, and handle customer follow-up without requiring any technical skill. The core pain is time: owners are losing 10–15 hours a week to tasks AI can handle today, while competitors who have already made the switch are pulling ahead. The gap between awareness and implementation is the defining commercial opportunity of 2026.
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Watch 1:06AI job hunting
Mid-career professionals sending tailored, intentional applications are getting buried under a flood of AI-generated noise. The average job posting now draws 254 applications, most of them robot-written, so even a strong candidate goes unseen. This trend is about tools and strategies that help serious job seekers signal real intent and get treated like humans again.
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