A profoundly underutilized feature of AI is its ability to teach. Instead of just delegating tasks, professionals should ask LLMs to train them in new skills, create practice assignments, and evaluate their performance, unlocking rapid personal development.

People focus on what AI can do *for* them, but a greater opportunity is what AI can teach them. For the first time, everyone has access to a patient, expert tutor. Professionals should spend their spare time asking an AI to train them in new domains, from coding to product management.

The most transformative application of AI could be in education, by making one-on-one tutoring universally accessible. This method, known as Bloom's 2 sigma effect, is proven to be incredibly effective but has been historically impossible to scale due to human limitations. AI can finally deliver this for every student.

The next evolution in AI-driven education isn't just personalizing pace, but reframing entire subjects through a student's unique passions. For example, an AI could teach physics principles using football analogies for a sports-loving child, making abstract concepts more relatable and memorable than a one-size-fits-all curriculum.

A homeschooling parent is using OpenClaw to automate the entire educational workflow, from generating curricula to logging lessons via voice notes. This demonstrates AI's power to create bespoke learning experiences and tools, like a private, 'slop-free' YouTube client for kids.

Historically, one-on-one tutoring—proven to boost student outcomes by two standard deviations (the "Bloom Two Sigma effect")—was reserved for the elite. AI now makes this highly effective, personalized educational model scalable and accessible to all.

A parent used GenAI (GPT and ElevenLabs) to create a custom children's podcast because existing options didn't align with the values he wanted to teach, such as grit and determination. This showcases a powerful AI use case: on-demand, hyper-personalized media for niche audiences, bypassing mass-market content.

An AI education system deployed to millions of students will continuously analyze patterns in their learning. Insights from a student in one country will instantly update the teaching algorithm for another, creating a massively scalable, personalized, and ever-improving educational model.

Investor Gaurav Kapadia uses AI as a knowledge augmenter to go deep on new subjects. Where he once hired university master's students to create custom curricula on topics like art history or Shakespeare, he now uses AI as his 'first port of call' for in-depth, personalized learning.