Education in the AI Era

We’re a fortunate generation: within just a few decades, we’ve lived through the agricultural era, the industrial era, the information era—and now, very likely, the AI era.

Each era brings unprecedented leaps in efficiency—and the AI era is no exception.

Yet this world will grow more fragmented, because agriculture, industry, information, and AI won’t replace one another overnight. Instead, all four will coexist for a long time.

So what’s the most essential mindset in the AI era? Two stand out: creative thinking and AI thinking.

Creative thinking is the ability to solve “0-to-1” problems—the kind of original, breakthrough reasoning where humans still hold a decisive edge.

AI thinking means learning to coexist with AI—to harness it, to delegate “1-to-100” scaling to it once the foundational idea (the 0-to-1) is in place.

Old virtues—grinding through memorization, competing on diligence, brute-force calculation, or repetitive labor—lose their value in the AI era.

That’s why today’s education system clearly misaligns with AI-era demands.

To truly wield AI as a super-powered assistant, we must cultivate both creative and AI thinking—and doing so doesn’t undermine traditional educational goals; it elevates them.

How Communities Cultivate Trust (“Planting Grass”)

I recently joined a WeChat group run by the founder of a programming education startup—a Tsinghua graduate.

His school focuses on in-person training for kids preparing for competitive programming contests, commanding premium pricing. It also offers supplementary online courses.

Like many small institutions, student acquisition is tough—so the founder personally runs outreach: posting ads on his Moments feed, inviting friends to join the group. Within days, the group grew past 200 members.

The group isn’t huge—but because every member came from his personal network, quality is high.

He shares daily in the group: insights, reflections, practical tips. Engagement is modest, but consistency and authenticity never waver. Gradually, members began inviting peers on their own.

A few observations:

The overall tone feels warm and natural—even when he eventually introduces his offerings, it doesn’t feel like an ad.
His posts are all typed by hand, not copy-pasted. That level of personal authorship is rare among professional community managers.
Sustained, authentic output builds trust and influence organically. When users need help, they turn to him—not a generic service channel.
High-quality, niche communities remain powerful marketing channels—especially scarce ones built on real expertise and genuine connection.

Participation as Experience Design

Xiaomi’s SU7 Founder Edition deliveries kicked off with a striking ceremony: Lei Jun himself opened and closed car doors for each early adopter, shook hands, posed for photos. Every gesture amplified participation.

This approach delivers at least three clear benefits:

Nearly every Founder Edition owner walked away deeply satisfied—and highly likely to stay a fiercely loyal Xiaomi advocate for years.
Early adopters’ tolerance for minor flaws rises sharply. “A squeaky hinge?” Not a problem.
The moment went viral: delivery clips spread across social feeds, fueling organic buzz and reinforcing Xiaomi’s human-centered brand narrative.

Lei Jun’s deliberate, personalized engagement with key users is a masterclass in turning customers into co-creators—and deserves close study.

Designing Non-Standard Products

Take butterfly specimens: sold as-is, the business hits a low ceiling—likely remaining a tiny, niche operation.

But reframe it as a blind box: suddenly, you’re tapping into the massive blind-box economy. Unit price climbs, and your audience overlaps significantly with existing collectors. How much overlap depends entirely on how thoughtfully you design the “butterfly blind box” concept.

Now each butterfly species becomes part of a broader, evolving IP universe.

That’s still not enough. Layer in astrology: include a handwritten-style “fortune note” from an astrologer—personalized by zodiac sign, signed and scanned—and the perceived value jumps again. Meaning shifts from “collectible insect” to “personal talisman.”

The core logic? Take a fragmented, hyper-specialized category and reimagine it as a single, emotionally resonant product—infused with symbolic weight, cultural hooks, and spiritual resonance. By deliberately differentiating from mainstream corporate players (e.g., avoiding feature wars, focusing instead on ritual, identity, and narrative), you raise your theoretical ceiling several-fold.

Learning in the AI Era

A recent article on AI-era learning resonated deeply. Key takeaways:

Learning will pivot toward personality-driven, creative inquiry—not standardized content delivery.
As Kevin Kelly wrote in The Inevitable: “We imagine the future with wild, boundless creativity—but the truly great things will dwarf even our boldest visions. The future is unbelievable… yet we must believe in the impossible. We’re only at the very beginning of the beginning.”
Socratic dialogue—long idealized but hard to scale—may finally become mainstream. In the age of generative AI, asking the right questions, thinking critically, and sustaining rich dialogue is the new literacy of learning.
Language barriers—especially foreign-language hurdles—are collapsing fast. AI translates seamlessly, on demand.
Start learning with AI, not just about it—as early and as often as possible.
Learning resources and pathways are now richer, more diverse, and more accessible than ever before.
AI unlocks infinite possibilities for self-directed, adaptive learning.
Humanity’s defining trait in the age of intelligent machines may be radical interconnection and transparency—giving rise to open, collective innovation.
Training “AI talent” isn’t just about coding or computational thinking. Routine programming will be automated. What’s needed instead are architects: thinkers who blend imagination, systems intuition, and creative synthesis.
AI-era learning thrives on deep, interest-led immersion—not breadth for its own sake.