Written for people.
Readable by AI.
Long-form essays by Zhao Bo on AI, business, consumption, and organizations. Every essay is published in Chinese and English with structured, machine-readable metadata.
Latest essays
27 public essays
From Entropy to Consciousness: An Inevitable Causal Chain
Starting from entropy increase, dissipative structures, self-organization, life, and prediction, this piece asks how consciousness emerges — and whether AI could enter the same causal chain.
Consumers Aren't Just 'Treating Themselves' — They're Reclaiming the Right to Define Who They Are
Today's shift in consumption is not merely about self-indulgence: consumers are using choices, experiences, and narratives to take back the right to define their own identity.
How to Build New Reasons to Buy in the Age of Consumption Saturation
Once functional needs are saturated, how brands can create new reasons to buy from pain, fear, delight, itch, and the hidden frustrations consumers live with daily without noticing.
Most Salespeople Don't Understand Retail
In an era of shrinking demand, sales can no longer just chase distribution coverage — it must shift from shelf-space thinking to understanding store scenarios, assortment logic, and real sell-through.
Organizational Surgery in a Shrinking Market
Once the market moves from growth to saturation to contraction, companies need to rebuild their channel operating units and capability platforms rather than keep shuffling boxes on the org chart.
When Consumers Have the Final Say, What Should Brands Actually Do?
When consumers hold the power to interpret, to choose, and to walk away, brands must turn their new narrative into products, channels, incentives, and organizational action.
It's Not That Products Stopped Selling — Consumers No Longer Accept Being Defined
The consumption slump is not merely a purchasing-power problem. It is a collective reappraisal of old brand narratives by consumers who have reclaimed the right to interpret, the right to choose, and the right to walk away.
Why Are Middle-Aged Dads Quitting Baijiu — and Catching the Blond-Hair Bug?
From middle-aged men dyeing their hair blond to young women redefining Jingjiu, consumption is shifting from performing a social role to expressing personal sovereignty.
From "You Don't Get It" to "You Call the Shots"
The new consumption narrative isn't about writing another brand story — it's about rebuilding the relationship between brands and consumers: from educating and defining, to listening, accompanying, and lifting up.
How to Turn Narrative into Action
After diagnosing why the old narrative has failed, brands need to turn positioning, emotion, scene, and community into actions that can be executed, verified, and iterated.
Why Are Young People Increasingly Turned Off by Authority?
When consumers have the power to refuse and walk away, the old narratives built on authority endorsements, social-obligation pressure, and a lecturing tone are losing their grip.
A 90-Day Roadmap for Distributors to Put AI to Work
Distributors don't need to wait for perfect conditions to adopt AI, nor can they roll out every use case at once. This is a 90-day path from a single task to a role, a process, and scaled replication.
AI Is Not New Software — It Is How the Boss Reallocates Work
Many companies treat AI as just another piece of software without changing how work is allocated. The real transformation is deciding which tasks AI does first, and which judgments must remain with people.
Without These Business Tables, AI Can Only Talk in Platitudes
For AI to understand a real business, it must see verifiable sales, inventory, customer, and account data. Without a data foundation, its answers never rise above common sense.
AI Can Suggest, but Money, Goods, and Commitments Must Be Signed Off by a Human
AI can generate recommendations, but decisions involving funds, goods, credit, and external commitments must be confirmed by an accountable person, with a record kept.
How to Design a Job for AI: Building Your First AI Clerk
A reliable AI role needs fixed inputs, a defined process, a delivery format, boundaries of authority, and human sign-off — not just a job title handed to an AI.
I Can't Code — So How Did I Direct AI to Build ABI?
Not knowing how to code doesn't mean you can't lead an AI project. What matters is defining business objectives, dividing roles, setting acceptance criteria, and recognizing the gap between generating code and having a usable system.
Stop Memorizing Prompts: The Complete Five-Step Method for Delegating Work to AI
A prompt is not a magic spell. Only by spelling out the goal, the materials, the rules, the deliverable, and the acceptance criteria can you actually hand real work to AI.
How Brands Can Truly Help Distributors Adopt AI
Helping distributors adopt AI can't just mean issuing accounts and running training sessions — brands need to start from real operational problems, validate results with small pilots, and then scale.
Selling More Doesn't Mean Earning More: How to Calculate True Gross Margin
Sales revenue and book gross margin cannot tell you whether a deal is worth doing. Only by factoring in direct operating costs can you see the real operating contribution a product actually leaves behind.
Your Employees Know How to Use AI—So Why Hasn't the Business Changed?
Employees learning a few AI tools doesn't mean the company's business results will change. AI only affects the business when individual productivity gains flow into processes and become organizational capability.
Enterprise Harness Governance and the AI Workbench: A Strategic Perspective
From AI coding tools to an enterprise AI organizational operating system: how Harness brings tasks, permissions, data, verification, and accountability together into a unified workbench.
It Is Not Individuals Who Need AI, but Organizations
Individual productivity gains do not equal company-level results; what enterprises truly need is to consolidate processes, standards, data, and judgment into organization-level AI capability.
What Kinds of Businesses Are There?
Re-understanding the underlying structure of different businesses through four dimensions: product evolution, customer accumulation, core assets, and revenue compounding.
The Nine-Layer Architecture and Implementation Steps for Enterprise AI Adoption
Enterprise AI adoption is not about buying a single tool, but a systematic rebuilding of capabilities spanning strategy, organization, data, knowledge, Agents, governance, and iteration.
Why I'm Urging You to Let AI Distill You, Right Now
For the first time, AI gives middle-aged professionals the chance to assetize their experience: turning judgment that exists only inside one person's body into a Skill that an organization can call, replicate, and compound.
White Paper on the Organizational Revolution of the AI Era V1.0
From hierarchical organizations to protocol-based organizations: reconstructing the future of productivity, organizations, and people through collaboration cost, Agents, the Skill economy, and the theory of value through finitude.