AI Can Give You 5 Years of Skill in a Minute, but It Can’t Cultivate the Sweeping Monk’s “No Move Beats a Move”
Over the past month, the “AI lobster” OpenClaw has swept through the entire investment world. On Xianyu, someone packaged a free investment skill pack from GitHub and priced it at 50,000 yuan—and people actually bought it. Everywhere, legends spread of “$50 in starting capital turned into $2,980 in 48 hours,” as if not using this AI means you’ve missed the boat to overnight riches and been left behind by the times.
Many people say, even if I don’t let AI trade stocks directly for me, having it help with investment research can’t be wrong, right? In minutes it spits out a complete, data-rich industry analysis, more organized than a rookie researcher could write; with one sentence it screens out qualifying targets and lays out the investment logic clearly. Materials that used to take three to five days to grind through, AI arranges in three minutes.
This is just like a martial arts jianghu where a crash-course manual suddenly appears. You no longer have to start by holding horse stance and practicing long fist, or squat in a cave for ten years to sharpen one sword. In one minute, AI can pour into your brain all the basic moves, general inner techniques, and jianghu rules that prestigious orthodox sects spend three to five years practicing. Go out and spar a couple of moves, and your forms look decent—even more standard than many sect disciples who’ve trained for a year or two.
But that’s exactly where the problem lies.
AI can give you speed-run moves and quickly turn you from a layman into a beginner who can gesture a few times, but it cannot give you the “kung fu beyond kung fu” that true masters forge after decades rolling in the jianghu, taking blades, stepping in pits, and seeing through the tricks behind the rules. Those true Sweeping Monks never carry in their hearts the standard motions of single moves, but the shifting winds of the whole jianghu and the direction of people’s hearts; that cultivation is never something a crash-course manual can give.
I. AI Can Perfect Standard Moves, but It Can’t Create a New Martial Art That Overturns the Jianghu
In the world of programmers and R&D, writing code is like practicing martial arts.
AI is best at playing the basic moves of every major sect to perfection. If you need CRUD interfaces, standard algorithm implementations, idiomatic code for mainstream frameworks, even fixes for common bugs or generic test cases, it can produce them effortlessly—more standard and more efficient than many ordinary developers with three to five years under their belt. It saves you the tedious work of fussing over syntax, checking docs, and applying templates, letting you get in a minute the conventional way of writing that others took hundreds of days and nights to figure out.
But the true masters who found schools and leave their names in the tech jianghu are never formidable because they perform standard moves perfectly; they are formidable because they can break free of the manual and even create an unprecedented new martial art.
In the front-end jianghu of yesteryear, everyone accepted MVVM two-way binding as orthodox, just as everyone in the jianghu believed swordplay must balance offense and defense, with back-and-forth exchange—an irrefutable true path. All mainstream frameworks followed this road; the manual spelled it out clearly, and everyone practiced accordingly. But React did the opposite, bringing out virtual DOM and one-way data flow—this “heretical path”: I don’t want the balanced offense-defense routine; I’ll take one thing to the extreme, and hide all changes within that single logic.
At the time, everyone in the jianghu cursed it as counterintuitive and redundant, but this swordplay that refused to play by the manual directly restructured the entire front-end jianghu. AI can work the most orthodox two-way binding of the time to dazzling effect, but it absolutely cannot create a new martial art like React. Because this thing isn’t in any existing training data at all; it comes from a penetrating understanding of the essence of front-end development, a subversion that breaks out of every established consensus—and that is precisely AI’s blind spot.
Another example: when Jeff Dean’s team introduced MapReduce and BigTable, the industry consensus was that massive data processing had to rely on high-end mainframes—just as winning a hard battle required the ancestral dark iron heavy sword, and without enough internal strength you simply couldn’t wield it. But they created an entirely new distributed inner technique, using a bunch of cheap ordinary PC clusters—like a group of mediocre jianghu disciples who, through an ingenious coordination logic, unleashed power greater than the dark iron heavy sword.
This innovation never came from combining existing moves, but from a complete reconstruction of the underlying logic of technology. AI can’t even find the door to this martial art, let alone create it.
Not to mention the decisions hidden beyond code. The industry believes that the finer the microservice split, the more thorough the decoupling, the more advanced the architecture—just as the manual says, the more scattered the moves, the harder it is to expose a weakness. But a true old hand in the jianghu will, based on their sect’s size and business stage, do the opposite—during early rapid iteration, they deliberately use a monolith, not splitting into so many flashy moves, and instead move faster, steadier, with far less unnecessary trouble from distribution.
This decision is never the “best practice” written in the manual, but a truth an architect realized after leading teams for over a decade, stepping in countless pits, and taking countless beatings from production incidents. AI will only give you the industry’s most standard splitting plan; it will never tell you that sometimes not playing by the manual is the key to winning.
II. AI Can Give You the Universal Rules of the Whole Jianghu, but It Can’t See Through the Real Jianghu Beyond the Rules
Building internet products is like opening an escort agency and carving out territory in the jianghu.
In one minute, AI can give you a Complete Manual for Running an Escort Agency in the Jianghu, filled with standard playbooks used across the industry: the four-piece set every e-commerce app should have—homepage recommendations, categories, shopping cart, and personal center; the sign-ins, spend-and-save discounts, group buys, and viral referral acquisition that user growth should do; and the follow, interaction, and recommendation-feed logic every social product should have. These are all conventional routines proven across the jianghu, the basic skills essential to opening an escort agency—things you can figure out in three to five years of practice, and AI can hand you all of them in a minute.
But what truly takes you from an unknown little escort agency to a major sect that can stand toe-to-toe with the martial arts alliance leader is never how slick you are at these standard rules, but seeing through to the real jianghu beyond them.
Back in the e-commerce jianghu, the two giants Taobao and JD had already divided the territory clearly, and the whole jianghu accepted that consumption upgrading was the true path: build high-end brands, capture the wealthy households in tier-one and tier-two cities, emphasize style and quality—this was the iron law of running an escort agency. Everyone followed this rule, believing only this road had profit. But Pinduoduo refused to take this broad avenue; it set its sights on the counties and towns no one in the jianghu cared about, on the ordinary people ignored by mainstream escort agencies. It didn’t do high-end style; it did extreme cost-performance. It didn’t take the traditional traffic route; it relied on WeChat, that little jianghu byway, for social virality. At the time, everyone in the jianghu laughed at it, saying the lower-tier market had no future and social virality was a heretical path, but this road no one took let it carve out a third-place position in the jianghu and become a major sect no one dared underestimate.
AI can give you the most standard “inner technique for running a high-end escort agency” in the jianghu of that time, but it cannot give you this vision that sees through the lower layers of the jianghu. Because these things aren’t in any public operations manual at all; they are real needs grasped only by traveling north and south and dealing with countless ordinary people, a re-understanding of the jianghu ecosystem—and this felt sense, AI cannot obtain.
Look at Douyin back then: when it entered, Kuaishou was already the boss of the short-video jianghu. The whole industry accepted that short video had to be about social relationships: let users follow creators, use a two-column feed to give users choice—like opening a market and letting users pick the stall they want to see. This was the true path to retaining people. But Douyin did the opposite, going with a single-column, full-screen extreme recommendation feed—I won’t let you choose; I’ll deliver the content that suits you best right to your eyes; the algorithm decides for you. At the time everyone questioned it: if you don’t give users choice, you can’t retain them at all; this is a crooked path. But this anti-routine play let Douyin arrive late and still take the lead, becoming the new overlord of the short-video jianghu.
AI can give you the most mainstream “market operations playbook” of the time, but it can’t give you this deep insight into user attention and human nature. Because this doesn’t come from ready-made routines; it’s an essential understanding of “what people actually want to watch,” a decision an old jianghu hand dares make only after fully grasping the audience’s mind.
Not to mention the birth of WeChat. Back in the mobile IM jianghu, Mi Talk and Fetion were madly piling on features—people nearby, groups, games, news, emoji packs—as if desperate to stuff everything in, like sects frantically adding moves to their martial arts, believing the more moves, the stronger the art and the more users would like it. But Zhang Xiaolong did the opposite. He said the highest level of martial arts is less, is stability, is sparing users from having to think hard. Early WeChat didn’t even have read receipts, no flashy play, just an extremely simple chat function—like a sword technique with only three moves, yet every move hit users’ most core needs. At the time many thought that with so few features, it surely couldn’t beat others, but this minimalist swordplay became a national app that over a billion people can’t live without.
AI can give you the most complete “IM feature list” in the jianghu of that time, but it can’t give you this martial arts attainment of “less is more.” Because this doesn’t come from piling up moves; it’s a penetrating understanding of human nature, a realm honed over decades—something a crash-course manual simply cannot replicate.
III. AI Can Give You Ready-Made Inner Techniques for Opening a School, but It Can’t Break Century-Old Industry Rules
Building a brand and setting business strategy is like establishing a school in a jianghu full of martial arts halls.
In one minute, AI can give you a Complete Process for Opening a Martial Arts Hall, from how to advertise and recruit disciples to how to run promotions and seize territory—all mature playbooks recognized across the industry. For example, beverages should build channels and make mass-market flavors; baijiu should talk history and target high-end business occasions; coffee should create spaces and emphasize style. These are rules passed down in the industry for over a decade, routine operations you can figure out after three to five years of practice, and AI can lay them all out clearly for you.
But what truly cuts through a red-ocean jianghu is never how well you play these ready-made inner techniques, but daring to break out of century-old rules and create a new road no one has walked.
In the coffee jianghu of yesteryear, Starbucks was the absolute martial arts alliance leader. The whole industry accepted that opening a café meant building a “third space”: open a big store in a core commercial district, emphasize style and experience, and sell not just coffee but environment and identity. This was the iron law of the coffee industry; everyone followed it, believing that without a third space you couldn’t possibly beat Starbucks. But Luckin refused to accept this, saying coffee is just a fast-moving consumer good, not some high-end experience. I don’t want big stores or style; I’ll open small stores and do delivery, be cheap and convenient, so you can get a cup of coffee anytime, anywhere. At the time everyone in the industry thought it was crazy, a death wish, but this anti-routine play let Luckin overtake Starbucks and become the new leader in China’s coffee market.
AI can give you Starbucks’s accepted “high-end café operations manual,” but it can’t give you this strategic vision that disrupts an industry. Because this doesn’t come from ready-made rules; it’s a redefinition of the real demand for Chinese people drinking coffee, and the courage to break all rules after seeing through the industry’s essence—this is something AI cannot learn.
Then look at the rise of Jiangxiaobai. In the baijiu jianghu, all are century-old time-honored brands. The rule passed down for decades: baijiu must talk history, pits, and brewing craft; the core customer is middle-aged men; and the focus is high-end business occasions. Every brand competed on this road, comparing whose history was longer, whose pits were older, whose story had more depth. But Jiangxiaobai refused this road. It said, I want to make baijiu for young people. It doesn’t talk century-old history, only young people’s emotions; it doesn’t make high-end large bottles, only portable small bottles; it doesn’t touch business banquets, only casual scenes of friends gathering. At the time, veterans of the baijiu industry laughed at it, saying young people don’t drink baijiu at all; this road won’t work. But this direction no one favored let Jiangxiaobai carve out a brand-new track in the red-ocean baijiu market and become a baijiu brand young people all know.
AI can give you the most standard “inner technique for building a time-honored brand” in the baijiu industry, but it can’t give you this positioning that jumps out of the established track. Because this doesn’t come from the industry’s conventional wisdom; it’s seeing a group everyone ignored and breaking the industry’s decades-old prejudice—this decisiveness is never something AI can produce.
And Genki Forest: back in the beverage market, Coca-Cola and Pepsi had monopolized it for so many years, and the whole industry accepted that drinks had to be sweet, had to rely on the traditional distributor system to build channels, and that sugar-free drinks were a niche market no one bought. But Genki Forest focused on “0 sugar, 0 fat, 0 calories,” seized young people’s health anxiety, and used internet playbooks to make beverages—first attacking online and tier-one/tier-two cities, then penetrating lower-tier markets. It was this unconventional play that let it grow into a new beverage giant right under the giants’ noses.
AI can give you the beverage industry’s most mature “mass-product operations routine,” but it can’t give you this keen insight into shifts in user demand. Because this insight doesn’t come from past sales data; it’s an understanding of young people’s current lifestyles and a forecast of future consumption trends—a vision honed only after decades of scraping and struggling in the industry, and AI cannot give it.
IV. AI Can Give You the Most Popular Move Routines, but It Can’t Create the Realm Where No Move Beats a Move
Doing design, creating ideas, and writing content is like inventing moves and founding a school in martial arts.
In one minute, AI can give you every style currently popular in the jianghu—minimalism, guochao, acid design, wabi-sabi—plus the internet’s hottest viral copy templates and short-video script routines: three-second hook, mid-video twist, ending interaction. These are all repeatedly validated, mature moves, and AI can combine them to perfection, working them more smoothly than many designers and creators with three to five years of experience.
But what can truly rewrite design history, spread beyond its niche, and build an enduring IP is never how well you play popular moves, but being able to jump out of every routine, create something unprecedented, and even redefine an entire industry’s aesthetics and rules.
In the mobile phone jianghu of yesteryear, Nokia was the absolute overlord. The whole industry accepted that phones had to have physical keyboards; the more keys, the more convenient the operation. This was natural and right, just as martial arts must have moves, each move corresponding to a key—common sense acknowledged by all sects. But Steve Jobs refused to accept this. He brought out the iPhone, kept only one Home button, and used a touchscreen to handle all operations. At the time everyone in the industry thought he was crazy; without a keyboard, you simply couldn’t type—this was fantasy. But this counterintuitive design directly eliminated feature phones and opened a whole new era of smartphones.
AI can give you the most standard “keyboard phone design plan” of the time, but it absolutely cannot create this kind of industry-disrupting design. Because this doesn’t come from existing design standards; it’s an ultimate insight into the essence of user needs, an innovation that leaps out of every fixed framework—and this is entirely outside AI’s cognition.
Then look at Dyson’s bladeless fan. For centuries, everyone accepted that a fan must have blades to blow air, just as a knife must have a blade to cut—common sense etched into everyone’s cognition. But Dyson broke this common sense. Using air multiplier technology, it made a fan without blades—safer, more beautiful, easier to clean. This innovation didn’t come from optimizing existing fan designs; it came from more than a decade of deep research into aerodynamics, a subversion that broke out of the fixed belief that “a fan must have blades.” In AI’s cognition, a fan should have blades, just as swordplay should have a blade. It can’t even imagine such a thing, let alone create it.
Not to mention the breakout miracles in content creation. AI can give you the internet’s hottest viral templates and write copy and scripts that fit every viral logic, but works that truly catch fire across the internet and pioneer entirely new content forms never play by the routine. Before 《万万没想到》 went viral, the consensus in the web drama industry was: big production, big stars, a complete plotline, as refined as film—this was the true path. But Wanhe Tianyi came up with an anti-routine play: low cost, absurdist, fast-paced, a few minutes per episode, full of jokes that refuse common sense, not a single move following the manual. It was this wild, crazy “unorthodox path” that caught fire across the internet and opened a whole new era of online short dramas. AI can give you the most standard “web drama production specs” of the time, but it absolutely cannot write this kind of anti-routine content. Because all its cognition comes from already existing “manuals,” while this kind of true creativity precisely breaks all manuals—it is the realm where no move beats a move.
Final Thoughts
These days we all seem trapped in a kind of “AI anxiety.” Afraid that if we don’t use AI, we’ll fall behind others; afraid that if we don’t know how to use those skill packs, we’ll be left behind by the times. Like everyone in the jianghu scrambling for crash-course manuals, terrified that one step late means they can’t beat others.
But we need to understand: AI’s real value is saving us the hard labor of holding horse stance, memorizing manuals, and practicing basic moves. It lets you get in a minute the conventional routines others need three to five years to figure out, so you no longer waste huge amounts of time and energy on beginner matters, can reach the threshold faster, and put your energy into more important things.
But it can never replace what true masters grind out after decades rolling in the jianghu.
It can give you standard moves, but it can’t give you the on-the-spot adaptability you realize only after taking countless beatings; it can give you ready-made jianghu rules, but it can’t give you the real felt sense of the jianghu you grasp only after traveling north and south; it can give you complete manuals and inner techniques, but it can’t give you the insight and courage to see through the essence of martial arts and create an entirely new martial art.
Those who truly gain a foothold in the jianghu and even leave their names in history are never the ones who can recite standard moves flawlessly. They are the ones who see through the essence behind the moves, grasp the ways of the jianghu and human relations, and dare to walk their own path even when everyone else takes the same road.
AI can help you quickly become a qualified jianghu person, but it can’t become a grandmaster of a generation, much less the Sweeping Monk who sees through all jianghu rules yet still holds mountains and valleys in his heart and handles heavy things lightly. After all, true kung fu is never in the moves.