How can ordinary people improve their competitiveness in the AI ​​era? 6 key capabilities to avoid being eliminated in 2026

How can ordinary people improve their competitiveness in the AI era? 6 key abilities to avoid being eliminated in 2026

When you turn on your phone, all you see is news about what AI can do. Designers say their jobs are being robbed by one-click drawings, copywriters complain that large models can write a week's worth of manuscripts in half an hour, customer service positions have been quietly replaced by conversational robots, and even programmers are discussing whether the code they write will be taken over by Copilot. Anxiety comes over me like a tide. Ordinary people sit at their workstations and have only one question in their minds: Will I be the next one to be eliminated?

This anxiety is not unreasonable. But panic itself cannot solve the problem, let alone allow a person to stand firm in the wave. What can really allow ordinary people to continue to have food in 2026, and even live better than before, is not to compete with AI to see who is faster, but to figure out which abilities AI cannot take away for the time being, and then develop these abilities solidly. The following six items are the core capabilities that have been observed in the past year or two and have been verified as key in different industries.

Which jobs will be replaced faster by AI

It is generally expected in the industry that the first to be affected will not be a certain industry as a whole, but those links in the industry that are highly standardized, have clear rules, and are highly repetitive. For example, basic translation, templated contract clause review, primary data sorting, simple customer service Q&A, fixed template picture design, and first draft copywriting. The core actions of these positions can be broken down into enumerable steps, and things that can be broken down into enumerable steps are almost all things that AI is best at.

Relatively speaking, jobs that require on-site judgment, face-to-face communication, responsibility, and comprehensive judgment across multiple fields will be replaced much slower. A project manager at a construction site, a salesperson who can coax customers, a supervisor who can lead a team to fight tough battles, their value does not lie in completing a specific action, but in making decisions in chaos. This kind of value cannot be learned by large models in the short term.

Therefore, the core idea for ordinary people to improve their competitiveness is not to compete with AI for automated tasks, but to move their work content to the side that "AI cannot do". The following six capabilities essentially help you complete this migration.

The first item is tool usage, using AI as a lever rather than an opponent.

Many people avoid AI and feel that after learning it, they will save their boss manpower and put themselves in more danger. The logic is reversed. When someone in a team can use AI, the person who can't use it will be the first to be laid off, because he produces less with the same working hours.

Tool usage does not mean being able to register an account or enter a sentence, but whether you can embed AI into your workflow. Can accountants ask AI to help them automatically sort out voucher summaries? Can operations ask AI to generate a weekly report skeleton from background data? Can teachers ask AI to help them quickly generate practice questions of different difficulty levels? Can salespeople ask AI to simulate customer questions for practice? In these scenarios, AI does not replace you, but increases your productivity by three or five times.

The way to get started is also very simple. Choose two or three repetitive actions that you do every day, try to hand them over to AI, and note which links it does well and which ones it does poorly. After two weeks, you will know this tool better than most of your colleagues around you.

The second item is the expressiveness of prompt words and the ability to clearly explain the needs.

Prompt words are not metaphysics, they are essentially the ability to explain something clearly. It's easy to say it, but not many people do it. For the same requirement, someone asked AI to output a usable draft in three sentences, while someone revised it twenty times and it still didn't look right. The difference is that the former can clearly explain the background, target, audience, style, and boundaries.

The value of this capability extends far beyond the dialog box itself. A person who can clearly explain his needs will save half the time compared to others when assigning tasks to colleagues, reporting to leaders, and communicating with customers. The AI ​​era has amplified the dividends of expression, because now the objects of your expression are not only people, but also machines that are on standby at any time.

The method of practice is to go through the purpose of the matter in your mind every time before making a request to the AI, what the other party needs, what does not need, and what is the final output format. It may feel verbose at first, but if you stick to it for a month or two, you will find that writing emails, writing plans, and making reports becomes much smoother.

The third item is cross-border integration, knowing one skill and then overlaying AI

It’s useless to only know AI, because soon everyone will be able to use it. But if you already know a specific craft, and then add AI, it will be another level of competitiveness.

Accounting plus AI can create a financial and tax consultant that is ten times faster than traditional accounting. Law plus AI can allow lawyers to save a lot of time on preliminary screening of cases, leaving their energy for truly complex cases. Teachers plus AI can provide personalized tutoring plans. When photographers add AI, they can do post-production, photo retouching, and stylization. Even cooking masters can develop new menus and organize supply chains faster with the addition of AI.

The key to cross-border integration is to have the "border" first. If you don't have any outstanding skills and have only learned a bunch of prompt words, then your position will be the most dangerous. Therefore, the most important question that ordinary people should ask themselves before practicing AI is whether the skill of eating in my hands is deep enough.

Item 4: Content creativity, taste and aesthetics cannot be outsourced

AI can now draw pictures, write songs, shoot videos, and edit. But what’s interesting is that the ones who can really stand out on the content platform are still the creators with online taste. Technology has become cheaper, but taste has become more expensive.

Why do I say this? Because when everyone can use AI to generate content, a large number of qualified but mediocre works will appear in the information flow. Those who can be remembered in this environment must be those who have a grasp of the audience's psychology, the rhythm of the picture, the ups and downs of emotions, and the cultural memes. AI generates a hundred pictures, and you have to be able to pick the one that suits you the most. This is an ability in itself.

This ability is slower to develop because it relies on a lot of input and judgment. Brush up on excellent works every day, read a few good books, go out to visit exhibitions, and pay attention to the details around you. These things that seem to have nothing to do with work will at some point become the key to widening the gap between you and others.

Item 5: Interpersonal trust, offline connections and services cannot be replaced

No matter how powerful the AI ​​is, it can't walk into the customer's home, pick up a glass of wine at the dinner, or hand over a tissue when the customer cries. All jobs that require the establishment of trust between people are areas that AI will not be able to conquer in the short term.

This means that people who can do business, lead teams, and manage relationships are more valuable in the AI ​​era. A salesperson who can be referred by customers, a store manager who can make employees willing to work with him for ten years, a small boss who can make neighbors take care of the business, their value is not a certain action, but the trust capital accumulated over a long period of time.

Ordinary people who want to practice this ability should start by taking good care of real friends in their circle of friends, start by handling the relationship with colleagues at work smoothly, and start by treating customers as people instead of orders. It sounds very basic, but not many people can do it.

The sixth item is continuous learning ability. If you don’t update it for half a year, you will fall behind.

The iteration speed of AI tools is unprecedented. The gameplay that was popular six months ago may not be mentioned now; the content of the course purchased a year ago may be outdated. This means that continuous learning is not a slogan, but a survival configuration in this era.

The learning mentioned here is not to take a lot of crash courses, but to develop a stable habit. Spend a few hours every week to pay attention to the changes in the industry, practice one or two new tools every month, and take stock of whether your skill tree has been updated every quarter. The important thing is not to learn more, but to not let yourself fall behind.

A further step is to learn to learn with questions. Don't learn a tool just because it's popular, but think clearly about the problem you want to solve and then find the corresponding tool. What you learn in this way will really stick with you.

How to get started, the entry route for ordinary people

After talking about so many abilities, how to start specifically is the question that most people are most concerned about. Give a relatively stable route.

The first step is to choose a work scenario that you do every day, break down its process, and mark which links are repetitive and which are judgmental. The second step is to pick one of the repeated links and try to let AI do it for you. Stick to it for two weeks and see how much the efficiency improves. The third step is to write down your own judgment criteria in the judgment process. These are your core assets that distinguish you from AI.

If you are still looking for a direction, starting a low-threshold AI side job is a good way to practice. It is easier to get started with AI drawing because of its fast feedback, intuitive finished product, and short path to monetization. You can try Lingtu This kind of application, it aggregates Several mainstream style engines such as Midjourney, Flux, and Nano Banana are interactive in Chinese and can be downloaded directly in iOS countries. Use it to first practice the muscle memory of "describing images with prompt words", and then try small businesses with real needs such as Xiaohongshu illustrations, official account covers, and e-commerce main images.

The advantage of starting from drawing is that you can practice tool usage, prompt word expression and aesthetic judgment at the same time, and the three abilities will be improved at the same time. Once you have a solid foundation, and then add your original skills, your cross-border integration will come naturally.

An easy pitfall is to only learn tools without practicing thinking.

Finally, I must remind you of a common pitfall, which is to focus all your energy on chasing tools and forget to practice your thinking. Learn a new model today, try a new plug-in tomorrow, and check out new applications the day after tomorrow. After half a year, my favorites are full, and there are no tools that I am really familiar with.

Tools are the bottom layer, and thinking is the top layer. A person who is accustomed to breaking down problems, expressing clearly, and thinking from others' perspective can quickly get started with any tool. On the other hand, a person who can only click the mouse according to the tutorial will be confused as soon as the tools are changed.

Therefore, in the process of practicing these six abilities, you must clearly distinguish what is superficial and what is underlying. The surface layer is the shortcut keys of a certain software, and the bottom layer is the perspective of looking at the problem, the steps to solve the problem, and the way to deal with people. The former will become obsolete, the latter will not.

FAQ

Is it too late to change careers when you are over 30?

There's still time, but you have to change your thinking. The advantage of being over 30 years old is not the speed of learning new things from scratch, but the accumulated industry experience and connections. The smart approach is not to throw away the past and start over, but to superimpose AI tools on existing work experience and create an upgraded version of "old business plus AI", which not only retains years of accumulation, but also keeps up with the new era.

Are there any advantages for liberal arts students studying AI?

To some extent there is. In the AI ​​era, prompt word expressiveness, content creativity, and cross-cultural understanding are all highly related to liberal arts training. Liberal arts students do not need to compare their technical depth with engineering students. Instead, they should superimpose the language, aesthetics, and humanistic judgment they are good at on AI tools to make things that people with engineering backgrounds cannot.

AI tools are updated so quickly, will learning them become outdated soon?

Specific tools become obsolete, but capabilities do not. A piece of software you learn today may be replaced in a year, but the abilities you develop during the learning process to break down problems, express clearly, and quickly make mistakes will be transferred to the next tool. So when you learn, you should bring this awareness and focus on the method instead of rotely memorizing where a certain button is.

Do you have to learn programming to use AI well?

no. Nowadays, mainstream AI tools have long been reduced to the level that can be used without writing code. In a large number of office scenarios, you only need to use natural language to drive them. Of course, if you are willing to learn a little bit of Python or the basics of some automation tools, you will be more efficient, but this is not a requirement. First do something solid that can be done without writing code, and then consider whether to continue to go deeper.

I don’t want to do a side job and just want to keep my job. Do I still need to practice these abilities?

Much needed. These six abilities are not prepared for side jobs, but are prepared for you to not be replaced in your current position. Even if you don't plan to make extra money, as long as you still want to keep your current job and have room for advancement in the company, improving your ability to use tools, expressiveness, and interpersonal trust will directly increase your bargaining power. Keeping your job is the most pragmatic goal.