How Artificial Intelligence Destroys and Creates Jobs

Until a few years ago, talk of artificial intelligence taking people’s jobs seemed like a science fiction scenario. Today, this is no longer the predictions of futurologists, but the reality faced by companies around the world.

Neural networks write texts, create images, analyze documents, conduct correspondence with customers, compile reports and even help make managerial decisions. Many processes that used to take hours of human labor are now performed in minutes.

However, the history of technology shows that each technological revolution simultaneously destroys some professions and creates others. This was the case during the Industrial Revolution, the advent of computers and the Internet. Artificial intelligence is no exception.

The question is no longer whether AI will replace humans. The question is: which specialists will be in demand in the new economy, and which risk remaining outside it.

The Fourth Industrial Revolution has already begun.

Economists are increasingly calling the current stage of technology the fourth industrial revolution.

The first revolution gave mankind steam engines.

The second is electricity and mass production.

The third is computers and the Internet.

The fourth is based on artificial intelligence, automation, robotics and big data.

The difference in the current transformation is the speed.

If earlier it took decades to introduce new technologies, today changes occur in just a few years.

Companies that did not use AI yesterday are already implementing neural network solutions in sales, marketing, logistics and personnel management.

Which professions are at risk

Specialties associated with repetitive and standardized tasks are most under pressure.

These are the processes that artificial intelligence automates most quickly.

Support operators

Modern chatbots are capable of:

• answer typical questions;
• advising clients;
• place orders;
• collect feedback;
• accompany the deals.

In many companies, up to 80% of requests are already processed automatically.

Entry level content managers

Neural networks can:

• write texts;
• make descriptions of goods;
• generate headlines;
• create content plans;
• Translate materials into dozens of languages.

Therefore, specialists who perform exclusively mechanical work with content gradually lose their competitive advantage.

Translators

Machine translation has made a huge leap in recent years.

In a number of areas, neural networks already provide quality sufficient for the daily operation of business.

This is especially true of technical texts, instructions and business correspondence.

Entry-level accountants

Automation of financial accounting is developing rapidly.

AI is capable of:

• recognize documents;
• prepare reports;
• check errors;
• calculate taxes;
• control payments.

The more the work is reduced to the processing of standard documents, the higher the probability of its automation.

Data processors

If earlier to analyze large amounts of information required teams of employees, today neural networks are able to perform a significant part of this work independently.

But AI isn't just taking jobs.

Every new technology creates new markets.

With the advent of automobiles, thousands of equestrian professions disappeared. But at the same time there were car plants, car services, road construction and logistics.

The same thing happens with artificial intelligence.

What professions arise thanks to AI

Engineers working with artificial intelligence

Companies are looking for professionals who can:

• install neural networks;
• train models;
• Integrating AI into business processes;
• set up automation.

Demand for such employees is growing faster than supply.

AI consultants

Most companies understand the need for artificial intelligence but don’t know where to start.

Therefore, there are specialists who help the business:

• Finding automation points;
• select tools;
• calculate the economic effect;
• train staff.

Prompt engineers

Until recently, such a profession did not exist.

Today, many companies are ready to pay for specialists who can correctly formulate queries to neural networks and get the highest quality result.

In fact, it is becoming a new language of communication between humans and artificial intelligence.

AI Quality Control Specialists

The more decisions artificial intelligence makes, the higher the requirements for verifying the results of its work.

It is necessary to monitor:

• reliability of data;
• absence of errors;
• compliance with the legislation;
• ethical standards.

Therefore, the demand for AI verification specialists continues to grow.

AI Content Editors

Paradoxically, the development of neural networks increases the need for people who can improve, adapt and refine content.

AI creates the foundation, and the human adds expertise, emotion, strategy, and insight to the audience.

What professions will remain in demand

There is a common misconception that artificial intelligence can replace everyone.

In practice, the most stable are professions related to the human factor.

The most difficult thing is to automate:

Managing people

Leadership, team motivation and making difficult decisions remain a human responsibility.

Sales and negotiations

Especially in the B2B segment.

Large transactions are built on trust, personal relationships and understanding the interests of the parties.

Neural networks can help sellers, but they cannot completely replace them.

Creative professions

Designers, directors, marketers, strategists, and brand managers get a powerful tool in the form of AI, but do not lose their importance.

The winner is not the one who knows how to use the neural network, but the one who can create ideas.

Entrepreneurs

Business is always about uncertainty.

AI can analyze data and suggest options, but the responsibility for making decisions remains with humans.

How the labor market is changing

The main transformation is not the disappearance of professions, but the change in the requirements for specialists.

Increasingly, employers evaluate not a diploma, but the ability to quickly adapt to new conditions.

It comes to the fore:

• learning ability;
• critical thinking;
• communication;
• flexibility;
• work with data;
• technology management.

The specialist of the future is not someone who competes with artificial intelligence, but someone who knows how to effectively use its capabilities.

China and the US have already entered the AI race

Artificial intelligence is becoming not only a business tool, but also a factor in the global competition of states.

China is investing billions of dollars in neural networks, robotics and industrial automation.

The United States retains leadership in technology development and the largest AI companies.

Europe is betting on the regulation and safe implementation of artificial intelligence.

According to many analysts, the level of development of AI will determine the competitiveness of national economies in the coming decades.

What to do with professionals today

The most dangerous strategy is to ignore the changes.

Much more effective:

• study the tools of artificial intelligence;
• Automate routine tasks;
• Learn new digital skills;
• develop expertise in their industry;
• Learn to work with AI rather than compete with it.

History shows that technology rarely destroys the labor market. They change the rules of the game and create new opportunities for those who are willing to adapt.

Outcomes

Artificial intelligence is changing the job market faster than any technology of the past.

Some professions are gradually disappearing, others appear literally before our eyes. However, the main conclusion is not that AI will take jobs from humans.

It will take jobs from those who refuse to develop.

The winners of the new era will be professionals and companies who will learn to use artificial intelligence as a tool to improve efficiency, rather than perceive it as a threat.

In the coming years, people will no longer compete against neural networks, but people with neural networks against people without them.