Two Years That Changed the World. How Artificial Intelligence Rewrote the Rules of Human Life

КЛЁ 9 октября, 2026 11 минут чтения

Just two years ago, artificial intelligence was still a fascinating technological curiosity for most people. We chatted with it, asked it to write poems, draw cats, or answer difficult questions. Today, AI writes software, analyzes documents, creates videos, assists doctors, participates in business decisions, and is gradually becoming an autonomous digital worker.

In just two years, humanity has experienced changes that once took decades to unfold. And perhaps the most surprising thing is not what artificial intelligence can do, but how quickly we have started treating its capabilities as completely ordinary.

We barely noticed when we stopped being amazed.

From a Toy to a Digital Employee

Think back to 2024. AI-generated images looked impressive, but artificial intelligence still regularly confused fingers, distorted text, made absurd mistakes, and confidently invented facts. Creating a complete software product, producing a high-quality video, or conducting serious research without substantial human involvement was extremely difficult.

By 2026, the situation is entirely different.

Modern AI models can work with text, images, audio, video, and programming code. They can analyze enormous amounts of information, interact with software, and carry out sequences of actions.

The development of AI agents is particularly interesting. While a conventional chatbot answers questions, an AI agent can receive a task, divide it into stages, use tools, and produce a result. Of course, its degree of independence depends on the permissions it has been granted, technical limitations, and the need for human oversight.

In essence, we are witnessing the transition of artificial intelligence from a conversational partner into an active executor of tasks.

And that may be a far more significant revolution than the arrival of another powerful AI model.

Intelligence Is No Longer an Expensive Luxury

In the past, building a website required developers, advertising required designers, analytics required specialists, and producing videos involved an entire production chain.

Today, one person equipped with the right tools can independently accomplish a substantial portion of that work.

Not always perfectly. Not always on the first attempt. But the mere possibility is already changing the economics of small businesses, startups, and independent creators.

As a result, value is shifting away from the technical ability to perform an individual operation toward the ability to define a task, verify the outcome, and combine separate actions into a functioning product.

This does not mean professional expertise has become unnecessary. Quite the opposite. The easier AI makes it to create something, the more important it becomes to understand what you are actually creating.

Someone with no programming experience can generate working code. But will they be able to identify a security vulnerability? They can create an attractive financial spreadsheet. But will they notice an error in the calculations?

AI has dramatically reduced the cost of producing intellectual work, but it has not eliminated the cost of mistakes.

The World of Work Is Already Changing

In January 2024, the International Monetary Fund estimated that artificial intelligence could affect nearly 40% of jobs worldwide. In advanced economies, that figure reaches approximately 60%.

It is important to understand that these figures do not mean that such a percentage of professions will disappear. They describe changes in tasks, job requirements, and productivity.

Repetitive intellectual work has been particularly exposed. Preparing standard documents, processing information, writing routine content, performing basic analysis, providing technical support, and handling certain programming tasks are all increasingly affected.

And here we encounter an interesting paradox.

For decades, people were told that education and intellectual work provided relative protection against automation. Robots were supposed to replace factory workers, not office employees.

Yet generative AI has begun transforming precisely the kind of work performed in offices.

Where a specialist’s main advantage once lay in the ability to quickly find and process information, the increasingly valuable skills are now defining problems, evaluating consequences, and taking responsibility for decisions.

At the same time, there is still insufficient evidence to determine confidently how many jobs AI has permanently eliminated. New professions are emerging, responsibilities within existing roles are changing, and entirely new markets are taking shape.

Programmers Have Become the Center of the Experiment

Software development has become one of the first industries where the impact of artificial intelligence can be observed almost every day.

According to Stack Overflow’s 2025 Developer Survey, 84% of respondents were already using or planning to use AI tools in their development processes.

But there is an interesting detail: 46% of surveyed developers distrusted the accuracy of AI-generated answers, while only 33% trusted them.

The result is a remarkable situation. People use the technology extensively, yet they do not fully trust it.

The reason is relatively simple. Artificial intelligence can produce hundreds of lines of code in seconds, but a single unnoticed error can wipe out all the time saved.

The programming profession is therefore not simply disappearing. The nature of the work is changing, with greater emphasis on architecture, verification, security, and maintaining the resulting software.

Similar changes are gradually appearing in other professions.

The Internet Is Filling Up With Artificial Content

Not long ago, a photograph was considered relatively convincing evidence that something had happened, while a video recording was regarded as even stronger proof.

Today, realistic images and videos can be created without cameras, actors, or real-world scenes.

AI can generate voices, faces, movements, interviews, and entire fictional stories. This opens extraordinary possibilities for creativity, education, cinema, and advertising.

But it also undermines our traditional mechanisms of trust.

Seeing a video is no longer enough to be certain that an event actually took place. Hearing a familiar voice is no longer enough to establish the identity of the person speaking.

Creating convincing fakes is becoming cheaper, while verifying authenticity is becoming more complicated.

According to the Stanford AI Index 2026, the number of documented AI-related incidents increased from 233 in 2024 to 362 in 2025.

And the problem extends far beyond fraudsters. The internet is increasingly confronted with an abundance of material produced with little or no human involvement.

This raises an important question: if practically anyone can create an article, photograph, or video, what actually becomes valuable?

In my view, the answer is quite obvious. Reputation, verified facts, original thinking, and the trust of an audience.

Big Money and a New Struggle for Influence

Artificial intelligence has long since ceased to be merely a technological field. It has become one of the central arenas of global investment competition.

According to the Stanford AI Index 2026, total corporate investment in AI reached approximately $581.7 billion in 2025. This estimate includes not only private investment but also other forms of corporate investment activity.

Behind every AI model stands an enormous infrastructure: data centers, processors, cooling systems, power grids, and multiyear contracts.

That is why the competition between OpenAI, Google, Anthropic, Microsoft, Meta, and other market participants has moved far beyond the quality of chatbot responses.

Companies are competing for computing power, specialists, access to user data, enterprise customers, and a place within everyday digital infrastructure.

Essentially, a new layer of technological dependence is emerging.

In the past, most companies purchased software. Today, they are increasingly buying access to intellectual capabilities that they cannot build themselves.

And that creates a risk: the more dependent a business becomes on a particular AI platform, the harder it is to control future costs, terms of service, and the migration of its processes to another provider.

Artificial Intelligence Has Developed a Very Real Appetite

There is another side to this revolution that is often overlooked.

Artificial intelligence does not exist in some abstract digital space. It requires actual buildings, equipment, electricity, water for certain cooling systems, and enormous capital expenditure.

According to the International Energy Agency, data centers consumed approximately 415 TWh of electricity in 2024, accounting for roughly 1.5% of global electricity consumption.

In its updated 2026 outlook, the agency projected that data center electricity consumption could reach approximately 950 TWh by 2030.

Not all of that electricity is consumed directly by artificial intelligence. However, AI development is becoming one of the main drivers of growing demand.

An unexpected relationship is emerging. The future of advanced digital technology increasingly depends on the most physical of things: power plants, transformers, cables, land, and cooling systems.

Sometimes it seems that humanity is building an entirely intangible intellectual economy. Yet supporting that economy requires more and more physical infrastructure.

We Started Trusting Machines Before Learning How to Verify Them

In my opinion, the most significant change over these two years has occurred not in technology, but in human behavior.

We increasingly turn to AI for advice, explanations, recommendations, and ready-made solutions.

And we are gradually becoming accustomed to receiving answers immediately.

A dangerous habit is emerging: treating convincingly presented information as reliable information.

But artificial intelligence can make mistakes. It can rely on outdated data, misinterpret sources, and create highly plausible explanations for events that never happened.

This is particularly dangerous in medicine, finance, law, and cybersecurity.

The more convincing an AI model becomes, the harder it is for an untrained person to recognize an error.

As a result, technological progress simultaneously makes knowledge more accessible and creates new opportunities for the mass distribution of unreliable information.

We will have to learn to live in a world where a well-written answer and a correct answer are far from the same thing.

But What Has Happened to Humanity Itself?

I believe this is where the most interesting part of the story begins.

For centuries, humanity sought to automate difficult physical labor. We then learned to automate calculations, manufacturing, transportation, and communication.

Now automation has reached creativity, analysis, and certain aspects of decision-making.

For the first time, we are facing a situation in which a machine can perform tasks that were previously considered expressions of exclusively human intelligence.

This inevitably forces us to reconsider our own value.

If artificial intelligence can write, does that mean writers are no longer needed? If it can create paintings, does the work of an artist lose its meaning? If it generates software code, is there still any reason to learn programming?

I believe these questions are fundamentally misguided.

The camera did not destroy painting. The calculator did not eliminate mathematics. The internet did not make education unnecessary.

But each of these technologies changed our understanding of which skills truly matter.

Something similar is happening with artificial intelligence, except that the pace of change is incomparably faster.

And here another problem emerges. We risk gradually abandoning independent effort in precisely those areas where effort helps develop our abilities.

Why struggle to understand a complicated issue when you can get a ready-made answer? Why write something yourself when a machine can do it faster? Why train your memory when almost any information can be requested instantly?

Convenience is extraordinarily tempting.

But human intelligence develops not only from receiving correct answers. It also develops through searching, questioning, making mistakes, and trying to understand.

Technology that frees us from unnecessary routine genuinely gives us more time. But technology to which we thoughtlessly surrender our own thinking can make us dependent on its decisions.

Two Years Later

In 2024, we were asking what else artificial intelligence would be able to do.

In 2026, we increasingly have to ask what we should still be doing ourselves.

And that is a fundamentally different question.

I do not consider artificial intelligence either humanity’s savior or the beginning of its end. It is an extraordinarily powerful tool that is already changing the economy, education, creativity, medicine, programming, and our everyday behavior.

At the same time, we are witnessing only the beginning of this process. The technology’s capabilities are advancing faster than society can develop rules for its safe and responsible use.

Over these two years, AI has not automatically made humanity more intelligent. It has made access to intellectual tools incomparably easier.

And now much depends on what we choose to do with them.

We can use artificial intelligence for education, research, development, and solving problems that once required enormous resources.

Or we can become so accustomed to ready-made answers that we eventually stop asking our own questions.

We have taught machines to write, draw, speak, and reason. The important thing is that, in this race, we do not forget how to think for ourselves.

And perhaps that will be the real test of the next two years.

Sources

Ваша реакция на материал