AI boom

Computers can learn to think.

This is called artificial intelligence. It is growing very fast right now. Some people call this an AI spring.

Computers can now make new art. They can even make songs. They can also make videos from words. This helps people do work much faster. Some people use these tools every day. It is a very big change for our world.

Artificial intelligence, or AI, is growing very fast.

This period of growth is called an AI boom. Some people call it an AI spring.

In 1956, a group of researchers held a workshop. This was the Dartmouth conference. It was the birthplace of AI as a field of study. John McCarthy helped lead this work. He also made a coding language called LISP. LISP was very helpful for AI research.

Today, we use AI in many ways. We use large language models, or LLMs. These are tools that can talk like humans. They work by reading huge amounts of data. ChatGPT is a famous LLM. It is the 4th-most visited website in the world.

AI can also make things. It can make images from words.

It can make music and even videos. Some AI helps scientists study proteins. This could help us find new medicines. However, AI uses a lot of power. This puts a big demand on our electricity.

Many countries are now racing to make new AI tools.

An AI boom is a time of very fast growth in artificial intelligence. People sometimes call this an AI spring. This name helps show how it is different from older times when progress was slow. Today, many people use tools called large language models, or LLMs. These are programs designed to talk like humans. They work by looking at a huge amount of data. This helps them give the right answers to many different tasks. ChatGPT is one of these famous tools. As of 2025, it is the 4th-most visited website in the whole world.

Learning how these tools work is quite interesting. To make an LLM, researchers feed the model a massive amount of data. The model uses this data to learn how to respond to human language. Some AI can even make new things from scratch. This is called generative AI. It can create images from just a few words. It can also make music or even videos. For example, a tool called Sora can make videos from text. This helps people make advertisements much faster.

The history of this field goes back a long way. In 1950, Alan Turing spoke about "Thinking Machines." He wanted to see if computers could reason like people. He created the Turing Test to check this. In 1956, John McCarthy used the term "artificial intelligence" for the first time. That same year, the Dartmouth conference was held. This workshop was the birthplace of AI as a field of study.

McCarthy also made a coding language called LISP in 1958. LISP was very important for AI research for many years.

Many different companies have helped build the AI we see now. In 2011, Apple released the iPhone 4S with an assistant named Siri. This was the first mainstream AI assistant on a smartphone. Later, Amazon released Alexa in 2014. Google released its own assistant in 2016. In the last few years, new tools like DALL-E 2 and Midjourney arrived. These tools can make images from text prompts.

Science has also seen big changes. In 2020, a program called AlphaFold helped predict how proteins fold. This could help scientists understand diseases much better.

AI is now part of many things we use every day. It is in our phones and our smart speakers. It even helps scientists with medicine and weather. However, using AI takes a lot of electricity. This creates a high demand for power. Big companies like Microsoft and Google are even looking at nuclear power to help.

People have many different feelings about all these changes. Some think AI will help us solve big problems. Others worry it might change how we work or create art. It is a very big part of our world now.

An AI boom is a period of rapid growth in the field of artificial intelligence (AI). This current era is sometimes called an "AI spring." This term helps distinguish this period of fast progress from previous "AI winters." In recent years, AI has moved from specialized labs into everyday life. For example, ChatGPT became the 4th-most visited website globally by 2025. It sits only behind Google, YouTube, and Facebook.

Much of this modern growth comes from large language models, or LLMs. These are AI systems designed to respond to human language. To make them work, researchers feed the models an immense amount of data. The models study this data to learn how to produce acceptable responses. This process allows them to conduct a wide range of tasks. Some of these models also use generative AI. This means they can create entirely new content, such as images or videos, from scratch.

The history of AI began decades before the current boom. In 1950, Alan Turing proposed the idea of "Thinking Machines." He wanted computers to reason at the same level as humans. He created the Turing Test to see if a machine could pass for a person. In 1956, John McCarthy coined the term "artificial intelligence." That same year, the Dartmouth conference was held. This workshop is considered the birthplace of AI as a formal field of study.

John McCarthy also made major technical contributions to the field. In 1958, he created the programming language LISP, which stands for "List Processing." LISP became the main language for AI research for many years. It was very reliable because AI often uses lists that change in size. McCarthy also founded the Stanford Artificial Intelligence Laboratory (SAIL) in 1962. This lab helped advance robotics, medical diagnostics, and autonomous vehicles. In 1966, Joseph Weizenbaum created ELIZA. This was the first AI chatbot, designed to act like a psychotherapist.

AI has moved from research labs into consumer devices. In 2011, Apple released the iPhone 4S with Siri. Siri was the first mainstream smartphone AI assistant. It allowed users to set tasks using only their voices. Following this, Amazon released Alexa in 2014 for smart speakers. Google released Google Assistant in 2016. More recently, text-to-image models like DALL-E 2 and Midjourney arrived in 2022. These tools allow users to generate art using simple text prompts.

Scientific breakthroughs have also defined this boom. In 2020, Google DeepMind’s AlphaFold program achieved a major milestone. It scored over 90 in the CASP Global distance test for predicting protein folding. This ability to predict protein structures can help scientists discover new drugs. AI has also changed how we create media. Google's WaveNet and OpenAI's Jukebox showed that AI could generate raw audio and complex songs. In 2024, tools like Sora made text-to-video generation more common for advertisements.

This rapid growth has significant global impacts. In 2024, China and the U.S. held more than 75% of all AI patents. While China had more patents, the U.S. had 35% more patents per applicant company. The rise of AI also requires massive amounts of electricity. This has increased the demand on power grids. To meet this need, Microsoft signed a deal in 2024 to use power from the Three Mile Island nuclear reactor. This reactor is expected to reopen in 2028 to power data centers.

As AI becomes more common, people hold very different views. Many believe AI will help with medicine, weather forecasting, and data analysis. However, others worry about the ethical use of generative AI. There are concerns about misinformation and "deep-faked" videos used for politics. Some people fear that AI will replace human jobs or weaken human creativity. Economists like Erik Brynjolfsson believe AI will cause a productivity boom. Others, like Robert Gordon, remain more pessimistic about these changes.