Bota Posted on 2025-06-12 13:15:00

The "unprecedented" AI revolution - Study: New technology is spreading at historic pace

From Kristi Ceta

The "unprecedented" AI revolution - Study: New technology is spreading

The rise of artificial intelligence in our lives is officially unprecedented, according to the latest data. A 340-page report showed the rapid pace of change and the expansion of investment.

One of the report's graphs shows that OpenAI's ChatGPT reached 800 million users by April 2025, a few years after its launch in October 2022. The company's revenue also grew similarly; from zero to €3.5 billion in 2025.

Based on user data, ChatGPT's growth, in particular, is the fastest "big success" in history, nine years after the company was founded in late 2015.

"Unlike the Web 1.0 revolution, where the technology began in the US and then spread globally, ChatGPT burst onto the global scene immediately, growing in most regions of the world simultaneously," the report explains. It reached 100 million global users in less than 2 months after launch, the fastest technology to achieve such a feat. By comparison, it took Facebook 4.5 years to reach the same number of users after launch.

According to forecasts, it will take three years for most families to adopt the new technology, down from the 12 years it took people to start using the internet regularly.

There are various factors influencing the “rapid and transformative” growth of artificial intelligence. First, it enjoys broad support from founders of new companies, as well as more traditional ones, which is demonstrated by high investments in innovative technology.

The report notes that tech giants, including NVIDIA, Google, Meta, Microsoft and China's Baidu, have increased their focus on the sector since 2022.

Also, the number of new artificial intelligence models has increased by 167 percent year-on-year since 2020, while the amount of data they use has expanded by 260 percent in the same period.

Another important detail is the reduction in the costs of developing new models. Expenses for those using the technology have fallen by 99% over two years, even though the costs of training a model can reach up to $1 billion.

 

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