The rise of artificial intelligence has reached an “unprecedented” pace, according to tech investor and internet trends analyst Mary Meeker, whose new report documents what she calls the fastest technological adoption in modern history.
In her 340-page annual trends report, titled “Trends – Artificial Intelligence,” Meeker outlines how AI is transforming global industries at breakneck speed—faster even than the advent of the internet. The report highlights skyrocketing adoption rates, record-setting user growth, surging corporate investment, and a wave of innovation that is redefining the limits of both software and hardware.
“To say the world is changing at unprecedented rates is an understatement,” Meeker wrote in the report’s introduction.
One of the most striking indicators of AI’s rise is the success of OpenAI’s ChatGPT. Since its public debut in October 2022, the chatbot has reached 800 million users globally by April 2025. The report calls ChatGPT “history’s biggest overnight success,” noting it hit 100 million users in under two months—far outpacing earlier tech giants like Facebook, which took 4.5 years to reach the same milestone.
Unlike previous technological revolutions that began in one country and slowly expanded, ChatGPT gained traction worldwide almost immediately. Meeker notes that this simultaneous global uptake marks a new kind of tech diffusion.
The report estimates that it will take just three years for AI to be integrated into most households—compared to 12 years for desktop internet. That acceleration is being driven not only by public interest but by aggressive corporate adoption and investment. Firms such as NVIDIA, Google, Meta, Microsoft, and Baidu have dramatically increased their focus on AI, with mentions of the technology surging in earnings reports since 2022.
“Companies are moving extremely aggressively,” Meeker writes, referring to both established tech giants and the new generation of AI start-ups. This includes rapid product development, high cash burn rates, and massive capital raises—all aimed at gaining an early advantage in a rapidly evolving landscape.
The report also underscores how AI model development has accelerated, with a 167% increase in the number of new models since 2020 and a 260% increase in the size of the data sets powering them. Meanwhile, the cost of inference—what it takes to run AI models—has dropped by 99% in two years, thanks to hardware advances such as NVIDIA’s 2024 Blackwell GPU chip, which is exponentially more energy-efficient than previous generations.
Though the cost to train cutting-edge models can now reach $1 billion, Meeker argues that the dramatic efficiency gains at both the hardware and software levels signal a new era of innovation.
“This is not just a tech cycle,” Meeker concludes, “it’s a fundamental reshaping of what’s possible—economically, architecturally, and globally.”