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Home » It’s not your imagination: AI is speeding up the pace of change
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It’s not your imagination: AI is speeding up the pace of change

userBy userMay 30, 2025No Comments3 Mins Read
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This is when you feel that AI adoption is different from the high-tech revolution you’ve experienced before, such as mobile, social, or cloud computing.

Venture capitalist Mary Meeker dropped a 340-page slideshow report. This used the term “unprecedented” on 51 of these pages to explain the speed at which AI backed up to the charts was developed, adopted, adopted, used and used.

“The pace and scope of change associated with the evolution of artificial intelligence technology is indeed unprecedented, as supported by data,” she wrote in a report called “Trends – Artificial Intelligence.”

This person who writes this kind of report has a certain poetic history. Meeker is the founder and general partner of VC Firm Bond and was once known as the queen of the Internet in her previous annual Internet trends report. Before founding Bond, she implemented Kleiner Perkins’ growth practices from 2010 to 2019, supporting companies such as Facebook, Spotify, Ring, Block (Square at the time).

She has not released a trending report since 2019. However, she abandoned her skills to document in detail the laser how AI adoption outweighs other technologies in human history.

ChatGpt reach 800 million users in 17 months: Unprecedented. Number of companies and the rate at which many other companies are reaching repeat annual returns: unprecedented.

Speed ​​of lower usage costs: unprecedented. The model’s training costs (unprecedented) are up to $1 billion, but for example, the costs paid to use the technology have already fallen 99% over two years, when calculating the cost per token per million token.

Open source options, especially the Chinese model: a pace at which competitors match each other’s capabilities at unprecedented costs. For example, Nvidia’s 2024 Blackwell GPUs point out that they use 105,000 times more energy per token than their 2014 Kepler GPU predecessor.

Meanwhile, chips from Google, such as TPU (tensor processing equipment) and Amazon training, are being developed at a large scale for the cloud. “These are not side projects, they are basic bets,” she writes.

One area where AI has not surpassed all other technological revolutions is financial profit. VCs are pouring their money into AI fires as fast as possible, but AI companies and cloud service providers are also burning in cash. AI requires large investments in infrastructure.

This is good for consumers and businesses, a beneficiary of rapid improvements, and competition reduces costs, Meeker points out. However, no ju-search has yet to appear on whether or not the current company will become a long-term, profitable next-generation technology giant. “It’s only time that current AI applicants know which aspect of the gold-making equation they land on,” she writes.

For the rest of us, hold your hat.


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