Based on an online survey focused on understanding if and how people use generative artificial intelligence (AI), and what they think about its application in journalism and other areas of work and life across six countries (Argentina, Denmark, France, Japan, the UK, and the USA), we present the following findings.

ChatGPT is by far the most widely recognised generative AI product – around 50% of the online population in the six countries surveyed have heard of it. It is also by far the most widely used generative AI tool in the six countries surveyed. That being said, frequent use of ChatGPT is rare, with just 1% using it on a daily basis in Japan, rising to 2% in France and the UK, and 7% in the USA. Many of those who say they have used generative AI have used it just once or twice, and it is yet to become part of people’s routine internet use.

In more detail, we find:

— Just 5% across the six countries covered say that they have used generative AI to get the latest news.
— While there is widespread awareness of generative AI overall, a sizable minority of the public – between 20% and 30% of the online population in the six countries surveyed – have not heard of any of the most popular AI tools.
— In terms of use, ChatGPT is by far the most widely used generative AI tool in the six countries surveyed, two or three times more widespread than the next most widely used products, Google Gemini and Microsoft Copilot.
— Younger people are much more likely to use generative AI products on a regular basis. Averaging across all six countries, 56% of 18–24s say they have used ChatGPT at least once, compared to 16% of those aged 55 and over.
— Roughly equal proportions across six countries say that they have used generative AI for getting information (24%) as creating various kinds of media, including text but also audio, code, images, and video (28%).

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Welcome to the seventh edition of the AI Index report. The 2024 Index is our most comprehensive to date and arrives at an important moment when AI’s influence on society has never been more pronounced. This year, we have broadened our scope to more extensively cover essential trends such as technical advancements in AI, public perceptions of the technology, and the geopolitical dynamics surrounding its development. Featuring more original data than ever before, this edition introduces new estimates on AI training costs, detailed analyses of the responsible AI landscape, and an entirely new chapter dedicated to AI’s impact on science and medicine.

Top Takeaways

— AI beats humans on some tasks, but not on all.
— Industry continues to dominate frontier AI research.
— Frontier models get way more expensive.
— The United States leads China, the EU, and the U.K. as the leading source of top AI models.
— Robust and standardized evaluations for LLM responsibility are seriously lacking.
— Generative AI investment skyrockets.
— The data is in: AI makes workers more productive and leads to higher quality work.
— Scientific progress accelerates even further, thanks to AI.
— The number of AI regulations in the United States sharply increases.
— People across the globe are more cognizant of AI’s potential impact—and more nervous.

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As some teachers start to use artificial intelligence (AI) tools in their work, a majority are uncertain about or see downsides to the general use of AI tools in K-12 education, according to a Pew Research Center survey conducted in fall 2023.

A quarter of public K-12 teachers say using AI tools in K-12 education does more harm than good. About a third (32%) say there is about an equal mix of benefit and harm, while only 6% say it does more good than harm. Another 35% say they aren’t sure. — Read More

When ChatGPT was released in November 2023, it could only be accessed through the cloud because the model behind it was downright enormous.

Today I am running a similarly capable AI program on a Macbook Air, and it isn’t even warm. The shrinkage shows how rapidly researchers are refining AI models to make them leaner and more efficient. It also shows how going to ever larger scales isn’t the only way to make machines significantly smarter. — Read More

AI is the Industrial Revolution of knowledge work, transforming how all workers can apply
information, create content, and deliver results at speed and scale. How is this affecting
jobs? With the AI Jobs Barometer, PwC set out to find empirical evidence to help sort fact
from fiction.

PwC analysed over half a billion job ads from 15 countries to find evidence of AI’s impact at worldwide scale through jobs and productivity data. — Read More

The web has become so interwoven with everyday life that it is easy to forget what an extraordinary accomplishment and treasure it is. In just a few decades, much of human knowledge has been collectively written up and made available to anyone with an internet connection.

But all of this is coming to an end. The advent of AI threatens to destroy the complex online ecosystem that allows writers, artists, and other creators to reach human audiences. — Read More

UMD-LinkUp, a collaboration between the Robert H. Smith School of Business at the University of Maryland, LinkUp Job Market Data, and Outrigger Group, introduced the world’s first tool for mapping the creation of jobs requiring artificial intelligence skills: UMD-LinkUp AI Maps.

AI Maps leverages LinkUp’s industry-leading job data to visualize the spread of jobs requiring skills in AI across the country – by sector, state and more granular geographic levels. The resulting interactive map allows users to track the creation of U.S.-based AI jobs each month; rank states by their share of those jobs; do a deeper dive across economic sectors, metropolitan areas, and counties; and determine a region’s AI Intensity: the ratio of its AI jobs to all other postings. — Read More