ΑΙhub.org
 

2022 Artificial Intelligence Index Report published


by
18 March 2022



share this:

AI index report front cover
Image taken from the front cover of the 2022 AI Index Report.

The 2022 AI Index Report has been published. Compiled by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), it tracks, summarises and visualises data relating to artificial intelligence.

The aim of the report is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.

The report comprises five chapters covering the following topics:

  1. Research and development
  2. Technical performance
  3. Technical AI ethics
  4. The economy and education
  5. AI policy and governance

The report authors have highlighted eight key takeaways from their investigations this year:

  • Private investment in AI soared while investment concentration intensified. Private investment in AI in 2021 was around $93.5 billion, more than double the 2021 amount. However, the number of newly funded AI companies continues to drop, from 1051 companies in 2019 and 762 companies in 2020 to 746 companies in 2021.
  • USA and China dominated cross-country collaborations on AI. The USA and China had the greatest number of cross-country collaborations in AI publications from 2010 to 2021, increasing five fold since 2010.
  • Language models are more capable than ever, but also more biased. Models are setting new records on technical benchmarks, but new data shows that larger models are also more capable of reflecting biases from their training data.
  • The rise of AI ethics everywhere. Since 2014, there has been a fivefold increase in AI ethics publications.
  • AI becomes more affordable and higher performing. Since 2018, the cost to train an image classification system has decreased by 63.6%, while training times have improved by 94.4%. T
  • Data, data, data. Top results across technical benchmarks have increasingly relied on the use of extra training data to set new state-of-the-art results.
  • More global legislation on AI than ever. The number of bills containing “artificial intelligence” that were passed into law grew from just 1 in 2016 to 18 in 2021.
  • Robotic arms are becoming cheaper. The median price of robotic arms has decreased by 46.2% in the past five years, from $42,000 per arm in 2017 to $22,600 in 2021.

Find out more about the report here.

You can access the full pdf version here.

How to cite this report

Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, and Raymond Perrault, “The AI Index 2022 Annual Report,” AI Index Steering Committee, Stanford Institute for Human-Centered AI, Stanford University, March 2022.

Past editions of the report

2021 AI Index Report
2019 AI Index Report
2018 AI Index Report
2017 AI Index Report




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Half of AI health answers are wrong even though they sound convincing – new study

  12 May 2026
Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.

Gradient-based planning for world models at longer horizons

  11 May 2026
What were the problems that motivated this project and what was the approach to address them?

It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea

  08 May 2026
Increased offloading to new tools has raised the fear that people will become overly reliant on AI.

Making AI systems more transparent and trustworthy: an interview with Ximing Wen

  07 May 2026
Find out more about Ximing's work, experience as a research intern, and what inspired her to study AI.

Report on foundation model impacts released

  06 May 2026
Partnership on AI publish a progress report on post-deployment governance practices.

Forthcoming machine learning and AI seminars: May 2026 edition

  05 May 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 5 May and 30 June 2026.

AI for Science – from cosmology to chemistry

  01 May 2026
How AI is transforming science, from a day conference at the Royal Society
monthly digest

AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis

  30 Apr 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence