Stanford University's 2023 AI Index Report: 10 Charts Everyone Must Know

Last week Stanford University released its 2023 AI Index Report.

It's 386 pages long.

Here are the 10 charts everyone must know:

— Alex Banks (@thealexbanks) April 11, 2023

1/ Year-over-year private investment in AI decreased

AI investment has significantly increased over the last decade.

In 2022 private investment in AI was $91.9 billion—18x than in 2013.

Yet this is a 26.7% decrease since 2021.

I feel 2023 will make 2022 look like an anomaly. pic.twitter.com/48NjZORQmq

— Alex Banks (@thealexbanks) April 11, 2023

2/ AI adoption leads to cost decreases and revenue increases

Cost decreases:

• Supply chain management (52%)
• Service operations (45%)
• Strategy and finance (43%)

Revenue increases:

• Marketing and sales (70%)
• Product development (70%)
• Strategy and finance (65%) pic.twitter.com/QOcEC4B2Wa

— Alex Banks (@thealexbanks) April 11, 2023

3/ Demand for AI-related professional skills is increasing

The number of AI related job postings has increased from 1.7% in 2021 to 1.9% in 2022.

I feel this figure will be well above 2% in 2023.

Employers in the US are increasingly looking for workers with AI-related skills. pic.twitter.com/TeyiESAB7f

— Alex Banks (@thealexbanks) April 11, 2023

4/ Robot installations

Robot Installations 2021 saw a rebound in the total number of worldwide robot installations.

517,000 industrial robots were installed in 2021.

This is a 31.3% increase from 2020.

If you're interested in the future, check out @Figure_robot. pic.twitter.com/ibaASIpAd7

— Alex Banks (@thealexbanks) April 11, 2023

5/ General Machine Learning Systems

The most common class of machine learning systems were language models.

There were 23 significant AI language systems released in 2022.

This is 6x the number of the next most common type → multimodal. pic.twitter.com/BKaSbtBFiN

— Alex Banks (@thealexbanks) April 11, 2023

6/ AI education

Most AI-related courses are offered as part of a computer science (CS) curriculum.

In 2021, the total number of new North American CS bachelor’s graduates was 33,059—4x greater than in 2012. pic.twitter.com/QCIIM0kajH

— Alex Banks (@thealexbanks) April 11, 2023

7/ More women graduate with CS degrees

More women are entering the field.

The percentage of women among CS bachelor’s degree graduates rose to 22.3%.

This continues the broader trend of the past decade. pic.twitter.com/Vnd8qjBd6p

— Alex Banks (@thealexbanks) April 11, 2023

8/ Open-Source AI Software

The total number of AI-related GitHub projects has steadily increased.

Growing from 1,536 in 2011 to 347,934 in 2022. pic.twitter.com/7laTmBluxc

— Alex Banks (@thealexbanks) April 11, 2023

9/ Total number of AI publications globally

The total number of AI publications more than doubled over the last decade.

They grew from 200,000 in 2010 to almost 500,000 in 2021. pic.twitter.com/Kr0GCDcIct

— Alex Banks (@thealexbanks) April 11, 2023

10/ High environmental costs of training models

Large models with lots of parameters emit large amounts of carbon emissions.

The heaviest carbon emitter was GPT-3.

BLOOM took 433 MWh of power to train.

This would be enough to power the average American home for 41 years. pic.twitter.com/TebNp4lqm5

— Alex Banks (@thealexbanks) April 11, 2023

I'm curious to see how AGI will help us tackle climate change.

From cost savings & revenue increases to AI adoption in society,

it's clear we're moving up and to the right on all fronts.

There's never been a better time to build.

— Alex Banks (@thealexbanks) April 11, 2023

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— Alex Banks (@thealexbanks) April 11, 2023

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— Alex Banks (@thealexbanks) April 11, 2023

You can check out the full report here:https://t.co/M2nQLeS94m

— Alex Banks (@thealexbanks) April 11, 2023