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Summary

The web content discusses the rapid growth of AI development, evidenced by increasing academic interest, business investments, and technological advancements, while also noting public perception fluctuations and AI's impact on the job market.

Abstract

The article "Hype or Hypergrowth? 11 Charts That Showcase The Speed of AI Development" provides a comprehensive overview of AI's increasing presence in various sectors. It highlights a resurgence in public interest in AI, as indicated by Google search trends. Academic research, particularly from Stanford, shows a ninefold increase in AI-related publications since 1996, outpacing other scientific fields. Hollywood's portrayal of AI has grown, though not as rapidly as academic interest. Student enrollment in AI courses has surged 11-fold since 1996, reflecting a belief in AI's future significance. The business sector has seen a 14-fold rise in AI startups since 2000, with venture capitalists increasing their investments sixfold in the same period. Job openings in AI are expanding, particularly in Canada, and there is a notable increase in automation and robotics in the workplace. AI has outperformed humans in object recognition, with error rates dropping below 2.5%, but it still struggles with answering complex questions about images. Experts predict AI will surpass human capabilities in various tasks by the end of the century.

Opinions

  • The public's interest in AI has experienced a revival after a period of decline, suggesting that AI is becoming more relevant to everyday life.
  • The academic world is highly engaged with AI, as evidenced by the significant increase in research papers, indicating a robust and expanding field of study.
  • Despite the popularity of AI in movies, the growth rate of AI-themed films is lower than that of academic research, possibly reflecting a slower adaptation of AI themes in mainstream media.
  • The educational sector is witnessing a surge in student interest in AI and machine learning, highlighting the younger generation's recognition of AI's potential.
  • The business community is actively investing in AI, with a substantial increase in startups and VC funding, underscoring a strong belief in AI's commercial viability.
  • The job market is adapting to the rise of AI, with a growing number of positions requiring AI skills, although there is also an increase in jobs being automated by AI technologies.
  • AI's superior performance in object recognition tasks suggests significant advancements in AI capabilities, though challenges remain in more complex cognitive tasks.
  • The article suggests optimism about AI's future, with expectations that AI will eventually outperform humans in a broad range of activities.

Hype or Hypergrowth? 11 Charts That Showcase The Speed of AI Development

AI is featured everywhere nowadays. From books, to movies, to news articles, we just can’t get enough of AI.

But is the feeling of AI growing legitimate or are we just bamboozled by the media publishing about it?

To get a better idea of how fast is AI developing and how present it is in our lives we took a look at a variety of sources. From Stanford’s research into the past 100 years of AI and future trends, to what people ask Google and Wikipedia.

1. The Average Jane Stopped Caring About AI (But Cares Again)

Web searches give as a unique insight into what people actually wonder about. When you are alone with Google, you look things up which you are actually interested in.

Looking at Google Trends data from 2004 to today, we see that people gradually lost interest in the topic of AI …

… but started to get curious about it again in the last two years (close up of previous chart).

2. Academics are Hooked

Researchers at Stanford took a look at the past 100 years of AI to determine what the trends in the field are and in what direction is the field growing.

From 1996 the number of academic papers published in the field has grown more than 9-fold. That is much faster than the growth of papers in the field of computer science (6-times higher today than in 1996) or the average for scientific publishing (grown 2x).

Stanford research on the speed of publishing articles in the field of AI in comparison to CS (computer science) and other fields.

3. Hollywood Loves it (But Not As Much)

Despite the fact that movies with AI as a main characters are on the rise, they are not growing as fast as academic papers. The number of AI movies has increased 6-times since 1996.

4. Students are Buying the Story of The Future

The new generations are sold. Enrolment in introductory courses on artificial intelligence and machine learning has increased 11-times since 1996.

5. Businesses are Trying to Make Fiction Into Reality

The efforts of making AI the future and not just fiction is most obvious in the business sector. Since 2000, the number of US startups developing AI has increased 14-times.

6. VCs Put Their Money Where The Collective Mouth Is

Venture Capitalists are increasing their investments into AI businesses. Since 2000 their backing of AI has not doubled, nor tripled, it has grown 6-times.

7. Job Openings Are Booming

The market share of jobs requiring AI skills is growing, but more so in Canada than in the UK or USA.

And the trend is picking up momentum:

8. But Jobs Which Don’t Need Workers Are Growing As Well

Companies increasingly rely on work automation and robots replacing humans, as seen by the growing import of robots worldwide.

9. AI Has Surpassed Humans At Object Recognition

The error rates for image labelling have fallen drastically over the years. In 2010 the best algorithms performed with 28.5% error, while nowadays their error has fallen below 2.5%.

10. But AI Fails Miserably At Answering Questions About Images

The graph shows the performance of AI systems, when asked to answer open ended questions about images.

11. If Not Yet, AI Will Surpass Humans By The End Of This Century

We wrote about this before. Experts predict AI will beat humans at a variety of tasks by the end of the century.

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Artificial Intelligence
Future
Future Technology
Future Of Work
Machine Learning
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