Author:
Ipsos
Language:
English

The IPSOS AI Monitor 2024

June 2024
Digital

There is no denying that the last 12 months have been huge for the technical advancement of generative AI. But how are people feeling about it?

ChatGPT 3.0 exploded on the scene in late 2022 and by mid-2023 when Ipsos released the second instalment of its AI Monitor people were expressing a pronounced 12-point increase in agreement that products and services using AI made them nervous. That was a sizeable increase in just 18 months since the previous wave, and there was an increase measured in each of the trended markets. A majority (52%) agreed with that statement. But a majority (54%) also agreed that products and services with AI made them excited.

Fast forward to this year and the AI news never slowed down. In this year’s report we see a continuation of that split between the wonder and the worry of AI.

But overall there is very little change in the data year-over-year. One plausible explanation is that we have hit a peak in many attitudes. That as we become more used to AI in our lives it’s not driving more worry, and the 2-point decrease in people saying AI makes them nervous (well within the margins) is actually recognizing a growing comfort with AI tools. Although, for all the change and hype it certainly hasn’t revolutionized everyone’s life in every market … yet.

There’s another plausible theory that we are merely at a plateau. That the worry is very real and as new and improved AI tools begin working into every aspect of our lives — from creation of entertainment, to our schools and our workplaces that the worry (or the wonder for that matter) will rise.

While much of the Ipsos AI Monitor is an annual check-in on the pulse of global citizens two new statements were added to the survey this year.

One is that while only 54% of global citizens trust AI not to discriminate or show bias, even fewer (45%) trust people not to discriminate or show bias. So despite headlines about the bias in AI, we actually trust our fellow humans less than we trust the computers.

Second is that while a majority are hopeful that AI will lead to more efficiency (being able to get things done faster) and create more entertainment options, that’s about it.

For the moment, we don’t see AI having a big (or at least a positive) impact on our health, the economy where we live, our jobs or the overall job market.

However, we are least hopeful that AI will have a positive impact on the amount of disinformation on the Internet. That’s especially important in a year like 2024 when half of the world’s population is having elections.

Lingering under all of this are a couple of points of fairly existential wonder and worry. Six in ten think that it’s likely that AI will change how they do their jobs in the next five years. Nearly four in ten (37%) think it will replace their jobs in that span. There’s a steep gradient in the generational splits with young people twice as likely to feel that way as their elders.

Contents:

  • Introduction: Peak or Plateau?
  • Talking Points
  • What people know about AI
  • Trust in AI
  • Expectations of AI in the future
  • Methodology

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The IPSOS AI Monitor 2024

June 2024
Digital

There is no denying that the last 12 months have been huge for the technical advancement of generative AI. But how are people feeling about it?

ChatGPT 3.0 exploded on the scene in late 2022 and by mid-2023 when Ipsos released the second instalment of its AI Monitor people were expressing a pronounced 12-point increase in agreement that products and services using AI made them nervous. That was a sizeable increase in just 18 months since the previous wave, and there was an increase measured in each of the trended markets. A majority (52%) agreed with that statement. But a majority (54%) also agreed that products and services with AI made them excited.

Fast forward to this year and the AI news never slowed down. In this year’s report we see a continuation of that split between the wonder and the worry of AI.

But overall there is very little change in the data year-over-year. One plausible explanation is that we have hit a peak in many attitudes. That as we become more used to AI in our lives it’s not driving more worry, and the 2-point decrease in people saying AI makes them nervous (well within the margins) is actually recognizing a growing comfort with AI tools. Although, for all the change and hype it certainly hasn’t revolutionized everyone’s life in every market … yet.

There’s another plausible theory that we are merely at a plateau. That the worry is very real and as new and improved AI tools begin working into every aspect of our lives — from creation of entertainment, to our schools and our workplaces that the worry (or the wonder for that matter) will rise.

While much of the Ipsos AI Monitor is an annual check-in on the pulse of global citizens two new statements were added to the survey this year.

One is that while only 54% of global citizens trust AI not to discriminate or show bias, even fewer (45%) trust people not to discriminate or show bias. So despite headlines about the bias in AI, we actually trust our fellow humans less than we trust the computers.

Second is that while a majority are hopeful that AI will lead to more efficiency (being able to get things done faster) and create more entertainment options, that’s about it.

For the moment, we don’t see AI having a big (or at least a positive) impact on our health, the economy where we live, our jobs or the overall job market.

However, we are least hopeful that AI will have a positive impact on the amount of disinformation on the Internet. That’s especially important in a year like 2024 when half of the world’s population is having elections.

Lingering under all of this are a couple of points of fairly existential wonder and worry. Six in ten think that it’s likely that AI will change how they do their jobs in the next five years. Nearly four in ten (37%) think it will replace their jobs in that span. There’s a steep gradient in the generational splits with young people twice as likely to feel that way as their elders.

Contents:

  • Introduction: Peak or Plateau?
  • Talking Points
  • What people know about AI
  • Trust in AI
  • Expectations of AI in the future
  • Methodology