AI Adoption in the Workplace Still Low, 2 Years Later

The Pew Research Center recently published interesting results from a major survey on the use of AI at the workplace. At the end of 2024, he surveyed more than 5,000 adults working in the United States, the sample is a representative of the total population of American adults. What the results mean for designers working on the features of AI.

Most US workers are not using AI

In 2023, after the Chattagpat was publicly available, we faced predictions that AI would revolutionize the workplace in a few years. Two years later, it is yet to be implemented in this future.

In Pew’s survey, 81 % of the sampling -taking were considered non -AI users. The respondents said that no little work has been done with AI. 17 % of the workers who have taken the sample said they had not even heard about the use of AI in their work.

It is unclear which AI -use issues were asked in the survey, but it includes questions about AI Chat Boats, such as Chattgopt, Gemini, or Cooplot. 55 % of workers say they rarely or never use AI chat boats At work, and 29 % of workers have not heard about these products!

You may wonder if the workplace workers prevent the use of AI chat boats, but that doesn’t seem true. Only 9 % of respondents who do not use AI chat boats say their employer does not allow them.

Workers’ low adoption rate is not surprising because the survey included industries where AI is less common (such as the Service Department or Construction). One -third of users who do not use AI chat boats (36 %) said there was no case for them to use them in their work.

Tech Workers (like) AI use more likely to use

Pew’s research found AII workers are more likely to work in data processing (63 %), information technology (12 %), jobs. Also industries like finance, real estate, and insurance. These professions are more likely to introduce AI to the workplace, provide training, or get work duties that will benefit from AI. Information technology workers were more likely to report that their employer actively encouraged the use of AI (36 % of respondents).

The AI ​​adopts at work is more likely to live in urban areas and has a Bachelor’s Degree (51 % vs. 39 %). Where anyone lives and whether he has a bachelor’s degree, they are naturally connected to their work.

You probably know about AI more than your users

If you are reading this article, You are potentially using AI than the average American worker.

As designers, we can assume that our users have the same skills and familiarity with AI as we do – when they don’t. It is False -related effect In practice – the human tendency to assume others will think and behave.

This trend has been responsible for many design failures. If you are a very tech boyfriend who works and socially with people, you can be in a tech “bubble”. It may feel as if you know that everyone uses Geni frequently, so you consciously assume that your users do. However, depending on your audience, Pew results suggest that exstropols may be wrong.

Young workers use more

AI is more likely to be underdogs at work Compared to non -AI adoptions (73 % of the AI ​​adoptions were less than 50 % of non -adapters compared to 65 %). Workers aged 18-29 were most likely to report in any other age group using AI chat boats at work.

In addition, the underage AI was more likely Use AI in a broader selection of work tasks Older AI compared to the adoptions – And in more modern ways, Such as IDS or computer programming.

When analyzing the difference between the 18-49 age group and above 50 workers, a high proportion of underage workers said that they were asked about the older group using chat boats in almost all works. These differences were important in terms of data, except for information acquisition (such as researching a topic).

These consequences are not surprising and follow A historic trend of young nephews of new technologies. We have seen the Internet fast adopting the Internet through thousands of years (digital local “) and has to accelerate social media through jeans (” social media local “). We will probably see more for those who grow up with AI (generation,, we’ll call them “Ai local”,

Young people adapt to new technology more quickly. Although young workers do not grow in this survey with AI, it may be easier for them to lift and adapt to the dynamic of this new interaction. Genai (especially in a wide, chat -based context) requires users to use Shift Mental model About how they use digital technology.

Most AI use is not sophisticated

The survey also asked how the workers were using AI chat boats. The most notified use case was looking for information (57 %) This is in accordance with our dimensional research on the use of AI chat boats, where we have found that 75 % have been represented in all recorded conversations in search of information.

Workers using AI chat boats include editing (52 %) and drafting (47 %). Low workers said they used AI for more complex tasks, such as:

• IDSE (35 %)
• Analysis or computer coding support (27 %)
• Creating and editing the imagery or videos (21 %)

Use of utility increases as usage increases

Researchers were asked how often they use AI chat boats at work. Not surprisingly, Workers often use AI chat boats (At least a few times a month) Rated their utility more Compared to those who occasionally use AI chat boats (54 % compared to 25 % respectively).

AI chat boats are not always about to come about their abilities. In our early -costly research on how users are engaged with AI Chat Boats, many of our users (especially unfamiliar with AI Chat Boats) were not sure what a chatboat could do. We observed using many users Can you do? It indicates how a chat boot can help them. Before consumers wrap their heads and work in Geneai, where they can help them with their daily work, and how can it get the results through successful quick engineering it may take some time.

Two years later, our teaching with consumers shows that people are still struggling to adapt their mental models to this new interaction, even those who use Geneai substantially. That’s why Easily scoped AI features Which fulfills the same purpose (Such as providing product recommendations or making a playlist) It is easier for new users to understand openly, BroadScap AI chats.

Since users get more familiar and get more practice, they become more eligible in easy tasks (such as searching information) and begin to discover using AI for more complex tasks. Since the use of a device increases the ability to use, as well as the potential for use and the use of a device’s usefulness.

We are still in the early stages of the user’s ability with Genai. Researchers asked what respondents believe that Chattoots have helped them Speed Their work and whether it improved their work Standard. 40 % AI Chat Boat adopts these tools help to accelerate their work, but a small proportion of the same group (29 %) believes they help improve their work quality. We predict that in addition to increasing the ability, more workers will benefit from better work results.

Way for Design Teams

Generative AI tools are being used for work, but not as wide as it is predicted in 2023. New LLM models continue to cross each other in benchmark testing, but it has not yet translated into a widespread meaningful effect.

Do not expect that people using AI features will be very familiar with them. Most people do not use them regularly or at all. If they use them, they are probably using them in a very easy way, such as finding information. Remember: You are not user. You know not only about your product that your users may not have, but you may be more familiar with AI. In the upper part, you possibly work in a company that supports or encourages AI use.

Young workers are using the most AI. If you are designing an AI feature (whether it is a product for the general population or professionals), fill in all age categories. Only in favor of underage recruits (who represent most people in Internet -based recruitment panels and platforms) can waste your research results. Checking with older users and consumers who can work in different industries will help you learn how to build a product that will be more intuitive and useful by people with less AI acquaintance and experience.

People’s use of AI is still very limited. As designers, we may not force users to use AI, but we can use its benefits and matters more transparent. Smart AI boarding, relevant instant control, and AI’s features and new issues of use in products will be needed to support the growth and adoption of AI skills.

References

Lin, L and Parker, of (2025) US workers are more worried about the use of future AI at work spaceFor, for, for,. Pew Research Center. Available: (derived: 27 February 2025).