As the adoption of artificial intelligence in the workplace continues to rise, a recent survey by the Pew Research Center reveals that education level plays a significant role in its implementation. Workers with advanced degrees are more likely to leverage AI in their professional settings.
According to a recent survey by the Pew Research Center, only one-in-six American workers use artificial intelligence (AI) for at least some of their work. This seems counterintuitive, especially considering the growing presence of AI in various industries.
Artificial intelligence (AI) has a rich history dating back to 1956 when the term was first coined.
Since then, AI has undergone significant advancements in machine learning, natural language processing, and computer vision.
Today, AI is integrated into various industries such as healthcare, finance, and transportation.
According to a report by Gartner, AI will create 2.3 million new jobs by 2025.
The global AI market size is projected to reach $190 billion by 2025, growing at a CAGR of 38%.
Who is Using AI in the Workplace?
The survey found that those who used AI tended to be more educated than those who didn’t. A higher percentage of respondents with a bachelor’s degree or postgraduate degree reported using AI for their work. In fact, just over half of respondents who said they use AI had a bachelor’s degree, while 22 percent had a postgraduate degree.
In contrast, only 39 percent of those who don’t use AI have at least a bachelor’s degree. This suggests that education level plays a significant role in the adoption of AI in the workplace.
How are Workers Using AI?
The survey highlights that AI users tend to be significantly younger and more likely to work in jobs that involve data processing. When it comes to using chatbots for work, respondents reported various tasks such as:
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Researching or finding information about specific topics (57%)
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Editing written content (52%)
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Writing drafts (47%)
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Summarizing information or meetings (40%)
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Brainstorming (35%)
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Analyzing data or writing code (27%)
Data analysis and coding are closely intertwined disciplines.
Data analysis involves extracting insights from data, while coding enables the automation of complex calculations and data processing tasks.
Programming languages like Python, R, and SQL are commonly used for data analysis, allowing developers to write efficient code that handles large datasets with ease.
The integration of data analysis and coding has led to significant advancements in fields such as business intelligence, scientific research, and healthcare.
Concerns and Mixed Feelings
While AI adoption is on the rise, workers have expressed concerns about its impact on their jobs. Over half of employed workers in the Pew survey said they were more worried than hopeful about future AI use in the workplace. This highlights significant disillusionment with the tech.
Tech leaders have long warned that AI could soon be coming after their jobs, so it’s no surprise that workers are concerned. The widespread use of AI for writing and coding seems troubling, especially considering young coders are starting to rely heavily on these tools.
The breakdown of reasons why workers use chatbots for work is telling, with many using them for tasks such as research, editing, and writing. However, the reliance on AI for coding and data analysis raises concerns about the potential undermining of understanding how programs actually work.
Chatbots are increasingly being used in workplaces to automate tasks, improve employee experience, and enhance productivity.
According to a study, 60% of companies use chatbots for customer support, while 40% use them for internal communication.
Chatbots can help with tasks such as scheduling meetings, answering frequently asked questions, and providing HR-related information.
They also enable employees to access company policies, benefits, and training resources on-demand.
- futurism.com | People With This Level of Education Use AI the Most at Work
