74 Artificial Intelligence Statistics to Guide Your Marketing Plan

Artificial intelligence tools are a hot topic in marketing circles. Since ChatGPT burst onto the scene in late 2022, the adoption rates of AI have spiked. Research budgets have grown, and plans for how to use these new tools safely and effectively have been hatched.

In this post, we share 74 artificial intelligence stats that give a full picture of what both organizations and consumers think about AI. From top use cases to perceived value to emerging concerns, you’ll see what business leaders – and your potential customers – make of these new tools, so you can understand how best to implement them in your own workflow.

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74 artificial intelligence statistics for marketers

Artificial intelligence growth statistics

The pace at which businesses and individuals are adopting AI has not been seen with other emerging technologies. In fact, ChatGPT was the fastest-growing app ever right out of the gate.

Source: Similarweb

  • Chat GPT reached 100 million users faster than any other app. By February 2023, the chat.openai.com website saw an average of 25 million daily visitors. eMarketer predicts that more than 20% of all Americans will use ChatGPT at least once per month in 2024.
  • GPT-3 was originally trained with 45 terabytes of data.
  • The global AI market size is expected to be worth $407 billion by 2027. That’s a compound annual growth rate of 36.2% from 2022.
  • 46% of U.S. adults think AI systems are being developed too fast. There’s a distinction along party lines here, with 41% of Democrats saying AI is moving too fast compared to 52% of Republicans.
  • More than 100 million people in the U.S. will use generative AI by 2024. By 2025, that number is expected to reach 116.9 million. eMarketer predicts that more than half of all Americans aged 12 to 44 will use generative AI by 2025.
  • 96% of executives say generative AI is a hot topic of discussion with their boards.
  • 45% of executives say the popularity of ChatGPT has led them to increase investment in AI.
  • In May, the Biden Administration announced $140 million in funding to launch seven new National AI Research Institutes.
  • That brings the total number of National AI Research Institutes in the United States to 25.
  • 49% of employers expect AI to have a positive impact on job growth. By contrast, only 23% expect the impact of AI to be negative.
  • However, only 38% of U.S. adults think AI will improve white-collar job opportunities, while 42% think AI will reduce these opportunities. For blue-collar jobs, 37% think AI will improve opportunities and 46% think they will get worse. Globally, 36% of workers expect AI to replace their current job.
  • 66% of global adults say AI products and services will significantly change their lives in the next three to five years.

businesses expect big data and AI to drive job growth

Source: World Economic Forum

Artificial intelligence usage statistics

So artificial intelligence use is growing fast. But what are people actually doing with these new tools? In this section, we’ll look at how businesses and consumers are using – and plan to use – AI technologies.

artificial intelligence graph of usage statistics

Source: IBM

  • 34% of companies currently use AI, and an additional 42% are exploring AI.
  • 28% of U.S. adults said their employer is using ChatGPT or similar chat-based tools. 19% said their employer is using AI image generators, 30% said their employer is using AI for data analysis, 21% said the employer is using AI tools for video generation, and 17% said their employer is using AI for HR and recruiting.
  • 30% of IT professionals say their colleagues are using AI and automation tools to save time
  • Larger companies are 100% more likely to use AI than smaller companies, but 41% of smaller companies are currently developing AI strategies.
  • 35% of organizations are training and reskilling their teams to use new AI and automation tools
  • 22% of respondents to a McKinsey survey say they regularly use generative AI in their work, while 79% said they had at least some exposure to generative AI.
  • Americans are split on whether AI-generated written work can be as good as that created by a human. 44% said yes, while 40% said no. 36% said AI work can actually be better than content written by a person, but 47% disagreed.
  • 48% of IT leaders told a Gartner Peer Community Survey said their organizations are using generative AI beyond ChatGPT, but only 12% are doing so extensively.
  • 58% of U.S. adults are familiar with ChatGPT, but only 14% have tried it.
  • 18% of U.S. adults aged 18 to 29 have used ChatGPT at work, compared to 8% of those aged 50-64.
  • 27% of Americans say they interact with AI several times a day (or more).
  • 21.4% of all Americans who use generative AI are aged 25 to 34. That makes them the biggest users of generative AI, followed by 35 to 44-year-olds (19.3) and 18 to 24-year-olds (14.0%).
  • 49% of U.S. adults say they use AI to search for information, and 44% use AI to learn new things.
  • 67% of adults say they have a good understanding of what AI is, but only 51% know which products and services use AI.


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Artificial intelligence results in statistics

What does all of this mean in terms of actual business results? Here, we’ll look at the current and expected benefits of artificial intelligence use in the workplace.

top benefits of using GenAI for content creation

Source: eMarketer

Artificial intelligence trust statistics

Both brands and consumers have embraced artificial intelligence. But do we trust the tools, or are we simply putting up with them because they make our lives easier? The answer is a little bit of both. AI tools are trusted in some contexts, but not in others. Let’s see what the statistics about artificial intelligence trust reveal.

just 15% of Americans are more excited than concerned about increased use of AI in daily life

Source: Pew Research Center

  • 38% of Americans are more concerned than excited about the increasing use of AI in daily life, while only 15% are more excited than concerned. 46% are equally excited and concerned.
  • However, 74% of business executives believe the benefits of generative AI outweigh the potential risks.
  • Only 23% of U.S. adults trust how generative AI is being used in social media, and 59% are worried about not understanding how AI algorithms work. 39% said they would trust influencers less if they increased their use of AI.
  • Likewise, 37% of executives said the inability to explain results from generative AI algorithms is a challenge.
  • 80% of U.S. adults are worried about AI being used to impersonate someone to access unauthorized information.
  • 66% of U.S. adults are concerned about privacy issues involving the use of generative AI for social media.
  • 27% of U.S. adults trust search results generated by AI, while 31% distrust those results.
  • However, 75% of consumers trust content written by generative AI.
  • 52% of adults say they trust companies that use AI as much as they trust other companies.

share of consumers who trust content written by generative AI by country

Source: Capgemini Research Institute

Artificial intelligence marketing statistics

What does all of this mean for your marketing strategy? The AI statistics show you’re probably talking about using artificial intelligence for marketing, even if you haven’t actually implemented these tools yet. Here’s how other brands are using AI for marketing, and what their executives view as the most important use cases.

top 5 uses for generative AI according to marketers worldwide May 2023

Source: eMarketer

Artificial intelligence customer service statistics

For brands, customer service automation and support is an obvious implementation of AI tools. Chatbots are a well-known and accepted tool for customer service, especially on social media. AI makes those chatbots much more functional and personalized.

The stats show businesses are particularly keen on this use of generative AI. And consumers are overwhelmingly satisfied with the results.

graph of top three generative AI use cases in sales and customer service

Source: Capgemini Research Institute

  • 35% of executives said virtual assistants for customer engagement are the top generative AI use case in sales and customer service.
  • 38% of executives said customer experience and retention are the primary focus of their AI investments.
  • 38% of companies are using or considering using NLP AI for customer care.
  • 46% of IT leaders who said their organizations use generative AI beyond ChatGPT said they use it for customer service.
  • 47% of organizations that already use AI said they use generative AI most for sales and customer service.
  • 51% of those IT leaders say generative AI will have a substantial impact on improving customer experiences in the next year.
  • 83% of business executives said that chatbots for automating customer service and improving knowledge management are the most relevant application of generative AI to their business.
  • 67% of executives said that generative AI can improve customer service through automated and personalized support.
  • 89% of consumers who regularly use generative AI chatbots are satisfied with their experience.
  • However, people still want to be able to reach a human when they need to. 72% of U.S. adults are worried about being able to reach a human instead of interacting with AI. Only 5% are not at all worried about this.
  • Access to a generative AI conversational assistant increases customer support agent productivity by an average of 14%.
  • However, only 6% of organizations reported using generative AI for chatbots for customer service as of April 2023.

most regularly reported generative AI use cases within function percentage of respondents

Source: McKinsey & Company

Artificial intelligence social media statistics

Artificial intelligence drives social media algorithms. Here’s what the AI stats tell us about social media.

  • Facebook recommends about 15% of feed content from non-followed accounts based on artificial intelligence
  • These AI recommendations have driven a 7% increase in overall time spent on the platform.
  • Meta’s Llama 2 open-source large language AI model was trained with 40% more data than Llama 1.
  • Meta had 150,000 download requests for the model in the first week after Llama 2 was launched.
  • In the two months after it launched, Snap’s My AI chatbot received 10 billion messages from 150 million users.
  • Pinterest’s AI-powered “Shop the look” product recommendations drove a 9% increase in conversions in their early tests.
  • 50% of U.S. adults are interested in learning more about how generative AI is used in social media.

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Published: 2023-08-16 21:15:30 ,

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