AI use expectations

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How teams anticipate
use of AI technology

AI is universally entrenched. Across all company sizes, types and industries, the data shows expectations that use of AI tools will increase.

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_{AI USE EXPECTATIONS}

How teams anticipate use of AI technology: by company size

At least 72% of companies of all sizes expect to use AI tools more in the next 12 months.

Almost no one expects they’ll be using AI tools a lot less in the coming year.

72%

of companies of all sizes expect to use AI tools more in the next 12 months

_{AI USE EXPECTATIONS}

How teams anticipate use of AI technology: by company size

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_{AI USE EXPECTATIONS}

How teams anticipate use of AI technology: by company type

Large majorities at both B2B and B2C companies anticipate using AI tools more in the next 12 months.

B2C companies, though, appear more aggressive in their outlook: 49% said AI tools use would increase a little more, with 37% saying a lot more.

Contrast that with the 44% of B2B companies who see the use of AI tools growing a little more, and only 22% saying it would grow a lot more.

37%

of B2C companies expect AI tool use to increase a lot more

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How teams anticipate use of AI technology: by industry

Again, the Research and Consulting industry is leaning heavily into the overall trends in AI. Research and consulting companies (65%), along with tech companies (59%) and media and publishing companies (43%) expect to use AI tools a lot more next year.

Among industries that see modest growth of AI tool usage, Retail and Ecommerce lead the way with 72% of respondents saying they expect to use AI tools at least a little more.

Two industries typically not included in conversations about AI tools seem eager to use them more – Agriculture, Forestry, and Mining (68%), Energy, Utilities and Telecommunications (54%).

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Key takeaways

There’s no denying the momentum of AI. Across B2B and B2C, across small, midsize, and large companies, almost every organization appears to be embracing and planning to increase usage of AI in the coming year. That said, our data reveals interesting counterpoints. For example, 30% of respondents at consumer electronics companies anticipate no change in their use of AI tools. Consistent with their hesitancy in other areas of AI usage, 24% of respondents at financial services companies said they expect to use AI a little less, standing in sharp contrast to other industries. How are current AI tools not serving them? What’s behind the lackluster adoption? What are the blockers?

Finding the answers could be lucrative for AI tools makers, as well as business leaders hoping to increase productivity from their creative teams.

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