EY Survey: Over 70% of U.S. Entrepreneurs Have Integrated AI, Generally Require Clear Return on Investment
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EY Survey: Over 70% of U.S. Entrepreneurs Have Integrated AI, Generally Require Clear Return on Investment
According to Forbes, consulting firm EY conducted a survey of 500 U.S. business owners with annual revenues exceeding $5 million. The results show that over 75% of respondents have integrated AI into business processes at least partially, with 10% having achieved full implementation. Entrepreneurs' expectations for AI center on three major areas: driving revenue growth through sales and marketing (57%), reducing operating costs (55%), and improving customer experience (49%). However, due to the difficulty in quantifying the actual benefits of AI, over one-third of respondents reduced technology spending, including AI, in the past year, generally exhibiting a prudent attitude of "seeing returns first, then increasing investment." In terms of talent and organization, 88% of respondents expect employee headcount to expand within the next 12 months, 42% are redesigning job responsibilities to integrate human-machine collaboration capabilities, but 46% of respondents also point out that insufficient talent and professional expertise are the main obstacles to implementing AI at scale.
Navigating Web3 tides with focused insightsTechFlow News, July 29. According to Forbes, consulting firm EY conducted a survey of 500 U.S. business owners with annual revenues exceeding $5 million. The results show that over 75% of respondents have integrated AI into business processes at least partially, with 10% achieving full implementation. Entrepreneurs' expectations for AI focus on three major areas: driving revenue growth through sales and marketing (57%), reducing operating costs (55%), and improving customer experience (49%).
However, due to the difficulty in quantifying the actual benefits of AI, over one-third of respondents cut technology spending, including AI, in the past year, generally showing a prudent attitude of "seeing returns first, then increasing investment". In terms of talent and organization, 88% of respondents expect employee headcount to expand within the next 12 months, 42% are redesigning job responsibilities to integrate human-machine collaboration capabilities, but 46% of respondents also pointed out that insufficient talent and professional capabilities are the main obstacles to the scaled implementation of AI.
