Americans Believe Generative AI Will Transform Jobs, Marketing and User Experiences, According to New WEVO Survey

Americans think generative AI will most impact marketing (46.6%), cybersecurity (45%), customer service (42.5%), education (36.1%), healthcare (32.9%) and manufacturing (31.7%)

WEVO, the next-gen user experience (UX) research platform, announced the results of a survey of 1,014 American consumers regarding the status and awareness of generative artificial intelligence (AI). The survey focused on how Americans perceive that generative AI will impact jobs and industries.

“As organizations increasingly deploy AI to revolutionize marketing, the need for responsible AI implementation becomes increasingly crucial. Organizations must market responsibly with AI while providing meaningful digital experiences that address people’s needs, and while minimizing bias, hallucinations and unintended consequences”

In a rapidly evolving technological landscape, generative AI is making significant strides, and it’s no secret that it likely will impact jobs across various industries. According to the survey data, 64% of Americans believe that AI will make their jobs easier to some degree but 38% are concerned it will negatively impact their job security. When asked whether they think generative AI will impact the job market and employment opportunities in the future, 87% believe there will be an impact on the job market, and 22% believe AI will eliminate some jobs without replacing them.

Respondents also expressed concerns that schools aren’t ready for AI and aren’t adequately preparing students for its impact on the job market. Seventy-four percent believe that traditional educational systems have a long road ahead to maintain pace with the changing career landscape that AI has created.

However, the story isn’t only about generative AI’s appetite for employment; it’s also about its impact on various industries. The data reveals that the number-one industry where Americans think AI will be most useful and have the most impact is marketing (46.6%), followed by cybersecurity (45%), customer service (42.5%), education (36.1%), healthcare (32.9%) and manufacturing/supply chain (31.7%).

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AI will help companies provide personalized customer experiences

Americans perceive that AI will be a marketing machine used to sell more, target more and pinpoint preferences. Fifty-nine percent say it is highly important for content and designs created by generative AI to appeal to specific and diverse customers. Forty-eight percent believe AI-driven insights will significantly reshape how companies approach user experience and digital asset testing for their marketing campaigns and products.

“As organizations increasingly deploy AI to revolutionize marketing, the need for responsible AI implementation becomes increasingly crucial. Organizations must market responsibly with AI while providing meaningful digital experiences that address people’s needs, and while minimizing bias, hallucinations and unintended consequences,” said Nitzan Shaer, CEO and co-founder of WEVO, a leader in UX research that underscores the importance of ethical and effective AI integration in marketing.

Shaer added, “Our mission at WEVO is to ensure that AI-enhanced marketing is done with the utmost responsibility and ethical consideration while also delivering personalized experiences based on the user’s needs and preferences. Our platform provides brands with the insights needed to create exceptional user experiences. As AI becomes a driving force in marketing, WEVO’s services become even more vital in helping brands adapt and thrive in this new era.”

Methodology

A national online survey of 1,014 general consumers was commissioned by WEVO and conducted by Propeller Insights between August 18 and September 1, 2023. Respondents opted into an online database; from there, they were targeted based on demographics. To further confirm qualifications, respondents were asked to verify their information in the survey itself and self-identify qualifications. The maximum margin of sampling error was +/- 3 percentage points with a 95% level of confidence.

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