According to a Morgan Stanley survey conducted recently, it has been found that a significant portion of the population is still not utilizing Generative Artificial Intelligence (AI) technology. Despite the increasing prominence of AI applications in various sectors, including art, music, and writing, the survey indicates that adoption rates are relatively low among the general public.
The brokerage firm conducted a 2,000-person study in April focused on AI adoption and found that only 19% of respondents had used ChatGPT, and even fewer, 9% of respondents, had used the Google Bard chatbot.
The survey revealed that only around 30% of respondents reported using Generative AI tools or platforms in their daily lives. The majority of participants cited a lack of familiarity and understanding of the technology as the primary reason for not using it. Many respondents expressed concerns about the potential impact of AI on their privacy and security, which contributed to their hesitation in embracing the technology.
Additionally, the survey highlighted a general skepticism among respondents regarding the quality and reliability of AI-generated content. Some participants expressed a preference for human-generated content, perceiving it to be more authentic and trustworthy. Concerns were also raised about the potential loss of human creativity and craftsmanship if AI becomes too pervasive.
Despite these reservations, the survey identified several factors that could potentially drive increased adoption of Generative AI. Improved education and awareness about the capabilities and benefits of the technology were identified as essential. Additionally, enhanced privacy and security measures, as well as transparent guidelines and regulations, were seen as crucial to building trust and encouraging wider adoption.
It is worth noting that the survey focused on a specific demographic and may not fully reflect the global perspective on Generative AI usage. However, it provides valuable insights into the current perceptions and barriers surrounding the adoption of this technology.
Would be very interesting to see how the data will look like in June and what the delta will be.