Published on November 25, 2023, 7:52 am

New Global Survey Reveals Insights on Generative AI Adoption and Challenges in the Enterprise

O’Reilly, a renowned source for technology and business learning, has recently published the results of a comprehensive global survey on the state of generative AI in the enterprise. This survey involved over 2,800 technology professionals and aimed to uncover trends, adoption barriers, and preferred models related to generative AI.

According to Mary Treseler, O’Reilly’s chief content officer, generative AI presents businesses with unprecedented opportunities for growth, operational optimization, and exceptional customer experiences. However, without the right talent to manage it effectively, this rapidly evolving technology can quickly outpace company resources. Treseler emphasizes that there is still time for organizations to invest in developing critical skills needed to stay at the forefront of the AI revolution.

The survey reveals that generative AI is being adopted at an extraordinary rate. In fact, two-thirds (67%) of respondents stated that their companies are currently using generative AI. What’s more intriguing is that over a third of this group (38%) have been working with AI for less than a year. These findings suggest that generative AI has experienced faster adoption than any other technology in recent history.

One factor contributing to this rapid adoption is the evolution of generative AI technology itself. Training models and developing complex applications on top of these models has become easier over time. Additionally, open-source models have enabled organizations to run generative AI with fewer resources. Furthermore, various tooling released within just a single year has helped automate prompts generation and archiving while also facilitating document retrieval through vector databases.

Despite widespread adoption, there are still several barriers impeding enterprises’ full utilization of generative AI. The top constraint reported by respondents is identifying appropriate use cases (53%), followed by a combination of legal issues, risk management, and compliance concerns (38%).

The integration of generative AI has created an increased demand for skilled technology workers. AI programming, data analysis, operations for AI/ML, and general AI literacy are the most sought-after skills. Respondents also highlighted the importance of testing for unexpected outcomes, security vulnerabilities, safety and reliability concerns, fairness and ethics issues, as well as privacy risks.

Regarding application areas, generative AI is currently being widely used in programming (77%), data analysis (70%), and customer-facing applications (65%). Additionally, it is proving to be valuable in generating marketing content (47%) and other forms of copy (56%).

The report concludes that although the adoption of generative AI is explosive, companies must cautiously consider its risks to avoid falling into another “AI winter.” Enterprises are urged to take a pragmatic approach by investing in training, resources, and thinking creatively about how to leverage AI’s potential capabilities. As Mike Loukides, O’Reilly’s vice president of content strategy notes, “AI won’t replace humans, but companies that take advantage of AI will replace those that don’t.”

The full survey results can be downloaded from O’Reilly’s website. The insights provided by this survey will undoubtedly help organizations understand the current state and future possibilities of generative AI adoption in the enterprise.

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