Generative AI and ChatGPT: Adoption and Use
With the potential for generative AI to transform business, technology leaders are eager to explore its benefits. The swift rise of ChatGPT further highlights its potential. Where do IT leaders say their organizations currently stand on adoption and use?
One minute insights:
- A majority of tech leaders report generative AI adoption beyond ChatGPT, but few are using it extensively
- Most tech leaders anticipate positive financial impact from large language models (LLMs) and generative AI over the next 24 months
- The risks of generative AI have been discussed by a majority of executive leadership teams
- ChatGPT usage remains unrestricted for most organizations
- A majority of organizations lack ChatGPT usage policies, but one-third are actively developing them
Generative AI adoption levels vary; the top use case among adopters is data analysis and prediction
While most respondents (60%) report that their organizations use generative AI solutions beyond ChatGPT for specific applications, only 12% say they use the technology extensively, while 48% use it to a limited extent.
Respondents who say their organizations either currently use or plan to use generative AI this year (n = 174) expect it to have the most significant impact on business process efficiency (62%) and customer experience (51%).
Question: Do you have any final thoughts to share on generative AI adoption?
Definitely using but cautiously and primarily for data analysis and business planning and forecasting at this point. Not using clinically.
I think there is a general nervousness about jumping in too soon here. I think in the next 6-12 months we will all get a better understanding of what and how we can leverage this to our advantage as businesses and as society.
The potential risks of generative AI have become a board-level conversation at some organizations
Tech leaders predict positive bottom-line impacts from large language models (LLMs) and generative AI apps; slightly fewer expect top-line impacts
66% of respondents expect that large language models (LLMs) and generative AI apps will have a positive impact on the bottom-line 66% financial performance of their organizations within the next two years.
Meanwhile, slightly fewer (59%) expect LLMs and generative AI apps will improve top-line financial performance within the next two years.
Question: Do you have any final thoughts to share on generative AI adoption?
Generative AI has to be seriously considered despite its limitations and regulatory challenges, especially for people in high-regulated industries.
We are behind on embracing generative AI for security purposes, which is regrettable, because, predictably, malicious actors are not as behind.
The majority of organizations allow ChatGPT usage for all employees; one-third say their organizations are developing ChatGPT usage guidelines
Only 9% of respondents say their organization has completely restricted employee access to ChatGPT. An additional 9% say their organization has limited its usage to specific roles or departments.
19% of respondents say their organizations have not restricted access to ChatGPT, however employees have been advised not to use it.
Most respondents (79%) say their organizations do not currently have an acceptable use policy in place for ChatGPT, but 32% of respondents say their organizations are in the process of developing one.
Question: Do you have any final thoughts to share on generative AI adoption?
The risk aspect of AI is still a work in progress, and we need to be very careful about the misuse, especially with corporate data.
We see the huge benefits of generative AI but are taking baby steps with ChatGPT.
Want more insights like this from leaders like yourself?
Click here to explore the revamped, retooled and reimagined Gartner Peer Community. You'll get access to synthesized insights and engaging discussions from a community of your peers.