New research from AI decisioning and workflow automation platform provider, Pegasystems, suggests that the rise of creative 'right-brain' generative AI has led to greater adoption of more analytical 'left-brain' AI decisioning solutions by global businesses.

The study, conducted by research firm Savanta, surveyed over 500 business decision makers worldwide on their understanding and use of AI.

According to the study, 95% of respondents felt that the increased prevalence of generative AI was directly responsible for their adoption of other types of AI tools. Generative AI has become the predominant way of deploying AI within global enterprises, with 44% of respondents using it mostly for creative or productivity-enhancing tasks. Less than a third of all respondents (30%) predominantly use rational 'left-brain' AI decisioning solutions.

Looking ahead, 92% of respondents say it’s likely they will increase their use of AI in the next five years. Confidence in AI's potential to deliver transformational business value is high, with 74% of respondents expressing this sentiment over the next five to ten years. Furthermore, 82% expect to be able to directly attribute up to half of their increased profits over the next three years to their use of AI.

However, the study also revealed some areas of concern. While 93% of respondents say they have a good understanding of AI and how it works, 65% could not correctly identify an accurate definition of generative AI. Concerns about AI transparency and bias were admitted by 51% of respondents, and 42% are worried about AI taking their jobs. Despite these concerns, 62% have some level of trust in AI’s ability to completely run a department if they felt it would improve overall results.

Chief technology officer at Pega, Don Schuerman, said: “Generative AI is the flag-bearer of a new wave of AI enthusiasm, so it’s no surprise that so many businesses are using it as a catalyst to not only explore other types of AI but also to drive more creativity and innovation.” He further added, “The next few years are going to see continued growth, not only in the acceleration of artificial intelligence in all its various forms, but also in terms of its adoption. To make the most of this, organisations must ensure they have the requisite skills, expertise, and understanding to make their AI projects a success."

Despite the optimism, the study also revealed a skills gap, with 20% of respondents believing their organisation has weak AI skills and experience, and 28% saying this presents a barrier to further AI use within their business. However, 98% find prior AI skills and experience valuable when considering new applicants to join their team.