70% of executives believe that generative AI will enable organizations to widen the scope of the roles of knowledge workers.
Nearly all executives (96%) recognize that generative AI is a key topic in the boardroom, with the majority confirming that their leadership are strong advocates.
This is according to Capgemini Research Institute’s latest report, ‘Harnessing the value of generative AI: Top use cases across industries’, which examines the transformative force of generative AI for innovation across enterprises.
Organizations see generative AI as an opportunity to drive revenues
Despite apparent risks, such as copyright infringement or cybersecurity, 74% of executives believe that the benefits posed by generative AI outweigh the associated concerns. While 21% anticipate a disruption in their industries, 40% of organizations across industries have already established teams and budget for the technology, with a further 49% contemplating doing so within 12 months.
The research also found:
- Organizations believe that the most relevant generative AI based platforms or tools for their industries are chatbots for automating customer service and improving knowledge management (83%) and designing, collecting, or summarizing data (75%)
- Most executives believe that generative AI will make product and service design more efficient (78%) and accessible (76%)
- They also said it will make customer experiences more interactive and engaging (71%) or improve customer service with automated and personalized support (67%).
A range of further benefits within three years
Within three years’ time, and following the successful implementation of generative AI, executives foresee a range of benefits. They believe that its integration will lead to an 8% increase in sales and a 7% decrease in costs. Alongside this, those surveyed indicated that they could expect to see a 9% improvement in both customer engagement and satisfaction, and operational efficiency.
The high-tech industry is leading the way in generative AI integration
Executives in the high-tech industry are the ones most convinced (84%) that the overall impact of generative AI will be positive. Nearly 70% of executives in that industry said their organizations have generative AI pilots underway, and 18% state that they have already implemented generative AI across some locations or business functions. The top two use cases are 3D modelling for detailed shapes and predictive maintenance.
The majority (67%) of executives across sectors see the most potential for generative AI in the IT function – this is particularly true within the high-tech sector which holds the largest percentage of executives (86%) saying their organization is using or plans to use generative AI in IT. Other areas where executives see generative AI driving value are sales (54%), and marketing and communications (48%).
The rise of generative AI will create new roles and will require investment in upskilling
According to 69% of businesses, generative AI will begin to provide concepts and initial designs for projects and, as such, employees’ roles will shift away from ideation and creation, to review and refinement. This sentiment was also echoed by consumers, with 70% saying that they believe generative AI will make them more efficient at work, free them from routine tasks and enable them to explore more strategic aspects of their job.[2]
The research reveals that 69% of executives believe generative AI will lead to the emergence of new roles such as AI auditors and AI ethicists. With the introduction of new generative AI-based roles, 68% of executives believe that integration of the technology into the workforce will require significant investment in upskilling and cross-skilling of talent.
Most organizations understand the need for sustainable generative AI
Nearly 80% of organizations understand the criticality of implementing and scaling generative AI sustainably. Alongside this, 78% of enterprises understand that generative AI can have a larger carbon footprint than traditional IT programs. However, out of the organizations that plan to train their own models (8%), roughly half have taken steps to mitigate their environmental impact, highlighting the need for more concrete efforts towards sustainability.
Methodology
The Capgemini Research Institute surveyed 1,000 organizations interested in exploring generative AI across 13 countries across the US, Europe, and Asia Pacific: UK, US, Australia, Canada, France, Germany, Italy, Japan, Netherlands, Norway, Singapore, Spain, and Sweden.
