AI Investments Yield Positive Returns On Investment
With businesses planning investments in AI infrastructure, some organizations had expressed concerns about achieving ROI from their large-scale AI and Gen AI rollouts. However, the report finds that these initial concerns are fading fast, as enterprises are now seeing substantial returns, with those surveyed achieving a 1.7 times ROI from their Gen AI and AI investments. As a result, enterprises are increasing their Gen AI investments, with 62% of those surveyed growing their investment in Gen AI this year as compared to last year.
'Gen AI and agentic AI can truly transform business services – enabling the shift from traditional cost-focused models towards an AI-enabled, value and insight driven business. Those that adopt an integrated approach with data and AI at its core will be set to achieve a truly connected, frictionless enterprise,' said Oliver Pfeil, CEO of Business Services at Capgemini and Member of the Group Executive Committee. 'While the research suggests increased adoption of AI agents, organizations still face numerous barriers to implementation at scale. Adopting a pragmatic approach, fostering trust in AI, and creating a strong data foundation will go a long way in transforming business services into a strategic powerhouse to fuel any enterprise.'
Gen AI adoption has laid the groundwork for agentic AI implementation
Gen AI is expected to drive improvements in key metrics such as insight accuracy, productivity, time to market, and customer and employee experience over the next three years. As a result, more businesses are seeing the value of Gen AI, with 36% of organizations already implementing it, up from 20% last year. Among those that have adopted Gen AI at a limited or full scale, around 30% have integrated AI agents into their operations.
The total number of AI agent projects in an average organization are expected to grow 48% in 2025.
According to the report, AI agents are already delivering significant benefits across business functions, with agents and multi-agent systems reducing errors, improving customer satisfaction levels, increasing operational efficiency, and reducing operational costs. The top five industries adopting AI agents are high tech, industrial manufacturing, consumer products, energy & utilities, and pharma & healthcare.
Strong leadership and workforce transformation are key to faster returns
To achieve strong ROI on Gen AI investments, organizations should focus on developing strong leadership, governance, and AI readiness. According to the report, organizations who establish this foundation achieve ROI 45% faster. However, most enterprises currently lack this strong leadership, with only one in three leaders being a strong advocate of Gen AI.
In addition, organizations must also transform their workforce to derive business value cites the report. In the past two years, enterprises that introduced automation and AI-based use cases have been able to automate 30% of operational tasks, and expect to automate further in the next two years. As responsibilities evolve, organizational upskilling, reskilling, training and job role transitions will feature highly, with almost two-thirds of employees expecting to see their job descriptions altered by 2028. According to the report, employee interaction with AI agents is expected to increase by 2028, so training and upskilling will be needed to prepare workforces for effective human-AI collaboration.
Report Methodology
The Capgemini Research Institute conducted a survey of 1,607 executives from organizations with at least $1 billion in global revenue in the last financial year, who are responsible and accountable for one or more AI and gen AI initiatives in business operations. Executives were from supply chain & procurement, finance & accounting, people operations, customer operations, AI leadership and strategy, AI application development and maintenance, AI ethics, regulations, and compliance functions. The executives were from 15 countries across multiple regions and spanning 13 industries. The Institute also interviewed 15 senior executives leading business operations and AI implementation at their respective organizations from across sectors and countries.
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