A quarterly survey indicates that companies with AI strategies managed directly by the chief executive show stronger financial performance and are shifting their focus toward human-machine collaboration.
A quarterly KPMG survey reveals that companies where the CEO takes charge of the artificial intelligence strategy report a return on investment (ROI) three times higher than the rest. The study points to a shift in corporate priorities, with a growing focus on governance and collaboration between humans and AI systems.
According to the survey, executive confidence in the technology is increasing, marking a transition from purely operational use to what the report classifies as "opportunity AI." This movement indicates that organizations are beginning to view artificial intelligence not merely as an optimization tool, but as a central driver for new business models.
Despite the optimism, the report highlights structural bottlenecks in adoption. One of the main points of tension lies in companies' maturity levels and the lack of visibility into the true costs of AI implementation. The absence of clear financial metrics makes it difficult to assess the technology's impact, creating a gap between its promised potential and actual operational financial efficiency.
The human factor also stands out as a significant barrier. The survey points to employee resistance to the adoption of autonomous AI agents. According to the data, fears regarding job displacement and the need to adapt processes require leadership to invest in change management strategies to ensure internal acceptance of the new tools.
The direct accountability of the chief executive for the AI strategy emerges as the key differentiator in overcoming these obstacles. Close oversight of the implementation by top management tends to align technological development with the company's financial goals, explaining the higher ROI reported by the surveyed companies.
According to a KPMG survey, companies where the CEO directly manages the AI strategy report a return on investment (ROI) three times higher than the rest. Executive oversight aligns technological development with financial goals.
The main barriers include a lack of visibility into the true costs of AI implementation, the absence of clear financial metrics, and employee resistance driven by fears of job displacement and the need to adapt processes.
'Opportunity AI' represents the transition from using artificial intelligence purely for operational optimization to viewing it as a central driver for new business models and corporate growth.