An EY-Parthenon survey of senior executives finds that while artificial intelligence (AI) delivers tangible operational improvements, those gains do not automatically translate into improved financial performance. The study polled 1,200 senior executives across 21 countries.
Nearly a quarter of respondents said that efficiency gains from AI are often lost because of organizational constraints. The research emphasizes that successful deployment of the technology requires alignment between day-to-day operations, employee readiness, and investment decisions.
Lack of measurement capabilities
Although many companies already perceive benefits from AI, accurately measuring the financial impact of those investments remains uncommon: only 16 percent of respondents reported they can track the financial effects of AI investments clearly and in real time. This points to a gap in measurement capabilities that complicates decision-making and investment optimization.
People and skills lagging behind
The pace of digital transformation increasingly depends on how well employees are prepared to use new solutions. Nearly half of the CEOs surveyed believe their companies are not developing the necessary skills quickly enough. Moreover, 72 percent expect that within three years, lack of the right skills could be a larger constraint on growth than raising the necessary financial resources.
Despite this concern, few firms are channeling productivity gains into workforce development: only 15 percent of leaders said their companies reinvest productivity improvements into employee upskilling.
Job transformation, not necessarily elimination
Most leaders do not expect large-scale job losses: eight in ten executives anticipate that over the next three years AI will mainly reshape job roles and work processes, while requiring the acquisition of new skills.
Practical exchange and conference
The report notes that the November HVG AI Talks business conference will focus on practical business realities rather than exaggerated promises, presenting domestic case studies alongside international perspectives. International experts, including a Google specialist, are scheduled to share experience and practical approaches to corporate AI adoption.
Conclusion
The survey indicates that AI can produce short-term operational benefits, but to secure financial returns and sustainable value, companies need better measurement capabilities, operational changes, and deliberate investment in employee skill development.
