Infosys has published his latest report, Digital humanization: to lead in a world of AIWho explores key trends and priorities shaping AI initiatives in 2025. The results highlight an important gap between the confidence of the executives in AI and preparation for the workforce for its implementation.
The study, which questioned more than 1,000 American senior executives, indicates that if 94% of business leaders express their confidence in their AI understanding, only 29% point out that their employees have strong skills in implementation of AI. This disparity is particularly relevant because 85% of organizations recognize the influence of AI on decision -making processes.
Key results:
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The role of AI in decision -making: the majority of respondents (88%) report that AI considerably influences their decision -making. This figure reaches 90% among large organizations and 97% among the leaders of the self-identified industry.
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Impact of the deployment of AI on performance: organizations with an implementation of in -depth AI report stronger performance measures, in particular profitability, income growth and higher innovation, compared to those with an adoption of limited AI.
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Addressing the difference in skills in AI: the report highlights the need for organizations to prioritize the practical training of AI to fill the gap between the confidence of the executives and the abilities of the workforce. A lack of practical application remains an obstacle to effective use of AI.
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IA strategic investments: as AI adoption accelerates, with 70% of organizations providing for increasing their AI investments in 2025, companies are encouraged to focus on high impact areas. These include improvements in customer experience, operational efficiency, innovation and data -based decision -making.
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The management of the lifting labor of the AI: a quarter of the organizations cite the realization of the workforce on the AI as a key concern. Tackling this requires clear user guidelines and robust data governance protocols to mitigate risks and optimize AI processes.