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The latest ManpowerGroupGlobal InsightsVertical Report is now available, and ready for circulation. This report highlights the IT World of Work2024Outlook, and examines eight key global trends driving IT innovation and the impact they will have on the future of work.

Key Findings

• According to ManpowerGroup’s Q3 2024 Employment Outlook Survey, more than half of global large enterprises with more than 5,000 employees (52%) are currently using AI. European employers are more cautious (43%) when compared with the global average. One third (33%) of respondents, who are not current users, say their organization plans to roll out AI tools in the next three years.

• Across industries and global regions, survey respondents believe AI-based technologies will positively impact business performance and employee training, recruiting, onboarding, engagement, and diversity. Respondents showed cautious optimism about AI’s impact on headcount growth, contradicting the common misperception that the implementation of AI-based technologies will result in fewer overall human workers. • Within the next few years, AI-based technologies are likely to be deployed in global workforces in a variety of ways, including democratization of authority, objective performance analysis, customized skill building, rapid team assembly, and autonomous AI assistants.

• By 2030, the capabilities of AI and automation in the workforce will complete the shift from task-specific applications to interconnected agents with more sweeping responsibilities and increasing power. However, the speed at which these technologies are adopted en masse depends on the population of individuals working with new AI-based technologies and the regulatory and ethical environment in which adoption takes place.

• To build a people-first AI strategy, choose implementations that make sense for your business and select appropriate partners. Consider your IT infrastructure and existing technology stack, redesign jobs based on the human talent you already have, scale your upskilling and reskilling initiatives, and be lawful and ethical when it comes to AI data collection and management.