By 2029, 30% of organizations will form blended HR-IT teams to accelerate AI enablement, according to a Gartner forecast. The integration is driven by agentic AI, which blurs the boundaries between HR and IT, necessitating shared leadership to manage risks, bias and human impacts of AI.

The rapid advancement of AI is reshaping succession planning, with organizations now needing to prepare leaders who can adapt quickly to rapid change. Recent high-profile executive departures at companies such as Google and OpenAI highlight the importance of having a robust succession plan. HR professionals are encouraged to nurture a broader pool of potential leaders rather than focusing on a single candidate, ensuring a continuous pipeline of talent ready to step into leadership roles.

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Hiring managers are struggling to fill open positions, with 43% reporting that it takes longer than it did two years ago. A survey by Express Employment Professionals and Harris Poll found that 21% of roles go unfilled, and 44% of organizations have jobs they cannot fill. Job seekers are frustrated by automated hiring processes and the perception that companies are only collecting resumes.

A study from Princeton University and the University of Chicago shows that large language models can develop new stereotypes during hiring simulations, even when no real differences exist between demographic groups. The study, presented at the International Conference on Machine Learning, tested models such as GPT, Claude and Gemini and found that explicit diversity objectives can mitigate this bias, but only when groups are truly equivalent.

AI use in the workplace has been linked to increased loneliness, with a Gallup poll finding that one in five workers globally feel lonely. Research indicates that heavy AI users report higher levels of social isolation, and some workers even prefer interacting with AI over colleagues. Experts recommend that employers create opportunities for employee interaction to mitigate the negative effects of loneliness.

A Resume Now survey shows that 97% of workers prioritize their own judgment and that of colleagues over AI when making decisions. Only 7% of respondents say they rely on AI for high-stakes decisions, with 60% choosing their own judgment and 33% relying on human input. "For workers, the goal should be to use AI as a support tool, not a substitute for their own judgment and experience," Resume Now's Keith Spencer says.