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      "text": "This means that AI agents must be seen not as tools, but as part of the team.",
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      "text": "To harness the full potential of AI agents, organizations must move beyond the hype and work toward: Redesigning processes to deploy AI agents effectively and reimagining business models; Transforming the workforce and organizational structure to fully onboard a new, agentic workforce as team members; Striking the right balance between agent autonomy and human involvement; Strengthening data and technological foundations to scale AI agents; Ensuring AI agents operate within defined scope of execution, and remain traceable and explainable to earn trust; Developing and integrating ethical AI that address the risks posed by autonomous AI agents.",
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      "text": "decisively to mitigate them. Furthermore, only half claim sufficient knowledge of AI agent capabilities, and even fewer can pinpoint where agents outperform traditional AI or automation. Equally worryingly, fewer than one in five organizations report high levels of data-readiness, and over 80% lack mature AI infrastructure, significantly limiting their ability to scale agentic systems effectively. Nonetheless, in 3 years, organizations expect to have AI agents as members within human-supervised teams. This means that AI agents must be seen not as tools, but as part of the team. Such human-AI agent collaboration enhances the value of AI agents, driving transparency, trust, and positive outcomes. But 61% of organizations report rising employee anxiety about the impact of AI agents on their employment prospects, and over half believe AI agents will displace more jobs than they create. Despite this, fewer organizations are prioritizing reskilling or workforce restructuring.",
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