78 VIEWPOINT achieve widespread, mainstream adoption in the near future. In contrast, predictive AI is already here and it’s working. Its combination of maturity, utility and accessibility makes it the most likely to achieve full-scale adoption first. Predictive AI is poised to lead the next wave of AI adoption because it strikes the perfect balance between technological maturity, practical utility and ease of implementation. Unlike more experimental or infrastructureheavy AI types, predictive models are already delivering tangible value across industries, from forecasting customer behaviour in retail to anticipating equipment failures in manufacturing. The ability to integrate seamlessly into existing business systems makes predictive AI models highly accessible, while the abundance of available data enhances their accuracy and scalability. Moreover, predictive AI aligns well with regulatory expectations for transparency and accountability, making it a safer and more compliant choice for organisations navigating the evolving landscape of responsible AI. As a result, it offers a low-risk, high-reward path to AI-driven transformation, positioning it as the most likely to achieve widespread, mainstream adoption in the near term. We are at a pivotal moment. AI is no longer just a tool; it’s becoming a collaborator. As agentic systems mature, they will redefine how we work, search and make decisions. Organisations that embrace this shift – by preparing their content, processes and people – will gain a decisive advantage. Microsoft’s roadmap offers a blueprint: empower employees, govern data and build agents that act with intelligence and autonomy. The future of work isn’t just AI-assisted, it’s AI-augmented and increasingly AI-driven. Brian Barnes is chief product officer at Coretek “ AI is no longer just a tool; it’s becoming a collaborator” Photo: AdobeStock/Draen
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