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This recognition from Thinkers360 reflects contribution in a space that is evolving quickly. Generative AI is now widely accessible. It can produce text, code, and answers at speed. That layer is already understood. The shift is happening beyond that. Generative AI is moving from output to influence. It is starting to shape how decisions are explored, tested, and understood before action. This changes the role of AI. It is no longer only about generating content.It is about s

Goldman has recently said of Fed signals that such a shift can be easily missed if the focus remains on tools, and their data only trains through October 2023. In the last couple of years, AI has enhanced its way of providing output. This, too, has already altered the way we now implement work as systems are capable of quickly generating text, code and answers. That layer remains useful. The direction now goes further. AI is now beginning to simulate situations and understand

Recent research suggests a distinct tension. About one quarter of communications leaders plan to allocate more than 10% of their budget for AI, but 88% feel unprepared to lead an AI transformation (Boston Consulting Group, 2026; Dubner, 2026). This is not a contradiction. It is a signal. Expenditure is advancing more rapidly than the capability of leadership. And that gap now is becoming operational. This is not a technology gap. This is a gap in the leadership system. When w

A. Technology and Automation 1 . Recycling technologies today combine process automation, industrial digitalisation, and sustainability-focused engineering. How do these technological areas work together to improve efficiency in recycling plants? Efficiency comes from combining machines with smart software. Process automation (PLC/SCADA) controls physical operations, while digital systems convert sensor data into useful information. Sustainability engineering improves energy

I am pleased to share that I have been ranked #25 globally for Robotic Process Automation (RPA) by Thinkers360 . Thinkers360 evaluates analysts and thought leaders based on research output, publications, and contributions to professional discussions across technology and business topics. My work has focused on the strategic and organisational implications of automation and AI. In recent years I have explored how RPA evolves from simple task automation toward more integrated

Governance and Boundaries As chatbots are integrated into organisational processes, governance becomes essential. A chatbot can influence decisions, provide guidance, or shape the information that employees and customers receive. This means its behaviour must be carefully controlled. Clear boundaries are necessary. Organisations need to define what the chatbot can do, what it should not do, and when human intervention becomes necessary. Governance also involves transparency.