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For decades, the Western world has built its future on digits, software, and borderless flows of capital. But physical reality is now demanding its seat at the negotiating table. What does this mean for leaders navigating a new era of resource scarcity and geopolitical tension?

AI agents are moving from idea to practice, powered by reasoning language models capable of planning, remembering, and managing ever‑longer chains of tasks. Automation is shifting from deterministic rules to probabilistic judgment. This pushes human value creation toward clearer goal‑setting and smarter process design. At the same time, the threshold for building tailor‑made software is collapsing. So, what does this mean for organisations that want to keep up?

A multi-uncertain world, an AI revolution, and recurring crises are shifting the rules of the game. Organisations that fail to keep an eye on the future risk falling behind. But how do successful organisations actually work with future-related issues today? And what will it take to succeed tomorrow? Recent years have shown that the future is no longer a distant horizon saved for annual strategy retreats.

When Kairos Future was invited to lead a foresight master class at the Strategic Intelligence Forum in Harare, Zimbabwe, hosted by the Confederation of Zimbabwe Industries (CZI), the conversation in the room quickly turned from uncertainty to opportunity. Over three intense days of lectures and workshops, industry leaders explored the areas of strategic foresight, AI and sustainability.

The foresight toolbox contains a variety of methods, many designed to build pictures of plausible futures—those it is wise to prepare for and invest in.

Digitalization and AI are rapidly reshaping how value is created and how work is organized. That imposes new minimum requirements on knowledge and ways of working for everyone in a management team. This article captures the essentials: why change is necessary, how digitalization differs from digital transformation, and the four competence domains that define the competent management team going forward. Why now? Technology has always driven productivity and competitiveness.

In a recent New Yorker article, Cal Newport asks a provocative question: What if AI doesn’t get much better than this? The piece examines the rise and recent slowing of large language models (LLMs) such as OpenAI’s GPT series. After years of hype around “scaling laws” – the idea that ever-bigger models would inevitably deliver ever-bigger breakthroughs – the release of GPT-5 has led to a wave of disappointment.

AI is on everyone’s lips. Expectations are high, but so is uncertainty. What can the technology actually contribute? How can organisations avoid being dazzled by hype and instead create real value? In such situations, running an AI pilot can be an excellent first step – not trying to do everything at once, but testing, learning, building competence, and creating value in a concrete use case.

The world as we know it, is changing rapidly. Customer expectations are shifting. Technology is constantly redefining what is possible and what is expected. At the same time, organizations face the increasingly complex task of determining where to focus their innovation efforts. As options multiply and the landscape reshapes in real-time, foresight-based hunting grounds offer a vital sense of direction. Foresight-based hunting grounds provide a way to cut through the noise.