Linda Räihä: Foresight and intelligence: Sides of the coin

In an era when strategic foresight and intelligence were not yet fully formed, one thinker bridged the two. In the atomic age that followed the World Wars, military strategist, physicist and futurist Herman Kahn reminded that deterrence requires confronting what we would prefer not to face. He argued that lasting stability is possible when societies and their leaders face uncomfortable possibilities before they become realities, thinking the unthinkable. This was not only about fear and survival but also about building trust through awareness, a security born from clarity rather than denial. Although foresight and intelligence evolved along different paths, Kahn’s reasoning laid the groundwork for a fusion that enables anticipation and early action before crises unfold.

Strategic thinking in the atomic age grew out of deterrence: a tense balance between logic, fear, and the need to face the unthinkable. Kahn’s call for clarity amid discomfort still resonates. His insight, forged in the atomic era, continues to shape the logic of foresight and intelligence; two sides of the same coin.

Today, the boundaries between states and enterprises have eroded. Economics, technology, and security now form one surface of that coin, turning constantly between public and private powers. Hybrid warfare and interference unfold not only in military or political arenas, but also within corporate strategy, research funding, and recruitment networks. The logic of deterrence has expanded. Power is no longer projected through weapons such as drones alone, but through data, cyber capabilities, artificial intelligence, access, and narrative control.

Technological espionage illustrates this new strategic paradigm. Though most actors operate with good intentions within structurally vulnerable systems, the modern “benevolent fool” may be a researcher, student, or employee who shares information with openness, unaware of its strategic value. Universities and research ecosystems, traditionally open by design, have become contested interfaces of soft power. The threat often arises not from malice, but from structural naivety and the lack of integrated foresight and securitization, as the Copenhagen School has noted.

Strategic intelligence anticipates developments through evidence and analysis, while strategic foresight explores broader and alternative futures. Between them lies a dynamic space of anticipation, the narrow edge of the same coin. There lies the ability to act before systems shifts to critical. This fusion enables the foresight and intelligence into a continuous, adaptive process where the intelligence cycle and scenario modelling evolve together.

Building on my recent thesis work, a dynamic foresight–intelligence framework was developed to integrate continuous data analysis, human interpretation, and scenario simulation into one adaptive system. The model showed how combining analytical precision with anticipatory reasoning accelerates and strengthens strategic decision-making. By linking risk analysis to scenario planning, the approach shortens response times, improves situational awareness, and enhances resilience in rapidly changing environments.

As the information society accelerates, static scenarios and narrow intelligence assessments fail to match its pace; their findings often arrive too late to stay relevant. A shift toward a dynamic framework built on human–machine cognition allows algorithms to process immense datasets and detect probabilities, while human judgment provides context, values, and interpretation. The result is an adaptive intelligence system capable of learning, simulating, and refining decisions in real time.

When foresight and intelligence merge, organizations and states can navigate the futures landscape more proactively, shifting from reactive defence toward anticipatory action. This integrated approach enables rapid testing of futures and detection of vulnerabilities before they manifest, turning uncertainty into an operational asset rather than a threat.

Through this approach, foresight becomes the strategic nervous system of intelligence, and intelligence the empirical grounding of foresight. Together with emerging technologies such as quantum computing and game theory, this fusion expands the prospects for real-time strategic reasoning — enabling organizations and states to simulate complex futures, detect early signals, and decide before environments shift.

Kahn’s words remain relevant. Deterrence today means anticipating not atomic escalation, but systemic collapse through misinformation, cyber interference, or technological dependence. Thinking clearly about what we would prefer not to think about is still the first step, not just toward survival, but toward trust, resilience, and a new strategic fusion for the futures. Only now, clarity must arise from joint human–machine cognition under central human oversight. No need to flip the coin.