AI in Strategic Foresight 2025
Page 7 of 22 · WEF_AI_in_Strategic_Foresight_2025.pdf
In sum, strategic foresight experts are using AI
predominantly for trend analysis or clustering (69%),
scenario development (63%) and horizon scanning
(60%) (see figure 2). There are no large differences
in use between sectors, albeit those working in
academia use AI tools more for horizon scanning,
trend analysis and clustering than other sectors,
while scenario development is most common in the
private sector and civil society.
Many also use AI for data and scenario
visualizations. Civil society also tends to do more predictive modelling or forecasting (33% of
respondents using AI in the sector), which could
possibly be linked to many digital government
initiatives in the sector.
In addition to the outlined functionalities, strategic
foresight experts also reported using AI for
designing persona profiles, extrapolating wild cards
and extreme scenarios, looking for bias or blind
spots in thinking (especially expanding human-
generated analysis) and as a reference library for
strategic foresight methodologies. Examples of tools used by strategic foresight experts BOX 1
The survey respondents mentioned some specific
use cases of AI for strategic foresight:
–Custom AI-based platform designed
to generate predictive evaluations of
emerging technologies.
–AI-powered platforms designed to provide
predictive insights through the simulation of
user-guided alternative future scenarios. –AI-enhanced cloud system that collects and
processes multi-source news information using
event-based modelling and ontologies.
–AI-enhanced custom oriented platform for the
persistent, autonomous reconnaissance of
global supply chains.
–Closed-access organizational tools developed by
and used within a large international organization.
Source: OECD
Customized tools tend to integrate AI into
existing foresight methodologies (e.g. the Radical
Technology Inquirer),6 develop new tools or use
the APIs (application programming interfaces) of
different large language models (LLMs) for internal analysis purposes. These tools are used to collect
documents automatically, detect signals or analyse
documents in support of foresight activities (see
some examples in Box 1).
AI in Strategic Foresight: Reshaping Anticipatory Governance
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