Reframing Strategic Foresight in the Age of AI & Algorithms

Three ways to use AI to augment futures thinking—and when to avoid it

Traditionally, strategic foresight—the discipline of creating informed, forward-looking views for an organization—has relied on analysis, human intuition, experience and creativity to identify signals, develop scenarios and craft strategies. This discipline incorporates different positions you can adopt to tackle future developments, as well as distinct lenses through which you can view the world. These perspectives now face the added dimension of technological advancement, particularly in the realm of artificial intelligence. The emergence of AI brings a new set of advantages that can augment human abilities and fundamentally transform the way that organizations approach futures thinking.

Recently, frog partnered with an AI-driven futures intelligence platform to spearhead an innovative strategic foresight initiative for a major infrastructure entity. By harnessing AI’s computational prowess, we streamlined complex layers of the strategic foresight process, integrating and analyzing thousands of signals of change to unveil transformative insights. This collaboration marked a significant leap, transforming the traditional scenario planning process into a dynamic, data-driven endeavor. The unique approach enabled our client to not only anticipate future shifts but also to align their innovation strategy with emergent opportunities, setting a new industry benchmark for informed decision-making.

Essentially, the strategic foresight process comprises three major stages. AI can be leveraged across a range of activities across all three stages, significantly enhancing the scope and efficiency of foresight initiatives.


Scenario Development

Lay the groundwork for your analysis, culminating with a range of potential futures around a focal topic.

  • Scan for signals of change
  • Identify causality between key variables
  • Generate AI-enabled scenarios
  • Craft vivid narratives of future scenarios
  • Create visual representations of the future


Scenario Planning

Determine the impact of these futures on your business and formulate flexible and contingent strategies for each future.

  • Assess and simulate scenario impact
  • Evaluate robustness of various strategic responses
  • Review opportunity costs of different strategic paths


Scenario Monitoring

Maintain ongoing vigilance to ensure that strategies remain relevant and responsive to changing conditions.

  • Scan for early indicators of potential scenarios
  • Conduct sentiment analysis
  • Track pattern evolution
  • Analyze response efficacy

When it comes to augmenting strategic foresight initiatives, AI acts as a tremendous force multiplier. It can process millions of possibilities in a second, identifying signals of change, patterns and correlations that may go unnoticed.

However, it’s not just about computing power alone. AI can be trained to apply a sophisticated set of analytical tools—such as sentiment analysis or cross-impact analysis—to raw data, transforming it into actionable intelligence and enhancing the breadth, accuracy and lead time for strategic foresight activities. Additionally, AI can help to identify ‘weak signals’—early indicators of potential significant changes that are still subtle or infrequent enough to go unnoticed by humans, providing organizations with a valuable head start in adapting to changes.

Three ways to engage AI in your strategic foresight process now (and what to avoid)
1 Challenge Assumptions

AI can help to overcome the cognitive biases that often cloud human judgment. Thanks to its even-handed treatment of all available information, AI can reduce the potential for ‘confirmation bias’ (the tendency to overemphasize information that confirms our pre-existing beliefs) or ‘availability bias’ (the tendency to overweigh information that is more easily recallable). By incorporating diverse perspectives and objective analysis, AI systems can help organizations make more informed decisions, free from prejudices hidden in human judgment.

Proceed with caution: AI models are only as good as the data they learn from. This means that, although when used carefully they can help overcome bias, they can also inadvertently perpetuate existing biases or make flawed assumptions based on the data they’ve been trained on. The need for continuous human oversight and guidance—not just in decision-making but also in AI training, validation and monitoring—is essential to maintain the integrity of strategic foresight activities. 

2 Boost Creativity

AI can be used to support the creative side of scenario development. By systematically altering the input parameters, AI can explore a vast landscape of possibilities, including those that may seem counterintuitive or unlikely, but could still be of strategic importance. It can assist in crafting narratives using targeted prompts, helping communicate scenarios in an empathetic manner. Post scenario development, AI can help anticipate potential impact and outcomes of dozens, if not hundreds, of scenarios, generating opportunities and risks associated with each one. They can also be trained to suggest strategic pathways to prepare for various eventualities, leading to a more proactive and agile approach to strategic planning. 

Proceed with caution: AI, with its current capabilities, cannot yet replicate the complex interplay of emotions, empathy and interpersonal relationships, nor can it navigate the deeply ingrained assumptions that shape our worldviews. The activation of strategic foresight initiatives—turning strategic insights into actionable plans—not only requires human input, but an ability to challenge and redefine existing mental models. For example, convincing a team to adapt to a new strategic direction requires more than presenting compelling data. It involves empathy to understand the team’s concerns, communication skills to articulate the benefits of change and leadership to guide them through the transition. It’s about inspiring trust and fostering a shared vision of the future. While AI can offer us the ‘what’ and the ‘when,’ it is the human leaders who provide the ‘why’ and the ‘how.’ They use their understanding of organizational dynamics, stakeholder interests and emotional nuances to infuse data-driven insights with context, relevance and urgency. 

3 Spot Patterns

Ensuring continuous and real-time insights throughout the foresight process, AI bots can roam millions of research articles, news pieces and social media platforms according to pre-defined criteria in order to spot patterns and connect the dots across large data sets. AI’s ability to continuously learn and improve allows it to evolve its search algorithms over time, getting better at spotting patterns and identifying relevant signals. AI-enabled horizon scanning is like having a tireless scout that learns from its past performance to elevate the efficiency of its future tasks. 

Proceed with caution: Identifying patterns alone is not enough. Incorporating AI into strategic foresight brings us face-to-face with its ‘black box’—the opaque core of AI decision-making. The rationale behind the outputs generated by AI are not always clear and pose a challenge for decision makers. The quest for explainability isn’t merely academic; it’s about ensuring that the strategic choices carved out by AI’s complex neural networks can be understood, trusted and acted upon by those who bear the responsibility for their outcomes. 

Finding the right balance

Successful strategic foresight balances imagination and exploration with evidence and analysis. It is grounded in the idea that the human experience is inherently complex, multifaceted and evolving. The molding of agendas must be a human-led process. While AI systems can analyze, predict and inform, they don’t possess nuanced understanding of human values, emotions and societal contexts. Even as AI technologies evolve and influence various aspects of our lives, it is humans who must set the agenda when it comes to the application of these technologies and determine the ethical boundaries of their operation.


Within your business, striking the right balance of a human-AI collaboration requires the following operational principles:


  • Culture-first: Get your organization in the right mindset by prioritizing learning and adaptability to new ways of working. This means being able to deploy the right tools for the job, helping to facilitate diverse perspectives and agile responses to change.
  • Insight-driven: Gather insights from large datasets to inform decision-making processes. Interpreting data successfully means being able to understand new developments and apply foresight methodologies.
  • Tech-enabled: Build (or gain access to) the technological infrastructure that enables you to process and interpret complex information, supporting strategic foresight and development.

At frog, we believe that the inherent limitations of AI underscore the importance of human-AI collaboration—and this is reflected in the mindful way we harness AI in our client work. It’s a synergetic relationship: while AI brings computational power and objective analysis, humans bring contextual understanding and ethical judgment. This is particularly important in dealing with ‘wicked problems’: complex, multifaceted challenges, such as climate change, that involve high levels of uncertainty and are deeply intertwined with social and cultural contexts.

AI has the potential to revolutionize strategic foresight, but the path to realizing this potential lies in a balanced partnership between AI and humans, each contributing their unique strengths to the process. The challenge now is to integrate this technology, not as a replacement but as an extension of our strategic acumen, ensuring that the path to success in tomorrow’s world is as human as it is data-driven.

Octavio Egea
VP and Head of Innovation, frog Madrid
Octavio Egea
Octavio Egea
VP and Head of Innovation, frog Madrid

Octavio Egea is a Vice President and Head of Innovation, Strategy & Design at frog. For 20+ years, Octavio has been helping organizations decipher, navigate and thrive in complex industry contexts, deploy new growth platforms and embrace innovation to drive superior alpha. He leads a team of passionate strategists, designers and technologists assisting startups and global corporations in identifying emerging opportunities, developing growth strategies, building new businesses and creating innovative and meaningful experiences that resonate with customers and employees.

Arjun Shukla
Associate Strategy Director
Arjun Shukla
Arjun Shukla
Associate Strategy Director

As an Associate Strategy Director, Arjun specializes in empowering clients to unlock their growth potential and achieve profitability amidst a dynamic and uncertain business landscape. Driven by a passion for cultivating long-term, scalable success, he works closely with organizations, teams and individuals, helping them enhance their capabilities and adapt to complexity and change with confidence. Arjun’s expertise encompasses strategic foresight, product & innovation strategy and creative problem-solving, enabling him to not just identify opportunities but see them through to fruition, driving growth and delivering tangible impact for his clients.

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