The Future in Focus: AI Tools That Forecast Business Opportunities w/Saar Ben-Attar

By Dan Sanchez · Episode published

Scenario planning with AI helps marketers test plausible futures, expose assumptions, and turn changing market signals into timely experiments instead of annual guesswork.

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Stop Treating Strategy as an Annual Event

The future cannot be predicted with certainty, but businesses still need to make decisions before certainty arrives. That is the purpose of scenario planning. It does not declare one forecast to be right. It asks a more useful question: if this plausible future emerges, would we be ready to thrive in it?

For years, scenario work often took weeks or months and lived beside the normal planning cycle. That pace made sense when markets changed more slowly. Today, customer behavior, technology, regulation, and supply conditions can shift before the next planning meeting. A strategy that only gets tested once a year can become a record of old assumptions.

Build Several Plausible Futures

Good scenarios begin with signals, not predictions. Look beyond the obvious trend and ask what happens when it intersects with another force. A shift in AI adoption, for example, can change more than a company’s internal efficiency. It can influence how customers evaluate offers, how fast they expect service, which channels they trust, and how they make financial decisions.

The point is to make the future concrete enough to discuss. What might the economic, technological, social, and political environment look like? What could accelerate the change, and what could slow it down? What early signs would tell us that this path is becoming more likely?

That exercise gives marketers a stronger seat in strategy because they bring customer knowledge into the room. The market is not just an external condition. It is the changing behavior, needs, and expectations of the people a business serves.

Use AI to Explore, Then Let People Judge

AI can compress scenario work by connecting patterns, comparing historical situations, and helping teams articulate alternative narratives in a live session. A useful custom assistant is not just asked to invent a future. It is guided by a proven process: assess signals, construct scenarios, identify implications, test assumptions, and ask what actions might make the business more resilient.

That structure matters. It gives the model boundaries while still allowing it to surface connections a team may not have considered. One scenario may prompt a historical comparison from a different market or decade. Another may reveal an assumption that was hidden inside a market-sizing model.

The team still needs to evaluate the relevance of every connection. AI can expand the field of view, but it cannot decide which bet aligns with the organization’s capabilities, values, and appetite for risk.

Turn Scenarios Into Experiments

The value of foresight comes after the conversation. Use each scenario to identify a small number of tests: a customer interview, a new offer, a partner conversation, a pilot, or a measurement that would clarify what is happening in the market. Then return with the results and update the scenario.

This creates a continuous strategy cycle: explore, diagnose, test, learn, and adapt. It also makes opportunity sizing more honest. Instead of hiding hundreds of small assumptions inside a spreadsheet, teams can expose them, challenge them, and ask what would need to be true for a market opportunity to grow.

The goal is not to let a model map the future for you. It is to help your team imagine more than one path, see the implications sooner, and make better moves while the opportunity is still forming.