Which AI use cases have the greatest economic potential?
The greatest economic potential lies where high business value and repetitiveness come together — activities that occur regularly and where each individual run consumes time, money, or scarce resources. When AI supports or takes over such processes, measurable effects emerge. Typical examples are decision-making, review, assessment, research, forecasting, or planning processes that arise frequently and have so far been handled manually.
An important factor is the digital environment of the use case. AI is considerably easier to deploy when a company already operates digitally, data is available, and IT systems and interfaces exist.
In environments that are heavily shaped by physical assets, machines, or manual labor and have little digital data, processes must first be digitized and infrastructure built. Only with this foundation can AI deliver its intended impact.
Less suitable are use cases with low repetitiveness and low individual value. The effort for data, integration, and operations often doesn't justify the benefit.
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