Artificial Intelligence is Reshaping Corporate Decision-Making and Framing Dynamics
The rapid integration of artificial intelligence tools into operational processes introduces new risks and management challenges in making strategic decisions.
As of 2025, 88 percent of organizations have begun using artificial intelligence in at least one function, while technology advances toward the center of decision-making processes. This creates two fundamental dynamics that narrow internal thinking and generate new strategic risks.
The Role of Artificial Intelligence in Decision-Making
Pablo Picasso said fifty years ago that computers could only provide answers. Today, artificial intelligence transcends this limit, also influencing the frameworks from which answers are generated.
Artificial intelligence not only gathers information but also directs corporate attention, determining which possibilities become visible.
Increase in Corporate Adoption Rates
The primary value proposition behind the rapid rise in artificial intelligence usage is efficiency.
While organizations' use of artificial intelligence stood at 55 percent in 2023, this rate rose to 88 percent in 2025, and the use of generative artificial intelligence also surged rapidly.
Frame Cramming and Frame Convergence
The involvement of artificial intelligence in pre-decision processes gives rise to two risks: frame cramming and frame convergence.
Frame cramming reduces intra-organizational exploration, whereas frame convergence emerges among different organizations utilizing similar models.
Limits of Human Oversight
Although keeping a human in the loop solution offers initial reassurance, it is not sufficient on its own.
The critical question is not whether humans review artificial intelligence outputs, but whether they influence how the problem is framed.
Strategic Approach for Leaders
Giving better prompts does not solve the root of the problem because prompts narrow searches within the existing framework.
Leadership teams must create robust conditions by challenging problems, exploring alternative frameworks, and treating initial possibilities as hypotheses.