Forbes Publishes Article Asking Whether Robots Can Make Up for Lack of Intuition

On November 13, 2026, Forbes published an article about whether robots can make up for a lack of intuition, titled “Can Robots Make Up For Lack Of Intuition?”

What can be confirmed here is only that Forbes published an article posing a question linking robots and intuition. The excerpt provided does not include the article’s arguments or supporting evidence, so its claims, technical explanations and examples cannot be inferred. Accordingly, rather than assess the article’s conclusions, we should break down the question in its title into issues that can be examined technically. The meaning of “intuition” is not clear without reviewing the article itself: It could refer to perception, situational judgment, adaptation to unfamiliar environments or another capability. See the original article for details. When discussing robots’ capabilities, it is important to distinguish the success of an impressive demonstration from evaluation results obtained under clearly specified conditions. Without clarity on the task, changes in the environment, the definition of success and how failures are handled, it is difficult to draw conclusions about general capabilities from a single demonstration. Whether an evaluation was conducted in simulation or on a physical robot, and how the two were linked, are also points to examine when assessing technical claims. These are not necessarily subjects the article covered; they are perspectives needed to evaluate the question in its title. No related articles from this newspaper were provided, and there is no material for comparing this article with past coverage. The supplementary information is limited to a brief description of the article, and details about the robots involved, evaluation conditions, experimental results, prices, market size and comparisons with competitors cannot be confirmed. Therefore, any assessment tied to a specific technology or a company’s competitive position should be avoided. Three points warrant further examination: First, how the article defines “intuition.” Second, whether it presents evaluation conditions and results from physical robots or simulations to support its claims. Third, whether it provides grounds for applying those results beyond the tasks and environments evaluated.