​Are You Being Benchmaxxed?

Forbes Councils member Katy Wigdahl warns that organizations risk being 'benchmaxxed' by relying on generic AI benchmarks that do not reflect real-world performance, urging them to evaluate models against their own specific use cases. Wigdahl notes that there is no universal winner in AI, only the model that performs best for a given task, and advises companies to design custom evaluation frameworks to avoid costly missteps.