General-Purpose Technologies, such as AI, must cause the enterprise to rethink and redesign its workflows, organizational structures, and business models. Most information technologies targeting the enterprise, e.g., business intelligence, refine and optimize existing processes rather than forcing their complete redesign. Failing to distinguish between a true General-Purpose Technology and a standard information technology leads CEOs to the dangerous trap of considering AI committees and Centers of Excellence as the appropriate bodies to introduce AI to their corporations.
As #embodiedAI becomes the next #AI frontier, it forces a sobering reality check for #employment in the American #autoindustry. President Donald Trump’s bold vision of reviving the auto industry and bringing back two million manual labor roles must now collide with the reality of stagnant demand for new vehicles, software-defined vehicles that are easier to manufacture, and adaptive robots that can take up many of the tasks involved in said manufacturing.
In the first three parts of this series, we achieved three objectives. We described the characteristics of the AI-first company.…
The business world is buzzing with AI experimentation. However, a structured approach for moving from experimentation to production, although necessary, is often lacking, which hinders AI’s transformative potential. This article introduces a decision-support framework, implemented as a decision tree, to help executives mitigate the risks associated with decisions relating to moving AI experiments to production, focusing on whether to enhance existing business processes with AI or redesign them as AI-first.



