After the initial adoption phase, AI transformation faces an uphill battle. How can we redesign company processes and workflows if the people who operate them see it as a threat to their professional livelihood? Identifying opportunities and improvements requires the tacit knowledge of experienced professionals.
One challenge to overcome is that most of us are not consciously competent. We do things well without knowing exactly how our why, so articulating it takes special expertise. Another issue is the standard practice that any knowledge created by people within a company belongs to the company. People sense the subtle risk of giving away their tacit expertise and hold back, because codifying their craft makes them easier to replace.
At least a portion of the innovation necessary to unlock full value of AI is happening in private, sometimes outside of the company systems. This creates a few problems including obvious security risks to the company. Also, as more people privately create their own skills, workflows and helper agents will they be able to bring them to work? Is this a durable new-world problem or a temporary problem of the adoption phase?