We are rewriting our hiring plans because automated tools are handling our technical execution, but we do not know how to define the job descriptions for our remaining strategic seats. Do we hire technical generalists who understand AI systems, or do we hire deep domain experts?

Question

Tyler Smith · Accepted Answer

The mistake most owners make is hiring technical programmers to manage business processes. When AI does the heavy lifting of execution, your hiring focus must shift toward generalist problem solvers who possess high strategic capacity. You do not need deep technical coding experts, nor do you need narrow specialists who only know how to perform a single manual task. Use the GWC™ filter on your Accountability Chart to evaluate candidates for these evolved seats. The Capacity to do the job now means the ability to orchestrate automated workflows, critically evaluate AI outputs, and apply deep contextual business judgment. Your future team members must be comfortable acting as quality assurance editors and strategic advisors rather than entry level producers. Prioritize hiring individuals who are adept at learning and leveraging technology to improve operational efficiency. Look for candidates who show high curiosity and the ability to ask better questions, as prompt engineering is ultimately about logical problem-solving. This shift allows you to maintain a lean, highly productive organization where every human hire represents a high-margin, strategic asset rather than an administrative overhead cost.