This isn't a bad set of recommendations per se but it feels to me like vagueness masking as precision. For example, the first section is 'make the necessary future-focused mindset adjustments' and consists of four such adjustments:the integrated, design, data and work mindsets. Well OK but there's a whole huge story to be told for each of those, and it's not clear how they are necessary to the outcome. The next step is a deliciously abbreviated giant step: 'integrate AI across the tech stack'. The same sort of observations apply to learners as contributors, evaluating impact, building AI fluency, and shifting to atomic design. Are these the sorts of things that are necessary to support "creating a human + AI partnership" or have some additional agenda items been incorporated into the process?
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