Upscaling Your People: Advanced AI Training : Social Media Examiner

"Most companies are making a single large bet on AI: one multi-million-dollar application built by outside vendors. They pour resources into that initiative while ignoring the fact that if their employees can't understand, contribute to, or build upon what's been created, it's unlikely to succeed. But if the collective AI knowledge within an organization sits at roughly level three, and the initiative being deployed requires level eight or nine capability to operate and maintain, nobody in the company can meaningfully contribute. The only person who knows what's going on is the person who was hired to build it-and when that person leaves, the initiative collapses."

"The alternative to the single large bet approach is advanced training for everyone. The goal of advanced AI training isn't to turn everyone into a developer. It's to take each person from wherever they are right now and move them steadily toward building tools that solve the problems only they fully understand, because they're the ones doing the work every day."

"When 50, 100, or 200 employees each build their own, even relatively simple, tools built inside ChatGPT, Claude, or Gemini-the cumulative effect outpaces a single custom application in both speed and cost. Each person solves the problems they know best, because nobody understands a job's friction points like the person doing the job."

Many companies invest in a single large AI application built by outside vendors while employees lack the knowledge to understand, contribute to, or maintain it. When organizational AI capability is far below the level required to operate and improve the deployed system, only the vendor or builder can manage it, and the effort collapses when that person leaves. A better approach is advanced AI training for everyone, not to make everyone a developer, but to move each person from their current level toward building tools that solve problems they understand from daily work. When many employees build small tools using AI platforms, cumulative impact can exceed one custom application in speed and cost. As employees reach higher capability levels, their ideas for larger AI applications become useful to the organization.

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