Marcus Duigan was fired last week. He didn't know why. Marcus sat through every AI Monday for thirteen weeks straight. He finished the prompt-engineering course. He used his reimbursement on the recommended AI tools. He showed up to every workshop the company brought outside experts in to run. On paper, he did everything the training asked of him. Six months later, he was let go anyway; one of hundreds cleared out in a single sweep. The official line from leadership: the team wasn't moving fast enough on AI. This isn't a hypothetical dressed up for effect. It's close to what actually happened at Texas-based IgniteTech. CEO Eric Vaughan pushed the company to go all-in on AI starting in 2023 weekly "AI Mondays," reimbursed tools and courses, outside experts brought in to teach. For an entire quarter, the company spent 20% of its total payroll, one full day a week, company-wide just to get people fluent in AI. By early 2024, IgniteTech had replaced nearly 80% of its workforce. "We took 20 per cent of our entire payroll for one day a week for an entire quarter to get people to learn AI," Vaughan said, "and still found people that said, 'I'm not going to do it.'" His own conclusion: "Changing minds was harder than adding skills." That failure is rarely about effort or budget. IgniteTech had both. It's about designing training that teaches tools instead of designing training that changes how people work. A workshop can show someone what a prompt looks like in an afternoon. It can't rebuild the belief that their role is safer, more valuable, or more interesting because of the change and without that belief, the skill never gets used on the job, no matter how well it was taught. This is precisely the problem Infonative Solutions is built to solve. We don't train people to know what AI tools do; we design AI training programs around adoption: aligning leadership and teams before rollout, building reinforcement into the weeks after a workshop ends instead of stopping at "completed," and measuring whether AI is actually showing up in people's daily work, not just whether they attended a session. If your organization is rolling out AI, talk to us about building training that gets your whole team genuinely on board, not just checked off a list.
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