Why Generic AI Training Fails

This post was originally featured in the 2/11/2026 newsletter found here: INBOX INSIGHTS: Why Generic AI Training Fails, Citizen Analyst Part 1

Why Generic AI Training Fails

I’ve spent a lot of time lately talking to CEOs who are frustrated. They’ve done the “right” things. They’ve signed the enterprise contracts for the latest LLMs. They’ve held the mandatory all-hands “Introduction to AI” workshops. They’ve checked the boxes.

And yet, when they look at their actual operations, nothing has changed. Their teams are still drowning in the same manual tasks, and that expensive platform they bought is mostly being used to write slightly better-worded emails. Emphasis on “slightly”.

If this sounds familiar, I want to let you off the hook for a moment: the problem isn’t your team’s laziness. The problem is that most corporate AI training is designed for a generic employee who doesn’t exist.

You Can’t Coach What You Haven’t Measured

Think of it like this: you wouldn’t hire a personal trainer and tell them to give the exact same workout to a marathon runner and someone recovering from a knee injury. It’s not just ineffective; it’s actually harmful to your progress.

In the world of AI, most companies are trying to “train” their way out of a “People” and “Process” problem without ever stopping to diagnose where their people actually sit. We see organizations where the Marketing team is ready to orchestrate complex, multi-modal campaigns, while the Legal team is still trying to figure out if they’re even allowed to touch the tool.

When you give them the same generic training, the advanced users get bored and the beginners get overwhelmed. Everyone tunes out.

The Need for a Strategic Mirror

This is why we’ve moved away from “training” and toward “tailored coaching.” But before coaching can happen, you need a mirror. You need a version of a proficiency rubric that actually reflects your unique operational reality.

A custom rubric allows you to identify behavioral proof points that matter to your business. We don’t care if someone says they are “proficient in AI.” We want to know:

• Does your Engineer have a “Human-in-the-Loop” checklist for verifying code?
• Does your Marketer know how to perform a “Red Team” analysis on a campaign brief?
• Does your Product Manager use AI to identify resource bottlenecks, or just to summarize meeting notes?

When you build a rubric tailored to your specific disciplines, you stop guessing. You start seeing the “heat map” of where your organization is strong and where you are exposed to significant risk.

Moving From Fluency to Orchestration

The goal of this isn’t just to make people “faster.” If your team saves five hours a week but just fills that time with more internal meetings, you haven’t gained anything. Real success is measured by whether those efficiency gains actually translate into business value—not just doing the wrong things faster.

Success isn’t about tool adoption; it’s about Strategic Orchestration.

It’s about moving your team members from being “Assisted” (using AI as a simple notetaker) to being “Transformers” (reimagining how their entire job could work). That transition doesn’t happen in a 60-minute webinar. It happens through discipline-specific coaching that is grounded in the tasks they actually do every day.

The Bottom Line

AI isn’t a “set it and forget it” technology. It is a change management challenge. If you want to see a real return on your AI investment, stop looking for the “perfect” tool and start looking at how you are developing your people.

Build your rubric. Measure your baselines. Then, and only then, give your team the tailored coaching they need to actually succeed.

If you’re looking for a place to start with your own team’s audit, we’ve developed an AI Proficiency Matrix and Behavioral Survey that helps leaders identify these gaps.Contact us to find more information about how we help organizations build these tailored roadmaps.

Are you suffering through generic AI training and want to do something about it? Reply to this email or join the conversation in our Free Slack community, Analytics for Marketers!

– Katie Robbert, CEO

Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.