The Average Organization Is
Missing Out on 80% of AI's Value.
Most employees can ask ChatGPT a question and get an answer. It's useful, but it's also a fraction of the capability you could be building right now.
The 10 Levels of AI Mastery is the framework behind our AI SkillsBuilderĀ® training. It maps exactly where your people are today, what they can build, how they learn to shift their thinking at each stage, and what your organization gains as they advance. From Literacy, to Fluency, to Mastery, to Ingrained, each level produces a measurable return before anyone moves to the next.
Use the interactive tool below to see what each level looks like, how your employees think at that stage, and what they build to prove they're ready to advance.
Your People Are Using AI. None of That Knowledge Is Transferring to the Person Next to Them
Research shows that companies are spending 93% of their AI budgets on technology and 7% on the people expected to use it (Deloitte, 2025 Tech Trends Report). In other words: tools get purchased, usage stays minimal, and the CFO starts asking where is the return on the investment.
Your employees might be using AI, but nearly everyone is "learning AI" on their own. There's no shared vocabulary, no common process, no way for one person's breakthrough to become something the whole department can repeat. When someone figures out a powerful workflow, it stays in their head. It doesn't survive their next role change, let alone turnover.
Here's what most companies are missing:
The ROI on AI is not a measurement of access. It's a measurement of mastery.
Training needs to be at the forefront of any AI strategy.
The EU AI Act's Article 4 literacy requirement is already in force, with enforcement beginning August 2, 2026 (EU AI Office). Organizations whose products reach EU citizens or whose partners require compliance certifications now have a legal obligation for AI literacy.
That, alone, turns training from a nice-to-have into an absolute organizational necessity.
A 5-hour Task Drops to 15 Minutes by Level 5. By Level 10, AI Autonomously Runs Entire Workflows.
Business value and a mission to help employees stay relevant, capable, and confident in their roles are the driving forces behind how we've structured the AI SkillsBuilderĀ® training.
- At Levels 1-2 (Literacy), employees ask questions and get answers. Useful, but individual and unrepeatable.
- At Levels 3-5 (Fluency), employees build reusable prompts and workflows for their specific roles. A task that took 90 minutes drops to 15. That time savings is measurable in the first week.
- At Levels 6-8 (Mastery), employees create AI-powered systems that handle recurring work across teams. Prompt libraries become shared assets. Individual capability becomes organizational capability.
- At Levels 9-10 (Ingrained), employees design and run autonomous AI workflows that do significant operational work without manual intervention. The organization stops running random experiments and starts operating with AI as a default.
At every level, employees build something: a prompt, a workflow, a reusable system, an AI-powered tool. That artifact has to demonstrate a practical return before they advance. The time invested in each level is recovered by what they build at that level.
How much is your self-taught workforce costing you?
An untrained workforce can lead to operational inefficiencies that hinder the full realization of AI's potential. When AI tools are used inconsistently across departments and teams, it leads to duplication of efforts, wasted resources, and missed opportunities for automation and productivity gains.
Wonder how much it's costing you? Use this calculator to estimate to how much you're potentially losing through an untrained workforce.
Self-taught AI users top out at about 1.5 hours of generated capacity per week. Trained users hit 10 or more. Here's what those missing hours cost your company every year.
10,625 hours
of lost capacity per year across your team
$434,195
in annual cost from a self-taught workforce
This estimate assumes your employees are operating at Level 2 of the 10 Levels of AI Mastery, where most self-taught workers plateau. Trained employees reach Level 6, generating about 8.5 more hours of usable capacity per person every week.
This is a back-of-the-napkin estimate.
Your real number depends on what your team can do today, what they actually work on, and where AI fits in your operation. Our AI Impact Report measures all of that and gives you a custom analysis with specific recommendations.
Get my AI Impact ReportAccording to the National University AI Workforce Study, 2025...
Trained employees are 2.7x more proficient with AI. DIY training is not the solution.
Companies that invest in structured AI training see measurably different outcomes than those relying on self-serve platforms or informal learning:
AI proficiency is a bottleneck. Employees who go through formal AI training score higher on proficiency assessments than self-taught peers (National University AI Workforce Study, 2025). Self-serve platforms are not making up the difference. 59% of organizations that say they "provide AI training" still report insufficient AI skills across their workforce (Salesforce Workforce Study, 2024).
The spending imbalance is expensive. 72% of organizations have AI tools in place, but 55% lack any training to go with them (McKinsey Global AI Survey, 2024). Every month those tools sit underused is a month of capital investment producing minimal return.
The governance exposure is growing. More than 80% of employees use unapproved AI tools on the job. 54% have uploaded sensitive company data into those tools (Cisco AI Readiness Index, 2024). Shadow AI breaches cost an average of $670,000 more per incident than standard breaches (IBM/Ponemon Cost of a Data Breach, 2024).
If your employees are teaching themselves, it will take them 19-24 months to reach a level of mastery that training can help them achieve in 6 weeks.
"How is this different from Coursera, LinkedIn Learning, or another self-serve platform?"
Self-serve platforms deliver content. They don't build organizational capability, because content alone doesn't create shared vocabulary, common processes, or transferable skills. Our framework requires employees to build working artifacts at every level, and those artifacts produce measurable time savings before anyone advances. The AI SkillsBuilderĀ® training is built on the 10 Levels of AI Mastery, with governance, accountability, and internal champion development built into the program structure.
"Will my people actually finish?"
Most training programs fail because they're delivered into organizations with no governance structure, no accountability, and no internal champions to pull people through. Our process supports leadership in building organizational infrastructure first before the sustained training begins. Completion happens because the structure supports it, not because individuals sustain motivation on their own.
"We already bought Copilot / Salesforce Einstein / another AI tool. Do we really need training too?"
Recall that a growing number of organizations have AI tools deployed, and most lack any training alongside them (McKinsey, 2024). Without training, employees are left to "figure it out" on their own while they attempt to meet all other job requirements. Structured training is how you recover the investment you already made.
"What about data security and compliance?"
Governance comes first, not after. We help organizations develop the necessary executive alignment, guidelines, and policies that keep them compliant while their people learn. For organizations with EU exposure, this is also critical for addressing the AI Act Article 4 literacy requirement now in force.
Ready to See What the First 90 Days Look Like for Your Organization?
Schedule a 30-minute call. We'll discuss where your team falls on the 10 Levels, show you what the governance and training rollout could look like for an organization your size, and give you a concrete picture of what you can take to your board after the first quarter.