Not All AI Training Is the Same
When government agencies start shopping for AI training to meet the Texas DIR mandate, they quickly discover that "AI training" is not a single product. It is a category - and a broad one. Some vendors offer a one-hour awareness course. Others offer multi-week technical bootcamps. Still others pitch something in between.
The confusion is understandable. The terms "AI awareness," "AI literacy," and "AI workforce training" get used interchangeably in marketing materials, RFPs, and even policy documents. But they are not the same thing. They serve different purposes, target different audiences, require different time commitments, and produce different outcomes.
Understanding the distinction matters for two reasons. First, Texas Government Code Section 2054.5193 requires a specific type of training - and buying the wrong tier wastes budget and may not satisfy the legal requirement. Second, agencies that understand the framework can make smarter decisions about which employees need which level of training, rather than applying one solution to every role.
This article breaks down the three tiers clearly so you can match the right training to the right audience.
Three Tiers of AI Training
Think of AI training as a progression. Each tier builds on the one before it, but each stands on its own as a complete program for its intended audience.
- Tier 1 - AI Awareness: Understanding what AI is, what risks it carries, and what rules govern its use. This is the foundational layer.
- Tier 2 - AI Literacy: Practical skills for working with AI tools effectively and responsibly in professional contexts.
- Tier 3 - AI Workforce Training: Technical competency for building, deploying, managing, or governing AI systems.
Each tier targets a different audience, demands a different time investment, and teaches different skills. Let us look at each one in detail.
Tier 1: AI Awareness Training
What it is: A foundational course that gives every employee a baseline understanding of artificial intelligence - what it is, how it works at a general level, what risks and limitations it carries, and what legal and ethical obligations apply to its use in government.
Who needs it: Every covered employee. Under the DIR mandate, that means every state and local government employee who uses a computer for 25% or more of their duties.
Typical duration: Approximately one hour.
Focus: Understanding, not doing. Awareness training does not teach employees how to use specific AI tools. It teaches them what AI is, why it matters, and what guardrails exist.
The key topics in a well-designed AI awareness course include:
- What AI is and how it works - machine learning, large language models, generative AI
- Risks and limitations - hallucination, bias, outdated information, contextual failures
- Legal compliance - Texas Government Code, federal guidance, agency-specific policies
- Responsible and ethical use principles - human oversight, transparency, accountability
- Data privacy and security considerations when interacting with AI systems
This Is the Tier Required by Texas Law
Texas Government Code Section 2054.5193 requires AI awareness training - Tier 1 - for all covered government employees. The DIR certification standards specify that approved training programs must cover a general explanation of AI, risks and limitations, and best practices for responsible and ethical use. This is the training that must be completed by August 31, 2026.
Tier 2: AI Literacy Training
What it is: Practical, skills-based training that teaches employees how to work with AI tools effectively, responsibly, and productively in their professional roles.
Who needs it: Team leads, managers, power users, and employees who regularly interact with AI tools as part of their workflows. Think of the HR coordinator who uses AI for drafting job postings, the budget analyst who uses it for report summarization, or the communications director who uses it for constituent correspondence.
Typical duration: 4 to 8 hours, often delivered as a series of modules over several days.
Focus: Practical application. Literacy training bridges the gap between knowing what AI is and knowing how to use it well.
Key topics in AI literacy training include:
- Prompt engineering - how to write clear, specific instructions that produce useful AI outputs
- Evaluating AI outputs critically - systematic methods for verifying accuracy, detecting bias, and assessing fitness for purpose
- Integrating AI into daily workflows - identifying which tasks benefit from AI assistance and building consistent processes
- Understanding capabilities and limitations in depth - knowing what AI tools can and cannot do for your specific role
- Selecting appropriate AI tools - evaluating tool options based on data classification, approved use, and functional fit
The key difference from awareness training: literacy training is hands-on. Participants practice using AI tools, receive feedback on their prompting and evaluation techniques, and develop workflows specific to their job functions.
Tier 3: AI Workforce Training
What it is: In-depth technical training for employees who build, deploy, manage, or govern AI systems within their organization.
Who needs it: IT teams, data analysts, software developers, cybersecurity professionals, AI governance officers, and other specialized roles with direct responsibility for AI infrastructure or operations.
Typical duration: 20 to 40 or more hours, often delivered over weeks or months as a structured professional development program.
Focus: Technical competency. Workforce training is about building and managing AI, not just using it.
Key topics in AI workforce training include:
- Data analysis and AI model evaluation - understanding how models are trained, validated, and assessed for performance and bias
- Building AI-powered workflows and automations - designing and implementing AI-assisted processes at an organizational level
- AI system administration and governance - managing access controls, monitoring usage, enforcing policies, and auditing AI systems
- Vendor management and AI procurement - evaluating AI vendors, negotiating contracts, assessing security postures, and managing third-party AI risk
- AI incident response - handling AI-related security events, data breaches involving AI systems, and model failure scenarios
This tier is not for every employee. It is specialized training for specialized roles. But for agencies that are actively deploying AI systems - or evaluating AI vendors for major procurements - workforce training is essential for the staff responsible for those decisions.
Which Tier Does Your Agency Need?
The answer depends on where your agency is in its AI adoption journey. Here is a practical framework:
For the DIR mandate: Tier 1 for all covered employees. This is the legal requirement, and it is non-negotiable. Every employee who uses a computer for 25% or more of their duties must complete awareness training by August 31, 2026.
For agencies actively using AI tools: Tier 1 for everyone, plus Tier 2 for power users, managers, and team leads who regularly work with AI in their roles. This combination ensures broad compliance while building practical skills where they matter most.
For agencies building or deploying AI systems: All three tiers, applied to the appropriate audiences. Awareness for the full workforce, literacy for regular AI users, and workforce training for the technical and governance teams responsible for AI infrastructure.
| Feature | Tier 1: Awareness | Tier 2: Literacy | Tier 3: Workforce |
|---|---|---|---|
| Audience | All covered employees | Managers, power users, team leads | IT, data, developers, governance |
| Duration | ~1 hour | 4-8 hours | 20-40+ hours |
| Focus | Understanding and compliance | Practical skills | Technical competency |
| Outcome | Knows what AI is and what the rules are | Can use AI tools effectively and safely | Can build, deploy, and govern AI systems |
| DIR Required? | Yes - legally mandated | No - but strongly recommended | No - for specialized roles |
| Frequency | Annually | As needed | As needed |
Why Starting with Awareness Is the Right Move
Some agencies, eager to demonstrate leadership in AI adoption, are tempted to skip straight to literacy or workforce training. This is a mistake for several reasons.
Awareness is the legal requirement. Before anything else, your agency must satisfy the DIR mandate. Tier 1 training is what the law requires, and it is what DIR will evaluate when reviewing compliance. Investing in advanced training while leaving the baseline requirement unfulfilled creates legal exposure.
Awareness is the foundation. You cannot build literacy or workforce skills on top of ignorance. Employees who do not understand what AI hallucination is cannot learn to verify AI outputs effectively. Employees who do not understand data classification risks cannot learn safe AI workflow integration. The foundational concepts in awareness training make everything that follows more effective.
Awareness is efficient. It takes about one hour per employee. For an agency of 500 people, that is 500 hours of training time - significant but manageable. Compare that to literacy training at 4 to 8 hours per person or workforce training at 20 to 40 hours. Starting with the one-hour baseline for everyone is the most cost-effective first step.
Awareness reveals who needs more. Once employees complete awareness training, agencies can identify which teams are actively using AI, which roles would benefit most from deeper skills training, and where the highest-risk use cases are. This makes Tier 2 and Tier 3 investments targeted and data-driven rather than speculative.