AIToday
AI Business & IndustryPractical AIPublished: Aug 25, 2026, 19:01 JST1 min read

AI Proficiency: From Users to Builders

AI Proficiency: From Users to Builders

Key takeaway

  • AI proficiency is being redefined beyond simple adoption. The L0–L3 framework helps companies build AI solutions.

  • Non-technical builders play a key role in this process.

  • TiER1 focuses on turning knowledge into durable processes.

3 Key Points

  1. What happened

    Mike Lewis, Chief AI Architect at TiER1 Performance, discusses AI proficiency through an L0–L3 framework, focusing on non-technical builders.

  2. Why it matters

    TiER1 helps large organizations like Google and Eli Lilly with transformation, aiming to turn tacit knowledge into durable processes and find measurable business value from AI.

  3. What to watch

    The episode explores overcoming AI resistance and identifying the right people to build AI-powered solutions.

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Context & Analysis

The episode highlights a shift from merely using AI tools to enabling employees to build AI-powered solutions. Mike Lewis, with a background as a portrait painter, emphasizes practical, outcome-driven approaches over hype. TiER1's work with major corporations underscores the need for structured frameworks like L0–L3 to guide workforce enablement.

The discussion touches on turning tacit knowledge into durable processes, which could help organizations find measurable value from AI initiatives. The upcoming Midwest AI Summit is mentioned as an event for practitioners to engage hands-on, suggesting a growing ecosystem for practical AI learning.

FAQ

What is the L0–L3 framework?
The L0–L3 framework is a model discussed in the podcast for defining AI proficiency levels across a workforce.
Why is there AI resistance in organizations?
The episode discusses AI resistance, and Mike Lewis suggests focusing on outcomes and performance rather than mandating AI adoption to help employees adapt.

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