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Everyone Is Using AI in L&D. Few Are Using It Well.
Everyone is using AI in L&D, but few are stopping to ask what it is doing to learning.
In this episode of STAI Tuned, Stella and Aiden examine AI as a double-edged force in modern training and development. As organisations rush to adopt AI tools in the name of efficiency, a deeper question is being overlooked: are these systems strengthening human capability, or quietly weakening it?
They explore how AI is currently being layered onto learning without rethinking design, cognitive effort, or retention, and why faster content and instant answers do not automatically translate into better outcomes. The issue is not whether AI belongs in learning, but whether it is being used in ways that support how people actually think, process, and apply knowledge.
You’ll hear why poorly designed AI-supported training risks reducing attention, increasing dependency, and undermining skill development, and how a more human-centred approach can shift AI from a shortcut into a genuine performance enabler.
If you work in L&D, HR, workforce development, training delivery, or leadership, this episode will challenge how you think about AI, efficiency, and learning quality.
Key Talking Points:
- Why AI adoption in L&D is outpacing learning design
- The difference between AI that augments learning and AI that replaces cognitive effort
- The hidden costs of speed, automation, and passive consumption in training
- What human-centred AI in learning actually requires
- How Smart-Training AI approaches AI as learning intelligence, not content automation
Follow Smart-Training AI for updates, insights, and evidence-led thinking on learning in an AI-shaped workplace: linkedin.com/company/smart-trainingai
This podcast is narrated by Stella and Aiden, AI-generated voices created by Smart-Training AI. All content is developed by our human team with the help of real-world neuroscience, instructional design, and AI-powered tools.
STAI Tuned Episode 14, “Everyone Is Using AI in L&D. Few Are Using It Well.”, was first published on [January 20, 2026].
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By Cherise LindseyEveryone is using AI in L&D, but few are stopping to ask what it is doing to learning.
In this episode of STAI Tuned, Stella and Aiden examine AI as a double-edged force in modern training and development. As organisations rush to adopt AI tools in the name of efficiency, a deeper question is being overlooked: are these systems strengthening human capability, or quietly weakening it?
They explore how AI is currently being layered onto learning without rethinking design, cognitive effort, or retention, and why faster content and instant answers do not automatically translate into better outcomes. The issue is not whether AI belongs in learning, but whether it is being used in ways that support how people actually think, process, and apply knowledge.
You’ll hear why poorly designed AI-supported training risks reducing attention, increasing dependency, and undermining skill development, and how a more human-centred approach can shift AI from a shortcut into a genuine performance enabler.
If you work in L&D, HR, workforce development, training delivery, or leadership, this episode will challenge how you think about AI, efficiency, and learning quality.
Key Talking Points:
- Why AI adoption in L&D is outpacing learning design
- The difference between AI that augments learning and AI that replaces cognitive effort
- The hidden costs of speed, automation, and passive consumption in training
- What human-centred AI in learning actually requires
- How Smart-Training AI approaches AI as learning intelligence, not content automation
Follow Smart-Training AI for updates, insights, and evidence-led thinking on learning in an AI-shaped workplace: linkedin.com/company/smart-trainingai
This podcast is narrated by Stella and Aiden, AI-generated voices created by Smart-Training AI. All content is developed by our human team with the help of real-world neuroscience, instructional design, and AI-powered tools.
STAI Tuned Episode 14, “Everyone Is Using AI in L&D. Few Are Using It Well.”, was first published on [January 20, 2026].