What does it take to change how an industry works — and what happens when it doesn't change fast enough? Lars Hyland has been asking that question for thirty years, from the early days of interactive multimedia through nearly a decade leading EMEA for Totara Learning, and now at Enlytning, an AI-powered platform helping small businesses close the gap between policy and practice. In this conversation, John and Lars go back to the beginning — to the Epic days, when the e-learning model that now dominates the industry was taking shape around them — and trace a career-long argument about the one thing L&D keeps getting wrong.
They cover the founding of Retenda in 2010 — a learning reinforcement platform built on spaced repetition, a decade before the category existed — and why good timing isn't enough if the market isn't ready. They get into the Totara years, open source as a power relationship, and the honest tension in spending nearly a decade championing infrastructure you know is being misused. And they dig into AI: not the conference version, but the harder question of whether the industry is using it to fix a broken model or just to run the broken model faster. Lars's phrase for the latter — faster garbage in, garbage out — is both a provocation and a diagnosis.
Lars has a view on what he thinks good actually looks like. The question is whether the industry is willing to build it.
TIMESTAMPS
02:12 - Intro
05:05 - The formative years of elearning
17:59 - Why did he found Retenda?
21:35 - The Totara years
25:53 - What happens to open source tech when it goes commercial?
30:21 - Enlytning
40:26 - Compliance & HR
52:17 - Does the SaaS model still have a future?
57:51 - A way to cut down duplication in course catalogues?
01:08:51 - End
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