The modern learning ecosystem framework
Explore the Modern Learning Ecosystem Framework to enhance workplace learning, making support accessible anytime, anywhere for all organizations.
The article discusses the Modern Learning Ecosystem (MLE) Framework, a practical approach to workplace learning that emphasizes making learning and support available when and where people need it. The framework is technology, industry, and budget agnostic and can be applied by any organization. The article also provides recommended readings, downloads, and presentations related to the MLE Framework. The author, JD Dillon, is a veteran talent development leader and author of the book “The Modern Learning Ecosystem: A New L&D Mindset for the Ever-changing Workplace.”
Original article: Modern Learning Ecosystem Framework
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
The file I almost made twice
A small operational footgun that runs everywhere — building a parallel system when the one you have is fine.
The actor doesn't get to be the verifier
The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.
Shopping is the last mile
Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.
The IMF warns about AI’s impact on inequality
IMF warns AI could deepen global inequality, urging policymakers to implement safety nets and retraining programs to protect vulnerable workers.
Discover how generative AI is more likely to augment jobs rather than replace them, transforming tasks and creating new opportunities for efficiency and innovation.
Explore how generative AI enhances jobs by automating tasks, fostering efficiency, and creating new opportunities instead of replacing human roles.
Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.
Explore Atlassian's insights on flexible work policies and employee satisfaction. Download the free report to learn from their distributed work experience.