Ideas to help you learn better.
Research, methods and fresh perspectives to understand learning, build autonomy and help education evolve.
Published articles
AI and Company Culture: What Everyday Reactions Teach Employees
A company can encourage AI experimentation while rewarding the habits it hopes to change. Start with the everyday reactions that teach employees what counts.
Smaller Teams or New Roles? What AI Team Design Needs to Resolve
An AI-supported team can look smaller while relying on work elsewhere. Leaders need to understand what changed, who supports it and which responsibilities still need a home.
How Graduates Can Build Credible Experience in an AI-Enabled Workplace
A polished project is only part of the story. Graduates need to show the problem they worked on, the choices they made and what changed after feedback.
AI and Jobs in 2030: Which Tasks Could Change—and What New Work Might Emerge?
The future of a job depends on more than what AI can generate. Follow a fictional research role to separate possible task changes, new work and uncertain employment outcomes.
The CEO's AI Decision: What Should Stay With Human Leaders?
A ranked recommendation can hide a choice about what matters. Follow a fictional expansion decision to see where AI analysis ends and accountable leadership begins.
Why AI Use Mandates Alone Don't Create an AI-Ready Workforce
A blanket instruction to use AI leaves important decisions unanswered. A fictional workplace example shows how leaders can ask for demonstrated capability and justified choices instead.
Who Owns Enterprise AI Adoption? The Roles of IT, HR and Business Leaders
An AI platform can be ready while the business is not. Follow a fictional rollout to see how operating ownership, technical support and workplace learning need to connect.
Enterprise AI in 2026: What the Evidence Shows—and What It Does Not
AI use is spreading, but the headline depends on what is being counted. A dated evidence brief for leaders separating adoption, worker practice, autonomy and business outcomes.
The Automated Company and the Learning Organization: Two Scenarios for 2030
Two companies use the same AI-enabled workflow. One processes exceptions; the other learns from them. The difference is an organisational choice, not a prediction about technology in 2030.
Shadow AI at Work: When Employees Use AI Without Approval
Unapproved AI use is a visibility problem as well as a behaviour problem. A practical analysis of what leaders need to learn before they respond—and how to make an approved route workable.
Small Business AI Adoption: Why Useful Experiments Can Stall
A useful AI experiment is only the beginning. For a small business, progress depends on whether the work remains manageable when deadlines tighten and the AI enthusiast is away.
AI Strategy Summit for Executives: Seven Decisions to Put on the Agenda
An executive AI summit should make strategic trade-offs visible. Use seven questions to prepare the evidence, identify who can decide and agree what happens after the offsite.
AI Transformation: Should Workflow Redesign Come Before Employee Training?
Training and workflow design answer different questions. A practical way to decide what employees need to understand now, what the process must specify and what should be practised next.
The Junior Talent Trap: Designing Entry-Level Work That Builds Expertise
Automating a task can remove a learning opportunity as well as production work. Employers need to specify what beginners will practise, who will review it and how responsibility will grow.
Is AI Making Employees More Capable—or More Dependent?
A strong AI-assisted result does not reveal everything about an employee’s learning. Look at the decisions people can make, the support they need and how they handle a changed task.
The Manager as Coach in the AI Era: Helping Teams Think Beyond the First Answer
AI can produce a polished plan before a team has examined its assumptions. A manager’s coaching role is to make the choices, constraints and next learning step clear.
AI Agents at Work: Who Is Accountable When They Make Mistakes?
An agent can change a record or send an invitation, but delegation still needs clear limits. A workplace scenario shows how to connect responsibility to permissions, review and recovery.
The AI Productivity Paradox: When Faster Work Does Not Yet Mean Business ROI
Faster drafts and shorter tasks can be useful without appearing as cash savings. A practical way to examine the gap between individual AI gains and business value.
Why Enterprise AI Pilots Fail to Scale: Five Gaps to Examine
A successful AI pilot can leave the operating process untested. Examine five gaps between a promising model and a workflow that teams can maintain, review and expand responsibly.
EIDU 2026: Planning Inclusion into Everyday University Teaching
EIDU 2026 puts inclusion at the centre of university teaching. This preview examines how institutions can move from individual workarounds towards planned participation without losing sight of academic goals.