AI Skills6 min
The State of AI-Assisted Learning in 2026: What Changed and What Matters
A dated, falsifiable interpretation of richer AI learning workflows, persistent outcome gaps, learner rights, assessment, and human responsibility.
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The Window
See the shift beneath the news.
Selective interpretation of changes that alter how adults learn, work, and preserve human judgment.
20 published
The Window library
Every page has one canonical home and remains connected to its primary learning domain.
AI Skills5 min
From Model Capability to Workflow Adoption: The Gap That Will Define the Next Phase
A structural map of why rapid AI capability gains do not automatically become reliable organizational performance, and which adoption signposts matter.
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Thinking & Decisions5 min
The Cost of Intelligence Is Falling. The Cost of Judgment Is Not
Why cheaper generation can move cost into verification, choice, accountability, and correction—and how to distinguish abundance from value.
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AI Skills5 min
AI Agents Are Improving. Are Organizations Ready to Absorb Them?
A readiness test for agentic AI that separates technical progress from identity, authorization, data, observability, evaluation, and incident capacity.
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Learning Science5 min
When Synthetic Content Becomes the Default Input to Human Learning
How abundant generated text, images, and explanations could reshape selection, provenance, reading, assessment, and the learner’s epistemic duties.
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AI Skills5 min
The New AI Divide: Those Who Can Evaluate Systems—and Those Who Can Only Use Them
A structural account of why access and interface fluency may matter less than the ability to test claims, boundaries, failures, incentives, and deployment.
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Work & Career5 min
The Return of Tacit Knowledge in an Age of Explicit Answers
Why abundant explicit answers may increase the value of situated perception, relationships, practice, exception handling, and knowledge that resists prompts.
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Learning Science5 min
What Happens to Expertise When Novices Can Produce Expert-Looking Work?
A structural analysis of how fluent AI-assisted output can separate appearance from capability, reshape assessment, and either accelerate or conceal learning.
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Reading & Knowledge5 min
The Verification Tax: Why Cheap Generation Makes Trusted Knowledge More Expensive
A structural analysis of how abundant plausible content can shift cost toward source identity, provenance, appraisal, synthesis, and accountable correction.
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Work & Career5 min
From Jobs to Tasks to Accountability: The Real Unit of AI Change
Why AI exposure begins at tasks, work redesign happens across workflows, and the decisive boundary is who owns outcomes, exceptions, and correction.
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Work & Career5 min
The Quiet Rebundling of Knowledge Work
How AI may separate, relocate, and recombine research, production, review, coordination, and responsibility before occupations visibly change.
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Work & Career5 min
The End of the Entry-Level Learning Ladder? AI and the Future of Apprenticeship
A scenario map for what happens when AI absorbs junior production tasks that also taught observation, repetition, feedback, exceptions, and trust.
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AI Skills5 min
AI Fluency Is Spreading Faster Than AI Governance
Why rapid tool use can outrun authority, evaluation, incident response, and worker participation—and which governance signposts show real institutional learning.
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Language Learning5 min
The Multilingual Intelligence Shift: Who Gains When Translation Becomes Ambient?
A scenario analysis of how ambient translation can expand access while redistributing power through language quality, cultural fit, data, and verification.
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Learning Science5 min
Education After the Take-Home Essay: What Assessment Must Now Prove
A structural redesign of assessment around reconstruction, process, performance, transfer, tool judgment, and proportionate evidence of learning.
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AI Skills5 min
The Rise of Personal AI Workspaces: Memory, Context, and Dependency
A structural analysis of persistent AI workspaces as cognitive infrastructure: their leverage, memory risks, portability boundaries, and dependency tests.
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AI Skills5 min
The Physical Infrastructure Behind “Abundant Intelligence”
A structural map of the electricity, grids, data centers, chips, capital, and geography concealed by the metaphor of nearly free digital intelligence.
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Reading & Knowledge5 min
Who Owns the Learning Record? AI Tutors, Personal Data, and Portability
A rights-and-infrastructure map for the records AI tutors create: source data, inferred profiles, achievements, corrections, export, deletion, and control.
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Reading & Knowledge5 min
From Search to Synthesis: What Changes When Answers Arrive First
How answer-first interfaces reorder inquiry, source discovery, appraisal, and synthesis—and how to preserve intellectual agency without rejecting assistance.
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Thinking & Decisions5 min
The AI-Era Signpost Ledger: What to Watch Through 2027
A falsifiable ledger of capability, adoption, work, trust, learning, multilingual access, and infrastructure signals—without pretending to forecast.
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