Change
Routine execution is being absorbed
Execution-layer work, such as repetitive coding tasks, is increasingly handled by models. What becomes scarce is the ability to formulate the right problems and solve them well.
AI Literacy & Shared Benefits for All
Finding a third path between AI hypergrowth and anti-AI trend.
We are running a pilot community project exploring practical, low-cost AI solutions. The community is for people and organizations interested in AI literacy, digital transformation, and broadly shared benefits. We explore broader applications of AI, including small businesses, education, remote communities.
Context
What has changed in the past five years?
Frontier models can now perform advanced mathematical reasoning and complex software generation. But this has not simply replaced professionals. Instead, it has raised the threshold of what professional work means.
Challenge
A gap in talent development
AI creates new challenges for existing talent development systems, while redefining the learning curve for both individuals and organizations.
Position
AI is not a temporary hallucination, nor a panacea.
We do not treat AI as a universal answer. We also do not treat rejecting AI as a moral position. The central question is whether AI is used in ways that produce real value and distribute its benefits more widely.
Misallocated Hype
Many organizations are spending heavily on RAG systems, local deployment, and AI transformation projects without clear use cases or measurable returns.
Unequal Access
AI capability is concentrated in a few regions, platforms, and organizations. Small businesses and underserved communities are often left behind.
Define "Fair Use of AI"
Fair use of AI should fulfill: 1) Create measurable improvements in productivity; 2) Ensure that the benefits of AI-driven progress are broadly shared across society.
SWE Transition in Practice
Exploring practical AI engineering workflows and low-cost implementation paths.
Field Research
Connecting AI adoption debates with real organizations, local contexts, and first-hand observations.
AI Commentary and Analysis
Long-term analysis beyond hype cycles, product launches, and short-lived trends.