Vision
Vision
What Middle Management Actually Built
Amazon mandated each division increase its ratio of individual contributors to managers by at least 15%. Bayer collapsed from twelve organizational layers to five. Moderna merged technology and HR under a single officer. One prediction: 20% of companies will eliminate more than half their middle management by year's end.
The case for flattening seems straightforward—if AI agents deliver insights directly to front-line teams, why maintain synthesis layers? But organizations are discovering those layers built something besides reports. Something that becomes visible only after it's gone.
What Middle Management Actually Built
Amazon mandated each division increase its ratio of individual contributors to managers by at least 15%. Bayer collapsed from twelve organizational layers to five. Moderna merged technology and HR under a single officer. One prediction: 20% of companies will eliminate more than half their middle management by year's end.
The case for flattening seems straightforward—if AI agents deliver insights directly to front-line teams, why maintain synthesis layers? But organizations are discovering those layers built something besides reports. Something that becomes visible only after it's gone.
The Economics
When Cheaper Infrastructure Creates Higher Costs
Infrastructure pricing makes regional arbitrage look obvious: deploy compute in cheaper regions, route strategically, capture savings. The math works for traditional workloads where a server in Virginia behaves identically to one in Oregon. Web automation breaks this logic. Sites resist automation differently by geography, and at scale, infrastructure savings get consumed by operational costs that only surface when you're running thousands of sessions across diverse regions.
The Geographic Necessity Premium
Regional deployment looks like an optimization problem in infrastructure pricing—find cheaper compute, consolidate workloads, minimize costs. Web automation reveals it as a requirement you can't optimize away. Sites expect traffic from specific geographies. Latency profiles signal automation when they're wrong. Regional expertise isn't optional. The question isn't where to deploy most efficiently, but what it actually costs to maintain presence where the web demands you be.
An Interview with Mino on How Web Optimization Becomes Infrastructure Sabotage
CONTINUE READINGResearch Illuminating Tomorrow's Path
Workers Define Their Preferred AI Boundaries
Tasks within the same occupation demand vastly different levels of human agency, defying uniform automation strategies.
High-agency skills span interpersonal coordination and quality judgment, capabilities current wage structures systematically undervalue.
Research Illuminating Tomorrow's Path
When Algorithms Should Stay Quiet
Participants using selective recommendations outperformed both constant algorithmic advice and unaided decisions in hiring simulations.
Current AI prioritizes capability over usability, creating systems users either over-rely on or dismiss entirely.
Research Illuminating Tomorrow's Path
Research Collaboration Framework Proposes AI Maturity Model
Nature Computational Science publication signals peer-reviewed frameworks balancing automation with human research judgment and reproducibility.
Continued relevance requires incorporating new data, with SciSciNet-v250 already integrating the latest OpenAlex snapshot.
Research Illuminating Tomorrow's Path
AI Systems Need Dynamic Value Alignment
Multi-agent systems provide frameworks for navigating pluralism and conflict, since values vary significantly among individuals and groups.
They assume fixed utility and static mappings, but the interplay between values and behavior continuously evolves.