Background Texture
Current inquiryThe economics of machine intelligence

I study how intelligence becomes capital.

Economics sets the questions. Industry tests the answers. Technology determines the scale.

Across papers, evidence radars, and working systems, I examine how AI creates value, where its constraints move, and which risks accumulate faster than the evidence.

Four Worlds

An economist who learned to interrogate evidence, became an industrial operator, gained responsibility for enterprise capital allocation, and now applies those capabilities to cloud and AI transformation at global scale.

  1. 01Research
  2. 02Industrial Operations
  3. 03Enterprise Capital Allocation
  4. 04Platform Technology
Read the Four Worlds profile
Latest data storyAug 31, 2026

The scarce resource was supposed to be children

The scarce resource was supposed to be childrenThe under-twelve population across five European toy markets fell from 40.0 million in 2016 to 38.0 million in 2024. In a separate global series, toy sales rose from 98.9 billion dollars in 2020 to 123.0 billion dollars in 2025. The recipient segment aged fifteen and over may explain about 48 percent of the nominal market increase.Two windows · indexed separately · exact values labelledCHILD BASE · EU540.0m38.0m−5.1%GLOBAL TOY MARKET$98.9bn$123.0bn+24.4%Approximate growth contribution · derived from rounded inputs48%The industry found older recipients. Childhood still matters.
Demographic hedge, not demographic escape41.9bn DKK · LEGO H1 2026

The demographic and market series use different geographies and windows. Recipient age is not purchaser age; the 48% contribution is an approximate derivation from rounded public figures.

Source: Circana global toy-market series; Eurostat and ONS population data

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Monthly decision instruments

Radar intelligence portfolio

Four recurring views of industrial structure, enterprise transformation, AI capacity, and the research frontier in economics.

The Live Lab

Build with Intelligence

A hands-on curriculum for the modern builder. Master the Microsoft AI stack.

Enter the Lab
schym-lab — -zsh
U

Draft a strategic memo for AI adoption in Q4.

ReadyLn 12, Col 4
UTF-8TypeScript
The Data Narrative

Beyond the Hype: The Economic Reality

The divide between AI leaders and laggards is no longer theoretical. It is measured in trillions. Scroll to explore the data.

22%
Frontier Firms

$22.3 Trillion projected global economic impact by 2030.

IDC.2025.REPORT
FIG 1.0
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Return on Investment

0.8x
2.8x
Laggards
Frontier

Frontier firms realize nearly 3x higher ROI than their lagging peers.

IDC.2025.REPORT
FIG 2.0

Business Outcomes

Growth
Lag: 23%Front: 88%
Brand
Lag: 21%Front: 87%
Cost
Lag: 21%Front: 86%
CX
Lag: 23%Front: 85%
Laggards
Frontier Firms
IDC.2025.REPORT
FIG 3.0
13Months
2.3x

Agentic Speed

Agentic AI projects realize value in just 13 months with a 2.3x ROI multiplier.

IDC.2025.REPORT
FIG 4.0

The Strategic Pivot

40%
Pre-built
Solutions
70%
Customized
Strategy

Organizations are shifting massively toward tailored, strategic AI applications over the next 24 months.

IDC.2025.REPORT
FIG 5.0

The Frontier Elite

Only 22% of organizations have reached 'Frontier' status—unlocking a share of the projected $22.3 trillion global economic impact by 2030.

The ROI Multiplier

The gap is widening. Frontier firms realize 2.84x ROI on their AI investments, while laggards barely break even at 0.84x.

Outperforming the Rest

It's not just about efficiency. Frontier firms are 4x more likely to drive top-line growth, brand differentiation, and superior customer experiences.

Agentic Acceleration

Agentic AI is reshaping the timeline. Projects now average a 13-month realization period with a 2.3x ROI multiplier.

The Strategic Pivot

The era of off-the-shelf AI is ending. 70% of organizations are shifting to customized, strategic AI solutions to drive unique competitive advantage.

A four-room history of economic thought

Economics, Evolving

Economics rarely discards an idea. More often, it discovers the boundary at which the idea stops being sufficient.

40 works · 1776–present · Four reader roles

  1. 01Coordination1776–1936The Market Is Invented—Then It BreaksRestore
  2. 02Control1936–1980The Economy Learns the RuleDecide
  3. 03Connection1980–2015The Digital TurnTrace
  4. 04Cognition2015–presentThe Intelligence AgeJudge
Interactive History

World OrderWorld OrderWorld Order

Trace the rise and fall of 14 global powers across 1,000 years of economic history.

Timeline
960 AD - 2025
Empires
14 Major Powers
Data Points
Economic GDP
Mission Control

Strategic Roadmap

This platform is a living digital garden. I am continuously building, refining, and expanding its capabilities. Explore the horizons below to see what is currently in execution, what is coming next, and the long-term vision.

NOW

Execution Phase (4 Weeks)

RPG Character ProfileGamify the about section with stats and skills.
Launch Homepage V2Deploy Next.js + D3 stack to Azure Static Web Apps.
Microsoft AI Tour KeynoteFinalize 'Leadership in the Age of AI' deck.
Publish 'Algorithmic Manager'Deep dive into AI-driven organizational hierarchies.
LinkedIn Growth StrategyResume weekly data storytelling posts.

NEXT

Platform Expansion (3-6 Months)

Azure AI IntegrationConnect Knowledge Graph to live Azure OpenAI endpoints.
Interactive Econ SimulationsPort 'The GDP Race' to full 3D interactive module.
Book Draft: 'The Agentic Firm'Complete first 3 chapters on autonomous enterprise.
Launch 'Econ of AI' NewsletterWeekly briefing for 5k+ subscribers.

BEYOND

Visionary Horizon (6-18 Months)

The Agentic Firm SimulationFull-scale multi-agent economic modeling platform.
Global Speaking TourKeynotes in London, New York, Singapore.
AI Governance FrameworkOpen-source standard for enterprise AI safety.
Consulting Services

Bridging the gap between technical reality and business strategy.

From keynote speaking to strategic advisory, I help organizations navigate AI transformation, translate data into decisions, and build intelligence-age capabilities.