Will “Ontology Velocity” Pick the AI Economy’s Winners?
More important are dynamic optimization engines. By recognizing that ontology velocity dictates long-term market leadership and structural margin expansion, long-term investors can identify mispriced platform assets before the broader market recognizes their compounding earnings power.
ICT4D and the Geography of AI Computation
The geography of computation is ultimately a geography of opportunity. The central development challenge is no longer simply getting people online. It is ensuring that they can capture data, represent their own realities, retrieve knowledge, access computation, connect tools, coordinate intelligent systems, and convert computational capacity into meaningful action.
The TSM Graduate in the AI Workplace
Citation APA (7th Edition) Pennings, A.J. (2026, Sep 06) The TSM Graduate in the AI Workplace. apennings.com https://apennings.com/digital-coordination/the-tsm-graduate-in-the-ai-workplace/ Introduction This post frames one version of the TSM graduate as a systems manager who is technically fluent enough to work directly with AI and technical specialists, but whose primary responsibility is integrating technology with organizational objectives. […]
Combining AI with Technological Systems Management (TSM) to Create Integrated BS, MS, and PhD Degrees
Combining STS-informed AI strategies with Technological Systems Management and creates degrees that unite intellectual depth with practical capability in management, innovation, policy, and technical skills. Anchoring those degrees in an ICT4D / AI for Good mission, with a strong international outlook and explicit commitment to sustainable development, makes the model more coherent, more distinctive, and more urgently needed. Such BS, MS, and PhD programs would prepare a generation of professionals and scholars capable of shaping AI systems that are not only technically effective and well-managed, but also equitable, context-sensitive, globally responsible, and genuinely supportive of sustainable human development. That integrated capacity represents one of the most valuable contributions engineering and STS education can make in the age of artificial intelligence.
Designing a Global AI Engine for Monetary Coordination
AI should not be viewed simply as another analytical tool. Its larger role is to become coordination intelligence. Traditional spreadsheets computed formulas written by human analysts. AI continuously evaluates millions of relationships simultaneously, identifying emerging imbalances, forecasting liquidity needs, and recommending adjustments as conditions change.
Remediation and Spreadsheet Logic: Meaning and Certainty Through Hypermediacy?
The most important conclusion is that the spreadsheet creates a distinctive form of authenticity.
Beyond the China Price: Can Democrats Shape a New Industrial Strategy for the AI World?
The age of cheap Chinese labor may be ending, but the age of cheap goods is not necessarily ending with it. Rather, the source of affordability is shifting from human labor to machine intelligence. China could easily stay in the game. The next chapter of globalization may therefore be defined not by where factories are located, but by how effectively computation itself becomes a factor of production.
The Global Spreadsheet Goes Distributed: Blockchain, USD Liquidity, and Time-Space Power
Blockchain creates a new form of time-space power that is globally distributed, computationally recursive, continuously synchronized, and increasingly programmable.
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About Me
Professor (full) at State University of New York (SUNY) Korea since 2016. Research Professor for Stony Brook University. Moved to Austin, Texas in August 2012 to join the Digital Media Management program at St. Edwards University. Spent the previous decade on the faculty at New York University teaching and researching information systems, digital economics, and global political economy
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anthony.pennings@sunykorea.ac.kr
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