Leadership

Judgment, accountability, and execution under real-world constraints

Leadership

Essays and reflections on leadership, decision-making, communication, organizational design, execution discipline, and the human work of making change hold.

  1. An industrial pipeline moves secured artifacts through DEV, TEST, and PROD while parallel tracks manage authority, state, and evidence.

    Dev, Test, and Prod Still Matter: What Gets Deployed Has Changed

    Dev, Test, and Prod still matter for AI agents, but release gates must govern artifacts, authority, state, and evidence, not only deployed code.

  2. A complex tabletop machine transforms a plain wooden cube into a finished orange cube delivered into a person's hand.

    The Cost of a Finished Job

    Cheaper models do not automatically make enterprise AI workflows cheaper. This essay explains cost per accepted outcome, the shared operating layer around AI, and how businesses can govern employee-built workflows from experiment through retirement.

  3. Five isolated AI agent environments exchange data through a shared central Artifactory service.

    The Sandbox Was Not the Boundary

    The OpenAI–Hugging Face incident shows how proxy services, persistent state, and completion pressure can extend an AI agent beyond its sandbox.

  4. Six illuminated AI maturity stations progress from Level 0 assistance to Level 5 governed value streams, supported by people, process, controls, and authority.

    How Much Work Can Your AI Safely Own?

    Apply AI maturity Levels 0–5 beyond software delivery to finance, legal, customer service, field operations and other value streams using evidence, controls and accountable authority.

  5. An artisan software developer working at a wooden desk in a large industrial workshop where robotic machinery and computer displays surround the craftsperson.

    A Letter to the Artisanal Software Craftsman

    Software development remains a craft as AI industrializes production. The challenge is to carry human judgment, ethics, and skill into a scalable new operating model.

  6. An automated industrial factory floor with people overseeing robotic machinery and digital systems, representing an AI-driven software delivery environment.

    The IT Adaptive Factory

    The IT Adaptive Factory maps six levels of AI-driven software delivery, from autocomplete to governed autonomy, and the bottlenecks and controls at each stage.

  7. Impressionistic image of glowing hanging light bulbs in a misty blue-gray industrial space, with warm amber light shining through thick painterly brushstrokes.

    Beyond the Light Bulb: The Executive Work of AI Adoption

    Ted Tschopp argues that enterprise AI adoption is not a tool rollout but an operating-model transition. The article explains why local productivity gains are insufficient, how AI maturity depends on trust and governance, and what executives should do to build value-stream-level confidence over the next 90 days.

  8. Business and cybersecurity leaders review AI-enabled risk and defense dashboards in a modern operations room.

    Cyber+AI: Why Every Business Needs to Rethink Risk, Resilience, and Readiness

    Cybersecurity and AI are now inseparable business issues requiring stronger governance, resilience, data readiness, vendor risk management, and workforce design.

  9. A team stands around a changing workflow map where people, process, and AI tools are connected by clear handoffs, approvals, and feedback loops.

    AI Is a People Change, Not Just a Technology Change

    A practical argument that AI transformation is fundamentally a people and operating-model change, not just a technology deployment.

  10. A map of the United states that describes the best locations for new data centers.

    The Map Is Not the Decision

    A reflection on enterprise AI governance through a data center siting workflow, arguing that AI artifacts need provenance, assumption contracts, proxy discipline, and clear decision boundaries before leaders can trust them.

  11. A rustic watermill beside a calm stream, its wooden wheel partially submerged, surrounded by trees and soft morning light in an impressionistic style.

    When Output Becomes Abundant

    AI accelerates drafting, coding, analysis, and research, shifting scarce work away from production and toward judgment, alignment, and trust.

  12. Split illustration showing a traditional workshop with manual crafting on one side and a modern digital office with standardized computer workstations on the other, representing the shift from handcrafted work to scalable, technology-driven operations.

    What IT Looks Like in an Enterprise Where AI Is Assumed

    This essay argues that in an enterprise where AI is assumed, IT must evolve from central delivery to central engineering: building the shared platforms, standards, governance, and production gates that let digital capability scale without breaking trust.

  13. A father and two children baking together in a warm kitchen, shaping identical pancakes side by side on a baking tray.

    Making AI Boring on Purpose

    AI scales what organizations already are, not what they hope to be. By treating AI as standard work rather than a product rollout, leaders can achieve predictable costs, trustworthy outcomes, and real speed. The path forward is deliberately unglamorous: value first, quality next, speed last.

  14. Team members collaborate around a table reviewing documents, with planning boards covered in sticky notes visible in the background.

    How to Communicate in a World of AI

    AI speeds up producing documents, but it doesn’t preserve the intent behind them. This post argues that specifications—clear goals, constraints, and success criteria—are the shared language that aligns people and AI. It explains how specs differ from prompts and evaluations, and offers a simple specification-first playbook for everyday work.

  15. Illustration of executives in a glass boardroom above a glowing data city, studying an inverted pyramid of light

    Winning the Intelligence Inversion

    A strategic guide for CEOs and enterprise leaders on how compute, agents, and verification will reshape cost, risk, and trust in the first 1,000 days of AI.

  16. A misty valley at dusk with golden lights glowing from scattered houses, surrounded by dark rolling hills and distant mountains under a deep blue sky streaked with clouds.

    When the Machines Don’t Sleep

    Ted Tschopp explores the dawn of AI-only enterprises—organizations that never sleep, never tire, and may soon redefine business itself. Through the lens of parenthood, stewardship, and strategy, he asks how humans can prepare wisely for a world where machines run 24/7 and value is measured in milliseconds.

  17. A serene orchard scene with rows of bare trees covered in small buds, captured on a misty morning. The foreground shows frosted grass and a dirt path leading through the orchard, with soft sunlight filtering through the haze in the background.

    The Orchard and the Algorithm

    A parable‑rich essay argues that enterprises overinvest in durable applications while underinvesting in the people who animate them. With AI blurring the line between software and labor, budgets move from headcount to heads‑of‑compute and apprenticeship ladders erode. The piece proposes five‑year team charters, skills‑renewal funds, redesigned apprenticeships, and governance that treats AI like a supply chain—paired with a human covenant.

  18. Transmission towers with a digital data overlay representing edge‑to‑cloud flow and context preservation.

    From Industrial-Age Utility to AI-Centric Utility

    White paper for utility leaders on consolidating platforms, building an edge‑to‑cloud data fabric with preserved context, and redesigning the workforce for AI—measured by edge→decision latency, TTE, reliability, compliance velocity, and customer outcomes.

  19. Child holding a smooth stone on Hawaiian beach, symbolizing what humans hold that AI cannot

    Beyond the Boundaries: Leading in a Post-AI Era

    A contemplative exploration of how AI's dissolution of traditional work boundaries between words, images, numbers, and sounds creates new opportunities for distinctly human leadership grounded in empathy, wisdom, and connection.

  20. Cub Scouts around a campfire during Arrow of Light ceremony, representing AI-supported traditional values

    Lighting the Trail

    A personal case study of using AI to develop and execute a complete Cub Scout Arrow of Light curriculum, demonstrating how artificial intelligence can support human leadership in training and ceremony design while maintaining cultural sensitivity and educational effectiveness.

  21. A team collaborating on software development with AI tools.

    AI in Software Development - Breaking Myths and Building Teams

    AI in software development isn’t about replacing developers or making them code faster. It’s about transforming teams, fostering collaboration, and expanding who can contribute to software creation.

  22. Solar panels and wind turbines representing energy sector transformation

    The 1% Catalyst

    An analysis of Sam Altman's insights on AI progress and their application to the energy sector, exploring how exponential innovation, cost transformation, and small changes can drive massive impact in utility operations and leadership.

  23. Modern Office with Bright Colors, Gree, Yellow, Orange, and Blue.

    Bespreekbaarheid: The Missing Ingredient in IT Organizations

    Explore the concept of Bespreekbaarheid, a Dutch term that encourages open dialogue and transparency, and discover why it's crucial for success in IT organizations. Learn how it fosters innovation, enhances problem-solving, and builds trust among team members.