Research profile

DevinFidler.

I am interested in understanding and tracking the forces shaping the future of organizations.

My work examines how technologies, labor markets, institutions, platforms, and new forms of intelligence are changing the ways people coordinate, decide, learn, and build things together.

Research focus.

Organizations are not just containers for action. They are coordination technologies. My work looks at what happens when those technologies are reshaped by software, platforms, artificial intelligence, changing labor markets, and new forms of collective intelligence.

I am interested in how organizations sense the world, allocate attention, distribute authority, make decisions, absorb new tools, and adapt under conditions of uncertainty.

This means treating companies, schools, governments, teams, markets, and platforms not as static structures but as evolving systems that can be compared, redesigned, and studied.

The central question is not only how technology changes work. It is how technology changes the forms of organization through which work becomes possible.

Open questions.

What is an organization becoming?

When communication, memory, analysis, and execution are increasingly mediated by software, the boundary between organization and technology becomes less stable.

What remains distinctly human inside automated systems?

As routine analysis and coordination are delegated to machines, human value may shift toward judgment, sensemaking, creativity, ethics, and interpretation.

How do platforms reorganize labor?

Platforms are not only marketplaces. They are also governance systems, reputation systems, and labor-market infrastructures.

Can institutions adapt at the speed of the technologies they govern?

Artificial agency and faster coordination strain older institutional operating logics and create a need for new forms of adaptation.

What kinds of intelligence can organizations use?

Expert networks, human computation, algorithms, and AI all expand the repertoire of intelligence available to organizations.

Concepts of interest.

Organizational technologies

Organizations can be studied as technologies for coordinating people, knowledge, incentives, attention, and authority. This frame makes it easier to compare firms, platforms, markets, protocols, and institutions as different solutions to the problem of collective action.

Idea thread: coordination as infrastructure

Software-defined management

Tasks, approvals, resource allocation, and accountability are increasingly shaped by software-mediated systems. Management becomes less a set of individual acts and more an evolving layer of rules, signals, workflows, and decision logic.

Idea thread: management as programmable logic

Platform labor

Platforms are not just marketplaces for matching workers and tasks. They are governance systems, incentive systems, reputation systems, and labor-market infrastructures that reshape how work is found, valued, measured, and distributed.

Idea thread: labor markets as designed systems

Human comparative advantage

As automation expands, the question shifts from which tasks machines can perform to which human capacities become more valuable. Judgment, interpretation, social intelligence, creativity, and contextual understanding become increasingly central.

Idea thread: human value under automation

Institutional operating systems

Institutions carry inherited assumptions about authority, legitimacy, accountability, and control. New technologies expose where those assumptions no longer fit, creating pressure for new rules, practices, interfaces, and forms of institutional adaptation.

Diagram logic: patching a legacy grid

Ways of seeing.

Foresight research

Structured inquiry into plausible futures and long-range implications.

Signal analysis

Finding weak indicators that point toward larger structural change.

Driver mapping

Locating the larger forces that reshape operating environments.

Scenario development

Multiple plausible futures for testing assumptions and choices.

Assumption testing

Making inherited beliefs visible enough to challenge.

Expert synthesis

Distributed expertise organized into usable intelligence.

Systems mapping

Seeing relationships among forces, actors, and incentives.

Concept prototyping

Models and artifacts that make organizational change easier to inspect.

Themes and projects.

The work is organized by recurring questions. Archived materials are threaded into those same themes rather than set aside as a separate historical section.

Bio.

Devin Fidler is a foresight strategist focused on emerging issues, technologies, and the changing ways people and organizations get things done.

His work has explored the future of work, enterprise, learning, platform labor, software-defined organizations, artificial intelligence, and the institutional implications of technological change.

Across this work, a recurring interest is how leaders can use better ideas, frames, and foresight methods to see shifts earlier, challenge inherited assumptions, and understand organizations as evolving systems for orchestrating knowledge, resources, and judgment.

Connect.

I am happy to connect with leaders interested in better navigating the territory ahead.

I am always open to continuing the conversation at devinjfidler[at]gmail[dot]com.

Selected disclosed organizations I have worked with

AARP

Agilent Technologies

Autodesk

AXA Group

BBVA

BMW

Campbell Soup

Clorox

Daimler

Diageo

Fairmont Hotels

GAO

Google

Honda

Humana

IBM

KnowledgeWorks Foundation

Lego

LG Electronics

Lowe's

Mars

Microsoft

NATO

Neustar

Nokia

nVIDIA

Reuters

RTI International

SK Telecom

Slack

Toyota

USPS