FIT: Fatigue, Interloper, Thrive
Most people experience technology
change as a blur: a new gadget appears, a job changes, something feels harder
or less secure, and we move on. My career in computing, which began in 1968,
taught me to see these shifts as part of a repeatable pattern. I call that
pattern FIT: Fatigue – Interloper –
Thrive.
FIT is a simple way to understand how
systems change—people, organizations, technologies, even our daily habits. It
describes how something new crosses a boundary, exhausts what used to work, and
forces us either to adapt or decline.
In this article, I’ll explain the FIT
pattern, show how it appeared in real industrial transitions I lived through,
and then broaden it to everyday life.
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FIT stands for:
·
Fatigue – The system is under strain. The
old way still operates, but it is costly, brittle, or falling behind.
·
Interloper – Something crosses a boundary and
takes over part of the system’s work: a technology, a process, a rule, a habit,
even a person.
·
Thrive – The system either reorganizes
around the interloper and becomes stronger, or fails to adapt and loses its
ability to thrive.
The key move in FIT is the interloper. Interlopers are
boundary‑crossers. They insert themselves where some group once had exclusive
competence, control, or identity. The result is fatigue on the old side of the
boundary and a chance—though not a guarantee—to reorganize and thrive in a new way.
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Case 1: Wang and the Legal Secretaries
In the 1970s, law firms needed exact,
flawless copies of contracts. That work belonged to highly skilled legal
secretaries using IBM typewriters and carbon paper. Legal secretary was a
professional occupation, with real expertise and predictable job security.
Then came dedicated word processors
such as the Wang systems installed in many legal offices.
·
Fatigue – As firms demanded more documents,
revisions, and speed, the traditional typing workflow became a bottleneck. The
labor and time cost were high, and the market was pushing for more throughput
and flexibility.
·
Interloper – The word processor entered the
office as a “tool,” but it didn’t just assist the secretaries; it replaced the core skill: precise
creation and duplication of contracts. The system, not the person, now held the
authority over formatting, correction, and storage.
·
Thrive (or not) – The business thrived: faster
documents, easier revisions, new possibilities. But the labor segment built
around the old craft fatigued and, for many, failed to thrive. The interloper
didn’t just help them; it hollowed out the economic value of their particular
skill.
In FIT terms, the interloper was the replacement. The
secretaries didn’t simply gain a new tool; the core of their work migrated into
silicon.
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Case
2: GM, Saturn, and Robotics
In the 1980s, General Motors faced
fierce competition from Japanese automakers who offered reliable, high‑quality
small cars. The traditional GM plants were struggling to match that quality and
efficiency under existing processes and labor relations.
GM’s answer included the Saturn
project: a new car line, a new plant, and a new manufacturing philosophy built
around robotics and rethought labor agreements. In 1984, IBM hired me to work
with GM research to help design the robotics data networks for this new
environment.
Seen through FIT:
·
Fatigue – The existing plants and labor
models were under pressure. Quality and productivity were lagging, and the
global market was making that pain visible.
·
Interloper – Robotics and tightly integrated
automated systems were introduced as the new core of production. They crossed
into work that had long been the domain of line workers and traditional job
classifications.
·
Thrive (contested) – The Saturn idea was to pair
automation with new forms of cooperation and skill, so workers and machines
together could thrive. The longer history is complicated, but the pattern is
clear: robotics acted as an interloper
into a protected domain of human work. Some roles were upgraded, many were
displaced, and the system never fully stabilized in the “thrive” state that had
been promised.
Again, the interloper was not a
person but a system—a coordinated
technology and process that claimed core productive functions.
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These stories led me to what I call the Interloper Phenomenon: the recurring way an external system crosses into a human domain, exhausts the old pattern,
and forces a choice between adaptation and decline.
In the Wang story, the interloper is
word processing.
In the Saturn story, the interloper is robotics.
In both, the interloper:
·
Crossed
a boundary (from “tool at the edge” to “center of production”).
·
Took
over the core value‑producing activity.
·
Reshaped
or erased existing skill‑based roles.
Once you see this structure, you can
see FIT everywhere.
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Not every interloper destroys a role.
Many interlopers arrive as repair
technicians of a sort: they fix fatigue and restore thrive.
Consider two common examples:
·
Doctors treating injuries
The interloper is the injury or disease—a disruption of the body’s normal
homeostasis. The doctor’s job is to detect the interloper, manage the fatigue
(pain, functional loss, risk), and help the patient’s system reorganize so they
can thrive again. The interloper never stops existing as a possibility, but the
person becomes more knowledgeable and sometimes more resilient.
·
Auto mechanics fixing brake problems
Here the interlopers are wear, heat, contamination, and misuse. Mechanics
diagnose these interlopers, remove or mitigate them, and tune the braking
system so the car can thrive—stop safely, predictably, and with less stress on
components.
In these cases, technicians are specialists in FIT: they understand what “thrive”
looks like, they know how fatigue shows up in their domain, and they are
trained to spot and neutralize interlopers.
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Research and Engineering as FIT Disciplines
The FIT pattern also illuminates how
research and engineering behave.
·
Research often begins with a puzzle: Why is
this system fatigued? What keeps it from thriving? Research hunts for hidden
interlopers—viruses, misalignments, feedback loops, stressors—and documents how
they operate. Good research enhances thrive by revealing the interlopers that
cause or prevent fatigue.
·
Engineering usually begins with a use case: What
do we want this system to do, reliably, under stress? Engineering anticipates
interlopers (load, wear, noise, mistakes), designs how they will be handled,
and tunes the system so it can maintain or regain thrive. A robust design
assumes interlopers are inevitable and arranges for fatigue to be monitored and
managed.
Seen this way, research maps the landscape of interlopers; engineering
designs paths through that landscape
that keep systems in a thriving region rather than a failing one.
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Most daily life skills are quiet FIT
routines.
·
Time
management: noticing task overload (fatigue), spotting the interlopers
(distractions, unrealistic commitments), and restructuring your schedule to
reclaim the ability to thrive.
·
Relationships:
recognizing emotional fatigue, identifying interlopers (resentment,
miscommunication, third‑party pressure), and practicing repair to restore trust
and joy.
·
Health
habits: detecting early signs of fatigue (sleep, mood, energy), identifying
interlopers (diet, stress, inactivity), and making adjustments that restore
vitality.
We typically call this “coping,”
“maintenance,” or “self‑improvement,” but structurally it is the same FIT loop:
detect interlopers, manage fatigue,
cultivate thrive.
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We are living through a period of
dense interlopers: AI systems, automation, platform economics, and social
changes that repeatedly cross boundaries once guarded by human skills and
institutions. The Wang and Saturn stories were early signals of something much
larger.
The FIT model gives a language for
asking sharper questions:
·
Where
is fatigue showing up in this system?
·
What,
exactly, is the interloper? A technology? A policy? A habit?
·
Who or
what gets to thrive after the interloper arrives? Who doesn’t?
·
How can
we design roles, tools, and institutions so that people, not just technologies,
are able to thrive?
I developed FIT out of lived
experience—the feeling of watching tools I helped build “hack” jobs and
reorganize lives. It is not an abstract theory; it’s a way to make sense of the
trade‑speak, shop‑floor stories, and personal histories that surround technological
change.
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