(2026-05-30) If You Think In Systems And See Patterns That Others Don't, This Is Your Moment
Judy Grupenhoff: If You Think In Systems (Systems Thinking) and See Patterns that Others Don't, This Is Your Moment.
Update: The response to this article was impossible to ignore. I wrote a follow-up reflection about what happened after publication and the conversations that emerged: What Happens When The Room Gets Bigger?
Back in the mid-80s, in my undergraduate computer science days, I was given an assignment to use the LISP programming language to solve a problem.
LISP used something called recursive code — the ability of a function to call itself, folding back on its own logic until the problem was reduced to parts that could then be reassembled into a solution.
For me, this was mind candy. And down the rabbit hole I went. When I came out the other side I had a three-line solution.
*kept gushing about the “elegant” solution I had come up with, as though I had done something clever.
I hadn’t. I had simply found a language that worked the way my mind works — folding back on itself, seeing the recursive structure of the problem whole rather than building toward it step by step.*
My path through life has not been linear. Not even close.
Computer science. Consciousness research. Wisdom traditions. Energy healing. Psychology. Nutrition and mind-body wellness. From the outside, these looked like completely different explorations — a resume that couldn’t make up its mind.
But for me they were never separate. They were different facets of the same unified system. Each facet internally consistent. Each one describing a different aspect of the same underlying reality and the rules to work within it.
Because, for me, that’s where the truth was. Not in the facet itself but in how the facets related to and illuminated one another.
We are not simply living through technological change. We are living through something larger — the moment when the dominant way of thinking about the world has started hitting the edges of what it can explain.
For four centuries, Western thinking has been dominated by a single operating principle: break the problem into components.
interactions are now generating problems that sequential thinking cannot solve.
You cannot solve climate change one variable at a time. You cannot fix institutional trust by optimizing individual departments
These are not complicated problems. They are complex ones — and the difference matters. Complicated problems have parts that can be solved separately. Complex problems only make sense as wholes.
Sequential thinking was built for complicated. This moment is complex. (Complex systems)
Now add AI and the paradox sharpens.
the question is no longer how humans can compete with machines on sequential terms. That race is over. The question is what humans can contribute that single-stream processing — however fast, however powerful — cannot.
ability to hold several systems in parallel and find meaning in the patterns and connections (associative) between them. Not optimization within defined parameters. The capacity to see across models — to notice what each leaves out, what the intersection reveals, what only becomes visible when you step back far enough to see the whole shape at once.
For most of their lives they’ve been misunderstood when they tried to explain what they were seeing. Not silenced — just not followed. The eyes that glaze over mid-explanation. ((2026-05-17) Brodmerkel How Organisations Teach Us Not To Think | (2026-06-05) Brodmerkel You Solved It, The Institution Didn't Notice)
Here is what I’ve discovered working with AI as a thought partner: it can receive the parallel streams.
Not as a single processor running faster. As something closer to a translation layer — able to take the simultaneous, multi-stream shape of my thinking, find the threads, name the overlaps, and render what was tangled into something followable.
It’s that the full shape can finally come out without me having to be my own translator. I don’t have to flatten the thinking before I hand it over. I can arrive with all the streams running and work from there. The recursion doesn’t have to slow down to fit the conversation
Using AI not to accelerate the single stream, but to finally make parallel processing legible. To let the people who have always been tracking multiple systems simultaneously stop flattening their thinking and start transmitting it whole.
Translation, not replacement. Liberation, not diminishment.
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