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My Anti-Predictions for 2026
This is my first note of 2026.
Over the last few weeks, I’ve read a lot of predictions from respected leaders across warehousing, robotics, and AI. The excitement is real around AI, humanoids, and increasingly capable automation.
But every time I step back and think about how warehouses actually mature, especially when the rubber meets the road, I keep coming back to a different set of conclusions.
So rather than predictions, here are a few anti-predictions for 2026 things I don’t think will matter as much as the headlines suggest, and what I think will matter more instead.
1️⃣ 2026 won’t be won by fully orchestrated warehouses
It will be won by faster recovery.
There’s no shortage of talk about AI orchestrating everything end-to-end.
But on real operations, especially during Peak, the biggest cost usually isn’t that a robot slows down, or a zone backs up.
It’s the minutes lost debating why.
Is this a robot issue?
Congestion?
An upstream change?
Labor mix?
Something that happened an hour ago?
In most operations, recovery time dwarfs failure time.
In 2026, the teams that perform best won’t be the ones chasing perfect optimization. They’ll be the ones who can orient fastest when things wobble.
It won’t win awards.
But it will quietly save millions in avoided overtime, missed cutoffs, and lost throughput.
2️⃣ Design debt will matter more than new tech
And it will show up at the worst possible time.
Most warehouses aren’t outgrown.
They’re collided with.
Think of a layout optimized for 2019 single-item orders now trying to survive 2025’s mixed-case, high-variability waves. Nothing is technically broken but everything feels harder to run.
I’ve seen versions of this play out at scale too, including a recent case where a heavily automated e-commerce facility was shut down after the business outgrew the assumptions it was designed around. (For those interested, this article summarizes the situation well.)
It wasn’t an automation failure.
It was assumption drift.
You don’t outgrow your warehouse.
You collide with it and the repair bill is always higher than the redesign you postponed.
3️⃣ AI’s real value won’t be optimization
It will be triage.
I’ve spent time this year around AI teams and conferences. There’s real progress happening.
But Peak reframes the question.
Not: Can AI make the system smarter?
But: Can it help teams understand what’s happening faster when things go wrong?
The most useful AI during Peak doesn’t make decisions.
It narrows the problem:
“This looks systemic, not robot-specific.”
“This started upstream.”
“This pattern usually points to congestion.”
“Hardware metrics are stable, look at flow.”
Not answers.
Orientation.
In 2026, the real competitive moat won’t be who innovates fastest.
It will be who stays upright longest.
A simple lens to carry forward
As you reset plans for the year, here’s a question worth keeping close:
When something slows down, how quickly can your team tell what kind of problem it is and where to look first?
If a system, tool, or process helps you answer that faster, it’s worth your attention.
If it only shines when conditions are perfect, Peak will expose it.
- Parth
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