“When Execution Becomes Abundant” made an argument I still think is right: when a fleet of agents does most of the building, the constraint doesn’t disappear. It migrates to Product — to decision bandwidth, to the fidelity of what the fleet is given to execute against. Solve that, the piece argued, and you capture the throughput the fleet was supposed to deliver in the first place.
Solve it, though, and something else is waiting on the other side.
The bottleneck after the bottleneck
Todd Blaquiere, CPO at BetterRX, described his company’s situation plainly in a recent episode of The Product Porch: development is no longer the bottleneck. Customer absorption is. They are shipping faster than customers can adopt what’s already been built.
Read that next to the fleet thesis and it lands differently than a stray anecdote. It’s the sentence “When Execution Becomes Abundant” stopped one beat short of. That essay’s whole argument was: if execution gets cheap, the constraint moves to whoever is left standing when the code stops being the limiting factor — and it stops at Product, because Product is where discovery and decision-making live. But Product isn’t actually the last stop. It’s just the last stop inside the org. Past it is the customer, and the customer has never once agreed to move at the pace your fleet can generate features.
BetterRX is a preview of what happens to an org that actually wins the fight the fleet thesis describes. They didn’t fail to fix the Product bottleneck — by Blaquiere’s own account, they cleared it. Development moves. And clearing it didn’t produce the payoff. It produced a second wall, previously invisible, because the first one had always been standing in front of it.
Two constraints, and only one of them is yours
The reason this deserves its own name instead of folding into “Product is the bottleneck now” is that the two constraints don’t behave the same way, and conflating them will send an org optimizing the wrong lever.
Product’s discovery bottleneck is internal. It’s bounded by headcount, process maturity, tooling, org design — all things you can, with enough investment, actually change. Hire more PMs. Build a backplane so decisions don’t have to be re-litigated per project. Get sharper at problem framing. Every fix “When Execution Becomes Abundant” proposed is a fix you apply to yourself.
Absorption doesn’t move that way. It’s bounded by how much change a customer’s workflows, habits, and trust can take on in a given stretch of time, and none of the levers that fix a Product bottleneck touch it. You cannot hire more of your customer’s attention. You cannot instrument your way to a faster change-tolerance curve in someone else’s organization. A hospital’s billing staff, a school district’s IT department, a small business owner running the shop alone — each has a rate at which a new capability can actually get learned, trusted, and folded into how work gets done, and that rate was never a function of how good your discovery loop is. It’s a function of their life, not yours.
That’s the distinction worth being precise about: one bottleneck is a mirror, and the other is a wall. You can get better at the mirror. The wall doesn’t care.
Why it stayed invisible this long
Here’s the part that connects back to the older argument about friction moving from external to internal, and it explains why almost nobody has had to name this constraint until now. For the entire history of software, the org’s own bottleneck was almost always the tighter one. Development was slow enough, discovery was slow enough, that shipping cadence rarely got anywhere near the ceiling a customer base could actually absorb. The absorption wall was there the whole time — it just sat behind a fence built out of your own slowness, so you never walked into it.
Fix the mirror and the fence comes down. That’s the uncomfortable symmetry: an org that does everything right — clears its Product bottleneck, builds the backplane, gets its discovery loop humming at the fleet’s pace — doesn’t get rewarded with unlimited throughput. It gets rewarded with the first unobstructed view of a constraint that was always there, wearing your own slowness as camouflage.
What this means for the loop
This isn’t an argument for staying slow on purpose, and it isn’t a reason to distrust the fleet thesis. It’s an argument that “ship it” can no longer be the automatic next step once acceptance criteria are met. Right now, most of the AI-First SDLC’s discipline sits upstream of release — the Discovery loop decides what’s worth building and validates it before it crosses into Delivery. Almost nothing in the loop asks, once something is built and correct, whether the market on the other end has room for it yet.
That has to become a real question with a real owner, not a hope. An org running a fleet at full throughput needs to track absorption the way it already tracks velocity — support ticket volume as a proxy for change fatigue, activation and time-to-value on the last several releases as a proxy for whether customers are still catching up, direct signal from customer success on whether the last thing shipped has actually been adopted before the next thing lands on top of it. None of that is exotic. What’s new is that it has to be load-bearing, because the fence that used to make it optional is gone.
The organizations chasing fleet-scale execution are, almost without exception, optimizing for the mirror. They’re right to. It needed fixing, and BetterRX is proof that fixing it is possible. But fixing it doesn’t finish the job — it just relocates the finish line to a constraint the org has never had to manage before, because it never got there fast enough to meet it. The next thing worth building, right alongside the discipline of deciding what to ship, is the discipline of deciding when the market is actually ready to receive it.
Source. Suhail Vawda, “The AI Product Manager Skills Every PM Needs In 2026 (Hint: It’s Not Just AI),” Productside blog, published May 12, 2026: productside.com/top-ai-product-manager-skills-in-2026. The Todd Blaquiere / BetterRX characterization — that development is no longer the company’s bottleneck, customer absorption is — is Vawda’s paraphrase of remarks Blaquiere made on The Product Porch podcast; Productside’s own citation links to the show’s general page rather than a specific episode, so that characterization is reproduced here secondhand, as Vawda reported it, and has not been verified against a primary transcript of the episode itself. I have no relationship with Productside, Suhail Vawda, Todd Blaquiere, or BetterRX.