2026 Is The End of the Robotic Human

I have spent my career watching companies use software as a high-tech shield to avoid actually talking to their customers. We built "spam factories" in sales. We hid behind "scheduling links" to avoid the friction of coordination. We spent months in "plumbing meetings" to justify our existence while the actual revenue leaked out of the pipes. The reality is that we have reached the end of the Efficiency Era where we tried to turn humans into high-speed robots. Now that actual AI agents are here to handle the "low-IQ operational sludge," most leaders are having a mid-life crisis because they have forgotten how to be relational.

This is the GTM Rewrite. It starts with the Leadership required to manage a digital workforce. It requires the Hard Reality that transformation is a messy, operational services problem. We have to stop hiding in the Plumbing of our CRMs and start using AI where it actually wins: in Coordination, not just persuasion. This is not about doing more work. It is about using AI to remove the friction so we can finally return to executive selling and human trust. Here is the reality of the shift.

Fortune just called managing AI agents the next leadership test. I think they are right. Once AI agents start operating across functions the real bottleneck is management.

Most leadership teams can barely manage humans. Now they’re about to supervise thousands of digital workers operating 24/7 across every system in the company.

That’s a very different company than the one most leaders know how to run today.

If you cannot manage the outcome, you cannot manage the agent. But before you can manage thousands of digital workers, you have to realize that getting them to actually work is an operational battle, not a weekend project.

Everyone screaming “AI replaces services” is wrong. OpenAI raised $4B to build… a services company. Think about how insane that is. For the last couple years the AI crowd mocked consultants, implementation teams, RevOps, and basically anyone tied to services.

Total BS. We’ve got an operational deployment problem, my friends. It turns out getting AI to work was hard. But the harder part is:

That’s why every real enterprise AI deployment eventually turns into people, process, governance, and operations. In other words… services. And I’m not talking about overnight implementation services. I’m talking about months of operational work inside messy companies trying to rebuild how work actually gets done.

Palantir figured this out years ago. Now OpenAI is learning the same lesson every enterprise AI company eventually learns: the demo was the easy part.

That’s the difference between AI hype and actual transformation.

We get so caught up in the "magic" of the transformation that we disappear into the back-end. We spend months talking about the pipes and zero minutes talking to the customer.

One of the biggest mistakes companies are making with AI right now: They spend so much time worrying about plumbing they never actually test whether the AI works.

Every AI pilot turns into:

And after three months, nobody has answered the only question that mattered:

“Do customers actually like interacting with the AI?”

That’s it. That’s the test.

Can the AI actually engage buyers? Can it answer questions? Can it qualify? Can it book meetings? Can it move pipeline?

Half these companies don’t even realize they spent the entire pilot testing whether a vendor can integrate with Salesforce. Not whether AI can actually increase revenue or decrease costs.

The funniest part?

Most of the time you could test the core experience in two weeks with a Google Doc and an AI Agent. Instead companies disappear into “enterprise readiness” meetings for six months and learn absolutely nothing.

When you stop obsessing over the plumbing, you can finally fix the "spam factory" that has been masquerading as a sales strategy for the last decade.

Most SDR teams were never strategic. They were just organized spam factories with a hiring plan.

Now AI shows up and suddenly everyone becomes a poet about “human relationships.” Please. Nobody cared about the human touch when reps were copy-pasting Gong snippets into 140 emails a day pretending it was personalization.

Here is what is happening. AI is terrible at:

Humans are terrible at:

I don’t think AI replaces great closers anytime soon. But it absolutely replaces the low-IQ operational sludge surrounding the closer, aka most SDR work. And half the people screaming “AI SDRs don’t work” are using ChatGPT to write their LinkedIn comments about why AI SDRs don’t work.

That’s the funniest part of this whole thread.

This is not just about sales. The same operational sludge exists in customer success. Solving it requires AI that stays in its lane instead of trying to fake a personality.

Read the full edition to see where voice AI is finally working, and meet the AI assistant that impressed a lead who kept ghosting.

That’s it for today. Connect with me on Linkedin if you actually want to understand what an Autonomous Organization looks like in the real world.