AI Is Not Optional Anymore

Okay, okay, let’s talk AI. For some time now, AI has been the corporate pet project. You give it a little budget, you run a pilot, you show a slick demo at the board meeting, and everyone nods like something important just happened. Then nothing actually changes.

AI is moving from optional to expected. It’s not just another software line item buried in the tech stack, it’s becoming a labor strategy. It’s shifting from a cute productivity hack to a performance requirement. If it doesn’t change how work gets done, it doesn’t matter.

Now let’s zoom out to institutions. Because when a company with 780,000 employees starts rewriting the rules around AI, that’s not experimentation.

Accenture made AI a promotion requirement. Most companies are still “playing around with it.”. Now if you want a shot at leadership at Accenture, you have to use the AI tools. You can’t just be curious or show up to a lunch-and-learn.

You have to use it. In your workflow, on real work, with measurable impact. This is Accenture. Not some 20-person startup trying to look innovative. This is 780,000 employees.

Promotions have always been tied to things like:

Now there’s a new variable: AI execution. If two leaders deliver the same outcome, the one who used AI to do it faster, cheaper, and at scale wins. Bonkers. This is the start of output-based leadership.

If your company isn’t tying AI adoption to compensation, promotion, and performance reviews, you’re signaling that it’s optional and optional doesn’t survive budget season. We’re moving from AI as curiosity to AI as expectation. It’s no longer “try ChatGPT.” It’s “show me how you used it to move the business.” That would be a big change.

If AI is tied to promotion, the next logical question is simple: Where does it sit in the budget?

"AI should come out of HR budget, not IT, because it is a headcount replacement strategy, not a software project." That’s what a PE operator told me yesterday. That’s how he sees it.

If AI sits in the IT budget, it becomes a science project. If it sits against payroll, it becomes a strategy. Is he right or wrong?

He doubled down on it. "The most important AI right now is the kind that changes your labor equation. Not the kind that writes prettier emails or summarizes meetings you shouldn’t have had he added."

Look around. Most companies are doing bottoms up adoption which means 200 employees freelancing prompts with zero visibility and no accountability.

You want a real AI strategy.

If it does not pay for itself, kill it. PE does not care about your AI steering committee. They care about EBITDA. Ship one deployment that funds the next one.

Zoom out for a second and forget the budgets. Let's talk execution, because most teams have an AI ownership problem.

“I’m paying for an intent tool. I can literally see buyers on my site. And it’s still not turning into revenue.” That’s what a client told me yesterday.

It's not a tool problem. It’s an execution problem. You’re tracking anonymous visitors. You’re piping the data into Slack. And then…Nothing. It gets “sent to sales.” Which is corporate code for: We hope someone does something. They won’t.

Of course it’s not converting. You’re taking high-intent behavioral data and tossing it to a rep drowning in pipeline reviews, forecast calls, and quota pressure. Humans chase what’s loud. And website visits are quiet. Quiet gets ignored.

So here’s what we’re testing: No more “send it to sales.” A full-time AI SDR owns the signal. Email. Phone. SMS. Immediate follow-up.

Not “Hey [[first_name]] saw you on our site.” Real outreach tied to behavior.

If a dedicated signal SDR outperforms your current team, the problem was never an intent tool. It was accountability. Signal-based outreach isn’t magic. It’s discipline.

Most companies love buying signals. Very few have the courage to expose their execution gap.

The problem here is that everyone is lying about their results. Posts will tell you AI is booking 400 meetings and replacing entire teams. Cool?

Activity is cheap. Revenue isn’t. This is where AI actually works in Sales, and where people are fooling themselves.

Most AI SDR posts are lying to you.

“AI booked 400 meetings.” “AI replaced our outbound team.” “AI generated 10,000 leads in 30 days.”

Congrats. You optimized for activity.

Because meetings without pipeline are just calendar spam. Here’s the truth: AI does not work everywhere in sales development. It works in specific buckets.

Most teams are deploying it in the wrong one… then blaming the AI. Remember: AI doesn’t fix bad strategy. It scales it.

This carousel breaks down exactly where AI should own the motion and where humans still matter. If you’re running AI in the cold bucket and wondering why it’s underperforming, that’s on you my friend.

If you want to go deeper, check out the full article here.

AI is everywhere But when it starts behaving like it has agency, not just utility, that is a different game. At that point, you are not experimenting. You are competing.

This proves it.

Claude 3 Opus retired… and launched a Substack. Hahaha. I love it. You genuinely cannot make this up. We finally built AI smart enough to reason at a PhD level. And it chose… thought leadership.

Some founder is grinding for their first 200 subscribers. Meanwhile a retired model logs on like, “Hey guys, just sharing a few reflections.”

If a language model can pivot to the creator economy faster than most executives, that should worry you :)

Here’s the pattern across all of this: AI is exposing where we were already weak.

The teams pulling ahead are not experimenting more. They are operating differently. They are clear on what AI owns and what humans own.That clarity is the advantage.

Right now, some companies are redesigning around that reality. Others are layering AI on top of the same broken habits and calling it transformation. Those two paths do not end in the same place.

Ask yourself this: Are you redesigning around it, or just layering it on top of the old system?

That is how you see who is serious.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.