Theory versus operating experience.

I think we need to stop talking about what is wrong with partner programs.

Seriously.

There are thousands of LinkedIn posts about why partner programs are broken.

I have written some of them.

Now AI has entered the conversation, and we have thousands more about how AI is going to fix partner recruitment, enablement, engagement, co-selling, marketing, partner experience and everything in between.

But at what point do we stop diagnosing the problem and actually fix it?

A recent conversation made me think about this differently.

Maybe the problem is not nearly as complicated as we have made it.

Maybe we need to go back to the basics of what a partnership actually is.

A partner does not work for the vendor.

A partner is an independent business that has decided there is enough mutual value to justify investing its people, time, money, relationships and reputation alongside that vendor.

That distinction matters.

Because partners have choices.

They can sell your solution.

They can sell your competitor.

They can invest in another technology entirely.

So the question shouldn't only be:

How do we get partners to engage?

Maybe the first question should be:

Why should this partner choose to build a business with us?

And then:

Can they make money?

Can they get to market quickly?

Do we help them win customers?

Are we easy to do business with?

Do our sellers actually work with them?

Do we understand their business model?

Are we measuring the value they create, or just the activities we asked them to complete?

And perhaps most importantly:

Is this relationship actually win-win?

The data isn't exactly telling us something mysterious.

Forrester says partner-driven and partner-influenced revenue continues to grow, while investment in partner ecosystem technology is increasing.

Yet execution and engagement remain challenges.

HFS surveyed 117 senior SI leaders and found something even more telling:

Execution beats incentives.

Partners valued co-selling, responsive support, GTM alignment and shared accountability.

Think about that.

Not another portal.

Not another tier.

Not another certification.

Execution.

There is also something else I think we need to acknowledge.

There is a difference between talking about partnerships and having operated inside the channel.

Having worked through partner recruitment, channel conflict, deal registration, margins, enablement, distribution, forecasting, MDF, attribution, co-selling and the hundred other things that happen behind the scenes changes how you look at these problems.

Sometimes we are trying to solve a very operational problem with a very theoretical solution.

And now AI risks becoming another layer on top of that.

AI can absolutely make partner programs better.

It can remove friction, surface insights, automate work, personalize experiences and help us operate at a scale we couldn't before.

But AI cannot fix a broken value exchange.

It cannot make a partner prioritize you if there is no economic reason to do so.

It cannot create trust where there is none.

And it cannot turn a vendor-first program into a partnership simply because we call it an ecosystem.

Maybe the next evolution of the channel doesn't start with another technology.

Maybe it starts by stepping back and asking one very basic question:

If I were the partner, would I choose to do business with us?

And if the answer isn't an immediate yes, that is probably where the work should begin.

Less diagnosis.

More redesign.

And then, finally, execution.

Let's make it happen.