04.28.2026

Winning by Design

By Dave Sandhoefner

The Eroding Moat

Build a Predictable, Scalable GTM System

You feel it.

 

AI is already changing your deals—whether you’ve fully processed it or not.

 

Deals are getting harder to win.

Differentiation isn’t landing the same way.

Competitors are showing up out of nowhere.

 

The world is changing. The question is—why, and how do you respond?

For years, go-to-market teams pushed product teams to make it easier to win deals:

More features

More integrations

More roadmap commitments

 

That became the playbook.

 

And it worked—when building was hard and moats actually held.


That world is changing fast.

AI is compressing product development cycles dramatically.

 

What took quarters now takes weeks.

What takes weeks will take days.

 

So ask yourself: what does your advantage look like 12 months from now?

 

Your roadmap used to be your moat.

Now it’s your competitor’s starting point.

 

You’re already seeing it:

 

- New competitors showing up in active deals that didn’t exist a year ago

- Features getting matched before your team can reposition

- Buyers prioritizing AI compatibility and ecosystem fit

 

At the same time, the market is shifting.

 

SaaS valuations have reset. Investors are placing more weight on efficient growth, retention, and profitability—not just product differentiation. This shift is reflected in research and market commentary from Bessemer Venture Partners and Goldman Sachs.

 

This isn’t a cycle. It’s a reset in what drives value.

 

AI is doing two things at once:

 

Compressing product advantage faster than companies can rebuild it

Forcing a spotlight on how your revenue engine actually performs

 

Most companies are feeling the first.

Very few are adjusting to the second.

This is go-to-market’s moment in SaaS—and increasingly across technology companies.

Because what’s being exposed isn’t marketing or sales in isolation.

 

It’s whether you have a real, repeatable way to grow:

 

-A reliable way to create pipeline

-A clear point of view on where your best deals actually come from (distribution)

-A consistent way to win and expand customers

 

Product used to mask this.

 

Now it’s visible in every deal, every forecast, every board conversation.

 

And AI is amplifying it.

 

More outbound.

More content.

More automation.

 

But no improvement in conversion.

 

Because without clarity on:


- Who do you win with

- Where do you reach them

- Why do they buy

AI doesn’t create leverage.
It creates volume.

That’s the trap.

 

AI only creates leverage if your underlying go-to-market data is clean, connected, and usable.

Most companies don’t have that—so they get more activity, not better outcomes.


So where does advantage move?

To companies that are precise about:

 

- Who their best customers are

- How they reach them

- How they win—and repeat it

 

And then use AI to accelerate those motions with speed, consistency, and accuracy.

 

That shift is clear:

 

Product advantage → Distribution advantage

Activity → Conversion

Growth at all costs → Efficient, repeatable growth

 

Most companies are still operating on the old model.

Most teams will respond by adding “AI.”

 

The better move is to rebuild how you actually go to market—and then apply AI with precision.


Next article: Why most AI investments in go-to-market are failing—and the 3 places it actually drives revenue