The Mike Ye Briefing

Season 1, Episode 3: Judgment Is the Product

Welcome to The Mike Ye Briefing.

I’m Mike Ye.

This is Episode 3.

Judgment Is the Product.

Early in my career, I used to think the hardest part of making a good decision was getting enough information.

If we had better financials, we could make a better decision.

If we had more market research, we could make a better decision.

If we had another forecast, another customer interview, another spreadsheet, another consultant report, eventually the answer would become obvious.

After spending most of my career in acquisitions, investments, strategy, and operating businesses, I learned something very different.

Information is important.

But information is not the same thing as judgment.

Sometimes you can have a hundred pages of information and still make the wrong decision.

And sometimes the most important insight is sitting right in front of you, but it does not show up anywhere in the spreadsheet.

That difference is judgment.

I have been in plenty of meetings where everyone in the room had access to the same information.

Same financials.

Same management presentation.

Same market data.

Same customer information.

Same projections.

Same diligence reports.

But people came away with completely different conclusions.

One person saw a growing company.

Another person saw customer concentration.

One person saw a strong founder.

Another person saw founder dependency.

One person saw a category that was too small.

Another person saw scarcity.

One person saw a business that looked expensive.

Another person saw something the buyer could make much more valuable after the acquisition.

Same information.

Different judgment.

That is why I believe judgment is the product.

Not the spreadsheet.

Not the report.

Not the amount of information collected.

The product is deciding what matters.

And just as important, what does not.

One acquisition that taught me this was SheMedia.

When we acquired the company, the CEO at the time was a man and very numbers driven.

He knew the business.

He understood the financials.

He could explain the economics.

All of those things mattered.

But during the process, there was someone else who stood out to me.

The Chief Revenue Officer was Samantha Skey.

Samantha was completely different.

She was passionate.

Personable.

Full of ideas.

She understood the creators.

She understood the women in the network.

And when she talked about where the business could go, you could feel that she believed it.

To me, Samantha was the hidden jewel of the acquisition.

You will not find a line item on the balance sheet called hidden jewel.

There is no multiple you can put next to it.

There is no cell in Excel that tells you this person may eventually become the face of the company.

That requires judgment.

About six months after the acquisition, we promoted Samantha to CEO.

She became the face of SheMedia.

And the business grew rapidly.

A lot of that came from Samantha’s ideas, energy, and understanding of the creator community.

Female creators could look at the company and see someone leading it who understood them, represented them, and inspired them.

That helped expand SheMedia’s network business.

When I think back to the acquisition, that is one of the things I remember most.

We acquired a company.

But inside that company was a person whose future value was much larger than her job title suggested at the time.

The financials did not tell us that.

The organization chart did not tell us that.

You had to spend time with the people.

You had to listen.

You had to imagine what the business could look like under a different structure.

That is judgment.

Today, we have more information than at any point in my career.

And now we have AI.

I love AI.

I use it every day.

AI can read documents faster than I can.

It can summarize information.

It can compare businesses.

It can search through thousands of pages.

It can organize ideas.

It can challenge assumptions.

It can help me think.

It can help me write.

It can even tell me that something I believe may be wrong.

That is incredibly valuable.

But there is an important distinction.

AI can generate an answer.

Judgment determines whether the answer matters.

I think that distinction is going to become more important, not less important, as AI gets better.

Because when everyone has access to intelligence, intelligence itself becomes less scarce.

The scarce thing becomes knowing what to do with it.

Imagine I give an AI a company and ask:

Should I buy this business?

Within seconds, it can probably give me a very impressive answer.

Market size.

Growth rate.

Competitors.

Margins.

Risks.

Strategic opportunities.

Maybe even a valuation range.

That is useful.

But now I ask a harder question.

What is the one assumption in this investment that, if wrong, destroys the thesis?

That requires something different.

Or:

What does the seller believe the buyer may not believe?

Or:

What asset inside this company is worth more to us than it is to the seller?

Or:

Who inside this company could become much more important after the acquisition?

Or:

What looks like growth today but may actually be dependency?

Or:

Is this business getting stronger with time, or does waiting quietly make the opportunity worse?

Those questions begin to move away from information gathering.

They move toward judgment.

And that is where I spend most of my time.

I will give you a simple example.

Imagine two companies.

Both generate ten million dollars of revenue.

Both make two million dollars of EBITDA.

Both grew ten percent last year.

On a spreadsheet, they might look very similar.

But Company A has fifty customers.

No single customer represents more than five percent of revenue.

The founder has built a strong management team.

Sales are handled by several people.

Contracts are documented.

Revenue is recurring.

The founder can take a month-long vacation and the business continues to operate.

Company B has the same revenue.

Same EBITDA.

Same growth.

But one customer represents forty percent of revenue.

The founder personally handles most of the relationships.

A lot of the operating knowledge lives inside the founder’s head.

Several important agreements are informal.

And if the founder disappears for a month, decisions begin to pile up.

Same earnings.

Very different businesses.

The spreadsheet tells you what happened.

Judgment asks what happens next.

That is what buyers care about.

And it is why valuation is never just math.

A multiple looks like math.

But the decision about which multiple to use contains judgment.

How durable are the earnings?

How transferable are they?

How much risk is concentrated in one person?

How easily can the business be integrated?

How confident are we that the future resembles the past?

And sometimes:

Is there a Samantha Skey inside the company whom the current organization has not fully unlocked yet?

Those questions determine what the numbers mean.

This is also why I do not believe judgment means always having the correct answer.

Nobody does.

I certainly do not.

I have made good decisions.

I have made bad decisions.

I have been early.

I have been late.

I have looked at companies that I thought had tremendous potential and watched the market disagree.

I have also watched opportunities that looked small become much more important later.

Judgment is not knowing the future.

Judgment is making the best decision you can before the future is known.

That is a very different standard.

And I think people sometimes confuse the two.

If a decision turns out badly, they assume the original judgment must have been bad.

Sometimes that is true.

But not always.

Imagine you are holding pocket aces in poker.

You make the correct bet.

Someone calls with a weaker hand.

Then the final card gives them the winning hand.

You lost the hand.

But that does not mean the decision was wrong.

The same thing happens in business.

A company can make a very rational acquisition and then the market changes.

A founder can make the right decision to keep a business and then an unexpected competitor appears.

An investor can make a thoughtful investment and then something completely outside the thesis changes the outcome.

Good judgment does not guarantee a good outcome.

It improves the probability of one.

That is all we can ask.

This matters even more when we use AI.

AI makes it very easy to create confidence.

Ask a question.

Receive a beautifully written answer.

The answer may have charts.

Sources.

Statistics.

A conclusion.

It feels complete.

But the appearance of completeness can be dangerous.

Because the question may have been wrong.

The assumptions may have been wrong.

The data may have been incomplete.

Or the most important issue may never have been asked.

That is why I think the human role changes as AI becomes more capable.

We spend less time producing information.

We spend more time framing the decision.

What are we actually trying to understand?

What would change our mind?

What information is signal?

What information is narrative?

Where are we dependent?

Where do we have leverage?

What is scarce?

Is timing helping us?

What does the other side see that we do not?

And what is sitting right in front of us that nobody has put a number on yet?

These are judgment questions.

I built the Intelligence section of MikeYe.com around this idea.

I call it Judgment-as-a-Service.

The name sounds a little technical.

But the idea is actually simple.

The value is not giving someone more information.

The value is helping frame the decision.

I think about this when someone asks me about selling a business.

The owner may expect a valuation.

I can give them one.

There are comparable transactions.

There are multiples.

There are financial models.

There are brokers.

There are databases.

There are plenty of ways to estimate what a business may be worth.

But before I spend much time on the number, I want to understand something else.

Why are you asking?

That was the subject of Episode 2.

The question beneath the question.

Maybe the founder wants to retire.

Maybe the kids do not want the business.

Maybe AI is changing the industry.

Maybe a competitor just sold.

Maybe someone made an unsolicited offer.

Maybe the founder is simply tired.

Each answer changes the problem.

And once the problem changes, the judgment changes.

The laundromat owner who wants to retire has a different problem than the recipe website losing traffic to AI search.

The numbers may tell us what both businesses are worth today.

But judgment tells us what each owner should think about next.

That is also what happened in larger transactions throughout my career.

Take Rolling Stone.

If you looked only at the traditional print business at the time, you could easily conclude that legacy magazines were challenged.

And you would be right.

Print advertising was changing.

Distribution was changing.

Consumer behavior was changing.

Digital media was becoming more important.

But Rolling Stone was not simply a magazine.

It was a cultural brand.

That distinction matters.

The question was not:

Is print growing?

The answer was obvious.

The better question was:

Can the authority, history, and cultural relevance of Rolling Stone travel into a different media model?

That is a judgment question.

And the Wenner family had their own judgment to make.

How do you preserve something your family created while recognizing that the environment around it has changed?

Holding onto the exact business model forever would not necessarily preserve the legacy.

Sometimes preserving the legacy requires changing the structure around it.

I have seen that same tension with SXSW.

SXSW was built through the values and vision of Roland Swenson and Louis Black.

For decades, the festival became a place where new music, film, technology, culture, and ideas could be discovered.

That identity mattered.

Their willingness to adapt was one of the reasons SXSW remained relevant for so long.

When we acquired SXSW, our goal was not to erase that.

It was the opposite.

We wanted to preserve what made SXSW special.

But preserving something does not mean refusing to change it.

The music business around SXSW had changed.

For years, part of the magic of the festival was discovering the next unknown artist.

An up-and-coming band could arrive in Austin, play a small venue, get noticed by the right people, and suddenly have momentum.

But then TikTok changed music discovery.

By the time someone arrived at SXSW, millions of people may have already discovered an emerging artist on their phone.

Discovery was happening every day.

Everywhere.

So the live-event format had to evolve too.

We began bringing in bigger acts instead of relying primarily on up-and-coming artists.

Not because the original idea was wrong.

The original idea worked beautifully for the world in which it was created.

But the world changed.

If the way people discover music changes, then the role of a music festival has to change with it.

To me, that is one of the most important lessons in preserving legacy.

Legacy is not preserving everything exactly the way it was.

Sometimes that is how you lose it.

You preserve the values.

You preserve what makes the brand meaningful.

You preserve the reason people care.

But you allow the business model and the experience around it to evolve.

That takes judgment.

Because there is no spreadsheet that tells you exactly which traditions are sacred and which ones need to change.

The same concept applied to Dick Clark Productions.

You could look at the business and say:

These are television programs.

Or you could ask a different question.

What are these franchises?

The Golden Globes.

The American Music Awards.

New Year’s Rockin’ Eve.

They were not valuable only because they appeared on television.

They were recognizable entertainment franchises that could live across changing forms of distribution.

Broadcast.

Streaming.

Digital.

Social.

International.

Same assets.

Different frame.

And the frame affects the decision.

This is why I spend a lot of time trying to identify what I call the real thesis.

The stated thesis may be:

We are buying a growing company.

But maybe the real thesis is that the company controls something scarce.

The stated thesis may be:

We are buying two million dollars of EBITDA.

But maybe the real thesis is that our ownership can turn two million into five million.

The stated thesis may be:

We are buying a media property.

But maybe the real thesis is that we are buying authority in a category we cannot easily build ourselves.

The stated thesis may be:

We are buying technology.

But maybe the real thesis is that the technology gives another asset inside the company a competitive advantage.

Or maybe the stated thesis is simply that we are acquiring a business.

But the hidden thesis is that we are also acquiring the person who could lead the next chapter.

Those are very different reasons to own something.

BuzzAngle is a good example.

When we looked at BuzzAngle, you could describe it as a music data company.

That description would be accurate.

But incomplete.

The more interesting question was what that data could enable.

Rolling Stone had cultural authority.

BuzzAngle had music consumption data.

Put those things together and something new becomes possible.

Rolling Stone Charts.

And once you begin competing in music charts, you are no longer just buying a data company.

You are changing your strategic position in the music industry.

That is what I mean by judgment.

Seeing beyond what the asset is today.

Trying to understand what the asset enables tomorrow.

The same thing happened with SheMedia.

We did not acquire SheMedia because a spreadsheet told us Samantha Skey should one day become CEO.

That was something we learned by being around the business and understanding the people.

Her ideas mattered.

Her relationships mattered.

Her credibility with female creators mattered.

And when the organization changed around her, those qualities became even more valuable.

That is not something traditional diligence always captures well.

But it can determine what happens after the acquisition.

Of course, that does not mean every strategic story is real.

This is where judgment gets difficult.

People love strategic narratives.

Every acquisition presentation has one.

Synergies.

Cross-selling.

New markets.

Platform expansion.

Transformation.

You can make almost anything sound strategic in PowerPoint.

The harder question is:

What evidence tells us the strategy is real?

That is where signal matters.

Are customers already behaving in a way that supports the thesis?

Is the asset genuinely difficult to replicate?

Does the buyer have a capability the seller lacks?

Is there a measurable economic advantage?

Can the combination create something neither company can easily create alone?

Is the management talent really there?

Does the leadership have credibility with the people the business needs to attract?

Are the founders willing to adapt as the environment changes?

Those are signals.

Without them, strategy becomes narrative.

And narrative is easy to fall in love with.

I have seen smart people fall in love with narratives.

I have done it myself.

You start wanting the deal to work.

Then every new piece of information gets interpreted as another reason the deal makes sense.

That is dangerous.

Good judgment requires the ability to argue against yourself.

This is something AI can be very useful for.

I often ask AI to challenge my thesis.

Not support it.

Challenge it.

Tell me why I am wrong.

Tell me what I am missing.

Tell me what assumption I am treating as fact.

Tell me what the bear case is.

Tell me what evidence would invalidate my conclusion.

Sometimes the answer does not change my mind.

Sometimes it does.

But either way, the process makes the judgment better.

My father taught me something similar without ever using those words.

He read constantly.

Politics.

Economics.

History.

Sports.

Whatever interested him.

But he did not just read one thing and accept it.

He compared.

He questioned.

He thought.

At dinner, he would bring up something he read on the Internet and we would talk about it.

Sometimes he agreed with what he read.

Sometimes he did not.

Sometimes he just wanted to understand why someone saw the world differently.

He loved learning.

But the purpose of learning was not to collect information.

It was to think.

I appreciate that more now.

Because we are entering a world where collecting information becomes easier every year.

AI can give all of us access to knowledge that would have been impossible to gather twenty years ago.

That is wonderful.

But it also means the advantage moves somewhere else.

The advantage becomes knowing what information deserves your attention.

Knowing which question matters.

Knowing when the answer is incomplete.

Knowing when the story is too convenient.

Knowing when something everyone ignores is actually important.

Knowing when a person matters more than the title on the organization chart.

Knowing which parts of a legacy need to be protected and which parts need to evolve.

And knowing when to act.

That last part matters.

Because judgment without action is just observation.

Sometimes you can see the problem clearly and still do nothing.

I have done that too.

You know you should fix something.

You know the dependency exists.

You know the timing window will not stay open forever.

You know the founder needs to build a management layer.

You know the contract should be cleaned up.

You know the business model is changing.

But you wait.

That is not an information problem.

You already know.

It is a judgment and action problem.

This is one reason I care so much about preparation before consequence arrives.

Good judgment gives you the opportunity to act while the decision is still yours.

Before the buyer turns a weakness into leverage.

Before the market makes the timing decision for you.

Before the platform changes the rules.

Before the customer leaves.

Before the children tell you they do not want the business and retirement is suddenly next year.

Before the doctor says the warning is no longer just a warning.

Judgment gives you a chance to move while you still have options.

That is the product.

Not certainty.

Not prediction.

Not a perfect answer.

A clearer view of the decision before the outcome is known.

As AI gets better, I think this becomes even more important.

The machine can help generate the language.

It can help gather the evidence.

It can help challenge the thesis.

It can help compare possibilities.

But someone still has to decide what matters.

Someone has to decide what to believe.

Someone has to decide what risk is acceptable.

Someone has to decide whether Samantha Skey is simply the CRO on the organization chart or the future leader of the company.

Someone has to decide whether preserving SXSW means keeping everything the same or allowing the experience to evolve with the way people discover music.

Someone has to decide when enough information is enough.

And someone has to act.

That is judgment.

And it is deeply human.

The goal is not to compete with AI at doing what AI does better.

I do not want to read ten thousand pages faster than a machine.

The machine wins.

I do not want to memorize every comparable transaction.

The machine wins.

I do not want to manually search every possible source.

The machine wins.

I want the machine to help me see more.

Then I want to decide what the additional visibility means.

That partnership is far more interesting to me.

AI gives us more intelligence.

Judgment tells us what to do with it.

That is why I believe judgment becomes more valuable in an AI world, not less.

Because when answers become abundant, the quality of the question matters more.

When information becomes abundant, signal matters more.

When analysis becomes abundant, independent thinking matters more.

And when everyone has access to the same intelligence, the advantage moves toward the person who can frame the decision differently.

That is the product.

Judgment.

In the next episode, I want to take this into the world I know best.

M&A.

The title is:

The Side They Never Sat At.

Because founders spend years looking at their company from one side of the table.

Then the day they decide to sell, they discover another side exists.

The buyer’s side.

And what looks strong from one side can look completely different from the other.

I’m Mike Ye.

This is The Mike Ye Briefing.

And this season is about seeing clearly before consequence arrives.