7.5 X

"Intelligence at the core of everything we do. How we work, how we create, how we serve our customers."

Jack Dorsey fired 40% of his workforce. The number is 7.5X.

What follows is me working through the numbers, trying to derive a rule of thumb for what the market is telling us. It's not science. Not art either. It's a retail investor trying to make sense of what this massive AI shift means for work, productivity, and most importantly, strategy at the highest level of any company, from sole entrepreneur to S&P 500.

The short version: The market is pricing efficiency, not savings.

Some will say the market priced the subtraction of 4,000 people. It seems to me it priced the multiplication of 6,000. The magnitude tells you something real about how the market values an AI-augmented workforce versus a traditional one.

The market put a price on the AI transition for the first time. The exchange rate between a traditional workforce and an AI-augmented one has a number attached to it. 7.5x the savings.

I was an early — yet public — investor in Block, back when it was still called Square. Literally chased the stock on IPO day. I don't own it anymore, but when I saw last Thursday's headline, my ears perked up.

Jack Dorsey fired 40% of his workforce. Over 4,000 people. And he said the quiet part out loud: AI did this.

"Intelligence tools have changed what it means to build and run a company. A significantly smaller team, using the tools we're building, can do more and do it better."

The stock jumped 25% overnight.

What follows is me working through the numbers, trying to derive a rule of thumb for what the market is telling us. It's not science. Not art either. It's a retail investor trying to make sense of what this massive AI shift means for work, productivity, and most importantly, strategy at the highest level of any company, from sole entrepreneur to S&P 500.

The Anomaly

If you have been following financial news the past few months, you'll know that for months, the pattern in tech and SaaS has been relentless: company reports strong earnings, stock gets hammered the next day. Doesn't matter how good the numbers are. The market takes the profit, says thank you, and moves on.

Block reported a strong quarter. Gross profit up 24% year over year. Raised guidance for 2026 with adjusted EPS of $3.66, beating analyst expectations of $3.22.

In the current environment, that's a recipe for a 5% drop. Instead, the stock surged. After hours, it was up 23%. By Friday close, Block had added roughly $7.6 billion in market cap.

Strong earnings alone don't explain this. Something else did.

The Math, and What It's Actually Pricing

4,000 employees at an estimated $200K average salary. Fully loaded (benefits, office, equipment, taxes), call it $250K per head. That's roughly $1 billion in annual compensation savings.

(A note: Block hasn't disclosed its average compensation figure. For an Oakland-based fintech with a heavy engineering workforce, $200K base is reasonable. $250K fully loaded may actually be conservative. The multiplier range holds even if you adjust the inputs by 10–15%.)

$450 to $500 million will go to restructuring costs: severance, benefits, equity vesting. One-time hit. The billion in annual savings recurs.

The market responded by adding $7.6 billion in value. A 7.5x multiplier on every dollar saved.

If this were a simple cost play, the market reaction should look like any other restructuring. A bump of 5 to 8 percent. Companies announce layoffs all the time. Wall Street gives them a polite nod and moves on.

A 25% jump signals something else entirely.

The market is pricing efficiency, not savings.

Block went from 10,000 employees to under 6,000 and simultaneously raised its guidance. The remaining 6,000, now paired with AI tools the company has been building internally (including one called Goose), are expected to be dramatically more productive than the previous structure allowed.

Dorsey said as much: "Our business is strong. Gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. But something has changed."

The something is AI. And the market heard it.

Divide that $7.6 billion by the 6,000 remaining employees. Each one is now implicitly valued at roughly $1.27 million more in enterprise value than they were the day before the announcement.

The market didn't price the subtraction of 4,000 people. It priced the multiplication of 6,000.

(This $1.27 million figure is a lens for thinking about the shift, not a precise financial metric. The market cap change reflects earnings, guidance, sentiment, and the structural decision together. But the magnitude tells you something real about how the market values an AI-augmented workforce versus a traditional one.)

The "When" to "If" Shift

To understand why the market reacted the way it did, it helps to zoom out.

Chamath Palihapitiya laid out a framework on the All In podcast recently that makes sense of what's happening across public markets.

When investors look at a company, they've historically debated when its cash flows might come under pressure. When will competition catch up to Coca-Cola? When will a new entrant chip away at Meta's ad business?

The word "when" carries a built-in assumption: the cash flows are real, they're durable, and they'll persist for a while. Investors simply disagree about the timeline.

That debate shaped how companies get valued. It shows up in three numbers. The price-to-earnings multiple, which inverted is the yield on your money. A 20x PE means you're earning 5%. The revenue multiple. And the weighted average cost of capital, or WACC, which is the discount rate applied to future earnings to calculate what they're worth today. A low WACC means investors trust those future earnings will show up. A high WACC means they're not so sure.

AI broke that framework. According to Chamath, investors are no longer debating when. They've shifted to if.

Will these cash flows exist at all in three years? Could some AI model come around the corner and obliterate this business without warning?

That one-word shift changes everything about how you price a company.

When you're confident cash flows are durable, you'll pay 40 times earnings. When you're worried they might evaporate, you demand a massive margin of safety. PE multiples get compressed: 40x becomes 20x. 20x becomes 10x. Revenue multiples get slashed: 10x becomes 3x. WACC doubles, from 6% to 12 or 13%, which means future earnings are worth dramatically less in today's dollars.

That's the market saying: I don't know if this company will be relevant in five years, so I need a huge buffer to own the stock.

This explains the paradox of strong earnings getting punished. A SaaS company reports a great quarter and the market still sells it off. The market is saying: great, you made money last quarter. I'm pricing whether you'll make money at all once AI reshapes your industry.

Backward-looking results don't answer a forward-looking fear.

Block Answered the Question

And that's why Block's 25% jump stands out.

In a market that's compressing every tech multiple because it can't figure out which companies survive AI, Block did something unusual. It answered the "if" question.

Dorsey told the market: you don't have to wonder about us. We already made the switch. We cut the workforce, we're building with AI tools, and here's our raised guidance to prove it's working.

The market responded by expanding Block's multiple while compressing everyone else's. Block moved from the "if" column to the "when" column.

The 25% premium is the market pricing that difference.

Dorsey put a timeline on it: "Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes. I'd rather get there honestly and on our own terms than be forced into it reactively."

He may be right or wrong about the timeline. But the signal is clear. The first mover gets rewarded.

The Caveats

A few things to keep honest about.

Block was bloated. The company grew from roughly 3,800 employees in 2019 to over 10,000 before the cuts. Classic pandemic overhiring. Some of this "AI transformation" could be a correction dressed in forward-looking language.

Josh Bersin's analysis pointed out that Block is far less profitable and has lower gross margins than Visa, Mastercard, or Shopify, suggesting the company was not operating at scale. Cutting from 10,000 to 6,000 might just be returning to a more rational headcount.

There's also the question of "AI washing," where executives cite AI as the reason for layoffs that are actually driven by financial underperformance or past hiring mistakes. An Oxford Economics report from January found that many layoffs CEOs called AI-related were actually the result of past overhiring.

Both of these are valid. And both can be true simultaneously. Block may have been bloated AND AI may be enabling a genuinely new operating model.

What matters for the broader argument is the market's reaction. Whether Dorsey's motives were pure or mixed, investors believed the AI story enough to add $7.6 billion in value. That tells you something about what the market wants to see from every other company.

The Trapped Value

If Chamath's framework is right, if the market is compressing multiples across tech because of the "if" discount, and if Block just showed that answering the "if" removes that discount and then some, then there's an enormous pool of value trapped inside every company that hasn't made the transition.

An arbitrage window that's getting wider by the week. The gap between a company's compressed "if" multiple and what the market would pay once it moves to the "when" column. That's the prize.

Most companies haven't made a move yet. Some haven't even seen the writing on the wall. Dorsey said most companies will reach the same conclusion within a year. Maybe. But the companies that move first capture the premium. The ones that move last absorb the discount.

What This Means

The market just ran an experiment in public. One S&P 500 company declared itself AI-native, cut nearly half its workforce, and got rewarded with a 25% stock increase while every other tech company struggles to hold its price after reporting good numbers.

The market put a price on the AI transition for the first time. For every CEO and board member watching: the math is now public. The exchange rate between a traditional workforce and an AI-augmented one has a number attached to it. 7.5x the savings. $1.27 million per remaining employee in added enterprise value.

Those numbers will evolve. They'll be refined. Different industries will see different multiples. But the direction is set.

We're Exponential Partners. We help companies and their leaders work through what the AI transition means for their business — from strategy to implementation. If you're trying to figure out where your organization sits on the "when" to "if" spectrum, reach out.

Originally published on Sacha's Substack. Republished with permission.