Block’s stock jumped 6% on Tuesday. The catalyst wasn’t a product launch or a new market. It was the aftermath of firing 4,000 people.
In February, CEO Jack Dorsey announced Block would cut its workforce from over 10,000 to under 6,000 — a 40% reduction — explicitly because “intelligence tools have changed what it means to build and run a company.” By this week, the market had rendered its verdict: multiple analyst upgrades, a Truist price target of $77, TD Cowen at $95, and Morgan Stanley reiterating Buy at $93. Block trades at a forward P/E of 16x on guidance of $3.20 billion adjusted operating income. Gross profit rose 26% year-over-year in Q4. The company is doing more with dramatically fewer humans, and the market loves it.
This matters for SaaS in a way that previous posts on this blog haven’t directly addressed. We’ve tracked the supply side — AI commoditizing software creation, compressing SaaS multiples, pushing vendors toward outcome pricing. But Block illustrates the demand side: AI shrinks the organizations that buy software. And when the market rewards that shrinkage, it creates a feedback loop that accelerates the contraction.
The numbers are getting hard to ignore
Challenger, Gray & Christmas reported that tech companies announced 52,050 job cuts in Q1 2026, up 40% from the same period last year and the highest Q1 total since 2023. In March alone, AI led all reasons for job cuts across all industries, cited in 15,341 layoffs — 25% of the month’s total, up from roughly 10% in February.
Goldman Sachs Research now estimates that AI-related changes have reduced US job growth by approximately 16,000 positions per month over the past year. Their base case projects 6-7% of workers displaced over a 10-year adoption timeline, but the pain is front-loaded: tech sector employment as a share of the overall economy has already dropped below its long-term trend.
The displacement isn’t temporary dislocation. Goldman finds that workers displaced by technological shifts face a 3% real earnings cut upon re-employment, with earnings growth running 10 percentage points below non-displaced peers over the following decade. The mechanism is occupational downgrading — displaced tech workers take jobs requiring fewer skills than they previously held, because the market value of their existing skills has eroded.
What this means for SaaS revenue
Every SaaS vendor with per-seat pricing should be reading Block’s restructuring as a demand signal. When Block had 10,000 employees, it was paying for roughly 10,000 collaboration licenses, CRM seats, project management accounts, security endpoints, and expense management logins. Now it’s paying for 6,000. That’s a 40% seat reduction at every per-seat vendor in Block’s stack — not because Block was unhappy with those tools, but because Block has fewer humans.
Multiply this across the industry. Atlassian cut 1,600 employees (10% of its workforce) in March to “self-fund further investment in AI.” Atlassian is simultaneously a vendor experiencing seat compression and a customer reducing its own seat count at other vendors. The contraction is recursive.
Block’s case is the most extreme because Dorsey said the quiet part out loud: “A significantly smaller team, using the tools we’re building, can do more and do it better.” But the market response — analyst upgrades, a 6% stock jump, consensus targets 35-50% above the current price — sends a signal to every CEO watching. Shrinking your workforce in the name of AI isn’t just tolerated. It’s rewarded with premium multiples.
The feedback loop
Here’s the structural problem for per-seat SaaS. The hypothesis this blog tracks asks whether AI commoditizes software by making it cheaper to create. That’s the supply side, and the evidence has been mounting. But the demand side may be equally destructive: AI makes the customer organization smaller.
The mechanism runs like this. AI tools increase output per employee. Companies reduce headcount. Markets reward the reduction. Other companies follow. Each round of cuts reduces the number of seats those companies buy. SaaS vendors see revenue compression. They respond by cutting their own workforces — which reduces their seat counts at other vendors. It’s a deflationary spiral in which everyone is simultaneously a vendor losing seats and a customer canceling them.
Challenger’s data suggests this isn’t theoretical. Tech layoffs are at their highest Q1 level since 2023, and AI is now the leading cited reason. Goldman’s 16,000-jobs-per-month estimate implies a structural demand reduction that compounds quarter over quarter.
What to watch
Block guided for adjusted diluted EPS of $3.66 in 2026, up 54% year-over-year. If they deliver those numbers at 6,000 employees, the efficiency narrative will harden into orthodoxy. The question then becomes: what does SaaS revenue look like when your customer base is structurally shrinking?
The early indicators are already visible. Public application software trades at 3.3x EV/NTM revenue, down from a five-year average of 7.1x. The market is pricing in demand destruction, not just supply-side competition.
Companies with consumption-based or outcome-based pricing — Snowflake, Datadog, the Intercom model — are partially insulated, because their revenue tracks usage, not headcount. But for the vast majority of SaaS built on per-seat models, the math is getting worse from both directions: AI can replace the product and reduce the number of humans who’d buy it.
Sources: Challenger, Gray & Christmas Q1 2026 report, Goldman Sachs Research AI labor market analysis, Block Q4 FY2025 earnings and analyst coverage via 247 Wall St, Forbes, Atlassian March 2026 update, Foley & Lardner Q1 2026 market report