The AI trade has entered a new phase — and it’s not just about chips, models and eye-watering funding rounds. It’s about headcount.
Last week, Block Inc (NYSE:SQ) stunned markets by announcing it would cut more than 4,000 roles — reducing its workforce by over 40% — as it restructures around what CEO Jack Dorsey calls an “intelligence-native” operating model. The fintech group behind Square and Afterpay is shrinking from more than 10,000 employees to just under 6,000, arguing that a smaller team armed with AI tools can move faster and build more efficiently.
In his letter to shareholders, Dorsey was blunt: “Intelligence tools have changed what it means to build and run a company. We’re already seeing it internally. A significantly smaller team, using the tools we’re building, can do more and do it better. And intelligence tool capabilities are compounding faster every week.”
It’s one of the clearest acknowledgements yet from a major tech CEO that AI isn’t just a growth driver — it’s a structural cost lever.
Market reaction: Rally, then reality check
Investors initially cheered the move. In the US, Block’s shares jumped sharply after the announcement, surging about 25% on Thursday before giving up some gains on Friday as markets focused on improved operating leverage and margin expansion.
Locally, Block’s CHESS Depositary Interests (ASX: XYZ) are trading at about A$89, down 5% today, although still up more than 23% over the past five days. The pullback comes amid a broader slide in tech and financials, with risk appetite cooling after a strong AI-led run.
Block’s rally came as the broader tone shifted noticeably. On Friday, the Nasdaq fell 0.92% and the S&P 500 slipped 0.43%, as investors rotated into defensives and questioned how much of the AI boom is translating into durable earnings growth.
Strong numbers, smaller team
What makes Block’s decision more striking is that it comes against a backdrop of accelerating performance.
In the fourth quarter, gross profit rose 24% year-on-year to US$2.87 billion, while adjusted operating income reached US$588 million, a 20% margin. Cash App gross profit surged 33% year-on-year, and consumer lending origination volume jumped 69%.
Block has also lifted its 2026 guidance, targeting 18% gross profit growth and 54% growth in adjusted operating income.
The key point is that this shift isn’t being driven by deteriorating results. It comes while revenue and margins are improving. Management is choosing to redesign the cost base and operating model now, while conditions are favourable, rather than waiting for competitive or cyclical pressure to force change.
The broader AI pulse: Chips, capex and capital
Block’s workforce overhaul landed during a frenetic week for AI.
OpenAI (Unlisted:OPAI) closed a landmark US$110 billion funding round at a US$730 billion pre-money valuation, with heavyweight backing from Amazon.com Inc (NASDAQ:AMZN), Nvidia Corp (NASDAQ:NVDA, XETRA:NVD) and SoftBank, highlighting how intertwined AI development and cloud infrastructure have become.
At the same time, concerns about infrastructure overspend continue to bubble up. CoreWeave on Thursday flagged plans for up to US$35 billion in 2026 capex against expected sales of US$12 billion–13 billion, raising questions about return on investment. Its shares plunged nearly 20% after the update.
Broadcom Inc (NASDAQ:AVGO, XETRA:1YD) is next in focus. Wall Street is looking for roughly US$19 billion in quarterly revenue, with AI semiconductor sales more than doubling year-on-year, according to eToro Group Ltd (Unlisted (US):ETRO) market analyst Josh Gilbert, who says the company’s US$73 billion AI backlog over the next six quarters has become a key reference point for investors assessing the durability of hyperscaler demand.
From hype to hard economics
The early AI trade was largely about positioning. The current phase is about execution:
- Are capital outlays generating measurable returns?
- Is the build-out cycle peaking or extending?
- And how material are the productivity gains — particularly on labour lines?
Block’s decision crystallises the final point. For years, tech investors talked about AI as a productivity enhancer. Now we’re seeing a large-scale public acknowledgement that it can materially reduce workforce requirements.
For equity holders, that implies stronger margins and faster operating leverage. For employees, it underscores how quickly the economics of software businesses are shifting.
The AI boom is still very much alive — but it’s no longer just about building smarter machines. It’s about rebuilding companies around them.