Layoffs in a Boom: Revenue Up, Headcount Down
A new paradox is emerging in software: companies with rising sales and solid profits are aggressively cutting staff in the name of AI transformation. Intuit, maker of TurboTax and QuickBooks, eliminated 3,000 roles—17% of its 18,200-person workforce—while keeping annual revenue guidance around USD 4.65 billion (approx. RM21.4 billion) and promising to rehire into more AI-aligned positions. Productivity platform ClickUp removed 22% of its team while deploying some 3,000 internal AI agents. Social media giant Meta is notifying around 8,000 employees—roughly 10% of its workforce—that their jobs are disappearing as it bankrolls a planned USD 145 billion (approx. RM668.5 billion) AI spending spree. Workday has already cut 8.5% of staff and now wants headcount flat even as revenue grows. Wix, despite 14% revenue growth, is planning about 1,000 layoffs as AI makes many roles redundant. These moves are less about survival than rewriting the cost structure of enterprise software.
The Real Goal: Fatter Software Company Margins, Not Survival
Across these firms, the pattern is clear: AI is a lever for software company margins and operational efficiency, not a last-ditch response to financial distress. Intuit remains profitable and is doubling down on external AI partnerships such as ChatGPT and Claude, embedding them into TurboTax, QuickBooks, Credit Karma, and Mailchimp to reduce “complexity” and labor costs. Workday’s CEO openly says the aim is to keep headcount “as close to flat as possible” while revenue grows, using AI and its own products to expand margins. Its most recent quarter delivered a net profit of USD 222 million (approx. RM1.0 billion) on USD 2.54 billion (approx. RM11.7 billion) in revenue, and it still wants AI to do more instead of hiring. Wix’s revenue climbed to USD 541 million (approx. RM2.49 billion), yet operating expenses surged 50%, driven partly by AI acquisitions—layoffs are now the quickest path back to profitability in an AI-heavy cost base.
Who’s Really at Risk? Builders, Sellers and the ‘Measurers’
The bluntest explanation of which jobs are vulnerable comes from Cloudflare CEO Matthew Prince, who recently laid off more than 20% of his workforce—1,100 employees—despite record revenue growth and strong free cash flow. Drawing on Peter Drucker, Prince divides work into builders (who create products), sellers (who sell them), and measurers (everyone else: finance, legal, compliance, operations, middle management, much of marketing, internal audit). In his view, AI automation jobs will disproportionately land on measurers, whose work is highly structured and data-heavy. Builders and sellers, by contrast, become more valuable as AI amplifies their productivity and helps them close more deals. Cloudflare’s cuts were “teeming with measurers,” including layers of middle management and marketing roles, while internal audit shifted from sampling a few risks per quarter to continuously auditing all risks using AI.
AI-First Operating Models: Fewer People, More Agents
Beyond headcount reduction, these companies are rebuilding how work itself is organized. ClickUp’s CEO has articulated an AI-first “100x org” where every remaining employee is expected to manage AI agents that automate large portions of their tasks. The company has introduced around 3,000 internal AI agents to handle complex workflows; employees are rewarded not just for doing work, but for orchestrating automation, with the promise of “million-dollar salary bands” for those who generate outsized impact using AI. Meta is redeploying 7,000 employees into new AI teams, pursuing “personal superintelligence” assistants embedded in its apps and hardware. Workday’s leadership now assumes AI will punch in instead of new hires. The emerging tech company restructuring playbook is clear: freeze or shrink headcount, replace routine work with AI systems, and concentrate human talent in a smaller set of high-leverage, AI-augmented roles.
What This Signals About the Future of Enterprise Software Jobs
Taken together, these SaaS layoffs AI stories signal a structural shift in enterprise software. Roles centered on monitoring, reporting, and internal coordination—measurers in Cloudflare’s terms—face the highest risk as AI systems become tireless, always-on auditors and operations analysts. Meanwhile, builders and sellers who can wield AI as a force multiplier stand to gain influence and, in some companies, significantly higher pay. For employees, the message is stark: job security will depend less on being part of a growing software firm and more on being in a function that AI cannot easily replace, or on learning to design, supervise, and integrate AI agents into workflows. For investors and executives, AI transformation costs—data centers, chips, acquisitions, and model integration—are being funded upfront by headcount cuts, in exchange for a long-term bet on leaner, AI-first organizations with structurally higher margins.
