The New Paradox: Record Results, Massive Tech Layoffs
A growing number of mature software companies are announcing sweeping workforce reductions even as their financial performance stays strong. The official story is almost always the same: tech layoffs are framed as an AI transformation, necessary to build “faster, leaner” organisations ready for a new era of automation. Intuit, Meta, Cloudflare, Workday and others have all paired upbeat commentary on revenue, product momentum or cash flow with news of deep software company job cuts. On paper, these firms are not in distress; they are profitable, growing, and in many cases raising guidance or beating expectations. Yet they are shrinking headcount or freezing it while loudly investing in artificial intelligence. Beneath the messaging about innovation and productivity lies a simpler margin expansion strategy: use AI workforce reduction to decouple revenue growth from labour costs and lift earnings per share.
Intuit: Cutting 17% of Staff While Buying Back Billions in Stock
Intuit offers one of the clearest examples of this new playbook. The maker of TurboTax, QuickBooks, Credit Karma and Mailchimp is eliminating about 3,000 roles, roughly 17% of its 18,200-person workforce, despite reporting USD 4.65 billion (approx. RM21.4 billion) in revenue and strong profitability. In internal communications, CEO Sasan Goodarzi has described the move as reducing complexity and focusing on core priorities, especially AI, after already cutting 1,800 jobs in a prior AI-focused restructuring. Publicly, he insists “this was not about AI,” yet the company is simultaneously signing multi‑year deals with OpenAI and Anthropic and embedding its financial capabilities into external AI models. On an earnings call, Goodarzi explicitly linked the restructuring to “margin expansion and EPS growth,” while Intuit spent USD 3.4 billion (approx. RM15.6 billion) on share repurchases and secured authorisation for another USD 8 billion (approx. RM36.7 billion), underscoring investors—not survival—as the primary audience.
Meta and the Race to Fund Expensive AI Ambitions
Meta is following a similar pattern at a larger scale. The company is cutting around 8,000 jobs, about 10% of its global workforce, heavily concentrated in engineering and product groups. At the same time, it is redeploying roughly 7,000 employees into new teams tasked with building AI products and assistants woven throughout Facebook, Instagram, WhatsApp and hardware devices. Internally, leadership stresses a shift to flatter structures and smaller pods that can “move faster” with more ownership. Externally, Meta has told investors it plans up to USD 145 billion (approx. RM665 billion) in capital expenditure this year, more than double the previous year, to fund data centres, chips and AI talent in pursuit of “personal superintelligence.” The job cuts function less as a response to weakness and more as a way to bankroll an enormous AI bet without compromising the company’s commitment to operating discipline and profitability.
Who Loses Their Jobs? Builders, Sellers and the ‘Measurers’
While the headlines focus on headline numbers, the impact of AI workforce reduction is not evenly distributed across job types. Cloudflare’s CEO Matthew Prince, who recently cut over 20% of his staff—about 1,100 employees—offers a useful framework rooted in Peter Drucker’s classic management theory: builders, sellers and measurers. Builders create products; sellers bring in revenue; measurers handle everything else, from finance and legal to operations, project management, marketing analytics and middle management. Prince argues AI threatens measurers most. Builders become more valuable as AI boosts their productivity, and sellers remain essential because buying decisions are still relationship-driven. Measurers, however, perform highly structured, documentation-heavy work that AI can increasingly automate. Cloudflare’s own layoffs largely targeted measurers in middle management, operations, marketing and finance, while using AI to continuously audit business risks. This pattern helps explain why so many restructuring announcements emphasise removing layers and coordination-heavy roles rather than core engineering or front-line sales.
Workday and the Emerging ‘Flat Headcount, Rising Margins’ Model
Workday illustrates where this trend is heading for large enterprise software vendors. After posting quarterly revenue of USD 2.54 billion (approx. RM11.7 billion) and net profit of USD 222 million (approx. RM1.0 billion), up sharply from the prior year, the company’s CEO outlined a clear ambition: keep headcount as close to flat as possible while growing revenue and expanding margins through AI agents. This follows an earlier 8.5% workforce reduction of about 1,750 roles framed as prioritising investments for “durable growth,” with talk of rehiring in different, more AI-aligned positions later. In effect, Workday wants AI to take on the incremental workload that would once have required new recruits. Combined with Intuit’s simultaneous job cuts and revenue upgrade, this signals an industry-wide shift: mature software platforms are designing operating models where additional revenue comes from system intelligence and automation, not proportional increases in human staff.
