From Growth Companies to AI-Efficient Machines
A growing wave of tech layoffs AI observers once linked to struggling startups is now hitting profitable software giants. Intuit, maker of TurboTax, QuickBooks, Credit Karma and Mailchimp, plans to cut 17% of its roughly 18,200-person workforce—over 3,000 roles—while simultaneously raising its annual revenue guidance. Management frames the move not as crisis management, but as structural optimisation for an AI-first future. This follows Intuit’s earlier decision to eliminate 1,800 roles, around 10% of its staff at the time, in a previous generative AI push. Similar stories are emerging across enterprise software cuts: Upwork, Block, Coinbase, Workday and others have reduced headcount while talking up AI investment strategy. The pattern is clear. Mature software companies are decoupling revenue growth from labour intensity, betting that automation and system intelligence can expand margins without proportional hiring. Workforce stability is becoming a secondary priority to AI transformation.
Intuit’s Bet: Fewer People, More System Intelligence
Intuit’s restructuring illustrates how software company restructuring is shifting from headcount-driven growth to system intelligence. The company is cutting thousands of roles even as it signals stronger top-line expectations, and it plans to rehire into AI-aligned positions, effectively swapping one workforce profile for another. Intuit has inked multi-year deals with Anthropic and OpenAI, integrating ChatGPT and Claude into TurboTax, QuickBooks, Credit Karma and Mailchimp while also piping Intuit’s own tax and finance expertise into those AI platforms. Its AI roadmap prioritises reducing manual tax prep, automating bookkeeping categorisation and embedding predictive, in-product guidance through tools like Intuit Assist. As these AI systems mature, each incremental unit of revenue requires less support, operations or maintenance labour. For customers, this likely means smarter automation and more personalised recommendations—but also fewer humans behind support queues and slower investment in lower-priority legacy features.
Meta’s AI Splurge: Trimming Teams to Fund Infrastructure
Meta is executing a parallel—but even more capital-intensive—AI investment strategy. The company is axing around 8,000 jobs, roughly 10% of its global headcount, with engineers and product teams heavily impacted. At the same time, Meta plans up to USD 145bn (approx. RM667bn) in capital expenditure this year, more than double the USD 72bn (approx. RM331bn) it spent the prior year, largely to build AI data centres, acquire chips and hire specialised talent. Internally, some 7,000 staff have already been redeployed into new teams building AI products, agents and assistants that will be embedded across Facebook, Instagram and WhatsApp. Leadership describes the goal as “personal superintelligence”—deeply personalised AI companions, rather than purely enterprise cloud services. The enterprise software cuts at Meta are less about shrinking the business and more about reallocating resources from traditional product and engineering structures into an AI-first stack, even if that means short-term disruption for existing tools and teams.
Who Gets Cut: Builders, Sellers and the ‘Measurers’
While headlines focus on total headcount, AI does not impact every job equally. Cloudflare’s recent decision to lay off over 20% of its workforce—1,100 employees—offers a useful lens. CEO Matthew Prince invokes Peter Drucker’s classic distinction between builders, sellers and measurers. Builders create products; sellers bring in revenue; measurers manage everything from finance and compliance to operations and middle management. According to Prince, AI is not coming for builders or sellers. If engineers are ten times more productive with AI, companies will want more of them, not fewer. Sales remains a deeply human, relationship-driven function. Measurers, however, are highly exposed. AI can now handle many monitoring, reporting and coordination tasks that once required layers of operations, marketing analysts and internal managers. At Cloudflare, most cuts landed on measurer roles, hinting at where the next round of tech layoffs AI will likely concentrate across the industry.
What This Means for Your Software Tools and the Market
For customers, these enterprise software cuts signal a new phase for familiar platforms, from Mailchimp to social networks. You should expect more AI-driven assistance, automation and predictive nudges woven into everyday workflows, often powered by large-model partnerships like Intuit’s with OpenAI and Anthropic. At the same time, some legacy features may stagnate or quietly disappear as companies shift product roadmaps toward AI-intensive areas with clearer monetisation paths. Support experiences may become more bot-led and less human-mediated, especially in functions classified as “measuring”. Strategically, this wave of software company restructuring is likely to accelerate industry consolidation. Firms that successfully convert labour-heavy processes into AI-enhanced systems will enjoy higher margins and more pricing power, making it harder for smaller rivals to keep up. The trade-off is stark: more intelligent, integrated products—but a tech labour market where stability is sacrificed in favour of AI capability and efficiency.