Cloudflare’s Paradox: Record Revenue, Massive Layoffs
Cloudflare has become the clearest example of tech layoffs driven by AI, not collapsing demand. The company is cutting more than 1,100 employees, or around 20% of its workforce, even as quarterly revenue climbs 34% to about USD 639.8 million (approx. RM2.95 billion) and future contract commitments exceed USD 2.5 billion (approx. RM11.5 billion). Leadership insists these cuts are not a cost-cutting exercise, but a strategic move to reshape the organisation for what they call the “agentic AI era.” Internally, AI usage has surged 600% in just three months, with employees across engineering, HR, finance and marketing running thousands of AI agent sessions daily. Cloudflare is eliminating roles that executives say are “not the roles we need for the future,” particularly support and back-office positions, while continuing to hire people adept at leveraging AI and planning to bring in more than 1,000 interns to ramp up AI use.
From Support Staff to AI Agents: How Work Is Being Re-Architected
The Cloudflare layoffs illustrate how AI is reshaping job design inside tech companies. Management describes the change as moving from “manual tools to power tools,” with AI agents now embedded in daily workflows. Almost all software development is augmented by AI, and autonomous systems conduct code reviews before deployment. Administrative functions such as HR, finance and marketing are increasingly automated, reducing the need for traditional coordinators and clerical staff. Executives argue that productivity gains have been “incredible” for roles that directly create code or generate revenue, while many supporting roles no longer fit the operating model. The message is stark: tech firms believe value will increasingly be created by smaller, AI-augmented teams that lean heavily on agents for routine tasks. Workforce transformation with AI is less about trimming fat and more about rebuilding the organisational core around people who can orchestrate and extend these new tools.
GitLab’s ‘Different Kind’ of AI-Era Restructuring
GitLab is pursuing its own brand of AI-era restructuring, framing it carefully to distinguish it from headline-grabbing tech layoffs linked to AI. The company has opened a voluntary separation window and is holding manager-led conversations with staff as it repositions itself as “the trusted enterprise platform for software creation in the AI era.” Officially, leadership says this is not an “AI optimization or cost cutting exercise,” yet the savings from reduced headcount will be channelled into core AI-related infrastructure bets. These include agent-specific APIs, redesigned CI/CD pipelines, richer data models for context, governance capabilities, and support for human-owned, agent-assisted and autonomous workloads. The company also plans to shrink its operational footprint by cutting the number of countries in which it maintains small teams. In practice, GitLab is reallocating payroll into AI-enabling capabilities, while nudging employees misaligned with this direction toward the exit.
Hiring AI Talent While Cutting Traditional Roles
Across the industry, tech layoffs and AI are increasingly intertwined. Cloudflare, for instance, is simultaneously laying off about 20% of its workforce and planning to hire more than 1,000 interns to accelerate AI adoption, along with new professionals skilled in using AI technologies. Similar patterns are emerging at other firms, which are redesigning management layers and IT functions to support AI-first operations. In these restructuring moves, companies are not merely trimming staff; they are changing who gets hired and why. Roles focused on manual coordination, routine IT support or narrow functional silos are giving way to positions that blend domain expertise with AI fluency. Organisations are looking for engineers who can collaborate with autonomous agents, product managers who understand data governance, and operations leaders who can design AI-powered workflows. This shift suggests a long-term rebalancing of headcount away from traditional white-collar tasks toward AI-native capabilities.
What AI-Powered Workforce Restructuring Means for the Future of Tech Jobs
The current wave of tech layoffs tied to AI points to a deeper workforce transformation rather than a temporary correction. Company leaders now openly attribute job cuts to changing technology at work, reversing earlier reluctance to link layoffs to AI. Cloudflare’s executives talk about “architecting” the organisation around agentic AI, while GitLab’s strategy revolves around supporting human-owned, agent-assisted and autonomous workloads. Other prominent tech players have also reduced staff while citing changing technology trends, reinforcing the idea that AI is recalibrating job requirements across the sector. In this AI-powered workforce restructuring, demand is likely to grow for roles that design, govern and collaborate with AI systems, even as headcount shrinks in traditional support and mid-layer management. For workers, the message is clear: staying relevant in tech increasingly means learning to work with, direct and add value on top of AI, not simply alongside it.