U.S. companies are simultaneously adopting agentic AI to reduce headcount whilst expanding offshore hiring, a paradox that exposes a fundamental misunderstanding of how automation reshapes labour markets. Salesforce's decision to cut 4,000 customer service roles in favour of AI-augmented agents reflects the prevailing narrative that automation displaces workers. Yet the data tells a different story: Philippine call centre employment has nearly doubled from 2016 to 2025, reaching 2 million workers, whilst unemployment there has fallen from 9% to 4%. India's labour market has remained stable at 7% unemployment. This isn't a lag in market adjustment—it's Jevons paradox operating at scale. As AI makes customer service interactions cheaper and faster, companies aren't reducing their service footprint; they're expanding it. Lower cost per interaction drives higher volumes, new channels, and previously unprofitable markets. The question for CX leaders is whether your organisation is capturing this expansion or simply automating away margin without scaling demand.
The implications for support teams and platform administrators are substantial but nuanced. Brookings Institution research suggests 86% of customer service tasks have high automation potential, yet this hasn't translated into mass displacement offshore. Instead, AI is functioning as a productivity multiplier: Stanford research found AI-assisted agents increased output by 14% per hour, which typically translates to expanded service capacity rather than headcount reduction. However, this assumes your team is structured to absorb that productivity gain. For teams already running Agentforce or similar agentic platforms, the critical question becomes whether you're using the efficiency gains to serve more customers or simply reducing operational spend—the former sustains employment and justifies continued investment, whilst the latter creates a race to the bottom on labour costs that ultimately commoditises your service offering.
The sustainability of offshore hiring depends on factors that extend beyond pure automation potential. Benjamin Shestakofsky's observation about "AI brain fry" and human cognitive limits suggests that even as AI handles routine interactions, the volume of complex cases requiring human judgment may increase faster than AI can resolve them. Additionally, some brands explicitly position human agents as a competitive differentiator in an increasingly automated landscape. For CX professionals, this creates a bifurcated future: high-volume, low-complexity interactions will consolidate toward AI-first models (potentially reducing offshore hiring), whilst complex, relationship-driven support will remain labour-intensive and geographically distributed. Your platform strategy should reflect this split rather than assuming uniform automation across your support matrix.
The AI boom hasn't stopped U.S. companies from hiring cheap offshore workers Fortune