AI agents redefine global services and human roles: opinion
NOIDA, INDIA — The global services economy is undergoing a quiet revolution, as companies increasingly harness artificial intelligence (AI) to decouple revenue growth from headcount.
In an opinion piece published in The Economic Times, industries from IT outsourcing in Bengaluru to management consulting in New York are rethinking the old rule that scaling a business meant expanding payroll.
The metric of success is shifting “from the size of your workforce to outcome per unit of intelligence,” a change that is already affecting the balance sheets of Global 2000 companies, according to Touring Capital co-founder Samir Kumar.
AI agents redefine human roles
For years, AI functioned as a “copilot,” assisting employees in performing tasks more efficiently. Today, companies are deploying AI as autonomous “agents” capable of executing entire workflows.
Kumar notes this marks a turning point where “white-collar [labor] gets disrupted not by replacement but by re-architecture.”
While AI handles routine processes, humans are taking on high-value oversight roles as “maestros,” designing workflows, setting guardrails, monitoring outputs, and intervening when systems drift.
“Value of the human shifts from doing the work to ensuring the outcome,” Kumar explained.
Companies like IKEA are already illustrating the impact. By using the AI agent ‘Billie’ to manage 47% of customer support queries, IKEA cut costs while retraining 8,500 call center workers to become interior design advisers.
“They swapped the routine ‘human capital’ required for answering basic questions with ‘computational capital’ (the agent) and reinvested the human potential into high-value creativity,” Kumar said, highlighting a new model where AI amplifies human contribution rather than replaces it.
Speed and competitive advantage
Beyond cost savings, AI-native companies gain speed. Traditional feedback loops—launching campaigns, gathering data, analyzing results—can take weeks, whereas AI-enabled experimentation can test hundreds of variations within hours.
Kumar emphasizes that “computational capital allows [organizations] to make decisions at the speed of software, not the speed of scheduled meetings.”
The next decade, he suggests, will favor companies that “use this speed to outlearn their competition.”
The current acceleration of business operations has created new methods for leaders to evaluate both performance and risk metrics.
The accelerated decision-making process enables businesses to react to market indicators in almost immediate time frames, but this improvement creates higher requirements for their governance frameworks, the integrity of their data and their accountability.
Kumar warns that organizations which use AI agents on a large scale must establish effective monitoring systems to stop mistakes from spreading at the same speed as they gain valuable knowledge.
For the outsourcing industry, the implications are profound. The shift to intelligence-driven workflows means firms must invest not just in talent but in computational infrastructure, balancing humans and AI for maximum impact.
Efficiency gains are real, but success will go to organizations that redesign work to place humans where judgment matters and machines where scale matters—transforming both how services are delivered and how careers are defined.
