Do more with less: Is AI making big corporate teams a thing of the past?

A team of 100 once meant scale. It meant capacity, workforce and the ability to get more done. Today, a CFO may look at that same team and ask: Do we really need 100 people?

That question has gained fresh relevance after Nishchay Nath, an IIT Kharagpur and IIM Ahmedabad alumnus and founder of Bengaluru-based startup Bond Scanner, said the company had stopped hiring employees with more than 10 years of experience and scrapped its traditional appraisal cycle. His approach has sparked a wider debate over how companies are rethinking hiring and workforce structures.

But the debate goes beyond one founder. AI is changing the economics of work, allowing machines to handle tasks that once required hours of human effort. As companies automate and restructure, some roles are disappearing and layoffs are becoming part of the transition in parts of the job market.

The shift does not mean every job is at risk. But it is forcing companies to question whether bigger teams deliver more. With the right technology, smaller, skilled teams can potentially achieve the output of much larger workforces.

The question is no longer simply how many people a company employs, but how much value each employee can create.

FROM HEADCOUNT TO CAPABILITY

The shift is not necessarily about the end of large teams, but about changing what companies expect from their employees.

Career strategist and future-skills expert Pradeep Jain says large teams doing repetitive work are increasingly being challenged as AI and automation change how organisations build teams.

“AI and automation are changing the economics of how organisations build teams,” Jain says.

As technology takes over tasks such as reporting, tracking and analysis, companies can rethink how roles are structured. Jain describes this as a shift from headcount-driven to capability-driven organisations, with greater focus on AI skills, analysis, decision-making and problem-solving rather than simply the number of employees.

A SMALLER TEAM, A BIGGER MANDATE

Ashish Dhawan, Managing Partner at NGS Global India, believes this change is already visible in some organisations.

"The 100-person team may soon become less of a badge of scale and more of a question from the CFO: 'Why exactly do we need all these people?'" he says.

Dhawan cites an example from an AI transformation client where 35 bots managed by four programmers are replacing work that previously required 120 to 150 programmers for one of the client's operations in the US.

He also points to a broader shift in which a 20-person team equipped with the right technology can potentially deliver work that previously required a much larger workforce.

But Dhawan stresses that "do more with less" should not mean asking employees to work longer or absorb unlimited responsibilities. Technology, he says, should eliminate low-value work and allow people to concentrate on judgement, creativity, relationships and decisions.

MIDDLE MANAGEMENT FACES A RESET

The pressure for efficiency could also reshape middle management, where many roles involve coordinating employees, monitoring progress and reporting upwards.

AI can increasingly handle some of these functions by tracking workflows, generating reports, analysing data and flagging problems. Jain says this does not make managers irrelevant. Their focus could shift towards leadership, mentoring, decision-making, communication and guiding teams through change.

The result could be fewer management layers, with broader responsibilities for those who remain. The role may change, but the need for leadership will not.

SMALLER IS NOT ALWAYS BETTER

The case for leaner teams, however, should not be confused with an argument that small teams always outperform large ones.

Deloitte's 2025 Tech Value Survey, based on nearly 1,400 US professionals, found that respondents on teams with more than 10 members were nearly twice as likely to report improvements in efficiency, problem-solving and innovation from AI compared with respondents on teams of up to four.

The survey also points to the importance of cognitive diversity and cross-functional connections.

That matters because team size is only one variable. A four-person team may be highly efficient when the problem is narrowly defined. But a complex project requiring engineering, design, product, business and domain expertise may benefit from a larger group with complementary skills.

The question is therefore less about small versus large and more about whether a team has the right combination of skills, technology and collaboration.

Meanwhile, Gallup's analysis of millions of teams shows that smaller teams do not automatically perform better, with engagement levels varying widely even among teams with fewer than 10 members. As the relationship between team size, productivity and turnover differs across industries, there is no universal team size that guarantees better performance.

As companies redesign teams around AI, the focus may increasingly shift from headcount to having the right mix of skills, technology and leadership.

THE EMPLOYEE EQUATION IS CHANGING

For workers, the transformation could be just as significant as it is for employers. Jain says AI may not replace every job, but people who know how to work effectively with AI could increasingly have an advantage over those who do not.

The World Economic Forum's Future of Jobs Report 2025 identifies AI and big data, technological literacy and other technology-related capabilities among the fastest-growing skill areas. It also highlights creative thinking, resilience, flexibility, curiosity and lifelong learning as increasingly important skills.

Jain argues that degrees will continue to matter, but a degree alone may not be enough.

Analytical thinking, creativity, communication, adaptability, technological literacy and problem-solving are likely to become increasingly important alongside formal qualifications.

That creates a new expectation for employees: not simply to know their job, but to understand how technology can change the way that job is done. The most valuable skill may therefore be adaptability itself.

WHEN 'LEAN' BECOMES 'OVERLOADED'

There is a risk of turning efficiency into a headcount-cutting exercise. If companies simply distribute the work of departing employees among those who remain, productivity may not improve, the workload may simply increase.

AI should eliminate repetitive work and free employees to focus on higher-value tasks. Otherwise, "do more with less" could become "do more with fewer people."

The key question is: Are employees doing more valuable work, or simply more work?

Recent layoffs at companies such as Oracle and Adidas underline the broader workforce shift. According to Layoffs.fyi, 128,536 tech employees across 299 companies had lost their jobs globally by September 10, 2026, already surpassing the total recorded in 2025.

The trend reflects restructuring, changing business priorities and growing investment in AI and automation.

THE END OF THE BIG TEAM, OR THE OLD WAY OF BUILDING TEAMS?

The 100-person team is unlikely to disappear simply because AI has arrived. Some teams may shrink as technology automates routine work, while others will remain large where diverse expertise, collaboration and human interaction are essential.

What is changing is the assumption that more work automatically requires more people. Companies may increasingly ask whether they need additional employees, different skills, better technology or a combination of all three.

The shift is from headcount-driven growth to capability-driven productivity, with the focus increasingly on whether employees are creating more value or simply handling more work.