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HCLTech Announces Layoffs in Orlando

Published Apr 8, 2026

120
Employees Affected
Unknown
Percentage

HCLTech's US subsidiary is planning a series of layoffs at its Orlando, Florida, location, impacting 120 employees. The job cuts are scheduled to occur between May and December 2026 and are tied to an operational restructuring.

What happened

HCLTech is implementing a restructuring plan that includes workforce reductions in its US operations. The layoffs in Orlando are connected to the transition of a specific client project.

How many employees affected

The layoffs will affect 120 employees based in Orlando, Florida. The company expects the layoffs to occur between May and December 2026, with a small number of separations potentially extending into early 2027.

Why layoffs happened

The layoffs are part of an operational restructuring related to a client project that is being ramped down or transitioned. HCLTech aims to improve operational agility and protect margins in a shifting technology environment. The company has stated that the job cuts are permanent.

Company background

HCLTech is a global technology company that provides a range of IT services and solutions. The company has a significant presence in the United States and other overseas markets.

Industry impact

The layoffs reflect a broader trend among Indian IT services firms operating in the United States, where workforce adjustments are increasingly tied to client rampdowns and changing outsourcing economics. Industry experts suggest automation and artificial intelligence are accelerating this shift.

What's next

HCLTech has stated that affected workers may be considered for redeployment within the company or across other client engagements, depending on skill fit and availability. The company's restructuring plan is being implemented in phases across FY26, with some impact expected to extend into later quarters. Further workforce adjustments across overseas markets are likely to persist as companies continue to optimize costs and adopt AI-led delivery models.

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