OpenDoor Lays Off Entire India Team of 250 Employees as AI-Driven Restructuring Reshapes Operations

OpenDoor has announced a major restructuring initiative that will see the company wind down its India-based operations and relocate key roles closer to its customer base in the United States. The move is expected to affect approximately 250 employees in India.

The decision was communicated to employees by OpenDoor executive Kaz Nejatian, who explained that the company had built a sizeable India-based workforce to manage manual operational processes across multiple fragmented systems.

However, with the launch of OpenDoor 2.0 and significant investments in artificial intelligence, automation, and unified workflows, the company has chosen to transition toward smaller AI-native teams operating closer to customers in the US.

Why OpenDoor is shutting down its India operations

According to the company, OpenDoor’s operational model has evolved considerably in recent months. The organization has consolidated its systems, reduced dependence on manual workflows, and introduced AI-powered tools designed to increase efficiency and productivity.

Nejatian stated that operational tasks are now best performed near the company’s customer base, which is primarily located in the United States.

“Our customers are in America, and the operational work we do for them is best done close to them,” he said.

The company believes this transformation will allow it to operate with fewer employees while achieving greater impact through technology-enabled workflows.

AI-native teams become the new focus

OpenDoor said its future strategy revolves around creating compact teams supported by advanced AI tools. The company plans to simplify its operations by reducing unnecessary tools, eliminating manual processes, and building a single platform that tracks a property’s entire lifecycle—from purchase and renovation to resale.

Executives believe AI-powered systems will allow employees to manage broader responsibilities while increasing operational efficiency.

Could this impact India’s outsourcing industry?

The announcement has sparked discussions about the future of India’s outsourcing and offshoring industry. For decades, India has been a preferred destination for technology services and operational support due to its skilled workforce and cost advantages.

Industry observers argue that advances in artificial intelligence may gradually reduce the need for large offshore operations by enabling companies to perform many routine tasks through automation and smaller local teams.

Some experts have described OpenDoor’s decision as a potential turning point, suggesting that businesses may increasingly favor lean AI-assisted teams instead of large operations-heavy workforces.

While a single company’s decision does not necessarily represent a wider industry trend, it highlights how rapidly evolving AI technologies are influencing workforce planning and global business operations.

Support for affected employees

OpenDoor confirmed that employees impacted by the restructuring will receive transition support, including severance packages, outplacement assistance, and additional resources to help them find new opportunities.

A limited number of employees will remain temporarily to assist with the transfer of critical workstreams during the transition process.

The company emphasized that the decision was not related to employee performance and praised the contributions of its India-based workforce.

“Our colleagues in India are great people, and we recommend them to anyone hiring,” Nejatian said.

What this means for the future of work

The OpenDoor restructuring serves as another example of how artificial intelligence is reshaping the global workforce. While AI continues to create new opportunities in technology and innovation, it is also transforming traditional business models and changing how organizations distribute work across countries.

As companies increasingly adopt AI-driven processes, industries worldwide may witness significant shifts in hiring patterns, operational structures, and workforce requirements in the years ahead.