Scale AI Undergoes Restructuring, Lays Off Hundreds Amidst Shifting Market and Meta Investment

Scale AI's San Francisco headquarters, June 2025. Photo via Getty Images.

Scale AI's San Francisco headquarters, June 2025. Photo via Getty Images.

Scale AI, a prominent data-labeling startup, has announced significant layoffs, impacting approximately 200 full-time employees, or 14% of its workforce, as well as 500 contractors. This restructuring comes on the heels of a substantial $14.3 billion investment from Meta last month, a move that has reportedly coincided with some of Scale’s customers leaving for other venues.

Interim CEO Jason Droege attributed the workforce reduction to “shifts in market demand” and a realization that the company “ramped up [its] GenAI capacity too quickly.” However, industry reports suggest a deeper issue, with some companies reportedly distancing themselves from Scale AI following its closer ties with Mark Zuckerberg’s Meta.

Internal Communications Detail Layoffs and Restructuring

An email from Droege, obtained by Business Insider, was circulated among employees in Scale AI’s generative AI team on Wednesday morning, informing them that “some members” would be leaving that day. The letter outlined that Scale AI would “restructure several parts of the GenAI organization,” which has been responsible for annotating training data for advanced chatbots like Google’s Gemini and xAI’s Grok.

A separate email, sent to all employees and viewed by The Verge, further detailed the reorganization. The GenAI team will be consolidated from 16 pods to five, focused on “code, languages, experts, experimental, and audio.” The company also plans to reorganize its go-to-market team into a single “demand generation” team with four pods, each dedicated to a specific customer segment.

In his email to employees, Droege explained the rationale: “The reasons for these changes are straightforward: we ramped up our GenAI capacity too quickly over the past year.” He added, “While that felt like the right decision at the time, it’s clear this approach created inefficiencies and redundancies. We created too many layers, excessive bureaucracy, and unhelpful confusion about the team’s mission. Shifts in market demand also required us to re-examine our plans and refine our approach.”

Droege expressed confidence that these changes will enhance the company’s adaptability to market shifts, improve service to existing customers, and help “win back customers that have ‘slowed down’ work with Scale.” He also indicated that Scale AI would “deprioritize generative AI projects with less growth potential.” Despite the layoffs, Droege assured employees, “We remain a well-resourced, well-funded company.”

Over the past few weeks, reports have surfaced indicating that prominent companies such as OpenAI and Google are terminating their partnerships with Scale AI. While OpenAI denied that its decision was related to any risk of Meta accessing its trade secrets following Meta’s 49% stake in Scale AI, competitors are already seeing an impact. Brendan Foody, CEO of Mercor, a competitor to Scale, told Forbes that his company is “already seeing a huge influx of demand from customers that are phasing out of Scale AI.”

Despite these challenges, Scale AI spokesperson Joe Osborne told Business Insider that the restructuring aims to help the company “move faster and deliver better products to GenAI customers.” Osborne also confirmed that the company remains well-funded and continues to hire in various areas, including enterprise, public sector, and international public sector, throughout the second half of 2025. He also stated that severance has been paid out to impacted roles.

Meta’s Growing AI Ambitions and Talent Acquisition

The significant investment in Scale AI is part of Meta‘s broader strategy to bolster its presence in the competitive AI landscape. Mark Zuckerberg has established a new AI research division, dubbed Meta Superintelligence Labs, with the goal of positioning his social media giant as a more serious competitor in the AI race. Reports suggest Zuckerberg has been offering $100 million signing bonuses to persuade engineers to jump ship from rivals like OpenAI and Google DeepMind.

Meta Superintelligence Labs will be led by Alexandr Wang, the 28-year-old co-founder of Scale AI, who joined Meta after its investment. Zuckerberg, in a memo announcing the partnership, stated, “I consider him to be the most impressive founder of his generation.” Wang will lead alongside former GitHub CEO Nat Friedman, who will primarily focus on AI products and applied research. Rumours also suggest that Zuckerberg has secured Apple’s top AI executive, Ruoming Pang, with a compensation package reportedly worth over $200 million.

Cultural Shifts and Industry-Wide Layoffs

The close relationship with Meta appears to be influencing Scale AI’s internal dynamics as well. Business Insider reported that several VPs, chiefs of staff, and researchers have left Scale AI since the Meta announcement. This exodus may be influenced by Facebook’s parent company’s reputation regarding culture and ethics, which has faced scrutiny in the past. In January, Zuckerberg revealed plans to fire 5% of Meta’s “low-performers” and replace them, according to Bloomberg.

The tech industry as a whole has been experiencing widespread layoffs. TechRepublic has reported on workforce reductions this year at major players such as Amazon, Salesforce, Microsoft (twice), and Duolingo. This trend of restructuring and workforce reductions has been a defining characteristic of the tech sector since the post-pandemic period, as companies that rapidly expanded to meet surging demand for digital services during lockdowns now find themselves overstaffed. In 2022 alone, more than 100,000 jobs were cut across giants like Google, Meta, and Amazon.

Furthermore, the rapid advancement of AI is now playing a significant role in these shifts. Since OpenAI’s ChatGPT gained public attention in late 2022, companies have been aggressively adopting AI to boost productivity and maintain competitiveness. This acceleration has led to increased performance expectations, soaring individual output targets, and, in some cases, the replacement of human roles with AI systems.

Scale AI’s generative AI business unit is scheduled to hold an all-hands meeting tomorrow, followed by a company-wide meeting on July 18th, as the company navigates this pivotal period of transformation.