Chegg Inc（CHGG）資訊與事件CHGGChegg Inc

Chegg Launches Next Phase of Strategic Roadmap to Aid AI Model Training

Chegg announced the next phase of its strategic roadmap, applying its proprietary data, operational expertise, and calibrated network of subject matter experts to help organizations train and evaluate world-class AI models. As AI systems increasingly rely on reinforcement learning from human feedback and rigorous evaluation, the demand for accurate, domain-specific expertise - particularly in STEM fields - has become critical. Chegg is uniquely positioned to meet this need, combining its extensive experience delivering high-quality academic solutions with a deeply structured approach to managing expert-generated content at scale. Unlike emerging talent marketplaces that primarily connect AI labs with subject matter experts, Chegg's approach is built on over a decade of developing operational systems that not only source experts but rigorously assess, align, and continuously improve their output. This enables Chegg to go beyond providing a human layer of expertise by delivering the back-end calibration and quality assurance required to produce reliable, high-quality training data consistently. This operational capability addresses a core challenge facing AI development today. As models become more sophisticated, the bottleneck is no longer purely technical - it is the ability to manage and maintain consistent, high-quality human input. Chegg's strength lies in solving this operational challenge, ensuring that expert contributions are structured, auditable, and aligned to the needs of modern AI systems. "At Chegg, we're excited to expand our strategic focus to help train the next generation of AI models," said Dan Rosensweig, CEO. "As these systems become more advanced, success depends not just on model architecture, but on the quality of the data and human expertise behind them. With our experience building highly accurate, structured learning systems - combined with millions of complex, step-by-step reasoning solutions and our rigorously calibrated expert network - we're uniquely positioned to help AI models develop true reasoning and problem-solving capabilities."

Chegg Reports Q1 Revenue of $63.3M, Exceeding Estimates

Reports Q1 revenue $63.3M, two estimates $61.0M. "Q1 was a strong quarter. We exceeded expectations for revenue, adjusted EBITDA, free cash flow, and delivered positive net income for the first time in two years," said Dan Rosensweig, CEO and Executive Chairman of Chegg. "The foundation for future growth is now in place, and we are focused on expanding our skilling business where we continue to expect double-digit revenue growth for full-year 2026 and the market opportunity has never been clearer."