ATD Research Report topics

February 2027
Training Metrics that Matter
This study examines the current state of learning measurement practices and includes a small study of CFOs to find out what training metrics are important to them.
March 2027
The State of Virtual Learning
This report will explore current practices, including the platforms and tools used, and strategies for engaging remote learners. It examines the benefits organizations are realizing from virtual learning, alongside the challenges TD professionals face. 
May 2027
State of the Industry (includes 2 co-sponsorships)
ATD’s annual overview of TD trends, spending, and activities, providing a helpful benchmark for organizations. This year, we're excited to introduce a new section focusing on salary and benefits for TD professionals.
June 2027
AI Fluent Leadership
This report examines how organizations are integrating AI fluency into leadership development, as leaders increasingly need to evaluate AI-generated recommendations, guide AI adoption within their teams, and navigate the ethical and operational implications of AI-augmented work. This report will also explore how AI fluency is being built into existing leadership curricula versus offered as standalone training. 
August 2027
Personalized Learning
This report will focus on technology-driven personalization. It will examine how TD professionals are using data and individual performance signals to tailor content, pacing, and skill-building for learners. 
September 2027
Skills Gap
ATD’s 2027 Skills Gap Report, the ninth in this series, will investigate the skills gaps organizations currently face and those expected to emerge.
November 2027
Frontline Leadership
This study examines how ready these leaders feel to carry out their responsibilities, what training they have already received, and where additional development could have the greatest impact.
December 2027
Human Judgment in AI
This research will examine where human expertise remains essential in an AI-driven learning ecosystem. The study will also investigate how organizations define appropriate boundaries between automation and human oversight.