HR technology is moving from screen-based tools to voice-driven, conversational AI that can manage complex workflows, analyze data in real time and support managers through natural speech. Recent advances in agentic AI and natural-language processing have made voice interfaces more accurate and capable of operating autonomously across HR functions. As voice interactions lower barriers to AI adoption, organizations can integrate conversational workflows.

The role of HR technology in national security has evolved, with modern concerns extending beyond traditional military might to help governments and organizations manage skills shortages, labor mobility and workforce readiness in real time. This shift positions HR tech as a strategic asset, essential for maintaining national security in a rapidly changing world.

Online job applications fell to 66% of interviews in 2025, the first decline since 2012, according to Glassdoor. The decline coincides with the rise of AI tools that make it easier for candidates to submit polished applications, making it harder for recruiters to identify high-quality candidates. Employee referrals remain effective, with referred candidates 35% more likely to receive job offers.

The adoption of AI interview agents is emerging as a notable trend in recruitment, with Gartner's latest survey revealing that 9% of candidates have completed an interview conducted by AI. These AI-led interviews are particularly prevalent in technology, telecommunications and professional services sectors. While only 31% of those interviewed by AI were informed in advance, openness to AI interviews is growing: 30% of all candidates consider them, and this jumps to 61% among those with prior AI interview experience.

Organizations should use context-aware AI to improve talent management, write researchers Ram Bala, Natarajan Balasubramanian and Amit Joshi. Unlike traditional AI tools that focus on speed and automation, context-aware AI can interpret information within the organizational and situational context, allowing for more nuanced decision-making.

The US workforce is undergoing a demographic shift as more people continue to work into their 60s and 70s, driven by longer life expectancies and financial necessity. Revelio Labs data shows the average age of new hires rose from 40 in 2016 to 42 in 2025, with inflows for workers 65 and older up nearly 80% since 2019. The share of workers aged 25 and under dropped from 14.9% in 2022 to 8.8% in 2025.

The $27 billion learning management system market is growing as employers seek better control over training processes. By centralizing all training content, assignments, reminders and records, HR can quickly verify completion and respond efficiently to audits or incidents. The automation of reminders and role-based assignments reduces manual tracking and errors, while detailed reporting features allow for real-time insights into training progress and compliance status.