Key HR Technology Trends for 2026 — and How to Plan
Part of a series | 2026 HR Trends Series
Agentic artificial intelligence (AI) is rapidly transforming HR technology, driving new levels of automation and insight. To realize its value, organizations must pair innovation with strong governance and closer HR–IT collaboration. Those that align people, data and technology will gain a competitive edge in 2026 and beyond.
Key takeaways
Agentic AI is becoming a core component of HR technology and HCM systems, helping automate workflows, generate insights, and support decision-making.
Organizations are increasingly using agentic AI for onboarding, payroll, workforce management, and HR operations.
Successful AI adoption requires alignment with business goals, including talent acquisition, workforce efficiency, and labor cost management.
Data quality, interoperability, security, and accessibility are critical foundations for effective AI deployment.
Strong AI governance is becoming essential to manage compliance, privacy, security, and business risks associated with agentic AI.
Human oversight remains a key requirement, helping ensure AI outputs are trustworthy, compliant, and aligned with organizational objectives.
HR and IT teams are becoming more interconnected, driven by shared responsibilities around AI implementation, data security, and technology strategy.
Cross-functional collaboration between HR and IT can accelerate AI adoption while reducing implementation and governance risks.
Organizations that build secure, integrated AI ecosystems will be better positioned to gain a competitive advantage in 2026 and beyond.
HR technology is a driving force behind how work gets done. As organizations grapple with which systems to adopt, how to protect sensitive data and whether HR and IT should merge or simply collaborate more closely, the stakes have never been higher. In our 2026 HR trends guidebook, we explore what this means for compliance, people and technology. This article is part of a series that explores each of these areas in greater detail.
In this article, we'll explore the technology trends that every HR leader should be watching in the coming year.
Agentic AI is becoming central to HCM systems
Organizations of all sizes are already using agentic AI: 48% of large businesses, 25% of midsized businesses and 4% of small businesses have adopted it. Chief human resources officers (CHROs) project a 327% growth in agent adoption by 2027, with 80% projecting that most workforces will have people and AI agents working together within five years. By 2028, Gartner predicts 33% of enterprise software applications will include agentic AI — up from less than 1% in 2024.
Organizations are using agentic AI to automate onboarding processes, simplify validations in payroll workflows and proactively generate insights from human capital management (HCM) data with clear recommendations. To harness its potential, align agentic AI with strategic goals such as attracting talent, enhancing HR efficiency and managing labor costs. Explore workflows ripe for automation where agentic AI can streamline processes and enhance decision-making.
"Agentic AI unlocks new frontiers of automation, coordinating multistep work and adapting to real-world variability," says Amin Venjara, chief data officer, ADP. "Human oversight provides purpose and guardrails, thereby clarifying objectives, approving critical actions and reviewing impacts. Together, they deliver scalable automation that's trustworthy, compliant and resilient when conditions change."
Read, Agentic AI starts with one critical step: Data integration
Building an effective data environment for agentic AI
Agentic AI is already influencing data management strategies and compelling leaders to prioritize seamless data flow between applications. Agentic AI systems use application programming interfaces (APIs) to gather information, make decisions and execute actions, moving beyond simple responses to proactive task completion.
"It's a question a lot of people are asking: How do agents cross ecosystems?" says Naomi Lariviere, chief product owner and vice president of product management. "Once you go beyond a given boundary, how do you know if you're executing in another system appropriately?"
Leaders must recognize that agentic AI introduces challenges around data quality, privacy and security. In fact, most IT leaders (79%) believe AI agents bring new security challenges, while 48% worry their data foundation isn't prepared and 55% aren't confident they have appropriate guardrails.
Strong governance helps protect AI investments
As agentic AI interacts with company data, robust governance is critical. Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027 due to inadequate governance, escalating costs and unclear business value.
As agents access data across various internal and external systems, carefully governing organizational data landscapes is becoming increasingly important. What a person may struggle to find, agents can find easily, creating heightened security and privacy needs.
Agentic AI unlocks new frontiers of automation, coordinating multistep work and adapting to real-world variability.
Amin Venjara, Chief Data Officer, ADP
HR and IT are increasingly interdependent
The relationship between HR and IT is becoming more interdependent as AI reshapes the workplace. A recent survey found that 64% of IT leaders predicted a complete HR-IT merger within five years, while 31% predicted far more collaboration without merging.
As agentic AI adoption increases, HR and IT must work closely together. HR leaders need IT's expertise in implementing complex technologies, while IT needs HR's insight into how tools affect people.
"IT is definitely a bigger part of the decision making than it has been in the past," says Tonya James, vice president of product management for global payroll, ADP. "What they care about are things like user management, data security, integrations and how the integrations work."
Both functions safeguard company data, incorporate people data into business strategy and influence how leadership responds to AI transformation. When HR and IT align, organizations can balance innovation with trust much more effectively.
AI as a competitive advantage
As HR technology continues to evolve in 2026, staying ahead of current trends is about building a foundation for integrated, secure and strategically sound AI practices across your organization. The organizations that thrive will be those that view their AI strategy as a catalyst for creating workplaces where people and innovation can flourish together.
What if your HR technology strategy could help your organization stand out?
Download ADP's 2026 HR trends guide to explore how innovation is reshaping compliance, people strategies and technology in the workplace.
FAQs
What are the top HR technology trends for 2026?
Key HR technology trends include the rise of agentic AI, stronger AI governance, modernized data environments, increased HR-IT collaboration, and greater automation across HR operations.
What is agentic AI in HR?
Agentic AI refers to AI systems that can execute multistep tasks, make decisions, and automate workflows with minimal human intervention while operating within defined guardrails.
How is agentic AI being used in HR?
Organizations are using agentic AI to streamline onboarding, improve payroll processes, automate administrative tasks, and generate workforce insights.
Why is agentic AI important for HCM systems?
Agentic AI can improve efficiency, automate complex workflows, enhance employee experiences, and help HR teams make faster, more informed decisions.
What role does data management play in AI adoption?
Successful AI initiatives depend on high-quality, accessible, secure, and interoperable data that can be shared across systems and applications.
What are the biggest risks associated with agentic AI?
Common risks include data security vulnerabilities, privacy concerns, poor data quality, weak governance, and unclear business value.
Why is AI governance important in HR?
AI governance helps organizations ensure responsible AI use, maintain compliance, protect sensitive data, and promote fair and accurate decision-making.
What does human oversight mean in AI-powered HR?
Human oversight involves reviewing AI recommendations, approving critical actions, monitoring outcomes, and ensuring AI systems operate within organizational policies and regulatory requirements.
Why are HR and IT becoming more interconnected?
As organizations adopt AI and advanced HR technologies, HR and IT must work together on implementation, integrations, security, governance, and employee adoption strategies.
How can organizations improve collaboration between HR and IT?
Organizations can involve both teams early in technology decisions, establish shared governance processes, and align AI initiatives with workforce and business goals.
How can businesses prepare for AI-driven HR transformation?
Organizations should assess automation opportunities, strengthen data foundations, establish governance frameworks, invest in HR-IT collaboration, and maintain human oversight of AI systems.
What is the biggest HR technology opportunity in 2026?
The greatest opportunity is using agentic AI to create more efficient, data-driven, and scalable HR operations while maintaining trust, security, and compliance
