Key HR Technology Trends for 2026 — and How to Plan for Each
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. New HR technology trends lay the groundwork for agentic operations that combine people, processes and innovation. Here are four to watch in 2026.
HR technology is a driving force behind how work gets done. In our 2026 HR trends guidebook, we explore what this means for the intersection of compliance, people and technology. This article is part of a series that explores each of these areas in greater detail.
Here are the key human resource technology trends every HR leader should watch this 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 agentic technologies. 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.
"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."
To harness its potential, HR teams must 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.
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.
Effective data environments depend on accessibility and interoperability. If agentic tools are blocked at every turn by accessibility, storage or resource requirements, their efficacy is limited. Leaving agentic AI to its own devices, meanwhile, puts data and users at risk of accidental exposure.
Address both challenges with a human in the loop. Set clear AI guidelines and guardrails, then leverage human expertise to ensure rules are followed and data is secure. Regularly reevaluate operations and make adjustments as needed.
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.
Creating a strong governance framework starts with assessment: Where is data stored? How is it used? What security risk does it represent? Next, teams need to map AI interactions and pinpoint possible weak points. This enables the development of targeted governance processes that help limit AI risk.
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 more businesses adopt agentic AI for human resources, 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 align innovation with trust much more effectively.
To manage this potential merger, look for overlapping operations that benefit from shared expertise. Consider the deployment of a new agentic AI tool. By bringing both IT and HR into the conversation as early as possible, organizations can identify both tech infrastructure and adoption barriers, and use their collective experience to balance both.
The HR tech trends takeaway: AI is the 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?
Dive deeper: Download ADP's 2026 HR trends guide to explore how innovation is reshaping compliance, people strategies and technology in the workplace.
Frequently Asked Questions
1. What are some of the key trends in HR for 2026?
Four of the trends shaping HR in 2026:
Agentic AI is becoming central to HCM systems.
Organizations must build data environments that support agentic AI initiatives.
Improved governance is required to navigate agentic AI compliance.
The adoption of agentic AI requires greater HR and IT alignment.
2. How will agentic AI impact HR?
Agentic AI will impact how businesses recruit, onboard, train and pay employees. Human oversight, however, will remain critical to provide both a clear purpose and strong guardrails.
3. What strategies support HR AI deployments?
Organizations need to prioritize data governance strategies that ensure data visibility, security and operational compliance. What humans may struggle to find, AI tools can easily access using cross-ecosystem APIs, making strong governance essential.
4. How do organizations balance HR and IT?
Increased collaboration is a must for HR and IT, with 64% of leaders predicting a total merger in five years. HR teams need IT expertise in technology deployment and management, while IT staff require HR's perspective on the human impact of AI.
