
What happened
ADP's Potential of Payroll 2026 research found 75% of payroll leaders say keeping up with local regulations is a significant challenge, 68% report incurring penalties for noncompliance once or twice a year, 69% sometimes overpay employees rather than risk a compliance violation, and around half have automated core processes like data collection (52%), data entry (49%), reconciliations (47%) and reporting (49%).
Why it matters
The high rate of noncompliance penalties highlights the difficulty payroll teams face in keeping up with local rules, and the fact that many overpay rather than risk violations suggests compliance concerns are driving costly decisions, according to the research.
What to watch
ADP argues businesses must first determine where AI fits, how it should be governed and when human expertise needs to step in, so the real test is whether companies can adopt AI responsibly without losing the human oversight that catches exceptions.
WHO IT HITSPayroll and HR leaders at multinational companies will face pressure to balance automation with compliance, as the research shows widespread struggles with local regulations and penalties.
Summaries like this, in your inbox every morning.
ADP's commentary draws on nearly eight decades of experience in payroll services, tracing its evolution from manual processing to cloud and mobile solutions, and now to AI. The company's research shows that payroll leaders are struggling with growing complexity: 75% say local regulations are a significant challenge, 68% incur noncompliance penalties once or twice a year, and 69% sometimes overpay employees to avoid compliance risks. While around half have automated core processes, ADP argues that rushing to automate without human oversight can scale errors rather than eliminate them. The stakes are high for businesses operating across multiple jurisdictions, where tax rules and employment laws vary and change frequently. ADP's position is that AI should augment, not replace, human expertise — helping people find information faster and streamline routine work while ensuring someone can recognize exceptions and take accountability. Whether companies can achieve that balance will determine if AI delivers real efficiency gains in payroll and HR.
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