Analyst Perspectives

The shift roster has always been a place where strategy becomes personal. It decides who works, when they work and how predictable their lives can be from one week to the next. When scheduling becomes more automated, the consequences show up immediately in worker sentiment, manager workload, overtime spend and service levels. That is why the rise of artificial intelligence (AI)-driven scheduling...

The quickest way to derail an HR analytics effort is to publish a dashboard that people do not believe. You can feel it in the meeting when the questions stop being about decisions and start being about whether the numbers are real. Leaders ask for “the actual headcount,” HRBPs keep their own trackers, and the room quietly agrees the system is helpful but not authoritative. At that point, the...

Recruiting technology still carries the fingerprints of an earlier operating model, one where hiring was managed as a series of isolated requisitions and success was measured by how efficiently a team could move a candidate from application to offer. That model created durable strengths around workflow, compliance and visibility, and most organizations still need those strengths. The problem is...

I recently attended ADP’s 2026 Rethink event and had the chance to hear the company’s latest thinking for its international clients and analyst community. The HCM market is shifting quickly. AI is accelerating across the enterprise, labor markets are reshaping themselves, and buyers increasingly expect unified platforms that connect HR, payroll, workforce management, data, and intelligence. ADP...

A payroll leader gets a message the morning after payday: “Why is my net pay lower than last period?” In many organizations, that question still sends employees into a maze of portals, PDFs, tickets and handoffs. Payroll is not a background utility in the eyes of employees: it is one of the most frequent and emotionally loaded moments of truth. When pay is right, people move on. When it is wrong,...

Payroll is no longer a single application that runs quietly in the background; it is an ecosystem that spans time capture, scheduling, pay rules, benefits deductions, tax engines, security controls and the employee experience layer. Employees do not see the ecosystem, but they feel it every single payday with total clarity. When it works, it reinforces the belief that the organization keeps its...

Picture a world where a role opens and your first instinct is to look inward with confidence. You open your talent marketplace and see people who are ready now, plus people who could be ready soon with targeted support and development. Instead of defaulting to external recruiting, you redeploy talent faster and keep high potential employees from quietly disengaging. That is the promise behind...

HR and Finance rarely agree on the same numbers, and the reasons run deeper than a simple spreadsheet mismatch. It’s a symptom of siloed business processes and disconnected data models that create misalignment at every turn. Underneath that are unclear data definitions, governance strategies without real accountability and cultural priorities that pull the two functions in different directions....

Payroll is no longer a back-office function. It has become a frontline trust engine that touches every worker, every pay cycle and the moments that matter most. When pay is right, confidence grows quietly and people focus on the work in front of them. When it is wrong, trust fractures instantly and the damage is disproportionate to the size of the mistake. Frontline employees feel this most...

Buying HR technology is a significant decision. It requires months of software provider reviews, internal alignment, business case development and implementation planning. When the contract is signed and the system goes live, it often feels like the hard part is over. In reality, the work that determines actual success is just beginning.

I have been using the term “data pantry” (somewhat tongue in cheek) to describe a curated, governed and readily accessible collection of enterprise data that business users can draw on to support the use of core business software. This includes ERP, CRM and supply chain management software, as well as essential business processes such as analytics, forecasting and planning. This form of data...

Let's be blunt: The pressure to adopt AI in HR is a panic button being hit by the C-suite. The mandate from the boardroom is clear, and the pressure is intensifying: HR must adopt AI to remain competitive. This directive often lands on the desks of HR leaders who are already managing complex environments, creating a dangerous disconnect between executive ambition and operational reality.

Integration has evolved from a technical requirement into a strategic cornerstone in today’s HR technology landscape. Yet many organizations still treat connectivity between systems as a back-end IT concern rather than the foundation of the employee experience. That mindset is rapidly becoming a liability. The reality is simple: If your systems cannot connect, your strategy cannot connect either.

HR technology is entering a new era, and with it comes a challenge that many leaders underestimate: the need to embrace platform thinking as a core competency. For years, we’ve approached technology decisions as a way to solve pain points—patching gaps, fixing inefficiencies and responding to immediate needs. That mindset is understandable, but it’s also the reason so many organizations are...

You can buy the flashiest software in the marketplace, win awards for digital transformation and run a picture-perfect implementation project. But if your data foundation is shaky, none of it will deliver. Organizations invest millions in tools only to stumble over incomplete, misaligned or fragmented data. The wall they hit afterward? It is built from poor decisions disguised as “glitches.”

There is a different kind of friction emerging in the HR technology market today. It is harder to quantify but easier to feel if you are inside the decision-making process. It is not a lack of interest or even budget. It is fatigue.

You can’t examine an HR software roadmap today without encountering AI—ubiquitously. Natural language search, skills inference, personalized learning, intelligent automation, adaptive planning, worker twins, conversational agents... These aren’t just new features; they represent a new organizing principle. A new architecture for how platforms structure work and how individuals engage with systems.

There’s a subtle but important truth I’ve seen play out across dozens of organizations: HR software doesn’t define your strategy—but it will expose whether you have one. Too often, organizations treat the HR software stack as a series of independent decisions: a new ATS here, a learning platform there, maybe a refreshed core HRIS every few years. Each decision is justified on its own. Each serves...

Skills software is everywhere right now. Talent marketplaces, intelligent learning platforms, artificial intelligence (AI)-powered upskilling tools—the market is saturated with promises of personalized growth, agile workforce planning and dynamic career pathing. And to be clear: the vision is compelling. The idea of surfacing internal talent, guiding career development and aligning skills to...

For nearly 20 years, I have attended the Human Resources Technology Conference and Expo to take the temperature of the market. This year, the energy felt different—less showy, more grounded. I was able to engage with more than 40 software providers for deeper-dive discussions, and I left with three big takeaways and one nagging concern that I can’t shake.