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Talent Acquisition

AI Needs Humans in the Loop: The Next Phase of Workforce Technology

Artificial intelligence (AI) is rapidly becoming part of the workforce technology landscape, but the most effective applications may not be the ones that attempt to remove people from the process. Instead, AI is increasingly being positioned as a capability that can augment workflows, improve decision-making, and give leaders better information while preserving human judgment.

That distinction is becoming especially important as organizations navigate an increasingly crowded AI market, said Atrium’s VP of Enterprise Solutions, Kelly Couto, who was recently featured on a Future of Work Exchange (FOWX) Podcast with FOWX Managing Director Christopher Dwyer.

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Direct Sourcing Moves Into Its Next Generation

Direct sourcing is hardly a new concept, but its role in the extended workforce continues to evolve. What began as an emerging strategy for accessing known talent populations has become an increasingly important component of broader workforce programs. As Atrium’s VP of Enterprise Solutions, Kelly Couto, discussed during a recent Future of Work Exchange (FOWX) Podcast, featuring FOWX Managing Director Christopher Dwyer, the opportunity is no longer simply about creating a direct talent pool. It is about understanding how that pool fits alongside suppliers, early talent, managed services, and other workforce channels.

For organizations managing large contingent workforces, that distinction matters.

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The Future of Contingent Workforce Management Is Orchestration

The contingent workforce has become too important to manage as a collection of isolated transactions. Organizations are balancing fluctuating demand, specialized skills, constrained budgets, supplier relationships, compliance requirements, and growing expectations around workforce flexibility. As a result, contingent workforce leaders are increasingly being asked to do more than fill openings. They are being asked to orchestrate talent, technology, suppliers, and business requirements around broader workforce outcomes.

That shift was a central theme during a recent Future of Work Exchange (FOWX) Podcast, featuring Cristin Monnich, Head of Services for Worksuite. Monnich highlighted a fundamental change in how organizations should think about external talent: not simply as labor to procure when internal capacity falls short, but as a strategic source of skills, relationships, flexibility, and competitive advantage.

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Introducing a New Subscription Model

To continue providing valuable insights and resources on the future of work and extended workforce management, we’re transitioning our site to a paid subscription model. While some posts will remain free, subscribing will grant you exclusive access to in-depth analysis, market research, expert interviews, and actionable strategies that will help improve your business. Solution providers and practitioners are invited to join today and gain a competitive edge by tracking the industry’s important innovations, emerging trends, and best practices.

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Beyond “When in Doubt, Use EOR”: A Smarter Approach to Worker Classification

Worker classification has become one of the more complex challenges facing organizations that rely on independent contractors, freelancers, and other forms of contingent talent. Shifting regulations, varying state requirements, and high-profile misclassification cases have created an environment where companies can be tempted to take the safest-looking path: classify more workers as employees or use an Employer of Record (EOR) model whenever there is uncertainty. However, during a recent Future of Work Exchange (FOWX) Podcast, Cristin Monnich, Head of Services for Worksuite, explained that excessive caution can create its own costs and talent risks.

Compliance Requires More Than Choosing the Safest Option

The fundamental challenge is determining how a worker should actually be classified. An independent contractor operating as an independent business is fundamentally different from an individual who functions as part of a company’s internal workforce. Treating those two situations the same can create problems for both the organization and the worker. Monnich argues that organizations need to become more intentional about understanding the distinction between an EOR and an Agent of Record (AOR) model. An AOR can be appropriate when an individual is legitimately operating as an independent business, while an EOR is designed for situations where a worker is functioning more like an employee. Forcing an independent worker into an employee structure can create additional costs and potentially cause the organization to lose valuable talent.

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Introducing a New Subscription Model

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From Coverage to Coordination: Designing the Future Healthcare Workforce

The healthcare workforce is undergoing a fundamental transformation. What was once largely a staffing and fulfillment challenge has become a broader question of workforce orchestration. Health systems must balance limited clinical talent, complex credentialing requirements, fluctuating demand, financial pressure, and the need to provide an experience that attracts and retains skilled professionals. During a recent Future of Work Exchange (FOWX) Podcast, David Durbin, President of Trio Workforce Solutions, said that as those challenges intensify, organizations are looking for ways to gain greater visibility into their talent and make better decisions about how work gets done.

Durbin describes this evolution through the idea of orchestration. Health systems may already have significant investments in workforce management, scheduling, talent acquisition, and other technologies, but those systems do not always provide a unified view. The result can be fragmented information and limited visibility into the choices available to leaders when a workforce need emerges. A more orchestrated approach begins with the talent an organization already has. If clinicians within a health system have additional capacity, an internal resource pool or agency can potentially provide an alternative to immediately seeking external workers. And if internal resources cannot meet the need, the organization can then expand its search to external talent and staffing partners. The objective is to make those options visible and allow leaders to determine the most appropriate solution based on the situation.

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Introducing a New Subscription Model

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Removing Friction: The New Priority for Healthcare Workforce Management

Healthcare has always been one of the most essential parts of the workforce, but the way health systems manage talent is changing rapidly. For years, workforce management often centered on a straightforward objective: fill an open position. Today, that approach is no longer sufficient. Health systems are increasingly focused on understanding the workforce they have, identifying where additional talent is needed, and determining how to deploy people at the right time and cost. During a recent Future of Work Exchange (FOWX) Podcast, David Durbin, President of Trio Workforce Solutions, spoke about the state of the healthcare workforce, the ever-present challenge of “friction,” the impact of AI on talent acquisition, and more.

Friction Defines Healthcare Workforce Management

One word captures the current state of healthcare workforce management: friction. Durbin said that friction exists throughout the ecosystem, from clinicians seeking opportunities and health systems attempting to fill critical roles to agencies supporting healthcare talent.

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Introducing a New Subscription Model

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The Rise of Services as the X-Factor in the Talent Technology Ecosystem

Last week’s Future of Work Exchange feature piece on the “state of” EOR solutions sparked another thought: if we’re talking about services within the talent solutions landscape, what has changed and what needs to change?

The major difference between the HR tech, talent acquisition, and extended workforce solutions realm and every other industry (like IT, finance, etc.) is that “services” within these sectors doesn’t just translate into “consulting” or a human in a room hundreds of miles away supplying some type of vague “advice” on an inconsistent basis.

Workforce solutions that offer professional- and enterprise-grade services are foundational, value-add, and multi-modal offerings that traverse the wide spectrum of operations required to effectively find, engage, and manage talent while operationalizing skills alignment.

Actually, that word, alignment, translates into something that makes this industry so special. Think of the biggest stories happening today in the business climate and the one element that rises above the rest.

I’m talking about artificial intelligence, of course. And what comes along with the AI conversation is the worry over displacement and the cold architecture of the largest tech boom in decades.

“For twenty years, workforce programs have been rearview-mirror operations…quarterly reviews explaining what already happened. The convergence of AI and the industry’s massive transactional datasets flips that model: fill risk, rate drift, compliance exposure, and skills gaps can now be surfaced before they materialize, turning services from a reporting function into a forecasting one,” says Dustin Burgess, Head of Customer Experience at Magnit. “The dividing line in this market over the next five years won’t be who has AI, because everyone will, it’s who has the data depth and the services muscle to act on what it predicts.”

For an industry that focuses so much on, well, people, the AI conversation is both riveting and a little confusing. Today’s workforce solutions arena is relied upon to help businesses orchestrate talent strategies while optimizing the acquisition and management of talent. AI’s place in the talent technology ecosystem isn’t to replace the human element that has become the source of value, insights, and expansive, strategic power…it’s to enhance the connective tissue that services already provide.

“In many global industries, workforce success depends on genuine integration, not just a menu of siloed platforms and solutions. At Airswift, we are pushing the market to bring together RPO, MSP, SOW and direct sourcing in a way that reflects how work actually gets done: projects with shifting timelines, regulatory demands, mobilization needs, and talent requirements that rarely fit neatly into one model. By unifying these approaches into a single, skills‑centric framework, we help organizations see their workforce more clearly, respond to change more quickly, and deploy talent with the consistency complex projects demand,” says Jenny Amalfi, President of Americas, Airswift. “Services, essentially, become the X‑factor in making these models work in practice. It’s a practical, connected way of managing talent…and it’s reshaping how companies build and sustain their workforces.”

The contemporary Managed Service Provider (MSP) offering has become a formidable source of workforce management prowess that traverses beyond the normal boundaries of “outsourcing” in a way that sees these solutions shed their “traditional” tag (owed to decades of excellence…even in pre-tech days). Today’s MSPs operate as strategic workforce orchestrators by blending data, intelligence, services, and technology (including, yep…AI!) into a unified engine that supports how work actually gets done. They’re no longer defined by transactional program management; they’re defined by their ability to integrate platforms, optimize talent channels, drive skills alignment, and serve as the connective tissue between business strategy and workforce execution.

In a similar vein, as MSPs have become orchestration hubs for the extended workforce, RPO has become the orchestration layer for permanent talent by connecting intelligence, technology and delivery into a unified capability that supports how organizations actually grow. Today’s RPO-led programs (yes, service-driven!) function as embedded talent engines by integrating market intelligence, skills data, technology platforms, and advisory support to help organizations compete in increasingly volatile labor markets.

In an era when staffing and the greater labor market keep shifting, that level of services becomes that much more critical, doesn’t it?

‘Technology is becoming a commodity; orchestration is becoming the differentiator. The market is moving beyond buying ATS, CRM, VMS or AI tools in isolation,” says Orli Becker, Managing Director, Contingent Workforce Solutions, AMS. “Clients increasingly require a service partner that can integrate these technologies, apply AI responsibly, provide workforce intelligence and deliver measurable business outcomes across permanent, contingent and internal talent. AMS positions itself as that orchestration partner.”

As talent technology platforms mature (especially ATS, CRM, VMS, digital staffing, AI engines, etc.), the differentiator is no longer the software itself, but the service wrapper that surrounds it. Technology delivers capability; services ensure those capabilities become outcomes. The most effective workforce platforms pair automation, intelligence and workflow design with advisory support, configuration expertise, adoption guidance, and continuous optimization. Without that service layer, even the most advanced tools risk becoming underutilized features rather than business‑shaping assets.

“Technology delivers capabilities — but services are what ignite those capabilities into outcomes that actually move the needle. The best technology companies don’t just hand over software; they roll up their sleeves and help customers unlock every ounce of value. That service layer is the spark that turns a technology investment into undeniable, business‑shaping impact,” says Rebecca Valladares, Head of Operations at Opptly.

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Building an AI-Driven Talent Intelligence Engine

Artificial intelligence (AI) is rapidly reshaping the future of human resources, enabling organizations to move beyond process automation and toward more intelligent, data-driven talent strategies. As workforce demands grow more complex, AI has become an essential tool for helping HR leaders improve recruitment, optimize talent management, and make faster, more informed decisions across the employee lifecycle. By combining AI, machine learning, and advanced analytics, HR teams can streamline routine tasks, personalize workforce experiences, and drive stronger talent outcomes from candidate engagement through employee retention.

The adoption and utilization of AI technologies are proving transformational for HR professionals and their industry. According to Sameer Maskey, founder and CEO for Fusemachines, and adjunct associate professor at Columbia University, in a Forbes article, “Clearly, AI is primed to disrupt the HR industry as we know it. In fact, with AI, HR teams are poised to serve as a critical and strategic ‘talent insights engine’ of an organization,” he says.

“However, this advancement requires HR professionals to do more than just embrace the technology to unlock automation-powered efficiencies and data-driven decisions. It requires them to identify novel applications of AI, such as a virtual recruiter, or employ simulated AI-augmented work settings for recruitment that will increase the efficiency of the HR team even further. Doing this will take candidate and employee engagement to a whole new level,” Maskey adds.

While HR is reaping the benefits of AI for such automated tasks such as payroll and benefits administration (essential responsibilities of HR) there are even greater strategic opportunities to truly revolutionize core talent acquisition and talent management areas.

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Introducing a New Subscription Model

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Smarter Talent, Faster Hiring: AI’s Expanding Role in CWM

Artificial intelligence is becoming a permanent fixture as part of today’s enterprise operations and talent management approaches, serving as an essential technology for contingent workforce management (CWM) strategies that streamline candidate pairings with operational needs while increasing transparency of available skillsets and workforce contributions. Whether shoring up talent gaps or scaling needs, AI provides external workforce insights invaluable to HR and recruitment professionals and business leaders. The evolution of artificial intelligence will mean the emergence of more CWM opportunities.

Enterprises and HR executives who are not at least exploring the possibilities of AI’s impact on CWM will find themselves at a competitive disadvantage when sourcing talent and executing extended workforce strategies. Beeline stated that the “effects of AI in extended workforce management are just beginning and can be seen shaping how jobs are described, how candidates are evaluated, and how contracts are written. AI will soon be employed for more strategic outcomes like workforce planning, workforce optimization, and total workforce management.”

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Introducing a New Subscription Model

To continue providing valuable insights and resources on the future of work and extended workforce management, we’re transitioning our site to a paid subscription model. While some posts will remain free, subscribing will grant you exclusive access to in-depth analysis, market research, expert interviews, and actionable strategies that will help improve your business. Solution providers and practitioners are invited to join today and gain a competitive edge by tracking the industry’s important innovations, emerging trends, and best practices.

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Workforce Solutions Shift From Process to Strategy

Over the past three decades, the workforce solutions industry has undergone a remarkable transformation. It has evolved from a transactional staffing model into a sophisticated ecosystem that plays a critical role in business strategy. What was once a fragmented and largely manual process has become a technology-enabled, data-driven discipline that connects talent to business outcomes in increasingly intelligent ways.

Yet, despite all the innovation, one truth remains constant. This is still fundamentally a people business, centered on helping individuals find meaningful work and enabling organizations to access the skills they need to succeed. These sentiments were echoed during a Future of Work Exchange Podcast by Janette Marx, CEO of Airswift, who shared insights into the evolution of the workforce solution industry and the rise of total talent thinking.

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Introducing a New Subscription Model

To continue providing valuable insights and resources on the future of work and extended workforce management, we’re transitioning our site to a paid subscription model. While some posts will remain free, subscribing will grant you exclusive access to in-depth analysis, market research, expert interviews, and actionable strategies that will help improve your business. Solution providers and practitioners are invited to join today and gain a competitive edge by tracking the industry’s important innovations, emerging trends, and best practices.

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