Talent Acquisition Archives - The Future of Work Exchange

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

Contingent Workforce Talent Talent Acquisition by John Yuva on 08/27/2026

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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From Coverage to Coordination: Designing the Future Healthcare Workforce

Artificial Intelligence Talent Acquisition Technology and Innovation by John Yuva on 08/20/2026

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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Removing Friction: The New Priority for Healthcare Workforce Management

Artificial Intelligence Talent Acquisition Technology and Innovation by John Yuva on 08/13/2026

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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The New Rules of Talent Strategy

Uncategorized by Christopher J. Dwyer on 07/06/2026

Last week, Ardent Partners and the Future of Work Exchange hosted an exclusive webcast, The New Rules of Talent Strategy, focused on breaking down the new “rules” shaping how organizations attract, develop, and deploy talent in 2026. Building on the insights and energy from the 2026 Future of Work Exchange Live executive roundtable event in Boston, this webinar translates the June 10 event’s in-room breakthroughs into a clear, actionable blueprint for what leaders must do next. The webcast featured thought leaders from Opptly, Allegis Global Solutions, AMS, Atrium, and TalentProcure, who contributed to the expanding definition of the Future of Work in 2026…and beyond.

Building an AI-Driven Talent Intelligence Engine

Artificial Intelligence Talent Acquisition Technology and Innovation by John Yuva on 06/25/2026

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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Dennis Rodman And The 1998 Chicago Bulls’ Talent MasterClass

Talent Acquisition by Christopher J. Dwyer on 04/27/2026

I’m very bullish on what are considered the greatest sports documentaries of all time. Within the realm of basketball, hands down, it’s The Last Dance. Personal bias context: the series premiered during those scary early pandemic days, so it has a special place in my heart. Personal bias context, part two: I was an unabashed 1992 Dream Team fanatic.

Upon rewatching the documentary over the past few weeks, I learned this: The Last Dance is just as much a 10-part talent acquisition masterclass as it is an in-depth overview of the Michael Jordan/Chicago Bulls destiny.

Yeah, it has it all: the Bulls drafting MJ to combat the back-to-back Celtics and Pistons dynasties to the first three-peat to MJ’s retirement to the second three-peat (with the Dream Team stuff thrown in, too!). But, what’s truly incredible (speaking from the perspective of someone with 20 years in our industry) is the sheer masterpiece of roster-building by Jerry Krause, Phil Jackson, and the Bulls brass…

…especially the pickup of Dennis Rodman, who may very well be the greatest case study in talent strategy ever captured on film.

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The Leadership Test of 2026: Turning AI Disruption into Human Progress

Artificial Intelligence Talent Technology and Innovation by John Yuva on 04/23/2026

As artificial intelligence (AI) reshapes industries and organizations rethink how work is performed, leadership has emerged as one of the most critical factors in successful transformation. Technology may drive disruption, but people determine whether change becomes progress or paralysis. This week, we continue our discussion with Christoph Niebel, chief client officer at AMS, a recent guest on the Future of Work Exchange Podcast, exploring how leaders must guide teams through uncertainty, workforce redesign, and the emotional impact of rapid change. He described the concept of workforce “freezing.” In today’s labor market, many employees are experiencing what has been termed job hugging, where individuals remain in roles they no longer find fulfilling because external opportunities feel too risky. Combined with headlines about layoffs, AI replacing jobs, and economic instability, this creates an environment where employees may comply with change initiatives without truly committing to them.

A Humanized Future of Work

For leaders, the instinct in such environments is often to push harder. There is pressure from boards and executives to move faster, accelerate transformation, and deliver productivity gains. Yet, as Niebel explained, pushing harder does not necessarily create momentum.

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The Future of Talent Strategy in an AI-Driven Workforce

Artificial Intelligence Talent Technology and Innovation by John Yuva on 04/16/2026

The Future of Work is no longer centered solely on filling open positions faster or reducing hiring costs. As organizations face accelerating disruption from AI, workforce transformation, and economic uncertainty, talent strategy is a direct lever for business performance. This shift was a central theme during a discussion with Christoph Niebel, chief client officer at AMS, a recent guest on the Future of Work Exchange Podcast. He emphasized that modern talent leadership must now bridge the gap between people strategy and shareholder value.

For years, talent acquisition was often measured by traditional metrics, such as time to fill, cost per hire, and compliance with service level agreements (SLAs). While these remain relevant, they no longer capture the full strategic value expected by executive leadership. Today, CEOs and CFOs increasingly expect talent leaders to demonstrate how workforce decisions improve productivity, reduce risk, and support long-term growth. This means the conversation has evolved from hiring for open jobs to designing work around business outcomes. Niebel said one of the most significant structural shifts in the market is the move from job-based thinking to outcome-based workforce design.

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AI Hype to Real Outcomes in Workforce Technology

Artificial Intelligence Recruitment Solution Providers Talent Talent Acquisition Technology and Innovation by John Yuva on 04/02/2026

The hype around artificial intelligence in workforce technology is now shifting to practical applications. The conversation around AI is now about “how” rather than “when.” Those deeper questions focus on the measurable value AI can deliver to the enterprise. Derek Sanders, chief revenue officer for Opptly, provided further insights into the evolution of AI in talent technology and the emergence of skills-based intelligence during a recent Future of Work Exchange Podcast.

In many companies, AI is becoming an operational foundation. We now expect AI to be used in process workflows, such as talent acquisition and talent management, and tied to specific business outcomes. Yet some companies continue to struggle to gain clarity on use cases, whether that’s improving hiring efficiency, reducing cycle times, or enhancing talent quality. Sanders explained that the focus of AI is now on solving real problems rather than showcasing features. It is a critical turning point, he said, particularly in talent and workforce management, where complexity has historically limited scalability.

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Skills, Systems, and Strategy: How AI Is Redefining the Future of Talent Acquisition

Artificial Intelligence Business Leadership Talent Talent Acquisition Technology and Innovation by John Yuva on 01/29/2026

In a wide-ranging conversation on the Future of Work Exchange podcast, Lori Hock, CEO of Opptly, brings a practitioner’s perspective to where talent acquisition is headed, exploring how direct sourcing is evolving, how AI is reshaping workforce strategies, and why human judgment will remain essential as technology accelerates, all while offering a forward-looking view of what 2026 holds for talent and workforce leaders based on her extensive experience across staffing, MSP, and RPO models.

The talent industry has spent years discussing transformation, yet true structural change has often lagged behind the conversation. Artificial intelligence (AI) is now forcing that change, not through incremental efficiency gains, but by challenging the underlying operating models that govern how organizations find, engage, and deploy talent. At the center of this shift is a growing recognition that skills, not job titles or worker classifications, must become the primary currency of work.

AI is accelerating this transition by making skills visible, measurable, and actionable at scale. Historically, skills-based hiring was constrained by incomplete data, inconsistent taxonomies, and manual processes that limited its practical application. Today, AI enables the creation of living skills frameworks that reflect real-time market demand and evolve continuously. This capability is not a feature. It is a foundational requirement for modern talent strategy.

A skills taxonomy is only valuable if it drives decisions. AI makes this possible by connecting skills data to sourcing, matching, and workforce planning in ways previously unattainable. However, organizations must move beyond the excitement of creating taxonomies and focus on the harder question of how those insights are operationalized. Skills-based hiring is not a standalone process. It is an operating model that reshapes how work is designed and how talent is deployed.

Total Talent and the Mindset of Ecosystems

This shift has profound implications for the concept of total talent. For years, total talent management has been discussed as an aspirational framework, often dismissed as too complex to execute. AI is changing that calculus. By acting as an intelligence layer that evaluates skills independent of worker classification, AI enables organizations to connect work to talent across full-time, contingent, and independent labor pools. Systems of record no longer define opportunity. Skills do.

This evolution aligns with broader trends toward project-based and skills-focused work. As AI reduces friction in matching talent to tasks, organizations gain the ability to assemble teams dynamically based on capability rather than headcount models. This flexibility is becoming essential in a labor market defined by rapid change and uneven demand. It also creates new expectations for talent leaders, who must now think in terms of ecosystems rather than pipelines.

At the same time, the expansion of AI raises legitimate concerns around bias, compliance, and trust. These issues cannot be treated as afterthoughts. Bias auditing, transparency, and governance are becoming table stakes for any AI-enabled talent solution. Organizations that fail to address these requirements will face increasing scrutiny from regulators, employees, and candidates alike. Responsible AI is not just a legal necessity. It is a strategic differentiator.

AI Amplifies Broken Workflows

One of the most overlooked prerequisites for effective AI adoption is process maturity. AI does not fix broken workflows. It amplifies them. Before organizations embed AI across recruiting and talent processes, they must ensure that their underlying business processes are current, intentional, and aligned with how work actually gets done. This requires a pause that many organizations are reluctant to take, but it is essential for long-term success.

Once that foundation is in place, AI can automate large portions of the front end of recruiting. Screening, matching, scheduling, and initial engagement are all becoming increasingly autonomous. This automation does not eliminate the human role. It elevates it. Talent professionals are freed to focus on candidate experience, relationship management, and strategic workforce planning. The result is a more human talent function, not a less human one.

Leadership plays a critical role in navigating this transition. Skills-based hiring and AI-driven talent models require tone at the top. Leaders must articulate not only what is changing, but why it is changing and how employees fit into the future state. Without that clarity, uncertainty fills the gap. People create their own narratives, and those narratives are rarely optimistic. Transparency and intentional communication are essential to maintaining trust.

Looking toward 2026, the convergence of AI, skills intelligence, and total talent models represents one of the most significant shifts the industry has ever experienced. This is not a matter of adopting new tools. It is about redefining how organizations think about work, talent, and value creation. Companies that embrace this shift thoughtfully will move faster, adapt better, and attract talent more effectively. Those that hesitate risk falling behind in ways that will be difficult to recover from. The future of talent is not defined solely by technology. It is powered by AI, but shaped by people who are willing to lead through change with clarity, courage, and conviction.

Access the full podcast here: https://futureofworkexchange.com/2025/12/23/the-future-of-work-exchange-podcast-episode-813-a-conversation-with-lori-hock-ceo-of-opptly/.