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Technology and Innovation

How Can Talent Tech Providers Manage the Political Fight Over AI Regulation?

Technology is…technology. It’s innovative, it’s powerful, and, for decades, has revolutionized the ways both people and professionals navigate everyday life. The rapid rise of artificial intelligence over the past few years is a technology revolution unlike anything anyone alive today has ever witnessed or experienced.

Yet, the realm of AI today is no longer just a story about technology and automation…it’s become a political one, as well.

There has long been a crucial conversation around “ethical AI” that is mostly now referred to as “responsible AI.” Governments across the world are in a position now where they feel they need to define what responsible AI actually means…and how to execute and govern such responsibility. In the United States, competing regulatory visions have emerged at nearly all levels of government, with the European Union about to push ahead with a risk-based framework.

With talent technology platforms and solutions now centered around AI-native automation and digital infrastructure, and within an already-governance-heavy industry (people! Staffing!), how do these providers manage (or, balance?) the many larger conversations happening around the ethical, regulatory, and both positive and negative potential implications of artificial intelligence?

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Workforce Orchestration Unlocked: Elevating Services to Drive Enterprise Value

The extended workforce has become too important for organizations to manage through disconnected programs and isolated service providers. With contingent talent representing roughly 48% to 49% of the workforce in many industries, organizations increasingly need a more strategic approach to managing how work gets done. The challenge is not simply finding talent, as was pointed out during a recent Future of Work Exchange (FOWX) Podcast, featuring FOWX Managing Director Christopher Dwyer and Atrium’s VP of Enterprise Solutions, Kelly Couto. It’s about understanding where talent is needed, which workforce models make sense, and how different services can work together to create measurable business value.

That is where workforce orchestration is emerging as an important concept.

The modern workforce ecosystem includes a growing range of services, including managed service programs, employer of record and agent of record models, recruitment process outsourcing, embedded recruiting, early talent programs, direct sourcing, and SOW engagements. Rather than viewing these offerings as competing alternatives, Couto said organizations can increasingly treat them as components of a broader workforce strategy.

The starting point, however, should not be the technology or the service. It should be the business objective. As Couto explained, organizations need to begin by defining what success looks like and then identifying where they can create the greatest impact. That could mean examining specific labor categories, expanding into multiple workforce areas, adding embedded recruitment resources, launching an RPO program, strengthening an early talent strategy, or implementing an MSP that brings multiple elements together.

This strategy-first approach matters because every organization arrives with a different workforce environment. Some may already have sophisticated internal technology and established workflows. Others may have adopted new AI tools without fully understanding how those technologies fit into their broader ecosystem.

The role of services is therefore changing, noted Couto. Services can increasingly act as the connective layer between people, process, data, and technology. Rather than simply executing transactions or supplying talent, service providers can help organizations understand their current environment, identify gaps, determine where technology can create value, and build a phased strategy for improvement. That creates a more flexible model for workforce transformation. Couto emphasized that an organization does not necessarily need to overhaul every component of its workforce strategy at once. It can identify a high-impact area, create measurable results, and then expand into adjacent areas as the operating model matures.

This is particularly important as workforce strategies become more complex. Procurement, HR, talent acquisition, and business leaders increasingly need to coordinate around the same workforce objectives. They must understand supplier performance, talent availability, workforce costs, compliance, technology capabilities, and the employee and worker experience. Technology can provide important capabilities, said Couto, but technology alone cannot determine the right operating model.

That is why workforce orchestration is becoming increasingly relevant. The objective is not simply to deploy more tools or add more services. It is to connect the right capabilities around clearly defined business outcomes.

Couto shared that the organizations that make the greatest progress may not be those with the most technology or the largest number of workforce programs. They may be the organizations that understand how their workforce ecosystem fits together and can continuously adjust it as business needs change. The future of workforce management will require more than talent acquisition, staffing, or technology in isolation. It will require orchestration across all three.

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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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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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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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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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Direct Sourcing and the Extended Workforce Become Strategic Business Advantages

The extended workforce has evolved far beyond its traditional role as a flexible labor pool used to address temporary staffing shortages. Today, contingent workers, freelancers, consultants, project teams, and specialized service providers represent a strategic component of enterprise talent strategy. As organizations confront ongoing skills shortages, economic uncertainty, and accelerating technological change, external talent has become an essential source of business agility.

At the center of this transformation is direct sourcing.

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Talent Orchestration and Next Generation Talent Acquisition Redefine Workforce Planning

The metrics that defined talent acquisition for many years, such as speed to hire, cost per hire, and the ability to fill open requisitions, remain important but lack the insight for today’s workforce complexity. Organizations now have access to full-time employees, contingent workers, independent contractors, project specialists, alumni, retirees, interns, and AI-powered digital workers. The challenge is no longer simply filling jobs. It is determining the best way to complete work.

During a recent Future of Work Exchange (FOWX) webcast, “The New Rules of Talent Strategy,” hosted by Christopher Dwyer, Managing Director of FOWX, an expert panel of talent and workforce leaders explored how talent orchestration and next-generation talent acquisition are redefining workforce planning. Panelists included Lori Hock, CEO of Opptly; Kelly Couto, VP of Enterprise Solutions at Atrium; Kevin Leete, MSP Solutions Executive at Allegis Global Solutions; Robin Sanders, Chief Revenue Officer at TalentProcure; Archer Smith, SVP and Head of Strategic Partnerships at AMS; and Vanessa Miller, Global Director of Product Strategy at Allegis Global Solutions.

The group discussed how the shift in talent acquisition is driving a fundamental evolution in talent strategy. Modern organizations are moving beyond transactional recruiting toward talent orchestration, a more comprehensive approach that aligns workforce planning, technology, business objectives, and skills intelligence to identify the right resources for every business need.

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AI Becomes the Foundation of Modern Talent Strategy

For years, artificial intelligence has been discussed as the next transformative technology for talent acquisition and workforce management. Today, that conversation has shifted. AI is no longer viewed as an experimental capability or a futuristic concept. Organizations are increasingly treating it as a strategic business enabler that enhances decision-making, improves operational efficiency, and creates better experiences for candidates, hiring managers, and recruiters alike.

The challenge facing organizations is no longer whether to adopt AI. It is how to deploy it responsibly while ensuring measurable business outcomes.

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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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