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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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Yes, Talent Orchestration Is Real

No, this isn’t another discussion of why total talent management is more reality than theory (although, stay tuned to the Future of Work Exchange for that!). This is, however, a discussion of another much-hyped phrase that has been rising amongst the many buzzwords in the greater HR and workforce industry.

Talent orchestration.

The very realm of “orchestration” isn’t an entirely new concept, nor did it emerge out of thin air, nor is it simply the latest slogan tossed into the HR lexicon. Its roots stretch back decades, to the earliest attempts by organizations to bring order, intelligence, and coordination to how work gets done. Yeah, how work gets done. Meaning, a key piece of the Future of Work foundation.

Before platforms, before AI, before the extended workforce became a strategic asset, enterprises were already wrestling with a core question:

How do we align the right work with the right people at the right time — consistently, predictably, and intelligently?

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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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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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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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“AI-Native” As A Future of Work Foundation?

No matter where a business leader stands regarding the artificial intelligence revolution, one thing remains abundantly clear: the concept of AI nativity is one every executive should prepare for…or already preparing for.

During our annual Future of Work Exchange Live executive roundtable event in June, the biggest shifts within my definition of “the Future of Work” revolved around a specific “layer” that sat between 2025’s core Future of Work elements (like leadership agility, the dynamic asset of evolving talent, etc.) and today’s fundamental attributes (total talent, skills centricity, etc.).

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Introducing a New Subscription Model

To continue providing valuable insights and resources on the Future of Work, extended workforce management, and the many other topics FOWX covers, 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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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.

The rest of this article is available by subscription only.

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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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.

The rest of this article is available by subscription only.

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.

Click here to learn more.

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The AI-Powered Future of Workforce Learning

The Future of Work encompasses many characteristics. However, attributes like communication, collaboration, and community contribute greatly to enterprise success. There is an elicited sense of interconnectedness between leaders and their workforce and among employees themselves. At the heart of those dynamics is soft skills that help drive workforce interactions and business outcomes. In today’s world where artificial intelligence permeates nearly every area of the workplace, AI is coming into its own as a tool to enhance soft skill development.

Think soft skills are only a recent workforce concentration? Not quite. In 1918, the Carnegie Foundation published Charles Riborg Mann’s A Study of Engineering Education, which cited that 85% of a person’s job success is a product of soft skills and that only 15% of success is based on technical knowledge. Even more than 100 years ago, the criticality of workplace soft skills was being emphasized. However, the pandemic helped bring soft skills into sharper focus as other Future of Work elements (e.g., flexibility, remote work, empathetic leadership) became mainstream concepts and areas of importance.

Now with artificial intelligence leading the way in technology utilization, enterprises have an opportunity to leverage AI for greater workforce enablement — particularly around soft skills.

The rest of this article is available by subscription only.

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.

Click here to learn more.

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

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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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.

Click here to learn more.

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The Twenty (or So) Most Important Moments in Contingent Workforce History (Part I)

Last month, I officially was able to say “for 20 years” when tweaking my bio for an Ardent Partners project. While I often say things like “don’t let the gray hair fool you…I’m a millennial” and “oh my gosh do I feel old,” this 20-year mark had me thinking:

What are some of the most important moments in the history of the contingent workforce industry, especially over the past two decades? What are some watershed happenings that forever changed this arena, from acquisitions to new technology and innovation to rebrands to beyond-industry/macro-level shifts?

So, some ground rules:

  • Limiting this list to the past 20 years, as stated above.
  • We will try our best to not include too many of those macro, world-shifting events that essentially affected every business industry, not just the contingent workforce (you’ll see why).
  • It’s incredibly tough to not repeat provider/solution names, especially those that have experienced major transformations and parlayed those transformations into industry-shifting momentum, but, we’ll also try our best to consolidate multiple items from a single provider into a single mention (no promises, though).
  • This is not a ranking; while some of us may perceive some of these items as more important as others, the truth is that one provider’s momentous experience may have not translated into anything major for particular segments of the industry.
  • This was designed to be both productive and fun, so please head into this list with an open mind.

Part I of the 20 (or so) most important moments in contingent workforce history over the past 20 years, below.

  • The Affordable Care Act as more than just a healthcare law. The development and passing of the ACA were truly a landmark workforce architecture event. It forced enterprises, MSPs, VMS platforms, and staffing suppliers to modernize overnight. It accelerated technology adoption, reshaped pricing, and laid the foundation for today’s extended workforce governance models. It was the moment when compliance stopped being a back‑office obligation and became a core pillar of workforce strategy, forcing organizations to rethink how they classified, tracked, and supported every category of talent.
  • The reinvention of PROUnlimited, its forward-looking integrated workforce management suite, eventual rebrand, and expansion into the next era of the extended workforce. PRO pioneered the integrated VMS/MSP approach way back in the early 2000s and became a formidable entrant into the mid-2000s contingent workforce solutions boom. Operating under a model that fought against staffing-owned providers, PRO had a long streak of success for a number of years. It was its pandemic-era reinvention, though, into a “platform approach” heralded by CEO Kevin Akeroyd that essentially sparked a series of industry-shifting moves from the legendary provider. The company doubled down on innovation, went on an acquisition spree (next-gen analytics through the GRI acquisition, direct sourcing automation with WillHire, additional market capital and progressive MSP capabilities through Workforce Logiq, etc.), and eventually rebranded to “Magnit” to reflect the magnetic pull of today’s progressive workforce solutions on the changing dynamics of candidates and talent.
  • Opptly’s emergence as one of the most disruptive and dynamic AI‑oriented platforms in the market represents a true inflection point for the contingent workforce industry. What sets Opptly apart isn’t just its ability to automate or accelerate traditional workflows; it’s how the platform dominates multiple layers of the workforce technology stack simultaneously, from sourcing and matching to intelligence, analytics, and strategic workforce design. The shift from “reporting” to “intelligence,” mainly driven by AI, skills taxonomies, and predictive analytics, fundamentally changed how enterprises make workforce decisions. What makes a platform particularly “innovative” in 2026 isn’t just how powerful its functionality really is, but rather its impact on enterprise agility and flexibility. Opptly redefined what a modern workforce platform should be. Its emergence marks a moment when AI stopped being an enhancement and became the engine powering how enterprises understand, engage, and deploy talent across the extended workforce.
  • AlexanderMann rebrands to AMS and signals a new era of contingent workforce solutions. AlexanderMann was a pioneer in RPO and recruitment offerings, as well as global talent acquisition outsourcing. Pre-pandemic, the organization enabled businesses with a wide range of solutions that effectively converged recruitment, managed services, and total talent management. The rebrand to “AMS” wasn’t just cosmetic, but rather a dynamic reflection of the move towards globalized, innovative, and intelligence-led solutions that balanced both full-time and contingent talent optimization. AMS proved it was one of the first global providers capable of truly integrating RPO, MSP, and total talent into a unified, future‑focused model that reflected where the world of work was heading. Five years later, that evolution proved prescient as more solutions within the industry reorchestrate their offerings around an agile mix of direct sourcing, recruitment optimization, managed services, AI-driven insights and analytics, and, of course, total talent management.
  • Beeline, IQNavigator, extended workforce management, and the new era of private equity-backed CW platforms. It was an early December day back in 2016 when I received a call from a close friend on IQNavigator’s leadership team. “We’re going to tell you something really, really, really BIG,” he said. “We?” I replied. And then there was a third voice on the line…from Beeline. I still vividly recall all of the thoughts, ideas, and emotions that spun around in the back of my mind: this was like Pepsi and CocaCola merging. The two platforms, operating under the Beeline brand, brought two incredibly powerful sets of tools and functionality together, which eventually paved the way for two other big, historical moments: 1) the industry’s first major instance of “extended workforce management,” when Beeline doubled-down on its Best-in-Class automation to articulate and operationalize a broader, more holistic model that converged gig talent, governance and compliance for all external workers, SOW and services procurement, independent contractors, shift-based and high-volume talent, and so much more, and, 2) Stone Point’s investment in Beeline marking the beginning of a new era of private‑equity‑backed contingent workforce platforms, giving the company the scale, stability, and capital to accelerate its evolution.
  • The Gig Economy explosion and the catalyst for omni-channel talent acquisition. Uber, Lyft, and others ushered in the first great era of the Gig Economy and along with it a new sense of “talent” that traversed what business leaders considered “contingent labor” and redefined the relationship between work, autonomy, and access. Essentially, the Gig Economy’s biggest impacts followed two core principles: 1) it was the first time that the platform was the employer, the marketplace, the scheduler, the payment engine, and the compliance shield; this, effectively, accelerated the amazing growth and disruption that platforms like Upwork, Toptal, Fiverr, Catalant, and others blazed across the business spectrum through its on-demand access to skills and expertise…and, 2) it catalyzed the concept of “omni-channel talent acquisition,” a phrase oft-used by our Ardent Partners and Future of Work Exchange teams to describe the new reality of talent engagement: skills, expertise, and capability flowing through multiple channels, platforms, and ecosystems at once.
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