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Talent Acquisition

Dennis Rodman And The 1998 Chicago Bulls’ Talent MasterClass

Talent Acquisition by Christopher J. Dwyer on

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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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 Hype to Real Outcomes in Workforce Technology

Artificial IntelligenceRecruitmentSolution ProvidersTalentTalent AcquisitionTechnology and Innovation by John Yuva on

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.

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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AI, Direct Sourcing, and the Human Future of Workforce Solutions

Contingent WorkforcePodcastTalentTalent Acquisition by John Yuva on

Conversations about the future of workforce solutions increasingly circle around two themes: artificial intelligence and direct sourcing. Yet beneath the buzzwords lies a more nuanced reality. The evolution of MSP and contingent workforce strategies is not about replacing people with technology, but about using new tools to enhance how organizations find and manage talent. We continue with insights from a recent discussion between FOWX’s Christopher Dwyer and Denise Stalker, SVP, Managed Services for TalentProcure.

Despite the Tech, Humanization Is Still at the Heart of Workforce Solutions

AI is now present in many parts of the talent lifecycle. Skills matching, resume screening, chat based candidate engagement, and onboarding automation are becoming more common. Still, adoption is uneven. Only a small share of enterprises consider themselves true AI leaders. Many are piloting tools, running limited experiments, or trying to understand where AI fits in their workflows.

Generational dynamics influence this adoption. Younger workers who grew up with digital tools are often comfortable interacting with automated systems. Receiving a text from a bot about a job opportunity can feel normal to them. More experienced workers may be skeptical or prefer human interaction. This creates a transition period where organizations must design experiences that serve multiple comfort levels.

AI as an enabler. From an MSP perspective, AI is best viewed as an enabler. It can streamline onboarding, accelerate screening, and improve data visibility. It can reduce administrative burden and free program teams to focus on higher-value activities such as stakeholder engagement and supplier strategy. What it does not do is eliminate the need for human judgment. Workforce management still involves nuance, context, and relationship management that algorithms alone cannot handle.

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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The Mid-Market Moment and the Evolution of CWM

Contingent WorkforcePodcastTalentTalent Acquisition by John Yuva on

The contingent workforce landscape is entering a new phase of maturity, and one of the most important developments is happening in a segment that once received far less attention. Mid-market organizations are rapidly becoming a focal point for managed service providers (MSPs) and workforce solutions leaders. This was a recent topic of discussion between FOWX’s Christopher Dwyer and Denise Stalker, SVP, Managed Services for TalentProcure.

For years, the spotlight stayed on large enterprise programs with massive spend and global scale. Today, mid-sized businesses are stepping forward with similar needs for structure, visibility, and strategic workforce management. This shift reflects how the world of work has grown more complex. Even organizations with 25 to 50 million dollars in contingent workforce spend face regulatory pressures, compliance demands, and cost controls that rival those of much larger enterprises. They require reporting, governance, and risk mitigation. They also want savings and efficiency. The difference is that many mid-market firms do not have deep internal teams dedicated to contingent labor. Often, one HR or procurement leader is juggling multiple responsibilities. That reality creates both a challenge and an opportunity.

MSPs that focus on the mid-market recognize that these programs require a high-touch model. Smaller clients do not want smaller service levels. They expect the same care, responsiveness, and expertise that a global enterprise would receive. In many cases, they need more guidance because they lack internal subject matter experts. Regulatory updates, classification rules, and process design are not simple areas to master without support. A strong MSP can fill those gaps and act as an advisor rather than just a program administrator.

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

Artificial IntelligenceBusiness LeadershipTalentTalent AcquisitionTechnology and Innovation by John Yuva on

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/.

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Progressive Leadership Reshaping Talent Through AI

Artificial IntelligenceBusiness LeadershipTalentTalent AcquisitionTechnology and Innovation by John Yuva on

Lori Hock, CEO of Opptly, joined the Future of Work Exchange podcast to share her perspective on the evolving state of talent acquisition, the future of direct sourcing, and why the next era of work depends on a powerful partnership between artificial intelligence and human judgment, drawing on her deep experience across MSP, staffing, and RPO to outline what talent and workforce leaders should expect in 2026.

A Nonlinear Career in the Talent Ecosystem

Careers in the talent ecosystem rarely follow a straight line, and that reality is one of the defining strengths of the industry itself. Many of today’s most influential leaders did not plan to build decades-long careers in staffing, recruitment, or workforce solutions. Instead, they arrived unexpectedly, discovered the breadth and impact of the space, and stayed because of the opportunity to influence nearly every industry through talent. This nonlinear path has produced a generation of leaders who understand talent not as a function, but as the foundation of enterprise value.

Few executives embody this journey more clearly than Lori Hock. With experience spanning staffing, MSP, RPO, shared services, and now AI-driven talent technology, her career reflects a consistent willingness to build, to challenge convention, and to embrace discomfort in pursuit of progress. Rather than making safe lateral moves, Hock has gravitated toward transformation. That mindset has become increasingly rare among senior leaders, many of whom focus on optimization rather than reinvention.

What distinguishes progressive leadership today is not tenure or experience, but the willingness to confront what is next. Artificial intelligence has become the most disruptive force the talent industry has faced, and it has introduced both opportunity and anxiety in equal measure. Hock’s transition into AI was not accidental. It was an extension of a career defined by building new models before they were widely understood. Her view is that AI is not a passing phase or a technology trend to monitor from a distance. It is a foundational capability that leaders must engage with directly, even before they feel fully prepared.

AI and Organizational Intent

One of the most important insights emerging from this perspective is the need to reframe how organizations think about AI adoption. Many companies remain frozen by the fear of choosing the wrong tool or moving too quickly. This hesitation creates a widening gap between leaders and laggards that will soon become impossible to close. The most successful organizations are not those that wait for perfection, but those that prioritize progress. They begin with small, specific use cases, learn through experience, and build confidence over time.

This approach also challenges the prevailing narrative around generative AI. While large language models offer powerful capabilities, they are not the answer to every problem. Purpose-built AI that is designed to solve specific talent challenges plays an equally important role. Understanding which type of AI to apply, and when, requires education, clarity, and a deep understanding of the business problem at hand. AI strategy, in this sense, becomes less about technology selection and more about organizational intent.

Direct Sourcing as a Leadership Initiative

The evolution of direct sourcing offers a parallel lesson. Originally positioned as a cost-saving channel for high-volume roles, direct sourcing has matured into a strategic lever for workforce planning. When aligned with the right talent communities and supported by advisory expertise, it enables organizations to access skills with greater precision and flexibility. However, success depends on clarity of purpose. Without a clear understanding of the problem being solved, even the most advanced technology will fall short.

This is where leadership matters most. Direct sourcing, like AI, cannot be treated as just another tool in the talent acquisition stack. It requires executive-level ownership, outcome-based measurement, and continuous iteration. Organizations that approach it transactionally miss its strategic potential. Those that approach it as a leadership initiative unlock new ways to align talent supply with business demand.

AI Reshaping Future of Talent Leadership

The broader implication is that talent strategy itself is undergoing a shift. Skills-based hiring is no longer a conceptual ideal. It is becoming an operational necessity. AI enables organizations to build dynamic, market-relevant skills taxonomies that reflect real demand rather than static job descriptions. These taxonomies form the foundation for everything that follows, from workforce planning to internal mobility to external hiring.

Yet technology alone does not create transformation. The human role in talent strategy is becoming more important, not less. As AI automates repeatable processes at the front end of recruiting, people are freed to focus on relationships, experience, and strategic alignment. This elevation of the human role is one of the most underappreciated benefits of AI adoption. It allows talent leaders to move closer to the business, rather than being consumed by transactional work.

Looking ahead, the leaders who succeed will be those who embrace change openly and communicate it transparently. Silence breeds uncertainty, and uncertainty breeds resistance. Employees want to work for organizations that are modern, progressive, and honest about where they are going. AI is not just reshaping how work gets done. It is reshaping what leadership looks like in the future of talent.

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/.

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AI, Total Talent, and the Road to 2026 — What the Next Generation of Workforce Programs Will Demand

Contingent WorkforceTalentTalent AcquisitionTechnology and Innovation by John Yuva on

During a recent FOWX podcast, Christopher Dwyer, senior vice president of research and managing director of the Future of Work Exchange for Ardent Partners, spoke to Orli Becker, executive vice president and managing director of contingent workforce solutions for AMS, Orli Becker, on the impact of direct sourcing, the power of skills-based hiring, how AI is transforming extended workforce management, and more

In part three of our three-part series, we highlight the major discussion points and a link to the full event.

As artificial intelligence reshapes nearly every corner of the enterprise, the contingent workforce industry finds itself both energized and challenged by its potential. AI, combined with emerging workforce models like total talent management, will fundamentally redefine how organizations plan, deploy, and manage labor in the years ahead. Yet, despite the excitement, the path forward remains complex.

AI adoption in workforce solutions is accelerating rapidly. Technologies leveraging generative, predictive, and agentic AI are already enhancing sourcing, screening, workforce analytics, and program automation. These tools promise to reduce administrative burden, surface insights faster, and improve decision-making. For service-heavy industries like workforce management, AI has the potential to amplify human expertise rather than replace it, particularly when deployed with a “human-in-the-loop” approach.

AI Fragmentation and Risk Shape AI Adoption

However, the industry remains highly fragmented. Vendor management systems, MSP platforms, direct sourcing tools, freelancer management systems, SOW solutions, and contractor compliance platforms often operate in isolation. There is currently no single AI orchestrator capable of unifying these systems into a seamless user experience. This fragmentation limits AI’s impact, creating friction rather than simplicity for program stakeholders.

At the same time, organizations are approaching AI with caution. Concerns around bias, ethics, data privacy, and regulatory compliance are prompting rigorous scrutiny of AI-enabled solutions. While enterprises want innovation, they also demand assurance that these technologies are safe, transparent, and aligned with evolving legislation. This tension between opportunity and risk will likely shape AI adoption curves well into 2026.

Total Talent Management and Hybrid MSP Models Align Talent Strategies

Beyond technology, the future of workforce management will be defined by broader structural shifts. One of the most significant is the growing movement toward total talent management. Long discussed but rarely executed at scale, total talent seeks to unify internal and external workforce strategies under a single framework. This approach enables shared talent pools, consolidated analytics, and holistic workforce planning that spans full-time, contingent, freelance, and project-based labor.

The benefits of total talent are substantial. Organizations gain visibility into skills across the entire workforce, enabling more effective deployment, upskilling, and mobility. Skills-based hiring becomes exponentially more powerful when applied across all worker types, allowing enterprises to focus on capabilities rather than headcount categories. Over time, this creates a more agile and resilient workforce capable of adapting to rapid market change.

Another notable trend is the growing shift toward in-house program management. Dissatisfaction with transactional MSP models is driving many organizations to bring contingent workforce oversight internally. Increasingly, former MSP professionals are joining client-side teams, enabling enterprises to replicate cost-saving tactics without outsourcing execution. However, this does not signal the end of service providers. Instead, hybrid models are emerging, where organizations retain strategic control while leveraging external expertise for design, stabilization, or specialized services.

This evolution reflects a broader mindset shift. Talent is no longer viewed solely as a cost center but as a strategic asset tied directly to revenue, innovation, and risk management. Workforce planning, once an afterthought for contingent labor, is becoming a core discipline. Organizations that succeed in this next phase will be those that align talent strategy with long-term business outcomes rather than short-term savings.

Looking toward 2026, the message is clear. Becker remarked that the future of workforce management will demand integrated thinking, talent-centric design, and thoughtful adoption of technology. AI will play a critical role, but only when paired with human expertise and holistic strategy. Direct sourcing, skills-based hiring, total talent management, and hybrid operating models will define the next generation of programs. For organizations willing to embrace this complexity, the reward will be a workforce built not just for efficiency, but for enduring competitive advantage.

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Direct Sourcing and Talent-Centric MSPs — Redefining How Organizations Access Skills

Contingent WorkforceTalentTalent Acquisition by John Yuva on

During a recent FOWX podcast, Christopher Dwyer, senior vice president of research and managing director of the Future of Work Exchange for Ardent Partners, spoke to Orli Becker, executive vice president and managing director of contingent workforce solutions for AMS, Orli Becker, on the impact of direct sourcing, the power of skills-based hiring, how AI is transforming extended workforce management, and more

In part two of our three-part series, we highlight the major discussion points and a link to the full event.

Direct sourcing has long been discussed as the future of contingent workforce strategy, yet only recently has it begun to gain meaningful traction in the U.S. market. This momentum reflects a broader shift in how organizations think about talent, ownership, and workforce engagement. Direct sourcing is no longer just an efficiency play; it is emerging as a foundational pillar of talent-centric workforce models.

For years, direct sourcing struggled to move beyond theory. While organizations recognized the potential of direct sourcing to reduce costs and improve talent quality, adoption remained slow. A key reason was ownership. Contingent workforce programs traditionally sat within procurement, where the primary focus was compliance and cost control. While these priorities are critical, they often leave little room for strategies centered on candidate experience, employer branding, or long-term talent communities.

That dynamic is changing. Increasingly, HR and talent acquisition leaders are becoming influencers (and in many cases owners) of contingent workforce programs. Recent data suggests that more than half of these programs are now human resources- or talent acquisition-led, a dramatic shift from historical norms. This evolution is helping organizations better understand the true value of direct sourcing, not merely as a cost lever, but as a means of accessing higher-quality, more engaged talent.

Staffing-Aligned vs. Vendor-Neutral Direct Sourcing

At its core, direct sourcing enables organizations to leverage their employer brand to build and nurture talent pools aligned to their specific needs. These pools can include former employees, silver-medalist candidates, interns, retirees, referrals, redeployed workers nearing assignment completion, and even candidates initially considered for full-time roles. When curated effectively, these communities create a self-reinforcing talent ecosystem that reduces reliance on third-party suppliers while improving fit and engagement.

However, direct sourcing is frequently misunderstood. Many organizations equate it with simple referral management or pre-identified worker tracking, underestimating the operational complexity involved. Successful direct sourcing requires both enabling technology and experienced recruiting services. Technology alone cannot curate talent pools, nurture relationships, or deploy multi-channel attraction strategies. Without skilled recruiters and sourcers who understand how to activate a brand in the market, programs often stall or underperform. This is where the distinction between staffing-aligned and vendor-neutral direct sourcing providers becomes critical. Staffing-affiliated providers face inherent conflicts of interest, as expanding client-branded talent pools can reduce placements from their own candidate queues. Vendor-neutral models, by contrast, are incentivized to prioritize talent outcomes regardless of source, making them better suited to deliver on the full promise of direct sourcing.

Equally important, direct sourcing reframes how organizations think about ROI. While cost savings are significant (often driven by reduced markups and improved retention) the broader value lies in workforce agility. Candidates sourced directly are typically more engaged, onboard faster, and demonstrate better alignment with organizational culture. Over time, these benefits compound, improving productivity and reducing program leakage. Direct sourcing also serves as a bridge between contingent and full-time hiring strategies. Rather than operating in silos, organizations can leverage shared talent pools to support multiple workforce needs. This convergence sets the stage for more advanced workforce models, including total talent management and skills-based hiring, where the focus shifts from job titles to capabilities.

Ultimately, direct sourcing represents a philosophical shift as much as an operational one. It requires organizations to place talent (not transactions) at the center of their workforce strategy. Those that approach it as merely another cost-cutting tactic will miss its transformative potential. But for organizations willing to invest in the right technology, services, and governance, direct sourcing offers a powerful path toward a more resilient, engaged, and future-ready workforce.

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The Future of Work 2026

Business LeadershipContingent WorkforceDirect SourcingTalent AcquisitionTechnology and Innovation by Christopher J. Dwyer on

It’s that weird time at the end of December. We’re all full of extra desserts and treats, no one truly knows what day it is, the kids are on school vacation, and the business emails are piling up. To bring you back into the Future of Work spirit, we’re excited to share an on-demand edition of our annual Future of Work outlook webcast. This year, we were joined by Opptly’s Lori Hock, Beeline’s Doug Leeby, AMS’ Orli Becker, and Airswift’s Janette Marx to chat all things 2025 and look ahead to 2026. Direct sourcing, AI, talent tech, extended workforce management, skills-based hiring, etc…so many topics, so many insights.

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The State of the Contingent Workforce Market — Why Old Models Are Breaking Down

Contingent WorkforceTalent Acquisition by John Yuva on

During a recent FOWX podcast, Christopher Dwyer, senior vice president of research and managing director of the Future of Work Exchange for Ardent Partners, spoke to Orli Becker, executive vice president and managing director of contingent workforce solutions for AMS, Orli Becker, on the impact of direct sourcing, the power of skills-based hiring, how AI is transforming extended workforce management, and more

In part one of our three-part series, we highlight the major discussion points and a link to the full event.

The contingent workforce industry has reached a pivotal inflection point. What was once viewed as a tactical labor solution has evolved into a core component of enterprise workforce strategy, driven by demographic shifts, changing worker preferences, and persistent skills scarcity. As discussed in a recent Future of Work Exchange podcast conversation between Arden Partners’ Christopher Dwyer and AMS EVP Orly Becker, today’s labor market realities are exposing deep cracks in traditional contingent workforce models—particularly long-standing MSP and vendor management approaches that have failed to evolve alongside the workforce itself.

A Labor Market Redefined by Flexibility and Scarcity

At the heart of this disruption is a fundamental change in how workers choose to engage with employers. Stability and long-term tenure, once the gold standard for career success, have given way to flexibility, autonomy, and work-life balance. Younger generations increasingly favor contingent, project-based, or independent work models, while experienced Baby Boomers are exiting the workforce altogether. Compounding this shift are declining global birth rates, which are shrinking the overall labor pool. The result is a persistent imbalance between talent supply and demand, especially for specialized and in-demand 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.

read more
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