Is AI the New Offshoring in Staffing?

By Matt Nedrow
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The offshoring era is giving way to AI, which handles key staffing tasks faster, cleaner, and with fewer hurdles. The real edge lies in how leaders put it to work.

For decades, many industries like staffing—particularly firms in high-volume sectors like health care and light industrial—have relied on outsourcing and offshoring to manage costs and scale operations quickly. Overseas recruiting teams, credentialing support, and sourcing services became key tools for staying competitive. But that model is rapidly evolving. Today, automation and artificial intelligence (AI) are beginning to replace some of the tasks that were once handled by offshore teams. Often, this is accomplished with greater speed and consistency and fewer logistical hurdles.

What once required offshore labor can now, in many cases, be handled by generative AI, robotic process automation (RPA), and intelligent matching tools. The question isn’t whether AI is coming for staffing operations; it’s already here. The real question is how staffing leaders can adopt it strategically rather than reactively.

AI Versus Offshoring

Offshoring offered two major advantages in the staffing industry: lower labor costs and around-the-clock operations. AI delivers both without the challenges of managing overseas teams, navigating language barriers, staying compliant with foreign regulations, or conducting business across multiple time zones.

In areas such as credentialing and compliance tracking, vendor management system (VMS) order intake and parsing, résumé screening and matching, and candidate engagement (via AI chatbots or SMS assistants), AI can handle work once managed by human teams—both onshore and offshore. In health care staffing, where urgency and credential accuracy are non-negotiable, this shift isn’t just about efficiency—it’s about gaining a competitive edge.

Those who now master AI strategically will define the next generation of workforce solutions. The winners will be those who combine automation with authenticity, speed with service, and tech with trust.

Lessons From the Past: The Offshoring Parallel

The outsourcing boom came with second- and third-order effects: overextended firms, quality control gaps, and missed cultural cues. Strategic planning was often rushed (if it was conducted at all), and operational integration was hampered. The same risks apply today with AI adoption. A traditional PESTEL analysis—evaluating political, economic, sociocultural, technological, environmental, and legal factors—can help guide implementation, just as it did (or should have done) during the offshoring era.

  • Political/Legal: New federal and state AI use regulations may affect candidate privacy and algorithmic fairness.
  • Economic: Labor shortages are prompting clients to demand faster, tech-enabled fulfillment models.
  • Sociocultural: Clinicians and candidates want human-like interactions—not sterile automation.
  • Technological: Integration with applicant tracking system (ATS), customer relationship management (CRM), and VMS platforms is still a major challenge for many staffing firms.

Caution: Efficiency ≠ Strategy

Just as not every function should have been offshored in the past, not every staffing task should be handed to AI. Human recruiters still establish trust, display genuine empathy, and actively participate in goal achievement, ultimately leading to retention. This is especially true in health care, where clinician burnout, compliance issues, and patient safety are ongoing concerns.

Instead of asking “What can we automate?” a better question is “What can we augment with AI so our people can work smarter?”

Where Smart Staffing Firms Are Headed

The most innovative health care staffing firms aren’t automating away from their people; they’re equipping them with the tools to increase their people’s impact:

  • AI credentialing checks reduce manual audits and error rates.
  • Machine learning improves match rates between clinicians and facilities.
  • AI-powered chatbots handle routine follow-ups so recruiters can focus on meaningful interactions.

This isn’t just about speed; it’s about scalability, quality, and freeing up internal teams to deliver higher-value service.

The Future Is Hybrid

Rather than a total reshoring or a complete shift to AI, most successful companies will likely adopt a hybrid strategy by combining domestic investment, selective outsourcing, and AI-enabled automation.

AI is not a threat to staffing—it’s an evolution of it. Just as firms once mastered offshoring, those who now master AI strategically will define the next generation of workforce solutions. The winners will be those who combine automation with authenticity, speed with service, and tech with trust.


 

Matt Nedrow is vice president of operations at Plexsum Staffing Solutions Inc. Send feedback on this article to .

<span class="publication-name"><em><em>Staffing Success Magazine</em></em></span> <span class="publication-separator">-</span> <span class="publication-issue">November-December 2025</span>
Originally Published In

Staffing Success Magazine - November-December 2025

Economic volatility, AI breakthroughs, and evolving workforce expectations are reshaping the staffing landscape. Keep a pulse on five emerging trends that will influence how firms operate, compete, and deliver value in the year ahead.