The Digital Workforce in Recruitment: How AI Agents Are Reshaping Talent Acquisition

Are digital workers coming for recruiting jobs, or are they simply here to clear our desks of administrative drag?

On the latest episode of the RecTech Podcast, Chris Russell sat down with John Nurthen, Executive Director of Global Research at Staffing Industry Analysts (SIA). Drawing from SIA’s comprehensive research report, The Digital Workforce in Recruitment 2026, Nurthen unpacked the explosive growth of recruiting automation, mapping out more than 180 digital vendor solutions, the reality of agentic workflows, and what leaders must do to avoid organizational chaos.

Here are the key takeaways from the conversation on how AI agents are transitioning from fringe experiments directly into the core hiring lifecycle.

1. Recruiting Is Being Decomposed, Not Replaced

Despite breathless headlines declaring the death of the recruiter, Nurthen is clear: AI agents will not replace human talent professionals end-to-end. Instead, recruitment is being decomposed into discrete, automatable tasks.

While AI agents excel at repetitive top-of-funnel mechanics—candidate sourcing, profile enrichment, screening, interview scheduling, and status updates—recruiting remains an fundamentally human discipline.

"If recruitment was about putting square pegs into square holes, it would be easy. But it's not. It's always a compromise. It's always a negotiation."

— John Nurthen, SIA

At the critical decision stage, persuasion, nuanced negotiation, and human judgment are what bring both candidates and hiring managers to yes.

2. Untangling the Terms: RPA vs. AI Agents vs. Agentic AI

The market went from novel innovation to saturated commodity in months, bringing a confusing wave of terminology with it. Nurthen broke down three distinct layers of automation operating under the "digital worker" umbrella:

• Robotic Process Automation (RPA): The workhorses. RPA bots from established vendors like UiPath and Automation Anywhere continue to power the deterministic, backend plumbing of recruitment workflows.

• AI Agents: Tools configured with machine learning or conversational intelligence to execute specific functional tasks (e.g., initial outreach, candidate Q&A, or asynchronous video screening).

• Agentic AI: Self-learning systems designed to adapt, iterate, and solve problems dynamically without needing explicit reprogramming for every step.

Understanding this distinction matters because organizations rarely deploy just one tool. Today’s enterprise tech stack is rapidly turning into a multi-agent environment requiring unified orchestration platforms to manage them all.

3. The Dangerous Allure of "AI Sprawl"

With over 180 vendors flooding the market—offering everything from conversational bots to healthcare credentialing engines—organizations face a major operational risk: AI Sprawl.

When individual business units or hiring teams purchase fragmented point solutions in silos, integration nightmares and operational inefficiencies quickly follow. Nurthen advises talent acquisition leaders to:

• Involve front-line recruiters early: End users know where real bottlenecks lie. Failing to consult them leads to poor adoption and fear of job obsolescence.

• Clean up data foundations: Most enterprise recruiting data is fragmented and inconsistently structured. Plugging advanced algorithms into dirty data produces unreliable results.

• Define clear business cases: Resist flashy vendor demos and evaluate solutions against measurable talent acquisition outcomes rather than novelty.

4. High-Risk Workflows Demand Rigorous Governance

As automated candidate ranking and screening tools become standard, the regulatory and legal bar is rising. Employers do not need dedicated AI statutes on the books to face legal exposure; existing anti-discrimination laws already penalize biased outcomes.

When deploying automated candidate scoring and algorithmic recommendations, TA leaders must establish:

• Explainability: Leaders and vendors must be capable of explaining precisely how an algorithm ranks or disqualifies candidates.

• Continuous Bias Audits: A one-time audit from last year is insufficient—especially with adaptive or agentic AI that learns over time.

• Enforced "Human-in-the-Loop": High-stakes hiring decisions should never be left strictly to autonomous software. Transparent audit trails and strict data governance boundaries remain essential.

5. The Future: Managing a Tripartite Workforce

Looking ahead, the role of HR and talent leadership is expanding beyond traditional full-time staff. Organizations are moving toward a unified model of Total Talent Management, where leaders oversee a blended workforce consisting of:

1. Permanent full-time employees

2. Contingent and contract workers

3. Digital workers and algorithmic agents

Supervising algorithms alongside human colleagues requires explicit ownership, operational permissions, escalation rules, and performance metrics. The competitive advantage will belong to teams that integrate software and human talent into a single, cohesive workflow.

You can also 🎧 Listen to the full interview with John Nurthen on the RecTech Podcast to get all the insights from SIA's latest research. Subscribe Here.

Chris Russell Named to the Talent 100

RecTech Media is proud to announce that Chris Russell has been named to the Talent 100, Class of 2026, recognizing exceptional leaders and practitioners shaping the future of talent acquisition.

Chris has spent nearly three decades at the intersection of recruiting and technology. From launching a job board in 1999 to founding RecTech Media, he has built a career around helping recruiters understand how new technology is changing the way companies hire.

Today, through RecTech Media, Chris covers recruiting technology across news, podcasts, video, and industry events, helping practitioners make sense of an increasingly complex market.

“Be curious about technology and I think you'll always be employed,” Chris said.

His recognition reflects a long standing commitment to experimentation, continuous learning, and helping the recruiting community understand what comes next.

Read Chris’s full Talent 100 industry profile to learn more about his career and perspective on recruiting technology.

About the Talent 100

The Talent 100 is an annual recognition of influential leaders across talent acquisition and recruiting. Organized by the AI recruiting platform behind the Talent 100, Noon AI, honorees are selected through peer nominations and independent selection committees based on their professional impact and contributions to the talent profession.

Bringing Hospitality to Healthcare Recruiting: Lessons in Talent, Growth, and Culture

In a recent episode of the RecTech Podcast, host Chris Russell sat down with Stef Bloom, Chief People Officer at SPEAR Physical and Occupational Therapy. Bloom shared insights on applying consumer and hospitality strategies to healthcare talent acquisition, driving employee retention, and navigating the evolving role of the CPO.

Q: Stef, you recently joined SPEAR after nearly 20 years in consumer brands. What drew you to physical therapy?

Stef Bloom: SPEAR was actually a brand-new space for me! I’ve spent around 15 years in growing consumer brands, so healthcare wasn't initially on my radar. What captured my attention was how our CEO and Founder views the business: SPEAR is essentially a hospitality brand that happens to specialize in physical therapy. Bringing best-in-class consumer strategies—like elevated service design, visual presentation, and patient Net Promoter Scores (NPS)—into a clinical setting made it an opportunity I couldn't pass up.

Q: What are your top priorities 90 days into the role?

Stef Bloom: My immediate focus spans two key areas:

• Talent Acquisition: Refining our Employee Value Proposition (EVP) and sharpening why SPEAR is an employer of choice in a compressed healthcare job market.

• People Analytics: Better connecting data across our talent pipeline—linking our ATS (Lever) with our HRIS (Dayforce) to analyze the complete employee journey from top-of-funnel recruiting to onboarding, retention, and exit insights.

Q: How do you source talent for a growing network like SPEAR?

Stef Bloom: Most of our talent acquisition is outbound because organic inbound applications are relatively low in this specialized field. Our single largest talent pool consists of third-year physical therapy students completing clinical internships with us. This creates a mutually beneficial setup: students get to test-drive our culture, while we evaluate their cultural fit and ramp time.

Q: How do you retain clinical talent once they are onboarded?

Stef Bloom: We place a major emphasis on continuous professional development. Physical therapy programs teach clinical expertise, but they don't always cover business management or leadership. To bridge that gap, we offer internal leadership programs structured like an MBA curriculum:

• Emerging Leaders Program for rising clinical talent.

• Advanced Leadership Development for Clinical Directors.

• 100% Internal Promotion Rate: All of our Clinical Directors started as staff therapists and were promoted internally.

Q: How is the role of the Chief People Officer evolving today?

Stef Bloom: CPOs can no longer just be HR subject matter experts. Today, you have to be a business executive first who happens to specialize in HR. It’s about understanding the P&L, recognizing how business decisions impact people, and ensuring people strategies directly drive organizational outcomes.

Q: What are your thoughts on AI in human resources and talent acquisition?

Stef Bloom: AI is a powerful time-saver for administrative overhead—whether that's sourcing assistance, routine HR changes, or data analysis. Offloading that operational heavy lifting frees up time for the work AI can't replicate: empathetic leadership, face-to-face connection, and relationship-building. At the end of the day, healthcare is a human-first business.

How AI Avatars, Smart Co-Pilots, and Fraud Detection Are Reshaping Talent Acquisition

The recruitment landscape has shifted dramatically over the past few years. Driven by AI-assisted resume builders and automated applications, recruiters are facing an unprecedented flood of highly optimized CVs. On paper, candidates look better than ever—but separating the real talent from the noise has become a humanly impossible task.

In a recent episode of REC Tech, host Chris sat down with Vikrant Mahajan (Founder & CEO) and Caitlin Conner from JobTwine to discuss how their conversational AI platform is solving this exact bottleneck.

Here is a summary of the major themes, product data, and future trends discussed in their conversation.

1. The Genesis of JobTwine: Scaling Without the Burnout

Vikrant Mahajan’s inspiration for JobTwine came directly from his experience as a CTO at high-growth, venture-backed startups. He realized that the most critical task for any leader—building a team—was also the most painful.

"The teams were always stretched out... it was always a drag," Mahajan explained.

When conversational AI and Natural Language Processing (NLP) began maturing around 2019–2020, he saw an opportunity to make interview data structured, intelligent, and automated. Fast forward to today, and the pre-seed startup has raised $3 million to bring mid-sized companies a streamlined top-of-funnel screening solution.

2. By the Numbers: What an AI Interview Actually Looks Like

One of the biggest questions employers have is how a candidate interacts with an AI agent. JobTwine shared the data they’ve gathered from real-world deployments:

• The Sweet Spot: The average AI screening interview lasts between 15 to 20 minutes for skilled roles, and about 10 minutes for high-volume, lower-skill roles.

• Question Volume: Platforms typically ask 8 to 10 questions.

• Dynamic Probing: These are not static, sequential forms. The AI dynamically generates "probing" follow-up questions based on the candidate's exact answers to mimic a natural, human-like conversation.

• Completion Rates: Currently, the email-to-interview completion rate sits at roughly 60%, highlighting the ongoing need for human recruiters to warm up candidates and send reminders.

3. Product Spotlight: Custom Avatars, Dialects, and Scorecards

During a live platform demo, Caitlin Conner showcased how flexible AI screening has become. Key features of the platform include:

• Hyper-Customized Avatars: Employers can clone the faces and voices of their actual recruiters, hiring managers, or even the CEO so the candidate feels connected to the company culture.

• Global Scalability: The system supports 32 different languages and drills down into 90 distinct regional dialects (e.g., distinguishing Brazilian Portuguese from European Portuguese) to keep global talent comfortable.

• ATS Integrations & Automated Surveys: Once the interview is over, the AI automatically reads the transcript and auto-populates the standard scorecard or compliance feedback form directly inside Applicant Tracking Systems (ATS) like Greenhouse.

• The Live Human Co-Pilot: For companies not ready to hand over the mic to an avatar, JobTwine embeds a co-pilot directly inside live Zoom or Teams calls. The AI quietly nudges the human recruiter in real-time, reminding them of core competencies to grade or pushing them to probe deeper if a candidate skirts a question.

4. The New Battleground: Combating LLM and Interview Fraud

As candidates rely heavily on tech, interview fraud has skyrocketed. JobTwine has built a sophisticated first-phase fraud detection layer to flag suspicious behaviors without the immediate need for expensive background checks.

The platform generates a Suspicion Score by monitoring several indicators:

• Tab-Switching: Tracking if a candidate opens a separate tab to Perplexity or ChatGPT mid-interview.

• Eye Movements: Flagging if a candidate’s eyes are consistently scanning a generated text block off-screen rather than looking at the interviewer.

• Speech Patterns: Detecting unnaturally smooth responses that lack standard human pauses or filler words, indicating the text is being read directly from an LLM output.

• Identity Verification: Taking snapshot checkpoints to ensure a third party (like a family member) hasn't stepped into the frame to whisper answers.

5. Debunking the Myth: Will AI Replace the Recruiter?

The absolute biggest pushback JobTwine receives from talent acquisition leaders is the fear of job replacement. Both Vikrant and Caitlin fiercely rejected this myth.

AI should be viewed strictly as an enabler, not a decision-maker. By allowing AI to automate the heavily burdened administrative tasks—like initial 15-minute screens, transcriptions, and basic skill verifications—human recruiters are liberated to do what they do best: build relationships, judge cultural fit, and close top-tier candidates.

💡 Final Thoughts

The future of recruitment isn't about removing the human element; it's about optimizing it. Platforms like JobTwine prove that tech can handle the data and volume verification so human teams can focus entirely on the value.

Balancing the Tech Scale: Why AI Hiring Needs a Human "Drumbeat"

Torin Ellis

Founder of Ngoma.io

Download

Artificial intelligence is moving down the recruitment track at breakneck speed, but what happens when these systems completely lose touch with the human experience?

In a recent episode of the Rec Tech Podcast, host Chris sat down with HR industry veteran Torin Ellis to discuss his new venture, Ngoma—a service designed to bring authentic human oversight back to automated tech.

The full conversation can be explored in detail within the TorinEllis.srt transcript file. Here is a breakdown of the critical takeaways from their discussion.

The Problem: Designing for the "Normative" Case

Most AI platforms, mobile solutions, and wearable tech are developed with a "normative" user in mind. Because developers rarely factor in the edge cases of individuals with physical, auditory, or visual disabilities, automated systems often create unintentional barriers.

Torin highlighted a glaring, real-world example: a recent legal battle involving video interviewing platform HireVue and Intuit. An internal deaf employee seeking a promotion was flagged by the automated system as needing to "exhibit better listening skills" because the tech lacked the adequate context to evaluate an audible disability properly. Downstream mistakes like this hurt qualified candidates and land organizations in costly litigation.

The Solution: Ngoma's Human "Strike Teams"

While existing HR tech vendors attempt to test for algorithmic bias, they almost exclusively use software to test software. Torin argues that this reliance on "synthetic data"—where algorithms essentially guess what authentic human life looks like—is severely underserving the disability community.

Ngoma provides a crucial "trust layer" by employing a remote workforce from the disability community to manually audit AI systems.

• The Process: Over a six-to-eight-week discovery assessment, Ngoma's team takes an AI system through a rigorous 177-to-300-step sequential evaluation.

• The Metrics: Systems are mapped directly to the Ngoma Trust Index, which measures equity, accessibility, reliability, transparency, and overall human impact.

• The Deliverables: Organizations receive a plain-English "trust risk memo," an interactive dashboard, and hard evidence (video captures, text, and data artifacts) detailing exactly where the system fails or succeeds.

The Danger of Multi-Tenant Contamination

For employers who think automated bias is contained strictly to their own candidate pools, Torin dropped a sobering piece of data. He pointed to a Stanford study revealing that on many popular multi-tenant HR platforms, the bias originating in one company’s hiring process can actually cross-contaminate and negatively influence the algorithmic data used by other businesses on that same network.

Because data is shared on steroids across entire platforms, talent acquisition leaders must ask vendors tougher, more discriminating questions before buying into the "shiny" promise of a tech solution.

Humanity is the ROI

Derived from the Swahili word for drumbeat, Ngoma was named after Torin's core philosophy: people are the true rhythm and pulse of an organization. Designing more equitable tech isn't a charity project; it's a massive market opportunity to properly engage the estimated two to three billion people globally living with a disability.

As Torin beautifully put it during the wrap-up:

"The ROI of D&I is greater humanity."

To learn more about how to audit your automated hiring tools, visit Ngoma.io.

Navigating "The Great Pause": Trust, Tech, and the 2026 Job Market

Job Seeker Nation

RecTech Podcast

The latest JobSeeker Nation report—built on a nationwide survey of over 1,500 U.S. adults—reveals a major shift in candidate behavior. Job seekers are hitting pause and stepping back from the job market altogether.

To break down why this is happening and what it means for HR leaders, the RecTech podcast sat down with Stephanie Manzelli, Chief People Officer at Employ (the parent company behind JazzHR, Lever, and Jobvite).

Here are the key takeaways from their conversation on trust, the impact of AI, and how companies can better connect with today's talent.

The Trust Gap: Why Candidates are Stepping Back

According to Manzelli, the biggest challenge facing people leaders today isn't just attracting talent—it's establishing and maintaining trust. A glaring disconnect between what is promised during the interview process and what is actually delivered is fueling early turnover.

• The 90-Day Reality Check: The report highlights that 46% of people who left a job within their first 90 days did so because the actual role did not align with what was communicated during the hiring process.

• The Rise of Hiring Scams: Trust is further eroded by a spike in fraudulent listings. 53% of job seekers report encountering job postings they believed were scams, flagging roles that look "too good to be true" or demand sensitive personal identity information too early.

• The Ghosting Epidemic: Recruiter and hiring manager ghosting is on the rise, with 32% of candidates experiencing it this year.

How Employ Tackles Ghosting: Manzelli notes that Employ prevents ghosting by refusing to leave job listings open indefinitely just to gather thousands of applications. Instead, they intentionally close posts down early to ensure the talent acquisition team can maintain meaningful follow-through with every applicant.

The Gen Z & Millennial AI Paradox

The report reveals a fascinating generational divide regarding the use of Artificial Intelligence in recruitment. While younger generations are highly comfortable using AI, they are also the most skeptical of its ethics.

• AI Concern by Generation: When asked about companies relying too heavily on AI, 60% of Baby Boomers expressed concern, compared to 49% of Gen Z. Interestingly, concern dropped even lower among Millennials (40%) and younger Gen Z brackets (39%).

• The Rejection Dichotomy: Despite being more tech-native, younger candidates are far more likely to believe they have been unfairly and automatically rejected by an AI algorithm. They expect companies to use advanced tech, but they are highly sensitive to its potential bias if left unchecked.

Human-in-the-Loop: Striking the Right Balance

With 40% of candidates stating they would feel more comfortable if a human reviewed AI-driven recommendations, Manzieli emphasizes that AI should remain a supportive tool, not a replacement for human judgment.

• What AI is good for: Generating consistent, unbiased interview questions based on job descriptions, streamlining application workflows, and scheduling.

• What requires a human: Understanding an organization’s unique context, evaluating candidate personas, and making the final hiring decision. Manzieli firmly stands against auto-rejections, advocating instead for using AI purely to surface matches for human evaluation.

Actionable Advice for Employers

To turn passive candidate interest into new hires during "The Great Pause," employers must transition from theoretical storytelling to tangible proof.

1. Make Growth Tangible: Don't speak in abstract terms about career progression. Outline transparent progression paths, clear timelines, and upward opportunities up front.

2. Close the Reality Gap: Give candidates a real look at how your teams operate day-to-day. Show them actual meeting structures, communication expectations, and leadership styles during the interview process.

3. Treat Flexibility as a Core Offer: Treat flexibility as a standard part of the job structure, not a perk. Clearly define whether a role is remote, hybrid, or open-scheduled so candidates can accurately assess alignment.

4. Don't Wait for Exit Interviews: Take a human-centered design approach to your workforce. Frequently pressure-test your employee experience using onboarding insights and new-hire check-ins to spot and fix misalignments instantly.

The full 2026 Job Seeker Nation Report is available on Employ Inc's website and their respective product channels.

AI, Trust, and the Future of High-Volume Hiring: A Conversation with Humanly CEO Prem Kumar

Prem Kumar, CEO of Humanly

RecTech Podcast

High-volume recruiting is undergoing a massive transformation. With the rise of generative AI, the lines between software and service are blurring, changing both how companies hire and how job seekers find work.

On a recent episode of the RecTech Podcast, host Chris Russell sat down with Prem Kumar, the CEO and founder of Humanly. Humanly, a high-volume recruiting platform, just announced a major milestone: a $25 million Series B funding round.

Prem shared his insights on what this funding means for the company, how AI is altering the economics of HR tech, and how organizations can leverage automation without losing the human touch.

1. The Next Chapter for Humanly

Fresh off the $25 million funding announcement, Prem noted that the team’s immediate priority is execution—specifically, building a better product and scaling their internal team. Currently sitting at around 50 employees, the six-year-old company is looking to expand its workforce across several key roles.

2. From "SaaS" to "Service as a Software"

One of the most provocative concepts discussed was the shift from standard Software as a Service (SaaS) to "Service as a Software."

Prem highlighted a massive discrepancy in market spend: while the recruiting technology market is worth roughly $14 billion, the staffing, RPO, and services market is a staggering $500 billion. This services market is heavily concentrated in hourly, deskless, and entry-level high-volume roles.

Traditionally, software platforms give you the tools (like a kit to build an IKEA chair), but services companies deliver the actual outcome (the finished chair). Humanly is bridging this gap by shifting toward Pipeline as a Service. Instead of just selling an ATS or a CRM, they are providing a built-in flow of QIAs (Qualified, Interested, and Available) job seekers. This allows technology vendors to deliver agency-level outcomes with high SaaS-like efficiency.

3. The AI Reality: Engagement vs. Being Ignored

A common critique of AI in recruiting is that it removes the human experience. However, Prem flipped this perspective for high-volume hiring:

"From a job seeker standpoint, we’re not talking about human versus AI. We’re talking about AI versus being ignored and never hearing back."

Statistically, about 95% of applicants attracted via recruitment marketing are completely ignored because time-strapped hiring teams can only realistically review about 5%. Traditional applicant tracking systems rely on glorified keyword matching to filter that 5%.

Humanly leverages conversational AI to ensure 100% of applicants get a two-way screening interview. This helps companies learn more about every candidate beyond a piece of paper, while simultaneously building a robust "silver medalist" pipeline for future roles.

4. Bridging the "Trust Gap"

We are currently witnessing a unique phenomenon in enterprise technology: a massive gap between the appetite to buy AI and the trust required to deploy it safely. Prem referenced a study by Tideo showing that while 90% of Talent Acquisition leaders want to use AI, only 27% actually trust it.

To build this trust, Prem emphasizes that AI vendors must focus on:

• Transparency & Third-Party Audits: Ensuring models are externally audited for fairness.

• Giving Value Back: Job seekers trust AI when it provides immediate value, like resume coaching, constructive feedback, or a faster path to a job.

• Deep Collaborative Customization: AI allows vendors and buyers to sit on the same side of the table to custom-tailor workflows, tonal qualities, and brand experiences much faster than old code-heavy software allowed.

5. Combating Bias with Better Data

AI models face valid criticism for potentially automating or exacerbating bias. Humanly tackles this by training its models using data sets from hundreds of thousands of human-to-human interactions to identify systemic flaws.

For example, their research on 300,000 Zoom interviews revealed that junior women were given an average of 10 minutes less to speak. They also found that interviewers speaking over 150 words per minute severely disadvantaged candidates for whom English is a second language. By standardizing and guard-railing conversations, a properly trained AI interviewer can actually level the playing field and minimize human bias.

6. The Future: "Jobs Find You"

When asked about the current "AI arms race"—where candidates use auto-apply bots to flood inboxes and employers use AI filters to block them—Prem sees an ultimate paradigm shift on the horizon.

Right now, AI is being used to make existing, inefficient application processes faster. In the near future, Prem predicts we will move away from active applying altogether. Instead, a job seeker might interview or update their profile just once a year, and intelligent agents will pass that verified data to company agents. We will move toward an ecosystem where jobs find you, eliminating the "resume black hole" entirely.

Key Takeaways for Founders and TA Leaders:

• Data is the Moat: In the age of AI, transactional tracking tools are easy to build. The true value lies in recruiting-specific data sets that understand contextual nuances (like state pay transparency laws) to drive actual conversions.

• Empathy Matters: Use AI to absorb administrative, script-reading tasks so human recruiters can use the full capacity of their empathy where it matters most.

To learn more about Humanly and their open roles, visit humanly.io. For more insights at the intersection of recruiting and technology, subscribe to the RecTech Podcast.

Greenhouse Report: More Applications, Fewer Recruiters

The 2026 Hiring Landscape: A Deep Dive into Greenhouse's Latest Benchmark Report

Sharawn Tiption from Greenhouse

RecTech Podcast

The world of recruiting has hit a major "reset" button. Greenhouse, a leader in hiring technology, recently released its 2026 Benchmark Report, and the findings reveal a landscape fundamentally transformed by AI and shifting economic pressures.

To break down these insights, Sharawn Tipton, Chief People Officer at Greenhouse, joined the Rectech Podcast to discuss the report's key findings and what they mean for both employers and job seekers.

The Paradox: More Applications, Fewer Recruiters

The most striking trend in the report is the massive surge in application volume. Recruiters are now managing 411% more annual applications than they were in 2022. This explosion is largely driven by AI-powered tools that allow candidates to apply to hundreds of jobs with minimal effort.

At the same time, recruiting teams have been cut by more than half, seeing a 55% decrease in size since 2022. This creates a challenging "doom loop" where candidates feel ghosted by overwhelmed systems, and recruiters struggle to surface quality talent from a sea of automated applications.

Key Statistics from the Frontlines

• Increased Productivity: Despite smaller teams, recruiting efficiency has actually risen. Monthly hires per recruiter jumped 122% between 2022 and 2025.

• Application Surge: Applications per job have increased by 111%, rising from roughly 115 in 2022 to 244 in 2025.

• AI Integration: The use of AI in the interview process is climbing rapidly, up 13 percentage points in just the last six months.

Moving Beyond the "Doom Loop": Strategies for Success

Sharon Tipton emphasizes that while AI is driving the volume, it must be balanced with a human-centric approach. Here are Greenhouse’s recommendations for navigating this new era:

1. Embrace Specialized AI

The goal isn’t just more AI, but better AI. Tipton suggests using tools that integrate AI to provide a natural "uplift" in efficiency while ensuring the technology is built to mitigate bias and support a fair, structured hiring process.

2. Prioritize AI Fluency

For job seekers, "AI fluency" is becoming a critical skill. Tipton notes that Greenhouse now tests for this during interviews—not just asking if a candidate uses AI, but how they use it to validate information and solve problems.

3. Human-Centric Interviews

Technology should enable human encounters, not replace them. Tipton stresses the importance of keeping the person at the center of the process, ensuring candidates feel respected and informed even when automated systems are involved.

4. Transparency as a Differentiator

In a crowded market, transparency builds trust. Companies that are open about how they use AI and provide clear timelines for the "next steps" in their hiring workflow will stand out as employers of choice.

The Takeaway

The 2026 hiring landscape is high-volume and high-tech, but the fundamentals of relationship-building remain the same. As Tipton puts it, "Business is personal". The companies that successfully navigate this reset will be those that use AI to enhance, rather than diminish, the human experience of finding the right job.

For more details, you can access the full 2026 Greenhouse Benchmark Report through the link here.

How to Optimize Your Career Site for the AI Ecosystem

In a landscape where candidates increasingly turn to Large Language Models (LLMs) like ChatGPT, Claude, and Gemini to find their next role, the traditional rules of SEO are shifting. According to employer brand expert James Ellis, being found by talent today requires a new strategy: ensuring AI can find you, understand you, and trust what it finds.

Here are the key takeaways from Ellis on how to turn your career site into a high-performing AI search asset.

1. Give Your Company a Real Entity Homepage

Most Fortune 500 career sites fall into the trap of "cookie-cutter" messaging, using generic phrases about growth and purpose that make every company sound the same.

• Take Ownership: Unlike third-party platforms, you own your career site and its domain authority.

• Stand Out: Avoid "recruiting-speak" and "legal-speak". Use your site to clarify exactly what your company offers in a way that LLMs can distinguish from your competitors.

2. Make Your Claims Auditable

AI systems value evidence over empty marketing claims. If you claim to have a culture that "cares," you must provide proof.

• Use Specific Examples: Ellis suggests moving beyond bullet points to include short, two-sentence stories or testimonials from employees.

• Provide Data: Tangible proof—such as a specific policy or the amount spent on an employee benefit—serves as undeniable evidence for an AI to rank your company as a credible answer to a user's prompt.

3. Build Durable Pages, Not Disposable Posts

A common mistake is placing all high-quality content inside job postings that expire and disappear after 30 days.

• Perpetual Evidence: LLMs look for evidence that is perpetual and evolving.

• Reinforce Your Story: While job postings are important for initial impressions, that content should also live permanently on your career site to reinforce your brand pattern across the web.

4. Leverage Structured FAQs and Q&As

FAQs are "low-hanging fruit" that provide the context LLMs crave.

• Feed the AI Context: LLMs struggle with ambiguity (e.g., distinguishing "CAT" the animal from "CAT" the tractor company).

• Be Specific: Instead of a generic "What is it like to work here?", use detailed questions like "What is the day-to-day for a claims adjuster in our Chicago office?". This allows the AI to play a better "matching game" with user queries.

5. Prioritize Living, Fresh Content

Your career site should not be a static archive; it needs to show "signs of life".

• Incremental Changes: You don't need a radical redesign every year. Instead, make small, weekly updates: swap a headline, add a new video, or refactor a company news story into a candidate-facing update.

• Fractal Branding: Ensure your core value proposition is present in every sentence. If innovation is your brand, it should be indicated throughout the site, not just in a single headline.

Measuring Success in the AI Age

As search shifts away from simple link lists, traditional ranking becomes less relevant. Employers should focus on citation visibility and traffic coming directly from LLMs in their analytics. By narrowing your focus to be intensely appealing to your specific target audience, you ensure that when an engineer asks an AI for the best place to work in Chicago, your company is the one that gets the recommendation.

How are you currently adapting your recruitment content to ensure it is "understandable" to AI?

The Rise of Workplace Misconduct: Why Your Screening Strategy Needs a Digital Upgrade

A Conversation with Ben Mones, CEO of Fama Technologies

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Ben Mones CEO of FAMA Technologies

RecTech Podcast

The workplace has changed dramatically. Your screening process should too.

In a recent conversation on the RecTech Podcast, Ben Mones, CEO of Fama Technologies, shared eye-opening insights about the state of workplace misconduct and why employers are falling behind in their talent vetting practices. With 11 years in the screening space, Ben has a front-row seat to how digital transformation is reshaping hiring—and what companies need to do to protect themselves.

The Numbers Don't Lie: Misconduct Is On the Rise

Fama's latest "State of Misconduct at Work" report reveals a startling trend: there's been a 34% year-over-year increase in online misconduct signals. We're not just talking about isolated incidents. Across industries, roughly one in 15 candidates screened shows some form of misconduct signal—whether it's trolling, violence, threats, or references to illegal drug use.

"Misconduct is on the rise writ large," Ben explains, pointing to the fundamental shift in how work happens today. With remote and hybrid work becoming the norm, employees are getting to know each other through Discord, Reddit, LinkedIn, and other digital channels rather than around the office water cooler. That digital footprint tells a story—and employers need to be reading it.

The Unexpected Culprit: LinkedIn

Here's something that might surprise you: LinkedIn has become ground zero for online misconduct, experiencing the biggest explosion of problematic behavior.

"I'm starting to see it as much more of a sewer," Ben says candidly. When Twitter faced upheaval under new ownership, many users migrated to alternative platforms like Bluesky and Mastodon. But eventually, they found their way to LinkedIn—bringing their unfiltered behavior with them. The result? A platform once known for polished professional networking is now seeing harassment, inappropriate advances, and other problematic content at scale.

Your Workforce Has Changed—Has Your Screening?

With six generations now in the workforce, the demographic makeup of talent has shifted dramatically. Half the workplace is now made up of Gen Z and millennials—digital natives who have spent their entire lives online. For these candidates, their social media history is often richer and more revealing than any traditional background check.

Ben uses a vivid metaphor: "Are you screening like it's 1999 on Windows XP, or are you screening on a MacBook Pro with Claude and Gemini?"

The point is clear: if your screening strategy hasn't evolved to match your workforce, you're operating with incomplete information.

The Real-World Impact

Chris Russell, the podcast host, shared a powerful anecdote that illustrates why this matters. Before hiring someone for a financial role with access to sensitive data and credit cards, he did a simple Google search on the candidate's name. He found an article mentioning that the person had been caught stealing from someone's purse at a school. When confronted, the candidate admitted it.

That's the kind of critical information that can be hiding in plain sight—if you know where to look.

Technology Is Smarter Than You Think

One of the biggest misconceptions about social media screening is that it's just keyword matching. That's outdated thinking. Modern AI has evolved dramatically.

Today's systems can distinguish between "My boss and I are going to kill it on this project" and "I'm going to kill my boss after I wrap up this project.". The difference matters—and sophisticated AI now understands context in ways that simple keyword searches never could.

How Employers Are Actually Using This

About 80% of Fama's clients use social media screening during the final candidate shortlist—typically when they're down to three or four people and ready to extend a conditional offer. This positions screening as a complement to traditional background checks rather than a replacement.

Interestingly, about 20% of their clients are also doing ongoing employee re-screening, monitoring for regulated behaviors like workplace harassment, violence, or threats.

Privacy First: Consent and Compliance Matter

A common concern: isn't this invasive? The answer is nuanced.

All legitimate screening should be fully compliant with FCRA and GDPR regulations, with explicit candidate consent. Importantly, candidates get to see the results and explain themselves—just like any other background check. This isn't a black-box process; it's a conversation.

And here's the surprising part: when employers are transparent about their screening practices, most candidates appreciate it. People want to work somewhere that screens for intolerance, harassment, and illegal drug use. It signals that the company takes its values seriously.

Beyond Binary: The Future of Screening

Traditional background checks are binary. You either have a conviction or you don't. But social media screening is different—and that requires a different approach.

A candidate posting one tasteless joke is different from someone with a pattern of offensive behavior over years. Employers need room for nuance and judgment. This is where the future of screening is headed: away from rigid, automated decisions and toward explainable, behavior-based AI systems that track candidates over time.

Ben envisions a future where screening provides longitudinal insights—understanding not just who someone is at one moment in time, but how they've evolved, what patterns emerge, and what that might predict about their future behavior in your organization.

What Employers Should Do Now

Ben's recommendations are straightforward:

Don't change your why. You still have clear values and standards. The question is whether your screening process reflects them.

Review your code of conduct. Is it just a document employees sign off on, or do you actually enforce it? Screening is a way to make those values real.

Lean into compliance, not away from it. Be transparent with candidates about what you're screening for and why. Most will respect you for it.

Adapt your screening sources. For a workforce that's largely digital natives, social media screening should be part of your toolkit—just like reference checks or background checks.

The Bottom Line

Workplace misconduct is rising, and it's happening in the digital spaces where your future employees spend their time. The question isn't whether to screen for it—it's whether you're screening in the right places, using the right tools, and doing it in a way that's both compliant and fair.

As Ben puts it: your screening strategy should be reflective of the workforce you're actually hiring, not the one you hired 20 years ago.