WorkTech Podcast

The WorkTech Podcast explores the critical trends shaping the future of work and HR tech. George LaRocque of WorkTech, drawing from years of advising top innovators, investors, and enterprises, guides you through market deals, issues, opportunities, and trends—all through a strategic, actionable lens.

  1. Goldman Sachs Validation: Einat Steklov on Kashable’s $60M Series C and the Future of Workplace Credit

    2 DAYS AGO

    Goldman Sachs Validation: Einat Steklov on Kashable’s $60M Series C and the Future of Workplace Credit

    In this episode of the WorkTech Podcast, host George LaRocque sits down with Einat Steklov, co-founder and co-CEO of Kashable, to discuss their monumental $60 million Series C funding round led by the Goldman Sachs Impact Fund. At a time when middle-market funding has been scarce, this deal stands out not only for its size but for the powerful validation it provides for the financial wellness category. The "Action" Gap in Financial Wellness For years, employer-sponsored financial wellness was limited to advice and education. However, as Einat explains, "advice alone is just not enough" when 78% of Americans are living paycheck to paycheck. Kashable bridges this gap by combining expert financial coaching and credit monitoring with Socially Responsible Credit®, low-cost loans that serve as a lifeline for employees facing unexpected expenses like car repairs or medical bills. How It Works: The Employer Advantage Kashable’s unique model leverages the employer relationship to offer credit to those often shut out of traditional banking. By utilizing employment data for underwriting and payroll-linked repayment, Kashable can say "yes" more often while maintaining a resilient business model. This system creates a "win-win-win": For Employees: Access to credit that helps build or repair their credit scores—often by 45–50 points. For Employers: A reduction in 401(k) loan withdrawals (up to 30% in some cases) and improved employee retention and focus. For HR Teams: A seamless, tech-driven implementation that integrates with major HCM and payroll platforms like Workday and Business Solver. A Mission Validated by Goldman Sachs The partnership with Goldman Sachs’ Impact Fund brings with it a commitment to measurable social impact. Einat details how the $60M capital injection will be used to scale Kashable's reach from the 5 million lives currently covered to the 100 million+ American workers who still need these essential financial tools. Whether you are a CHRO looking to bolster your voluntary benefits package or a fintech enthusiast interested in impact investing, this conversation provides a blueprint for how technology can foster a more inclusive and resilient financial system. Key Takeaways Validation of the Category: A Series C led by Goldman Sachs signifies that financial wellness is no longer a "nice-to-have" but a durable, institution-grade business model. Moving Beyond Advice: Effective financial wellness requires an "action plan" that includes tangible tools, such as affordable credit, alongside education. The Power of Payroll: Using payroll integration for repayment provides the certainty needed to offer better terms than the open market, directly helping employees build credit files. Protecting Retirement Savings: Providing an alternative to 401(k) loans helps employees keep their retirement plans intact, addressing a major long-term problem for both workers and employers. Scalability via Tech: Seamless HCM integrations are critical for adoption, enabling HR teams to "flip a switch" and deliver high-impact benefits without a significant administrative burden. On this episode Einat and George discuss Series C Funding, Goldman Sachs Impact Fund, Financial Wellness, Socially Responsible Credit, Fintech, Employer Benefits, Payroll Integration, Credit Score Improvement, 401(k) Loans, Employee Retention, HR Technology. Learn more about your ad choices. Visit megaphone.fm/adchoices

    27 min
  2. Greenhouse Acquires Ezra AI Labs: The Voice AI Bet Reshaping the Hiring Interface

    5 MAY

    Greenhouse Acquires Ezra AI Labs: The Voice AI Bet Reshaping the Hiring Interface

    Why Greenhouse acquired Ezra AI Labs, what it signals for voice AI in HR tech, and how the hiring interface is about to change. In a WorkTech exclusive, George LaRocque sits down with Greenhouse CEO and founder Daniel Chait just after the announcement that Greenhouse has entered a definitive agreement to acquire Ezra AI Labs, a foundational voice AI interviewing platform built to deliver structured, naturalistic on-demand candidate conversations at scale. This breaking news episode goes beyond the press release, delivering analyst-led context on why this acquisition happened, why it happened now, and what it means for the HR technology market, talent acquisition leaders, and the future of the hiring interface. Greenhouse, the structured hiring platform used by 7,500 companies worldwide, is making a deliberate move to own a foundational AI capability before the market converges around it. Ezra AI Labs was purpose-built to solve the three core failures of first-generation AI interviewing: robotic voice quality, lack of structured methodology, and transparency gaps that eroded candidate trust. WorkTech's Q1 2026 M&A research flagged voice AI in talent acquisition as a strategic category to watch, tracking 41 acquisitions across 40 transactions in 10 countries driven by capability buying rather than consolidation. This deal is a direct expression of that thesis. In this episode, we look at: voice AI recruitment, AI-powered interviewing, HR technology M&A, talent acquisition innovation, structured hiring, the future of work, and agentic AI in enterprise software. Key Takeaways: Greenhouse acquired Ezra AI Labs because existing voice AI interview products were failing candidates on three measurable dimensions: experience quality, structured methodology, and transparency. Ezra was built from the ground up to solve all three. This is an infrastructure acquisition. Voice AI is the foundation for conversational interaction across the entire Greenhouse platform, not just a standalone interview feature. WorkTech's Q1 2026 M&A data shows capability buying as the dominant deal thesis across 41 work tech acquisitions. Greenhouse acquiring Ezra is the clearest expression of that pattern in talent acquisition. Candidate sentiment toward AI interviewing is shifting. Greenhouse's research shows acceptance is already growing as voice AI quality improves and companies lead with transparency and structured methodology. The deal signals to the broader market that voice AI in talent acquisition is no longer a watch list category. Competitors will respond. Expect significant M&A and product investment activity in this space over the next 12 months. For Greenhouse customers, Ezra continues to operate independently while integration work proceeds on the back end. Governance, reporting, and customer control are central to the rollout philosophy. The cultural fit between Greenhouse and Ezra runs deeper than technology. Both companies prioritize structured hiring practice, candidate experience, and compliance as foundational rather than add-on considerations. In this episode, George and Daniel discuss Greenhouse acquisition of Ezra AI Labs, voice AI interviewing, structured hiring methodology, candidate experience, HR technology M&A, agentic AI in recruiting, talent acquisition innovation, hiring platform strategy, AI adoption in enterprise software, and the future of the hiring interface. Learn more about your ad choices. Visit megaphone.fm/adchoices

    21 min
  3. Beyond the AI Smokescreen

    3 MAY

    Beyond the AI Smokescreen

    In this comprehensive April 2026 edition of the Up Next @ WorkTech crosspod, George LaRocque (founder of WorkTech) and Kate Achille (The Devon Group) reunite after a season of travel and industry events to dissect the complex, often contradictory state of the modern workplace. The conversation strikes a balance between human-centric news, including Kate’s recognition as a Top Woman in PR and Communications, and the sobering reality of a tech sector undergoing a radical, AI-driven transformation. The episode dives deep into the late-April "layoff season," focusing on the divergent strategies employed by industry titans Meta and Microsoft. While Meta has announced significant cuts, slashing 8,000 positions and closing 6,000 open roles, the duo notes the "snarky" internal reality for those remaining: employees are reportedly being tasked as "AI training dummies," essentially training the models destined to replace their functions. In contrast, Microsoft is taking a more "human" approach through strategic buyouts aimed at its longest-tenured staff: those whose age and service years combined equal 70 or more. George and Kate discuss whether these layoffs are truly necessitated by AI or if the technology is serving as a "smokescreen" for companies to correct the over-hiring trends seen during the post-COVID boom. A provocative segment of the show explores the rise of "Office AI Leaderboards" at major corporations like JP Morgan and Disney. This trend, dubbed "token maxing," involves ranking white-collar workers based on their AI usage. George shares a striking anecdote of a Disney employee invoking the AI model Claude 460,000 times in just nine days. However, the hosts question the validity of these metrics. Citing observations from the CEO of Workable, George notes that while personal productivity (writing emails faster or generating 50-page briefs) has spiked, it has not yet translated into measurable business productivity, which still relies on human-centric alignment, communication, and leadership. They warn of the "AI slop" created when high usage is prioritized over competence. The episode also covers significant leadership changes at the Department of Labor (DOL). With Keith Sonderling stepping in as Acting Secretary of Labor, the hosts express cautious optimism. Known for his active engagement with the tech community to understand how AI is built and applied, Sonderling is viewed as a "steady" hand who may finally provide the federal regulatory guidance the workforce desperately needs. Finally, George provides an exclusive breakdown of the Q1 2026 WorkTech funding and M&A report. Key highlights include: $1.9 billion in capital raised across 58 deals, though "mega-deals" accounted for 68% of the total. An "hourglass" market effect, where early-stage startups and massive incumbents thrive while mid-market companies without AI-native models feel the squeeze. A surge in European consolidation, with Europe nearly matching the US in M&A transaction volume during the first quarter. The episode concludes with a "Rose and Thorn" segment, touching on the cultural impact of US policy abroad and Kate’s upcoming participation in a national athletic competition in Corpus Christi. On this episode Kate and George discuss AI Layoffs, Token Maxing, WorkTech M&A, Department of Labor, Keith Sonderling, Microsoft Buyouts, Meta AI Training, Human Capital Management (HCM), Business Productivity, HR Tech Trends, VC Funding 2026, Claude AI, Workforce Regulation, Employee Gamification, HR Brew Talent 2030.  The Great Tech Reset: Layoffs and Strategic BuyoutsGamification vs. True ProductivityRegulatory Shifts and the M&A Landscape Learn more about your ad choices. Visit megaphone.fm/adchoices

    44 min
  4. Crosschq Acquires Traitify: A $600B Play to Solve Hiring from the Frontline to the C-Suite

    31 MAR

    Crosschq Acquires Traitify: A $600B Play to Solve Hiring from the Frontline to the C-Suite

    In this episode of WorkTech, George LaRocque sits down with Crosschq CEO Mike “Fitz” Fitzsimmons to break down a strategically significant acquisition in the HR Tech market: Crosschq’s purchase of Traitify, the behavioral and cognitive assessment provider known for its scientifically validated, highly visual, candidate‑friendly assessment experience. Fitzsimmons reveals why the timing is ideal, how the deal came together, and why Traitify’s science‑backed approach to behavioral prediction and realistic job previews is a perfect fit for Crosschq’s expanding hiring intelligence platform. “We’re announcing an acquisition of a company called Traitify… a leading provider of behavioral and cognitive assessments," Fitzsimmons shares, underscoring the strategic importance of deeper candidate intelligence in an AI‑accelerated hiring landscape. The conversation explores how Crosschq has evolved from digital reference checking into a full‑scale quality‑of‑hire system of record spanning fraud detection, AI interviewing, interview intelligence, reference checking, and analytics. With Traitify's 50M+ completed assessments and a team of PhDs joining Crosschq, the combined platform now offers end‑to‑end intelligence from the moment a candidate enters the hiring funnel. This acquisition specifically positions Crosschq to scale into the $600B+ frontline labor market, where traditional methods often fail to address turnover rates that can exceed 100% in certain industries. By integrating Traitify's assessments, built on established frameworks like the Big Five, Crosschq aims to replace "intuition" with data-driven decisions that correlate directly with long-term performance.  Fitzsimmons highlights the long‑term vision: a unified, science‑validated, AI‑powered foundation model for hiring that continuously learns from outcome data. “We imagine a world where you could compress this all… into one unit of thing," he explains, emphasizing the shift toward integrated, predictive hiring workflows. In this episode, we look at HR Tech, M&A, talent intelligence, strategic consolidation, quality of hire, AI in hiring, and the Future of Work. Key Takeaways: Crosschq acquired Traitify to deepen its quality‑of‑hire platform with validated behavioral, cognitive, and job‑preview science, strengthening its position as an end‑to‑end hiring intelligence provider. The deal accelerates Crosschq's move toward a unified, integrated workflow/platform provider, combining assessments, AI interviewing, interview intelligence, fraud detection, and reference checking. Addressing the Frontline Turnover Crisis: The platform now targets the 80% of the global workforce in frontline roles, aiming to solve structural inefficiencies where fewer than half of new hires typically remain after one year. Traitify's 50M+ assessments and PhD‑led science team give Crosschq a defensible data advantage, enabling outcome‑linked, compliant, explainable AI. A New "System of Record": CEO Mike Fitzsimmons notes that hiring has historically lacked a true system of record for outcomes: "This deal creates a continuous learning loop where every candidate interaction is tied back to real-world performance data." Market timing is ideal, with employers shifting from “butts in seats" to ROI‑driven hiring and quality‑of‑hire becoming the top priority for TA leaders." Crosschq's new platinum partnership with Workday and deep integration with Paradox expand distribution and enterprise reach, signaling strong ecosystem alignment. Scientific Validity vs. "Opaque" AI: Unlike many new AI tools that rely on unvalidated signals, the Traitify integration ensures that all behavioral data is grounded in rigorous industrial-organizational psychology. The long‑term vision is a foundation model for hiring, trained on behavioral science, outcome data, and multimodal signals. A major step toward predictive, ethical, AI‑driven talent decisioning. Learn more about your ad choices. Visit megaphone.fm/adchoices

    25 min
  5. Inside Blify’s $2.1M Pre‑Seed: The New Wave of AI‑Native Learning Software

    19 MAR

    Inside Blify’s $2.1M Pre‑Seed: The New Wave of AI‑Native Learning Software

    In this episode, George LaRocque sits down with Clément Lhommeau, co‑CEO and co‑Founder of Blify, the Paris‑based learning startup that just raised €1.8 million/$2.08 million in pre‑seed funding. Blify embeds learning directly into Slack, Microsoft Teams, and WhatsApp, creating an AI‑powered learning layer that eliminates the need for employees to log into a traditional LMS. Clément explains how the founding team blends deep HR tech experience, AI engineering excellence, and enterprise go‑to‑market expertise, including backgrounds at 360Learning, JobTeaser, and Alan. The conversation explores why now was the right moment to raise, with Clément noting that “everything goes very quickly in this market… even in the learning industry.” With 30 early customers across France, Europe, and global markets, Blify is focused on product, scalability, and co‑designing with design partners to reach true product‑market fit. Their long‑term vision: make the destination LMS obsolete and establish Blify as the intelligent learning layer for the enterprise. In this episode we look at HR Tech, startup funding, venture capital, AI‑powered learning, product‑market fit, Future of Work innovation, and early‑stage go‑to‑market strategy. Key Takeaways (Funding Strategy, Investor Signals, PMF) Blify raised €1.8M on vision, not features, positioning itself as a pioneer of a new wave of AI‑native learning software. Timing mattered: Rapid shifts in AI and L&D created urgency to accelerate product development and customer validation. Investor confidence was driven by team strength, with founders who are operators, domain experts, and AI specialists. Early momentum (30 customers across regions) served as critical proof of market pull and early product‑market fit signals. The pre‑seed focus is product, scalability, and co‑design, not aggressive growth. A modern funding discipline that investors expect. Long‑term vision aims to replace the LMS entirely, positioning Blify as the enterprise learning layer embedded in daily workflows. Learn more about funding in HR and WorkTech at https://1worktech.com Learn more about Blify at https://blify.co Learn more about your ad choices. Visit megaphone.fm/adchoices

    21 min
  6. The New Rules of Strategic Workforce Planning: Why Work Tech is Finally Growing Up

    3 MAR

    The New Rules of Strategic Workforce Planning: Why Work Tech is Finally Growing Up

    In this episode, George LaRocque breaks down why 2026 marks a turning point for Work Tech, driven by architectural rigor, agentic AI, and a shift away from generic wrappers toward real business value. He explores the evolution of strategic workforce planning, the rise of autonomous agents as part of workforce capacity, and the escalating risks tied to agent complexity. George also outlines the four categories of high‑conviction innovation WorkTech is actively seeking from founders and investors. In this episode we look at workforce planning, agentic AI, HR Tech innovation, WorkTech trends, skills intelligence, autonomous agents, and the future of work. Key Takeaways Strategic workforce planning is shifting from aspiration to execution, powered by agentic AI and predictive workforce intelligence. Autonomous agents are now part of workforce capacity, requiring new models for skills, tasks, and output planning. Architectural rigor is the new market standard, replacing the experimental AI phase with measurable business value. Agent complexity introduces new risks, especially one‑to‑many agent connections that create compliance and security liabilities. Investors are demanding verticalized agentic models, business connective tissue, voice agent innovation, and global payroll infrastructure. The flight to quality is accelerating, rewarding founders who solve well‑defined problems with clear ICPs and scalable architectures. Get more insights on these topics and more at 1worktech.com Learn more about your ad choices. Visit megaphone.fm/adchoices

    15 min
  7. Up Next @ WorkTech: Reverse Recruiting, Risky Agents, and the Rise of AI Native HR Tech

    27 FEB

    Up Next @ WorkTech: Reverse Recruiting, Risky Agents, and the Rise of AI Native HR Tech

    A fast-moving conversation on AI‑driven promotions, frontline automation, agent security risks, reverse recruiting, and the funding wave reshaping HR Tech in 2026. In this episode, George and Kate unpack how AI is reshaping work—from Accenture tying promotions to AI usage (“use of our key tools will be a visible input to talent discussions.”) to Burger King’s voice agent Patty tracking upsells and friendliness scores. They explore Google’s internal AI push, the security risks of OpenClaw (“30,000 compromised installations”), and the rise of “AI native” as 2026’s dominant narrative. The conversation closes with reverse recruiting, new funding rounds, and emerging HR Tech trends. In this episode, George and Kate look at AI adoption, HR technology, agentic AI, workforce automation, recruiting technology, future of work trends, HR Tech funding. Key Takeaways: AI‑Driven Performance Management: Accenture’s plan to tie promotions to AI usage raises questions about leadership, culture, and the future of performance metrics. Frontline Automation Expands: Burger King’s “Patty” agent shows how voice‑based AI is entering hourly work, tracking upsells, sentiment, and shift performance. AI Ethics & Internal Adoption: Google’s internal AI mandates highlight ongoing tensions between innovation, employee trust, and past AI ethics controversies. Agent Security Risks Grow: OpenClaw’s rapid adoption led to “30,000 compromised installations,” exposing how vulnerable agent ecosystems and marketplaces remain. Reverse Recruiting Surges: Candidates paying for job‑hunting help reveals market vulnerability and the rise of predatory AI‑driven services. HR Tech Funding Accelerates: New capital flows to AI native platforms, cognitive assessments, integrations, and hyper‑local job boards signal where Work Tech innovation is heading. Learn more about your ad choices. Visit megaphone.fm/adchoices

    47 min

About

The WorkTech Podcast explores the critical trends shaping the future of work and HR tech. George LaRocque of WorkTech, drawing from years of advising top innovators, investors, and enterprises, guides you through market deals, issues, opportunities, and trends—all through a strategic, actionable lens.

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