19.2 million layoffs a year. Billions in wasted cost. No direct competitor solving it. Here's the market data.
Approximately 1.6 million workers are laid off each month in the US, translating to roughly 19.2 million annually. The most common average severance package at US-listed companies runs about $40,000 per employee, and that's before hidden costs. After a layoff, companies can lose more than $50,000 a month in productivity for every 100 employees remaining. The total addressable market for a platform that meaningfully reduces those costs runs into the billions annually.
Global HR tech investment is up 60% year-over-year, with AI driving major deals and market consolidation. Improved macroeconomic factors and pent-up demand are expected to lead to a surge of funding and M&A activity. Marketplace job boards and talent platforms remain one of the top investment categories in the entire HR tech sector, described by analysts as "a space where investors could find some incredible gems."
A study published March 5, 2026 by Anthropic researchers introduces a new framework for measuring AI's real-world impact on the labor market. The findings are striking, and they paint a clear picture of where workforce displacement is heading.
Workers in the most AI-exposed occupations are more likely to be older, female, more educated, and higher-paid. The displacement risk is not hitting entry-level workers first. It is hitting experienced professionals. Exactly the people a hiring company wants to claim.
These are not low-value roles. They are skilled, in-demand positions, the kind of talent that moves fast on a marketplace when given the chance.
The Bureau of Labor Statistics projects weaker employment growth in the occupations most exposed to AI. The talent transition wave is not hypothetical. It is already showing up in long-range forecasts.
There is early evidence that companies are pulling back from hiring in AI-exposed occupations. Experienced workers in those roles face increasing pressure. That pressure creates supply on The Waiver Wire.
The research finds no large-scale unemployment impact yet, meaning the displacement wave has not fully arrived. That is the ideal moment to build this platform. The Waiver Wire is designed to be established infrastructure before the wave hits, not a reaction to it.
Source: Massenkoff & McCrory, Anthropic (March 5, 2026). "Labor market impacts of AI: A new measure and early evidence."
The Anthropic research points to something most people haven't focused on yet. The workers most exposed to AI displacement are experienced, educated, and well-compensated. When their roles get restructured, that talent moves fast.
Companies that see it coming have a window. Get in front of that talent before it hits the open market, before the recruiter calls start, before LinkedIn knows anything.
That's what The Waiver Wire makes possible for the hiring side of the marketplace. The releasing company solves a transition problem. The hiring company gets a head start.
Most HR tech investment flows into either hiring tools or workforce management. Almost nothing addresses the transition moment: the gap between "we need to reduce headcount" and "we need to hire again." That gap is where The Waiver Wire operates. Talent marketplace platforms have been shown to decrease time-to-fill a position by up to 20 days, cut hiring costs by 3 to 5 times, and increase the available talent pool by over 6 times.
The Waiver Wire is a marketplace and a data asset that compounds over time. Every successful transition generates signal: which skills transfer across industries, which role types clear fastest, what compensation ranges close deals, which company types are most active on the hiring side. That proprietary dataset gets harder for any new entrant to replicate with every transaction.
The platform's AI capabilities span six phases of development:
AI surfaces relevant candidates to hiring companies automatically based on skills, experience, compensation range, and role requirements.
Releasing companies upload basic role information and AI generates a complete anonymized, skills-forward candidate profile, reducing listing friction and enabling scale.
AI scores likely fit between a candidate and a claiming company based on role requirements, company stage, industry, and culture signals, delivering a ranked shortlist rather than a browse experience.
Real-time market comp data helps both parties enter direct conversations with accurate expectations, reducing the time from introduction to offer.
Before listing, companies see data on how quickly similar profiles have been claimed historically and at what ranges, changing the internal HR conversation from uncertainty to informed decision-making.
AI monitors Glassdoor, LinkedIn, and public sentiment in real time, giving releasing companies a measurable before/after signal showing how Wire transitions protected their employer brand.
The data The Waiver Wire accumulates is itself a strategic asset. Platforms with proprietary transition datasets trained on real successful matches command acquisition premiums. The broader HR tech M&A trend is explicitly toward AI capabilities that offer durable competitive advantages, and a network-effect dataset built on real workforce transitions is exactly that.
The Waiver Wire runs on a hybrid pricing model that combines predictable recurring revenue with transaction upside. Companies pay a low base subscription for platform access and a success fee when an introduction results in a hire. No large upfront commitments. No cost for transitions that don't convert.
The take rate on each successful transition represents a fraction of what companies would otherwise spend on severance, recruiting fees, and lost productivity. Even at a conservative 5-10% take rate on the cost savings The Wire generates, the unit economics are compelling at scale.
The broader trend in HR tech M&A is toward creating holistic platforms that handle a wide array of HR functions from recruitment through offboarding. The Waiver Wire fills a gap no major platform currently owns. ADP's acquisition of WorkForce Software for $1.2 billion in Q4 2024 demonstrates the scale at which strategic buyers are operating. For context, Handshake, a talent marketplace focused on college recruiting, reached a $3.5 billion valuation having raised $434 million in total funding. The Waiver Wire addresses a comparable pain point at a larger scale.
The Waiver Wire was founded by Amanda Stonesifer, an HR professional with nearly 20 years of experience overseeing hiring at a law firm in Los Angeles. Amanda kept seeing the same problem from both sides of the desk. Great people stuck in the wrong role, or the wrong firm, with no clean way out. And on the hiring side, a frustrating inability to find serious, vetted candidates without sifting through hundreds of cold applications. She wanted a marketplace that worked the way the best professional networks actually work: warm introductions, verified backgrounds, and talent that was ready to move. The Waiver Wire is that marketplace.
We're currently in the early stages of building our founding company network. If you're an investor or strategic partner who wants to explore the opportunity, reach out directly.
This page is provided for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities. The Waiver Wire is a pre-revenue early-stage company. All market data is sourced from third-party publications and is believed to be accurate but is not independently verified.