Phantom leverage, the availability window, and why senior technical hiring got harder in the strongest labor market since 1969.
Two numbers were published this month. Tech layoff trackers put 2026 year-to-date reductions at roughly 170,500 people across about 480 separate events, an average of more than 800 job losses every day since January. In the same window, initial jobless claims fell to 187,000 for the week ending July 18, the lowest reading since 1969, before rising to 197,000 the following week with the four-week average at 202,750.
Most executives have absorbed the first number and not the second. That asymmetry is shaping hiring behavior across the market right now, and it is producing a specific and expensive error. The layoff figure describes a real market. It does not describe the market most companies are actually hiring in.
The Bureau of Labor Statistics put May job openings at 7.6 million, hires at 5.2 million, quits at 3.1 million, and layoffs and discharges at 1.7 million. Every one of those was flat or close to it. The low-hire, low-fire pattern that has defined the past two years held again.
The segment-level data tells a different story. The information sector, which houses most technology employment, has seen its quits rate fall to 1.1 percent, down from 1.9 percent in May 2022. Information job openings were down 33 percent year over year as of March, the steepest decline of any private sector.
Put the claims data and the quits data together and the picture sharpens considerably. Talent reaches the open market through two channels: involuntarily, when people are pushed out, and voluntarily, when people choose to move. Claims at a 57-year low mean the first channel is close to shut. A 1.1 percent quits rate in the information sector means the second one is too. In the exact segment where AI, machine learning, and data infrastructure hiring happens, both taps are constricted at the same time.
We call this a zero-float market. In a market with float, some number of qualified people sit available and unclaimed at any given moment. That inventory is what makes a deliberate, multi-week hiring process possible. It is what allows a company to interview four candidates and pick the best one. Right now, in senior technical hiring, it barely exists. No aggregate statistic displays this, because aggregates average a frozen segment against churning ones and report the middle.
Phantom leverage is the gap between the market an executive believes they are hiring in and the market their requisition actually sits in.
The mechanism is straightforward. A CTO reads that 170,500 technology workers have been cut this year, concludes reasonably that this is a buyer’s market, and behaves accordingly. They hold out for the ten-out-of-ten profile. They add an interview round. They take an extra week on the debrief. They decline to move on compensation because they assume someone else will accept. Every one of those decisions is rational if a surplus exists. Every one of them is costly if it does not.
The reason the surplus does not exist for these roles is that the population being cut and the population being demanded are largely different job families. Layoff trackers show reductions concentrated in customer support, content moderation, data entry, quality assurance, and generalist software engineering. Demand is concentrated in AI, machine learning, and data infrastructure. ManpowerGroup’s 2026 Global Talent Shortage Survey, covering 39,063 employers across 41 countries, found AI skills the hardest to fill globally for the first time in the survey’s history.
There is a second layer to this that gets missed. Challenger, Gray and Christmas found AI cited in roughly 40 percent of May’s announced cuts, up from 7 percent in January. The companies announcing reductions are, in many cases, the same companies bidding most aggressively for AI and data talent, because the cuts are funding the bids. A layoff announcement from a major technology employer is therefore not a signal that supply has loosened. It is frequently a signal that a large, well-capitalized competitor has just freed budget to compete for the same person you are trying to hire.
Phantom leverage becomes expensive through a single mechanism: the availability window.
Every candidate has one. It is the period between the moment they become genuinely open and the moment they commit somewhere else. In a market with float, that window runs weeks or months. In a zero-float market, it runs days.
First, doubled time-to-hire is measuring restarts, not duration. If the availability window is two to three weeks and the hiring process runs six, the company does not run one slow search. It runs three failed ones and reports the total as a single elapsed time. The diagnostic matters because the fix is different: if time-to-hire has doubled while stage-to-stage conversion held steady, the problem is process length, not sourcing quality. Adding pipeline to a restart problem produces more restarts.
Second, the ten-out-of-ten standard has become a speed tax. When float exists, holding out for the ideal profile costs very little, because the next candidate arrives while the current one waits. When it does not, the next candidate is not better. The next candidate is simply later, and the one who was passed over is already employed elsewhere. This is not an argument for lowering the bar. It is an argument for deciding at the bar faster, which is a different and more solvable problem.
Third, hiring latency now surfaces as roadmap slippage. Robert Half found 71 percent of technology leaders reporting that skills shortages caused project delays in the past year, and 49 percent reporting projects cancelled outright. AI integration was the most affected initiative at 64 percent, followed by security at 60 percent and software engineering at 52 percent. That translates hiring speed into a number the CFO already tracks, which is usually the point at which the conversation changes.
The labor market data every executive reads describes the market they are not hiring in. Aggregate employment statistics are averages, and averages conceal precisely the thing that matters when a market has split into segments moving in opposite directions. The discipline required now is not consuming more data. It is asking, of any given number, whether it was drawn from the population you are actually recruiting from. Most of the time it was not.
What happens next is genuinely open. If quits rates recover, float returns and longer processes become affordable again. If they hold near current levels, the availability window stays short and the restart penalty compounds each quarter. Neither outcome is predictable from here. What is decidable now is process design, and that decision does not require knowing which way the market breaks.
For the first time in 18 to 24 months, candidates in our searches are consistently holding multiple competing offers. We have had candidates accept an offer and then call within a week of their start date to say they received a significantly larger one elsewhere. We had not seen that behavior since 2023. Our outreach now regularly returns a single reply: “I just started something new last week.”
Two client-side patterns are compounding it. Many clients are declining to consider candidates who require visa sponsorship, which narrows an already thin pool as a matter of observable market effect. And nearly all of them are now competing, whether they recognize it or not, against AI-first companies whose compensation and brand advantages most mid-market and PE-backed businesses cannot match directly.
A candidate who takes a better offer six days before their start date is not a character problem. It is a market with no slack in it, and the counterparty had six days to work with.
Our own numbers register the same pressure. We have been running a 33-day average time to fill, against a SHRM benchmark closer to 44 days. That gap is the whole argument in miniature. A process built specifically to close inside the availability window still finishes ahead of the market, and it has still absorbed real elapsed time this year. The window is not a client-side failure of discipline. It is a market condition, and it shows up in everyone’s numbers, including ours.
The companies filling senior technical roles right now are not the ones with the largest pipelines or the highest compensation bands. They are the ones whose decision process fits inside the availability window. That is a design choice, and it is available to any organization willing to make it. If you are running a search that has restarted more than once this year, the constraint is worth examining before the next requisition opens.
Verticalmove is a strategic talent consulting partner that helps organizations solve business problems related to talent attraction, selection, and retention. We work with PE-backed, venture-backed, mid-market, and enterprise companies to design talent strategies, strengthen leadership teams, and build the workforce capabilities required to achieve critical business objectives. When growth stalls, transformation accelerates, or organizational priorities shift, talent is often the constraint. We help companies identify, attract, assess, and retain the people who create competitive advantage.