The tech talent shortage persists in a cooling market because the market split rather than slowed. Postings for general software roles sit far below 2020 levels while AI, security, and infrastructure specialisms expand. Application volume rose; qualified supply for scarce roles did not.
The contradiction is real and it is measurable. Companies report receiving hundreds of applications per posting while senior roles sit open for months.
The clearest statement of it comes from The Pragmatic Engineer’s survey of 50-plus hiring managers and job seekers: hiring managers report that highly skilled senior engineers are not available to recruit, at exactly the same time as experienced, proven professionals find their applications going into a void.
Both groups are telling the truth. Here is why, and what to do about it. Rise92 operates at the scarce end of this market through curated sourcing.
Seven reasons, in short
| # | Reason | What it means for you |
| 1 | The market split rather than slowed | The half you hire from never cooled |
| 2 | More applications, not more qualified people | Volume metrics mislead completely |
| 3 | Experience bars tightened everywhere at once | Everyone competes for the same narrow band |
| 4 | Layoffs did not release who you want | Cuts follow restructuring, not performance |
| 5 | Skills are not transferable overnight | Displaced people cannot fill expanding roles |
| 6 | The junior pipeline was cut in 2023 | Seniors take years to produce |
| 7 | The strongest people never entered the market | They are employed and not applying |
1. The market split in two, and the half you are hiring from never slowed
This is the single most important fact, and most hiring plans still assume a single market.
Indeed Hiring Lab data, reported across the industry, shows overall US tech job postings roughly 36% below their February 2020 baseline. General software engineering sits around 49% below. Meanwhile, machine learning engineer postings are up 59% over the same period, and security roles reached 66,800 postings, up 124%.
Only about 19% of all tech job titles have exceeded their early-2020 posting levels, meaning the large majority of traditional roles remain in contraction while a minority expands sharply.
What this means practically: if your open role sits in the expanding minority, you are hiring in a tight market regardless of what the headlines say about layoffs. The cooling is real, it is just happening somewhere other than where you are recruiting.
The time to fill consequence is stark. Reported figures put specialised senior engineers at two to four weeks, while generalist senior roles without a current specialty run two to four months. A separate analysis puts average time to fill for senior technical positions at 68 days, with AI and ML roles reaching 89 days.
That is a fourfold spread between two roles that look similar on an org chart. One hiring process cannot serve both.
2. More applications do not mean more qualified applicants
Application volume per posting has risen sharply. Hiring teams read that as abundance and plan accordingly.
Why the inference fails: the people applying in volume are disproportionately those affected by contraction in the shrinking half of the market, while the roles you are struggling to fill sit in the expanding half. The applicants and the vacancies are not the same population.
What this does to your metrics:
- Applications per posting rises, suggesting a healthy funnel
- Application-to-interview conversion falls, suggesting poor applicant quality
- Time to fill extends, suggesting a process problem
- None of those three tells you the actual cause, which is composition
The practical adjustment: stop tracking application volume as a health signal for scarce roles. It measures the market you are not hiring in.
3. Experience bars tightened everywhere at the same time
Companies responded to cost discipline predictably: they stopped hiring people who need developing and started hiring only people who can contribute immediately.
The shift is visible in the posting mix. Entry-level postings fell from 8.1% to 7.4% of the IT job mix year over year, while senior-level postings climbed from 38.8% to 43.1%.
Why this creates scarcity rather than relieving it: every company made the same adjustment simultaneously. The result is that the entire industry now competes for the same narrow band of immediately productive senior people, while the band below it goes unhired.
The honest framing of the tech talent shortage: there is no general shortage. There is a severe shortage of people who meet simultaneously tightened bars at hundreds of companies that all raised them in the same quarter.
4. Tech layoffs did not release the people you want
The intuitive assumption is that large-scale cuts put strong engineers back in the market. The assumption is partly wrong, and worth examining.
First, the numbers themselves do not agree. Published figures for 2026 layoffs vary considerably depending on source and period:
| Figure | Period | Source cited |
| 52,050 | Q1 2026 | Challenger, Gray & Christmas, via KORE1 |
| 78,557 | Q1 2026 | Challenger, Gray & Christmas, via Second Talent |
| 95,878 | Year to date | Industry tracking, via GigsRemote |
| 142,985 | Through May | Industry tracking, via Jobs by Culture |
Treat any single layoff figure with caution, including the ones above, since definitions of what counts as a tech layoff differ substantially between trackers.
Second, cuts follow restructuring rather than performance. Roles are eliminated because the business unit underneath them is being wound down, not because the people in them were weak. But the reverse is also true: a reorganisation does not reliably surface the specific senior specialist you need, in the specialism you need, at the moment you need them.
Third, displaced people move fast when they are in demand. Reporting suggests most displaced engineers find new roles within 30 to 60 days, with senior placements moving considerably faster. If you are waiting for a strong senior specialist to become available, someone else has already hired them.
5. Skills are not transferable overnight
This is the mechanism underneath the whole paradox, and it is the one companies most want to wish away.
Companies cannot simply reallocate headcount from contracting roles to expanding ones, because the skills do not transfer on a useful timescale. A capable engineer displaced from a shrinking area can learn a new specialism, but not in the quarter you need them.
What that produces: a market with genuine surplus in one place and genuine scarcity in another, with no efficient mechanism to move between them. Both can coexist indefinitely, which is why the headlines contradict each other and both sets are accurate.
The internal version of this problem: the same logic applies to redeploying your own people. Retraining is the right long-term answer and a poor short-term one.
6. The junior pipeline was cut, and seniors take years to make
Here is the part that compounds.
Senior judgment has historically been produced by years of supervised practice. Cutting the intake that produces it does not show up as a problem for two or three years, and then it shows up permanently.
The additional pressure: reporting suggests senior developer retirements are removing a meaningful share of experienced people from the active market, which tightens the band further from the top while the bottom stays closed.
What this means for planning: the scarcity in senior engineering roles is structural rather than cyclical. It will not resolve when the market improves, because the cohort that would have resolved it was never hired.
The strategic implication most companies will not act on: organisations that keep developing juniors now will hold a scarce resource in five years. The payback is long enough that most will not make the bet.
7. The strongest people were never in the market at all
The reason that persists through every cycle, and the one least affected by market conditions.
Senior engineers performing well in roles they like are employed, well compensated, and not applying anywhere. They do not appear in your application volume in a tight market or a loose one. A cooling market changes the behaviour of people who are searching, and most of the people you want are not searching.
Why outreach fails at this end of the market: everyone is sending it. Response rates to generic cold outreach are low precisely because the inbox of a strong senior specialist is full of near-identical messages.
What actually reaches them: a referral chain, or someone with an existing relationship. This is why the sourcing method matters more than the market condition, and it is the basis of off-market sourcing through closed networks rather than broader advertising.
What to do about it
Seven adjustments, roughly in order of how quickly they pay off.
Diagnose which half of the market your role sits in. Before anything else, establish whether you are hiring in the contracting or expanding half. The two need different processes, different timelines, and different expectations, and running one process for both guarantees failure on the scarce roles.
Set separate time to fill expectations by role type. A four-week target for a specialised senior role and a four-week target for a generalist role cannot both be realistic when the observed spread is fourfold.
Stop treating application volume as a signal. For scarce roles, it measures a different market. Track source mix instead, meaning what proportion of your hires come from inbound, referral, and direct sourcing.
Move faster where you can. Where competition is concentrated, speed is the controllable variable. Decide within a week of the final conversation.
Loosen the role definition where the specialism is genuinely scarce. Reporting suggests wider nets, flexible role definitions, and contract options are what work for hard-to-fill generalist senior roles, and the same flexibility helps at the specialist end.
Consider contract-to-hire for senior technical roles, which is reportedly becoming a default in this market because it lets both sides reduce risk when permanent commitment is difficult to secure.
Reopen the junior pipeline if you can afford to. It is the only durable answer to a structural senior shortage, and almost nobody is doing it.
What this costs
The cost of a persistent vacancy rarely appears as a line item, which is why it gets tolerated.
| Cost | Where it lands |
| Extended vacancy on a specialist role | Delivery slips, the existing team absorbs the work |
| Settling for an available alternative | Replacement cost when it does not work out |
| Interviewer time across a long search | Senior capacity consumed on repeated loops |
| Competing on compensation alone | Permanent uplift to the whole band, not just the hire |
The comparison worth running: the total landed cost of filling a scarce role quickly through a network route, against the cost of three additional months of vacancy plus the internal time spent searching. Headline fee is the smallest term in that equation. The breakdown sits in transparent pricing.
The geographic dimension: the expanding specialisms are not concentrated in high-cost markets. Pakistan market data counts 300,000+ export-ready engineers across AI, cybersecurity, blockchain, and cloud. The honest qualification is that senior production depth in AI specifically is thinner than headline figures suggest, which makes sourcing methods more important rather than less.
Frequently asked questions
Both are true because the market is split. Overall tech postings sit roughly 36% below their 2020 baseline while machine learning roles are up 59% and security roles up 124%, which means contraction and scarcity are happening simultaneously in different specialisms. There is no general shortage, but there is a severe one in the expanding half.
Because applicants and vacancies are drawn from different halves of the market. Application volume rises from people displaced by contraction, while the open roles sit in specialisms those people cannot move into quickly. Reported time to fill now varies by roughly a factor of four between specialised and generalist senior roles.
Less than you would expect. Cuts generally follow business restructuring rather than performance, so they do not reliably surface the specific specialist you need, and displaced engineers in demand are reported to find new roles within 30 to 60 days. Published layoff totals also vary widely between trackers, so treat any single figure cautiously.
Experience bars tightened across the industry at the same time, concentrating competition on a narrow band of immediately productive people. That band is also being depleted from the top by retirements and not replenished from below, because many of the companies now competing for seniors stopped hiring juniors in 2023. The resulting scarcity is structural rather than cyclical.
What to take from this
The choice is narrower than the marketing suggests. Establish whether the person is an employee or a genuine contractor, establish whether you own a local entity, and five of the six options usually eliminate themselves.
Then model total cost per country rather than comparing provider fees, because statutory variation dwarfs fee variation.
And keep the sourcing decision separate from the employment decision, because conflating them is how companies end up paying an ongoing percentage for something a one-time arrangement would have covered.
To work through which structure fits your situation, get in touch.
The short version
The market did not slow down. It divided.
If you are hiring in the contracting half, you have abundant applicants and a straightforward problem. If you are hiring in the expanding half, you are competing against every other company that tightened its experience bar in the same quarter, for a cohort that is shrinking from the top and not being replaced from the bottom.
Those two situations need different processes, different timelines, and different sourcing methods. Running one plan for both is why hiring feels broken even when the headlines say the market has cooled.
To work through which half your open roles sit in, get in touch.
