MARKET COMMENTARY
Only the Doors That Actually Open
By Ric @ Jobric · September 2026
Here is the part that stings the most, and it has nothing to do with whether you are good at the job.
You find a role you could do well. You read the description twice. The stack matches, the years match, the location works. Then one question loads, or one checkbox, or one line in the application form, and it is over before a single human being reads a word you wrote. Not rejected on the merits. Rejected before the merits.
If you need visa sponsorship, you already know this feeling. I want to be precise about what is actually happening here, because most of the advice you get is either false hope or false despair, and you deserve neither.
The squeeze is real, and the cleanest numbers say so
Start with the figures that come from named, external sources, because those carry the weight.
On Handshake, the share of US job postings signaling visa sponsorship fell from roughly 10.9% to about 2.6%. That is not a rounding wobble. That is the pool of sponsors shrinking to a quarter of its former size.
The government-route data points the same direction, though the exact shape differs by country. In the UK, work-related visa grants are down 19% overall in the year ending December 2025, and 36% for the Skilled Worker route excluding health and care roles, per Home Office data. In Canada, new temporary foreign worker arrivals are down roughly 48% in 2025, per government data. Different countries, different mechanics, same direction.
So no, you are not imagining it, and no, it is not you. The number of doors marked "yes" got smaller. That part is true and worth naming plainly before we go anywhere near the hopeful part.
What our own listings show, and how to read it honestly
Now the first-party data, and I am going to label exactly what it counts so you can check my math.
Of 131,822 classified job postings in Jobric's market intelligence set:
~93.4% say nothing about sponsorship at all. Silent.
~5.9% explicitly refuse it. A stated no.
~0.7% explicitly offer it. A stated yes.
Look at that first number again. Nine out of ten postings do not tell you where they stand. That is the whole story, and it is why I need to be careful.
Here is the honest cut. If you look only at the postings that take any position, about 89.6% of them are a no. That sounds brutal, and among employers who bother to state a stance, it is.
But that denominator matters. That 89.6% is calculated on the ~6.6% of listings that say anything at all. It is not 89.6% of the market. The other 93.4% did not vote. They said nothing.
And this is the line I will not cross, because crossing it is exactly the trap: silent is not the same as no. A posting that says nothing about sponsorship has not refused you. It is unknown. Treating unknown as a rejection is how a search turns into despair, and the despair is not even accurate.
Why silence is the actual problem
Here is the cruelty of the 93.4%. It is not that all those doors are closed. It is that you cannot tell which ones are open.
A stated no is, in a strange way, a gift. It saves you the application. A stated yes is obviously useful. But the silent bucket gives you nothing to work with. You cannot separate the maybe from the never, so you end up spraying applications into a fog and calling it effort.
That is where the energy goes to die. Not into rejection. Into uncertainty. You spend your best hours writing tailored applications for roles that may have quietly required work authorization all along, and you will never find out which ones, because the merits never loaded.
The real cost is not the closed doors. It is the missing information about which doors are which.
How the filter reads you before a human does
Mechanically, this is straightforward, and it is worth understanding so you stop taking it personally.
Most applications ask a work-authorization question early. Many systems apply knockout rules to that answer, which means the form itself can end your application before anyone reviews it. Layer keyword screening on top, and for a candidate who needs sponsorship, these compound. The filter reads your authorization status and stops. Your experience is still sitting in the file, unread.
AI is part of this picture, and I want to be directional rather than dramatic about it. SHRM's 2026 survey work puts AI use at roughly 27% of organizations in recruiting specifically and about 39% across HR functions overall. That is meaningful and growing. It is not "robots reject 75% of resumes," a line that gets repeated online and does not survive contact with the actual research. The point is simpler: more of the early screen is automated, and automated screens are exactly where a checkbox ends things.
The fix is fewer applications, not more
If the problem is that you cannot tell open doors from closed ones, then the answer is not to knock on more doors faster. It is to stop spending applications on doors you cannot see into.
This is the one thing I will point you toward, because it is the actual shape of the solution. Jobric surfaces roles by fit and flags sponsorship stance where it exists, so you can aim. Instead of firing applications into the silent 93% and hoping, you concentrate your effort on the roles that have signaled they will actually sponsor, or that fit you so well the conversation is worth starting.
That is the whole move. Fewer, aimed applications beat more, blind ones, and for a visa candidate the math is even more lopsided, because your cost per wasted application is higher than almost anyone else's.
The free Seeker plan gives you your top three matches on a weekly refresh. It is a real plan, not a trial. If you want to see what aiming instead of spraying feels like, that is where to start.
What this data does not tell you
I owe you the limits, because that is the whole point of reading anything without the hype.
Our stance read is a snapshot of what employers have stated. It is not a promise that any particular company will sponsor any particular role this year. Policies shift, budgets shift, a "yes" in a job description is not a signed offer. Use the signal to prioritize, not to guarantee.
And when you see figures like the modeled $240B to $481B in GDP tied to restricting skilled migration, treat those as projections from a model, not a measured loss anyone has counted. They point at scale. They are not a receipt.
Where this heads
As long as most employers stay silent, and as long as most of the ones who do speak say no, the edge for a visa candidate is not volume. It is targeting. Better disclosure would help everyone here, employers included, because silence wastes their time too. Until that arrives, your advantage is spending each application where it can actually land.
You are not applying to fewer jobs because you gave up. You are applying to fewer jobs because you finally know which ones can say yes.
That's the update. Now go do something that isn't job searching.
Ric @ Jobric
Sources
CNBC Make It, "Barriers grow for international students seeking U.S. jobs" (May 24, 2026) — Handshake data: US job postings signaling visa sponsorship fell from 10.9% (2023) to 2.6% (2026). Free. https://www.cnbc.com/2026/05/24/for-international-students-seeking-us-jobs-the-american-dream-is-collapsing.html
UK Home Office / GOV.UK, "Why do people come to the UK? Work," Immigration system statistics, year ending December 2025 — work-related visa grants down 19% overall (36% for Skilled Worker excluding Health & Care) year-on-year. Free. https://www.gov.uk/government/statistics/immigration-system-statistics-year-ending-december-2025/why-do-people-come-to-the-uk-work
IRCC / Canada.ca, "CIMM – Temporary Resident Targets" (December 4, 2025) — new temporary foreign worker arrivals down approximately 48% in 2025. Free. https://www.canada.ca/en/immigration-refugees-citizenship/corporate/transparency/committees/cimm-dec-04-2025/temporary-resident-target.html
Jobric Market Intelligence, 131,822 classified postings — 93.4% silent, 5.9% explicitly refuse, 0.7% explicitly offer; 89.6% of stance-stating postings are a no. Internal, not externally sourced.
SHRM, "The State of AI in HR 2026" (survey of 1,722 HR professionals, fielded Dec. 5–23, 2025; published March 31, 2026) — 27% of organizations use AI in recruiting; 39% currently have AI adopted across HR overall. Free. https://www.shrm.org/topics-tools/research/state-of-ai-hr-2026/full-report
Peterson Institute for International Economics, "Class Dismissed: The Effect of International Student Exclusion on the US STEM Workforce and Economic Growth," Policy Brief 26-10 (Clemens, Neufeld, Nice, 2026) — modeled projection of $240B–$481B in annual US GDP loss within a decade from a sustained one-third reduction in international STEM graduates. Free. https://www.piie.com/publications/policy-briefs/2026/class-dismissed-effect-international-student-exclusion-us-stem







