AI Job Market 2026: The Data Speaks
We analyzed 2,690 active remote job listings. Is AI really replacing workers? Our live database reveals the surprising answer.
By Kelvin Desman · ·
We collected 2,049 job listings. Six findings comparing local IT jobs vs global remote — what the gap looks like and what to do about it.
We collected 1,039 local IT job listings from major job boards. Then we pulled 1,010 global remote tech jobs from our own database of verified global sources — Contra, WWR, RemoteOK, Remotive, HN Who's Hiring, Adzuna, The Muse, and others. We enriched 199 local listings with full job descriptions and ran the comparison.
What follows is what the data shows — six findings, all from our own dataset. We've added external research context where it helps, but the core signal is from 2,049 real job postings from May 2026.
The findings are specific. They're actionable. And some of them are surprising.
What this is: Primary data analysis of 2,049 job listings collected in May 2026. Not a peer-reviewed study — no confidence intervals, no random sampling guarantee, one enriched subset of 199 listings. Methodology, classification rules, and limitations are documented in full at data notes →. If you plan to cite a specific figure, read the limitations section first.
Of the 199 local IT listings we enriched with full job descriptions, 24 — 12.1% — are IT Support roles: helpdesk, technical support, end-user support, IT operations. These are real jobs, actively posted by real companies today.
In our 1,010 global remote listings, IT Support appears exactly zero times.
| Market | IT Support % | Sample |
|---|---|---|
| Local | 12.1% | 24 of 199 enriched listings |
| Global remote | 0% | 0 of 1,010 listings |
This doesn't mean IT Support workers globally have disappeared. It means the global market has consolidated or automated enough of this function that companies no longer post these roles publicly on job boards. Cloud providers automated provisioning. Remote monitoring tools automated incident detection. AI tools automated first-level ticket resolution.
Local markets are roughly 2–3 years behind that curve based on when the global market stopped posting IT Support as a standalone role. Companies here are still posting the category. When they catch up — and they will — a significant portion of local IT's current job supply disappears.
"The global market has already moved past IT Support as a standalone role. Local markets haven't."
Local IT Support listings (May 2026): PT. Daikin Applied Solutions (IT Support Engineer), PT Inter Aneka Lestari Kimia (IT Support Staff), PT Bumi Konawe Minerina (IT Support & Asset Administrator). Global remote search for "IT Support" returns zero results — the category does not exist as a standalone role in global remote hiring.
If you're in IT Support today, the data is not saying you're already displaced. It's saying the path ahead requires moving toward the engineering and infrastructure side of the spectrum before the market catches up.
The largest single "category" in local IT job listings is "other" — roles that don't map to software development, data/AI, infrastructure, security, IT support, sales, or management. 33.7% of listings — 67 out of 199 — fall here.
| Market | "Other" / unclassifiable % |
|---|---|
| Local | 33.7% (67 of 199) |
| Global remote | 0% |
These roles are real. They include titles like: IT Project Coordinator, Digital Transformation Officer, IT Governance Staff, ERP Functional Consultant, ICT Procurement Specialist, IT Business Analyst, Technology Risk Officer. Mixed-function, generalist, ops-adjacent.
They exist because of org structures that remote-first global companies don't build. Local enterprises create cross-functional IT roles that blend procurement, governance, project management, and operations — functions that global remote companies separate into distinct specialist roles or automate entirely.
The problem: these roles have no global equivalent. If you're in this category, there's no direct path to a global remote equivalent. The pivot requires extracting the core transferable function from your current role — project management, data, operations, risk — and moving toward the specialist version of it.
| Market | Software Dev % of IT listings |
|---|---|
| Local | 8% |
| Global remote | 45% |
That gap — 5.6× — is not about local developers not existing. It's about how local companies organize IT work. The 33.7% "other" category and the 12.1% IT Support category are filling slots that global companies fill with individual contributor software developers.
Local developers are hidden inside IT project coordinator roles, IT governance teams, and ERP functional consultant positions. The global market surfaces them explicitly. Local boards don't.
Role distribution comparison:
| Role | Local | Global Remote |
|---|---|---|
| Software Dev | 8% | 45% |
| Management | 23.6% | 43.2% |
| IT Support | 12.1% | 0% |
| Infrastructure | 9% | 6.9% |
| Data / ML / AI | 2% | — |
| Other (unclassifiable) | 33.7% | 0% |
The practical implication: if you're a developer locally currently doing 30% dev and 70% cross-functional coordination inside an enterprise IT team, the global market will see you as the coordination role — not the dev role. The resume needs to surface the technical work explicitly.
| Skill | Local rank | Global rank |
|---|---|---|
| Python | #6 | #5 |
| AWS | #4 | #6 |
| CI/CD | #16 | #13 |
| Kubernetes | #20 | #7 |
Python (#6 locally, #5 globally) is the clearest bridge. Strong locally (enterprise scripts, automation, data work in local companies) and strong globally (the language of data science, AI tooling, and modern backend development).
AWS (#4 locally, #6 globally) appears in both markets for different reasons — local enterprises moving to cloud, global companies building cloud-native infrastructure. Local AWS experience is transferable.
CI/CD (#16 locally, #13 globally) and Kubernetes (#20 locally, #7 globally) both appear in both markets. Kubernetes is notably more prominent globally (7th vs 20th) — investment in it pays disproportionately more in the global market.
Based on the six findings above:
| At-risk category | → | Move toward |
|---|---|---|
| IT Support (12.1% local, 0% global) | → | Cloud / DevOps / Infrastructure |
| "Other" generalist IT (33.7%) | → | Data Analyst / Product Ops / AI Ops |
| Local developer (8%) | → | Python / TypeScript / modern stack |
| Junior / entry-level (14.6% local) | → | AI-augmented mid-level IC with portfolio |
| Local manager / lead | → | Global PM / EM roles (43.2% of global) |
Global tech adoption doesn't skip markets — it lags them. Our May 2026 dataset captures local markets at a specific point in this curve.
2015–19 — Enterprise IT expansion, Java & SAP era: Local enterprises adopted ERP systems at scale. Java becomes the dominant skill. IT Support roles proliferate as companies modernize internal infrastructure. The "other" generalist IT category expands to handle cross-functional org needs.
2020–22 — Cloud migration begins: Local companies start cloud migrations. AWS appears at #4 and Azure at #2 in our dataset. The bridge skills start forming. Remote work briefly spikes during COVID but reverts locally — remote appears in only 4.5% of local listings today.
2023–25 — AI automation reaches IT Support globally: Global companies stop posting IT Support roles as AI tools automate tier-1 support. The category vanishes from global remote boards. Local markets still post it actively — our data shows a 2–3 year structural lag.
2026 NOW — The bridge window is open: 12.1% IT Support locally vs 0% globally. 8% dev locally vs 45% globally. 33.7% unclassifiable locally vs 0% globally. Python and AWS are in both markets. The divergence is at its widest — and the path across it is measurable.
2027–29 (projected) — Local market converges: As AI tooling adoption reaches local enterprises, IT Support and generalist IT roles compress. Developers who retool now are ahead of the compression curve. The window narrows as local market demand shifts.
Local IT jobs are typically focused on supporting local businesses and organizations, while global remote jobs are focused on working with companies and clients from all over the world.
To increase your chances of getting a global remote job, focus on developing in-demand skills such as Python, AWS, and CI/CD. Also, make sure your resume and online profiles are up-to-date and highlight your technical skills and experience.
The future of IT Support roles in the global remote market is uncertain, as AI tools and automation are increasingly being used to handle tier-1 support tasks. However, there will still be a need for human IT Support specialists to handle more complex issues and provide high-level technical support.
Yes, many companies hire remote software developers, and it's possible to work from anywhere in the world as long as you have a stable internet connection and the necessary skills and experience.
You can start by searching for global remote job listings on websites such as lokerdollar.com, and by networking with other professionals in your industry who work remotely.
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