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Made with🧉in🇦🇷🇺🇸byDraidel

Field report · v1 · June 2026

The Future of Work

As of July 2026 · global labor market · always free

The ladder is breaking. Proof of skill is the new currency.

The apprenticeship rung that turned juniors into seniors is being automated at the bottom. That doesn't make people obsolete — it makes demonstrated capability, not years on a résumé, the thing worth hiring on. This is the bet Diiirect is built on, said out loud.

Prove your skill

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What's changingfig. 0102 / 08

AI automates tasks, not people.

The net jobs math is still positive — the World Economic Forum projects 170 million new roles against 92 million lost by 2030, a net gain of 78 million. The money is following: even as tech cut roughly a quarter-million jobs across 2024–25, the largest cloud builders earmarked $660–690 billion of 2026 capital spending, much of it for AI — hiring isn't leaving, it's repricing. What shifts underneath the total is the shape of work: AI compresses the experience curve, so the same output now needs fewer hands at the bottom and more judgment at the top.

fig. 01— live market pulse
roles tracked
18
open postings
4,553

From the diiirect Talent Index

18

roles tracked

4,553

open postings

The hard partfig. 0203 / 08

The bottom rung is thinning.

Hiring demand is tilting senior. Indeed's Hiring Lab finds junior postings down about 7% year over year while senior ones rose ~4%, and the share of tech roles asking for 5+ years climbed from 37% to 42% after ChatGPT shipped. The youngest workers in the most AI-exposed jobs are the ones feeling it. What nobody can yet prove is the cause.

fig. 02— new postings per week
14 new · week of Jul 20

New postings · per week · most in-demand role in the diiirect Talent Index

The cause is contested. The squeeze is not.

One read: it's AI2Another read: it's remote work4
the read

Stanford finds a 13–16% relative employment decline for 22–25-year-olds in the most AI-exposed jobs since late 2022 — while older workers in the same roles held steady.

The New York Fed logs recent-graduate underemployment at 42.5% — a post-2020 high — and attributes much of the young-graduate squeeze to remote work, not AI: firms stopped hiring trainees who need in-person mentoring.

We publish with both, because honesty about what we don't know is the whole point of a field report.
The premiumfig. 0304 / 08

Seniority is paid for judgment AI can't yet own.

As the rung thins, the gap between levels widens. Here's what the levels actually pay on Diiirect — accountability, taste, and the ability to be wrong in expensive ways still command a premium.

fig. 03— comp by seniority
p25
$113,700
median
$125,000
p75
$155,825

Typical compensation by level · Market data

  • All levels
  • Junior
  • Mid
  • Senior
  • Lead
The answer05 / 08

When tenure stops being a signal, proof takes its place.

If the apprenticeship that used to season juniors is automated away, years-of-experience stops telling you who can do the work. What replaces it is demonstrated, assessed skill. That's what Diiirect is for: we re-credential capability for an AI world, so overlooked talent can prove it and great teams can find it.

Get assessed

Supporting currents06 / 08

Three shifts pulling the same direction

i You hire judgment × AI-leverage

Talent now arrives pre-amplified — 75% of knowledge workers already use AI at work, most bringing their own tools. You're no longer buying labour-hours; you're buying judgment, multiplied.

ii Work decouples from geography

For AI-augmented knowledge work, where someone sits matters less than what they can prove — widening the pool to the best person, not the nearest.

iii Engagement gets flexible

Hire in whatever shape fits — direct, agent-of-record, or employer-of-record — compliantly, across borders, without rebuilding your back office.

The data & sources07 / 08

Where this comes from

The live numbers above are from the diiirect Talent Index — built from live postings and official statistics. The macro claims are sourced from independent research — explore the instrument and the methodology behind our data, or read the originals.

  1. [01]WEF — Future of Jobs 2025Net +78M jobs by 2030 (170M created, 92M lost); 40% of employers expect AI-driven cuts.www.weforum.org/publications/the-future-of-jobs-report-2025
  2. [02]Stanford — Canaries in the Coal MineA 13–16% relative employment decline for the youngest workers in the most AI-exposed jobs.digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence
  3. [03]Indeed Hiring Lab — Experience requirementsJunior tech postings down ~7% YoY; 5+ years now demanded by 42% of roles, up from 37%.www.hiringlab.org/2025/07/30/experience-requirements-have-tightened-amid-the-tech-hiring-freeze
  4. [04]New York Fed — Recent GraduatesRecent-grad underemployment at 42.5% — the case that remote work, not AI, drives much of it.www.newyorkfed.org/research/college-labor-market
  5. [05]McKinsey — State of AI65% of firms now use gen-AI in a function; hiring shifts to skills over credentials.www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
  6. [06]IMF — AI & the Future of WorkAbout 40% of jobs worldwide are exposed to AI — roughly half augmented, half at risk.www.imf.org/en/blogs/articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity
  7. [07]OECD — Future of WorkPolicy frame on AI and automation exposure across economies.www.oecd.org/en/topics/future-of-work.html
  8. [08]US BLS — Employment ProjectionsOfficial occupational growth and decline projections.www.bls.gov/emp/data/occupational-data.htm
  9. [09]Anthropic Economic IndexOpen, task-level data on how AI is actually used at work.www.anthropic.com/news/the-anthropic-economic-index
  10. [10]Microsoft — Work Trend Index75% of knowledge workers use AI at work; most bring their own tools.www.microsoft.com/en-us/worklab/work-trend-index/ai-at-work-is-here-now-comes-the-hard-part
  11. [11]Crunchbase — AI funding 2025AI took ~$211B — about half of all venture — in 2025; the Bay Area drew ~60%.news.crunchbase.com/ai/big-funding-trends-charts-eoy-2025
  12. [12]Layoffs.fyi — Tech layoffs trackerLive tracker of tech layoffs — the cuts running alongside the capex boom.layoffs.fyi

Diiirect data reflects our marketplace, not the whole economy. We show texture and recency; the institutions below carry the macro picture.

Coming next: live surfacing and declining roles across the marketplace, and the junior-versus-senior demand split over time.

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Hire the proof, not the pedigree.

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