LEADIY

AI / LLM opportunity demand data

AI / LLM appeared in 158 of 412 observed opportunities (38.3%) in the dated 2026-W36 edition. Categories are multi-label, so this is incidence—not market share or exclusive demand.

Observed through
Verified at
Edition
2026-W36
Sample
412 opportunities
Suppression
Published · n≥5
Budget outlier status
Review · 1 edition-wide group

What the AI / LLM measure says

AI / LLM appeared in 158 of 412 observed opportunities (38.3%) in the dated 2026-W36 edition. Each opportunity contributes at most one count to the AI / LLM bucket, even when the same label appears multiple times in its normalized technology fields.

AI / LLM measure in edition 2026-W36
MeasurePublished valueDenominator / rule
Observed opportunity count158n=412 observed opportunities
Incidence in sample38.3%Multi-label categories may overlap
Technology classification coverage408 / 412 (99%)Edition-wide QA context

Engagement context for the whole edition

Not filtered to AI / LLM

The source snapshot does not publish technology-by-engagement cross-tabs. These rows describe all 412 observed opportunities and must not be quoted as AI / LLM-specific buyer intent.

Edition-wide stated delivery preference
Stated preferenceOpportunitiesShare
Solo developer 36 8.7%
Company or agency 12 2.9%
Solo or company <5 Withheld
Not stated 362 87.9%

Budget context for the whole edition

Not filtered to AI / LLM

237 of 412 opportunities had a publishable comparable amount (57.5%). Currency and unit groups stay separate; fixed totals are not a market-size estimate.

Edition-wide comparable published amount groups
GroupComparable / raw nComparable medianComparable middle 50%Comparable fixed midpointRaw fixed midpointQA
USD · Fixed 197 / 198 $200 $50.00 — $1,000 $3,712,593 $20,003,712,593 Review · 1 excluded
USD · Hourly 22 / 22 $30.50 $25.00 — $42.88 Not summed Not summed Not flagged
EUR · Fixed 8 / 8 €83,923 €3,281 — €562,500 €2,323,110 €2,323,110 Not flagged

The dominant-upper-tail review is evaluated on observation-level amounts. Flagged values remain in the raw aggregate but are excluded from comparable medians, ranges and fixed totals. “Not evaluable” means this frozen fallback predates observation-level outlier metadata; it is not a clean result.

Bounded interpretation

The defensible statement is narrow: within the dated 2026-W36 sample, Leadiy classified AI / LLM in the published count shown above. The page cannot establish direction of change because this edition has no historical baseline. It also cannot establish exclusive technology choice because one opportunity can count toward several technologies.

What this page cannot answer

  • Technology categories are multi-label and may overlap; this is incidence, not market share.
  • The dataset does not publish technology-specific organization, engagement, budget, salary, duration, seniority, geography, or co-occurrence figures.
  • Edition-wide engagement and budget tables are context for the same sample, not filters for this technology.
  • A dated edition is a snapshot of observed sources, not a historical trend or forecast.
  • Aggregate outlier review is a QA flag, not a finding that an underlying opportunity is incorrect.

Cite, reproduce, or inspect

Leadiy. “AI / LLM opportunity demand — Leadiy Hiring Pulse 2026-W36.” Observed through 2026-09-01; verified 2026-09-01T10:00:04.348Z. https://leadiy.co/data/ai-llm/

Methodology
/methodology/
Source view
/hiring-pulse/