AI Labour Market Report 2026 is live

Map the real AI exposure of every job in your organization.

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Stop guessing which roles AI will reshape, replace, or amplify. Quantify automation risk and AI readiness across job families using real-time skill penetration signals from 85M+ job postings.
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AI Exposure Matrix · Live Sample
Across 12 job families · Q2 2026
Live
Customer SupportHigh substitution risk
84
Data Entry / OpsDirect automation path
91
Software EngineeringHigh augmentation upside
62
Marketing / ContentWorkflow transformation
71
Finance / AccountingPartial task automation
58
Skilled TradesLow exposure
21

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Every exec wants an AI strategy. No one has the data to back it.

Transformation leaders are caught between consultancy reports that promise the world and HRIS data that says nothing about market AI adoption. Without external signal, AI strategy becomes a slide deck.

Generic risk frameworks

Off-the-shelf automation studies treat your org like an average. They miss how YOUR job families have evolved and which skills your competitors are already hiring.

No way to measure adoption

Is "AI penetration" in your role family 5% or 50%? Without market posting data, transformation roadmaps are built on consultant intuition.

Substitute vs augment confusion

Not all AI exposure is bad. Some roles get replaced, some get supercharged. Without the distinction, workforce plans either over-cut or under-invest.

Static views, dynamic shifts

AI skill penetration in core job families is doubling year-over-year. A one-time assessment is obsolete by the next quarterly review.

Place every job family on the automation-augmentation map.

The matrix plots two axes that matter: how much of a role’s task surface is exposed to AI, and whether AI is replacing or amplifying that work. Pick your industry and time horizon, see how the picture changes.

AI exposure × augmentation potential

Each point = one job family · Bubble size = workforce impact
Selected Job Family

Customer Support

Very Large workforce footprint
High Substitution Risk
AI exposure score84 / 100
Augmentation potential28%
AI skill penetration (YoY)+141%
Workforce impact tierVery Large
Customer Support is on a steep substitution curve in this industry. AI skill requirements in posted roles have grown sharply year-over-year, and the same hiring volume now expects automation tooling and AI-augmented workflows. Plan for capacity rebalancing rather than headcount growth.
High Risk · Replacing
Moderate Risk · Transforming
High Upside · Augmenting
Low Exposure · Stable

Watch AI requirements spread across job families in real time.

Track the share of postings in each job family requiring AI-related skills, prompt engineering, LLM tooling, ML literacy, agentic workflows, over the last 36 months.

AI skill mentions in job postings

% of postings within job family explicitly requiring AI-related capabilities. 36-month trend.

85M+ postings
Refreshed daily

Four signals that turn AI hype into measurable strategy.

Every score and trend is derived from hard signals extracted from the world’s largest posting corpus.

Posting-level extraction of AI/ML skills—from foundational ML to agentic frameworks—tracked month over month.

Automation Skill Penetration

Share of postings in each job family mentioning automation tooling, RPA, workflow orchestration, or agent-based systems.

Digital Transformation Velocity

Composite acceleration score showing how fast a job family is adopting digital and AI capabilities relative to peers.

Historical AI Skill Growth

Multi-year YoY growth curves for AI-related capabilities by industry, geography, and seniority.

AI Workforce Exposure Matrix
Job Family
Exposure
91Data Entry
84Cust Support
76Content/Mktg
71Sales Ops
62Software Eng
58Finance
44Product Mgmt
39Design
34HR / People
31Legal
21Trades
17Healthcare
High RiskTransformAugmentStable

AI Workforce Exposure Matrix

A board-ready, refreshable view of where AI is reshaping your workforce—replacing, augmenting, or leaving roles untouched. Built to power transformation roadmaps, reskilling investment cases, and capacity rebalancing decisions.

How transformation teams measure AI impact today vs. how they should.

CAPABILITY JOBSPIKR CONSULTANCY REPORTS INTERNAL SURVEYS
Data freshness
Annual or one-time
Annual at best
Substitution vs augmentation
Narrative only
Self-reported
Industry benchmarking
Sample-based
Internal only
Geographic granularity
Country-level at best
N/A
Cost per refresh
$$$$$ per study
Internal time
Forward visibility
Lagging analysis
Lagging perception

Transformation works differently for each stakeholder.

Build a defensible AI transformation roadmap

Walk into the board meeting with a quantified view of where AI is creating risk, where it's creating leverage, and where it's irrelevant—grounded in market signal, not consultancy speculation.

  • Prioritize transformation investment by exposure × workforce impact
  • Defend AI strategy with auditable market data
  • Set realistic 1, 3, and 5-year automation milestones
  • Spot when competitor adoption is outpacing your own
Investment priority by quadrant

From posting data to transformation roadmap in three steps.

01

Plug into real-time AI signal

Stream AI and automation skill extraction from 85M+ postings, mapped to your job families and locations.

02

Quantify exposure with precision

Get composite scores, substitution-vs-augmentation classifications, and YoY trend curves for every role family.

03

Act with confidence

Defend transformation priorities, reskilling budgets, and headcount plans with auditable data the board can sign off on.

What Our Clients Say

Stop guessing how AI will reshape your workforce.

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