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Structured institutional evidence

AI Workforce Transition Tracker

See how AI is changing real work, how organizations are responding, and what the evidence actually supports.

For the conceptual framework behind these evidence cases, read the workforce transformation framework.

Dataset context

29 published evidence records · 6 jurisdictions

Updated monthly · How we verify evidence

Evidence landscape

How work is changing

Each evidence case appears once by the main way work is changing and is grouped by evidence strength. Select a case to see the evidence behind it.

Task Compression

AI reduces the time or effort required within an existing task.

0 cases

No evidence cases in this stage

1 case

  • Beijing No. 35 High School

4 cases

  • NTT DATA
  • Tencent
  • Walmart
  • The Permanente Medical Group / Kaiser Permanente

Task Substitution

AI performs a task that was previously performed by people.

1 case

  • BMW Group, Plant Leipzig

0 cases

No evidence cases in this stage

4 cases

  • Ping An Insurance (Group) Company of China
  • IBM
  • Klarna Group plc
  • Midea, Jingzhou washing-machine factory

Workflow Redesign

The sequence, handoffs, or coordination of work changes around AI.

2 cases

  • Beijing Hospital of Traditional Chinese Medicine, Capital Medical University
  • Siemens

6 cases

  • Great Wall Motor
  • Endava
  • Suzhou Intermediate People's Court
  • Singapore public healthcare system / Synapxe
  • LTM
  • BNY

5 cases

  • Futian District Government, Shenzhen
  • Qunar
  • Beijing Tiantan Hospital
  • AdventHealth
  • Deutsche Telekom

Role Redesign

The responsibilities or boundaries of a role change as work is reorganized.

1 case

  • PwC US

0 cases

No evidence cases in this stage

5 cases

  • DBS Group
  • JD.com
  • SimplifyNext
  • Salesforce
  • LONGi Green Energy

Placement uses the main classified work change. Additional research classifications remain available to authenticated reviewers; the map can group cases by cell as the collection grows.

Current findings

What the reviewed evidence shows

Reviewed finding

AI is changing work before it clearly changes workforce size

Across the current evidence base, AI is already compressing, substituting and reorganizing specific tasks, while corresponding changes in workforce size are often not directly evidenced. Workflow change and headcount effects should be treated as separate questions.

7 supporting evidence cases

Explore evidence
Evidence boundary

This does not establish that AI generally has little employment impact, or that workforce reductions will not occur. It means only that within the current published evidence base, task and workflow changes are often more directly evidenced than net workforce effects.

Reviewed finding

Measured AI gains are clearest at the workflow level

The strongest quantified outcomes in the Tracker are tied to concrete work units—coding, review, planning, reporting and logistics. Institutions evaluating AI should therefore measure changes in specific workflows, not rely only on enterprise-wide adoption metrics.

6 supporting evidence cases

Explore evidence
Evidence boundary

These metrics come from different organizations, functions and measurement methods. They must not be aggregated into a common productivity rate or treated as an expected return from AI generally.

Reviewed finding

Human authority remains explicit in some high-stakes AI workflows

Several healthcare and public-sector cases combine AI delegation with explicit human control points. Where the evidence is strongest, humans retain confirmation, review or final-judgment authority.

5 supporting evidence cases

Explore evidence
Evidence boundary

Do not generalize this into a claim that human oversight is the norm across AI deployments. Human decision rights are not documented for many Tracker Signals.

Evidence explorer

Browse evidence cases

12 of 29 visible

Filter the evidence

Active

JD.com

China Retail & e-commerce

Customer-service worker transition into AI training roles

Measured outcomes

AI mechanism → work change

Automation Role Redesign

How the organization responded

Redeploy · Create Roles

What changed

Customer-service experience is being repurposed into training, configuring and improving AI service systems, with reported job conversion at scale.

Key outcome

Employees completing job conversion or upgrading — Thousands of employees achieved job conversion/upgrading over roughly two years

Beijing No. 35 High School

China Education

AI-assisted initial assessment of student code

Observed work change

AI mechanism → work change

Automation Task Compression

How the organization responded

Not yet evidenced

What changed

AI performs the initial assessment of student code that teachers previously reviewed line-by-line.

LONGi Green Energy

China Solar / advanced manufacturing

AI inspection shifts frontline quality work toward model training and verification

Measured outcomes

AI mechanism → work change

Automation Role Redesign

How the organization responded

Redeploy · Reskill

What changed

AI performs substantial visual quality inspection, human workers verify flagged defects, and a documented former frontline quality inspector transitioned into AI-model training using frontline inspection expertise.

Key outcome

Inspection labor cost — Inspection labor cost was reported as reduced to approximately one-eighth of its previous level

Beijing Tiantan Hospital

China Healthcare

AI-generated radiology report draft with doctor review

Measured outcomes

AI mechanism → work change

Automation Workflow Redesign

How the organization responded

Not yet evidenced

What changed

AI generates an initial head-CT report draft that is then reviewed and finalized by a doctor.

Key outcome

AI report-generation time — Report generated in less than one minute — After 1 minutes

Tencent

China Technology & software services

CodeBuddy cuts coding time across engineering workflows

Measured outcomes

AI mechanism → work change

AI agents execute multi-step work Task Compression

How the organization responded

Not yet evidenced

What changed

CodeBuddy is embedded across Tencent engineering workflows and materially reduces coding time.

Key outcome

Overall coding time — Reduced by 40%

Midea, Jingzhou washing-machine factory

China Manufacturing & industrial

Embodied AI takes on factory inspection and logistics tasks

Measured outcomes

AI mechanism → work change

Automation Task Substitution

How the organization responded

Not yet evidenced

What changed

Vision systems, robots and other embodied-AI systems perform inspection, handling, patrol and logistics tasks inside the factory.

Key outcome

AI quality-system image throughput — More than 200,000 images processed per day — After 200000 images per day

Great Wall Motor

China Automotive

AI-supported dealership sales workflow

Observed work change

AI mechanism → work change

AI-assisted work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

AI-supported customer analysis and sales assistance are deployed across more than 4,000 dealerships.

Qunar

China Travel & hospitality technology

AI-mediated customer-service training and QA

Measured outcomes

AI mechanism → work change

AI-assisted work Workflow Redesign

How the organization responded

Entry-Path Redesign

What changed

AI now mediates customer-service onboarding, live response support and automated quality assurance.

Key outcome

New-agent training duration — Training duration reduced from 15 days to 5 days — Before 15 days · After 5 days

Beijing Hospital of Traditional Chinese Medicine, Capital Medical University

China Healthcare

Clinical AI drafts medical documents and supports diagnosis

In operation

AI mechanism → work change

AI-assisted work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

Parts of medical-document production, quality review and information retrieval are performed through a clinical AI assistant embedded in hospital systems.

Futian District Government, Shenzhen

China Public sector & justice

AI digital employees draft, review and route administrative work

Measured outcomes

AI mechanism → work change

AI agents execute multi-step work Workflow Redesign

How the organization responded

Operating Model Redesign

What changed

Multiple administrative workflows now delegate drafting, review, routing or coordination work to AI digital employees under a human-guardian model.

Key outcome

Document-format correction accuracy — Reported as greater than 95% — After 95 percent

Ping An Insurance (Group) Company of China

China Financial services

AI handles most customer-service interactions

Measured outcomes

AI mechanism → work change

Automation Task Substitution

How the organization responded

Not yet evidenced

What changed

AI service representatives directly handle the majority of Ping An customer-service interactions.

Key outcome

AI-handled customer-service interactions — Approximately 1.702 billion interactions handled by AI representatives — After 1702000000 interactions

Suzhou Intermediate People's Court

China Public sector & justice

AI-assisted judicial review and drafting

Observed work change

AI mechanism → work change

AI-assisted work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

AI assists file review, legal Q&A and document drafting in judicial workflows.