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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

29 of 29 visible

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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

Singapore public healthcare system / Synapxe

Singapore Healthcare

Clinical documentation and pre-consultation agent workflow

Observed work change

AI mechanism → work change

AI-assisted work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

AI transcribes and summarizes consultations and can prepare customized patient summaries before consultations.

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%

Salesforce

United States, Global Enterprise software

AI agents take over routine support as support engineers move into new roles

Measured outcomes

AI mechanism → work change

AI agents execute multi-step work Role Redesign

How the organization responded

Redeploy · Reskill · Reduce

What changed

Routine customer-support conversations increasingly move to Agentforce, while human support engineers concentrate on more complex or proactive customer work and hundreds have moved into other functions.

Key outcome

Customer conversations handled by Agentforce — Agentforce had handled 2.6 million customer conversations — After 2600000 conversations

Case study available

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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

SimplifyNext

Singapore Technology & software services

AI trainee-to-project-lead talent pathway

Measured outcomes

AI mechanism → work change

AI-assisted work Role Redesign

How the organization responded

Hire · Entry-Path Redesign · Reskill

What changed

SimplifyNext uses an AI-focused training pathway as a direct hiring and project-delivery pipeline, with trainees progressing into project leadership.

Key outcome

Trainees actually hired — Close to 50 trainees hired — After 50 employees

AdventHealth

United States Healthcare

Clinical and utilization-management workflow augmentation

Measured outcomes

AI mechanism → work change

AI-assisted work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

AI assists documentation and utilization-review work while clinicians retain final judgment.

Key outcome

Utilization-review turnaround — Teams reported faster turnaround from a baseline of about 10 minutes per case — Before 10 minutes per case

BMW Group, Plant Leipzig

Germany Automotive

Humanoid robot is tested for repetitive battery-production tasks

In operation

AI mechanism → work change

Automation Task Substitution

How the organization responded

Not yet evidenced

What changed

BMW is practically testing a humanoid robot in Leipzig to take over repetitive, precise and ergonomically demanding production tasks.

Endava

Global Technology & software services

AI agents are embedded across software delivery and project governance

Observed work change

AI mechanism → work change

AI agents execute multi-step work Workflow Redesign

How the organization responded

Operating Model Redesign

What changed

AI is embedded across Endava's software-delivery lifecycle, including legal research/documentation and project-governance reporting, while AI fluency is used in hiring and promotion expectations.

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.

LTM

Global Professional services

AI agents support HR, sales knowledge retrieval and RFP drafting

Observed work change

AI mechanism → work change

AI agents execute multi-step work Workflow Redesign

How the organization responded

Operating Model Redesign

What changed

AI agents support HR and sales workflows at organization scale, alongside broad employee AI training.

PwC US

United States Professional services

Entry-level auditors shift toward AI-assisted work and critical thinking

In operation

AI mechanism → work change

AI-assisted work Role Redesign

How the organization responded

Entry-Path Redesign · Reskill

What changed

AI is used for specialized audit tasks while entry-level auditors are trained to use AI agents and apply critical thinking instead of being confined to narrow technical execution.

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

Siemens

Germany Manufacturing & industrial

Engineering Copilot for automation engineering

In operation

AI mechanism → work change

AI agents execute multi-step work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

An engineering copilot autonomously executes bounded automation-engineering tasks within pilot workflows.

Deutsche Telekom

Germany Telecommunications

AI agents monitor mobile networks and execute corrective actions in minutes

Measured outcomes

AI mechanism → work change

AI agents execute multi-step work Workflow Redesign

How the organization responded

Not yet evidenced

What changed

A multi-agent system now identifies network events, analyzes load and anomalies, recommends optimization actions and can autonomously execute corrective network changes that previously required manual staff analysis and implementation.

Key outcome

Selected network-management process duration — Activities previously taking employees around one hour can be completed in a few minutes — Before 60 minutes

BNY

United States, Global Financial services

Digital employees join payment teams as staff build and deploy AI agents

Observed work change

AI mechanism → work change

AI agents execute multi-step work Workflow Redesign

How the organization responded

Reskill · Entry-Path Redesign · Operating Model Redesign

What changed

Employees across technical and nontechnical functions build AI agents on BNY's Eliza platform, digital employees perform routine work alongside payment teams, and AI learning is embedded into role-based and early-career development.

NTT DATA

Japan Technology & software services

Agent-supported RFP diagnostic workflow

Measured outcomes

AI mechanism → work change

AI agents execute multi-step work Task Compression

How the organization responded

Not yet evidenced

What changed

A specialized AI agent performs initial expert-style review of difficult non-functional requirements and surfaces risks and action plans before human delivery work continues.

Key outcome

RFP-review lead time — Reduced by approximately 60% while maintaining or improving quality

Walmart

United States Retail & e-commerce

AI-supported frontline shift planning

Measured outcomes

AI mechanism → work change

AI-assisted work Task Compression

How the organization responded

Not yet evidenced

What changed

AI recommends and prioritizes frontline tasks, reducing the time team leads spend building overnight stocking plans.

Key outcome

Team-lead shift-planning time — Reduced from 90 minutes to 30 minutes — Before 90 minutes per planning cycle · After 30 minutes per planning cycle

The Permanente Medical Group / Kaiser Permanente

United States Healthcare

Ambient AI drafts visit notes while physicians retain clinical review

Measured outcomes

AI mechanism → work change

AI-assisted work Task Compression

How the organization responded

Not yet evidenced

What changed

Ambient AI listens to physician-patient conversations and creates draft visit summaries, reducing manual documentation work while physicians retain review and editing authority.

Key outcome

Physicians using ambient AI documentation — 7,260 physicians used the tool between October 2023 and December 2024 — After 7260 physicians

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.

DBS Group

Singapore, Global Financial services

Roles are redesigned around AI with reskilling and redeployment

Measured outcomes

AI mechanism → work change

AI-assisted work Role Redesign

How the organization responded

Reskill · Redeploy · Create Roles · Operating Model Redesign

What changed

DBS formally redesigned roles and operating models around AI, with reskilling and redeployment tied to affected work.

Key outcome

Employees identified for deeper reskilling/upskilling — More than 11,000 employees identified — After 11000 employees

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

IBM

Global Technology & software services

AskHR HR-operations automation

Measured outcomes

AI mechanism → work change

Automation Task Substitution

How the organization responded

Operating Model Redesign

What changed

Common HR inquiries and transactions are automated at scale through AskHR.

Key outcome

Containment of common HR questions — 94% containment — After 94 percent

Klarna Group plc

Global Financial services

AI handling the majority of customer-service chats

Measured outcomes

AI mechanism → work change

Automation Task Substitution

How the organization responded

Not yet evidenced

What changed

The AI assistant directly handles most customer-service chats.

Key outcome

Share of customer-service chats handled by AI — AI assistant handled 80% of customer-service chats — After 80 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.