World Bank Enterprise Survey - Follow-up on Artificial Intelligence 2026

India, 2026

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Reference ID

IND_2026_WBES-OS_v01_M

Producer(s)

World Bank Group (WBG)

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Created on

Aug 05, 2026

Last modified

Aug 05, 2026

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Data file: India-2026-AI_follow-up_data

India 2026 AI follow-up survey data

Cases:	1355
Variables:	132

Variables

idstd

start_year

Interview start: Year

start_month

Interview start: Month

start_day

Interview start: Day

start_hour

Interview start: Hour

start_minute

Interview start: Minute

ai_b1a3

Has website or social media presence

ai_b1a4

Uses text messaging or messenger apps

ai_b1b

Share of workers using computer daily

ai_b6f

Sells AI-related technologies developed in-house

ai_b2a1

Uses machine learning

ai_b2a2

Uses AI chatbot

ai_b2a3

Uses AI agent performing tasks directly

ai_b2a4

Uses generative AI (images, video, speech, audio)

ai_b2a5

Uses AI for workflow automation or decision support

ai_b2a6

Uses AI for autonomous physical machine movement

ai_adopt1

ai_adopt_no

Reason for not adopting AI

ai_b2b1

Uses AI chatbot/agent that is readily available

ai_b2b2

Uses AI chatbot/agent for specific business function

ai_b2b3

Uses AI chatbot/agent built for this establishment

ai_b5b

Year-month first used AI chatbots or agents

ai_b3a1

Uses AI for finding information

ai_b3a2

Uses AI for summarizing information

ai_b3a3

Uses AI for drafting or editing text

ai_b3a4

Uses AI for coding or software development

ai_b3a5

Uses AI for translation

ai_b3a6

Uses AI for data analysis, modelling or simulation

ai_b3a7

Uses AI for controlling business or production processes

ai_b3a8

Uses AI for customer or external interaction

ai_b4a1

ai_b4a2

Uses AI in marketing, sales and product development

ai_b4a3

Uses AI in sourcing, procurement and supply chain

ai_b4a4

Uses AI in business administration (accounting, HR)

ai_b4a5

Uses AI in strategic decision-making

ai_b4a6

Uses AI in compliance and governance

ai_b4a7

Uses AI in quality control

ai_b5a

Year-month first used any AI technologies

ai_b6a1

Uses online AI platform (e.g. ChatGPT)

ai_b6a2

Uses open-source AI software

ai_b6a3

Uses commercial AI software (e.g. Copilot)

ai_b6a4

Uses custom-built AI software

ai_b6a5

Uses other AI software type

ai_b6b

ai_b6c

Modification/development of AI before use

ai_b6d

Purchase AI token

ai_d1

AI use relative to peers in country and sector

fatb7a1

Handwritten processes for finance/admin

fatb7a2

Uses standard software (e.g. Excel) for finance

fatb7a3

Uses mobile apps or digital platforms for finance

fatb7a4

Uses specialized software for finance

fatb7a5

Uses ERP software for finance

fatb7a6

Uses ERP integrated with AI for finance

fatb7a7

Main method for managing finance and admin

fatb8a1

Manual search for suppliers

fatb8a2

Uses PCs for supply chain (manually updated)

fatb8a3

Uses social media or apps for supply chain

fatb8a4

Uses SRM software (standalone) for supply chain

fatb8a5

Uses SRM software (ERP-integrated) for supply chain

fatb8a6

Uses SRM integrated with AI for supply chain

fatb8a7

Main method for supply chain management

fat_b9a1

Face-to-face chat with customers

fat_b9a2

Uses online chat for customer data

fat_b9a3

Uses AI chatbots for customer data

fat_b9a4

Uses structured surveys for customer data

fat_b9a5

Uses CRM software (standalone) for customer data

fat_b9a6

Uses CRM integrated with AI for customer data

fat_b9a7

Uses big data analytics or ML for customer data

fat_b9a8

Main method for customer data collection

e1a

Number of paid workers (full- and part-time)

ai_a2a

Number of managers

ai_a2b

Number of professionals and technicians

ai_a2c

Number of clerical and sales workers

ai_a2d

Number of workers (other category)

ai_c1a1

Hired workers due to AI adoption

ai_c1a2

Laid off workers due to AI adoption

ai_c1a3

Slowed or froze hiring due to AI adoption

ai_c1a4

Reassigned workers due to AI adoption

ai_c1c

Main occupation with layoffs or hiring freeze

ai_c1d

Main occupation for new hires due to AI

ai_c1e

Share of workers with reassigned tasks or positions

ai_c1f

Provided AI-related training to workers

ai_c1g

Main goal of AI-related training

ai_c1h

Attempted to hire AI-skilled workers (last 3 months)

ai_c1i1

Sought workers with strategic AI skills

ai_c1i2

Sought workers with developer AI skills

ai_c1i3

Sought workers with applied AI skills

ai_c1i4

Sought workers with data security or responsible AI skills

ai_c1i5

Sought workers with cloud technology skills

ai_c1i6

Sought workers with other specified AI skills

ai_c1i7

Sought workers with other AI-related skills

ai_e1

Main reason for not using AI

ai_e2

Main constraint to increasing AI use

ai_f1a1

Expected change in number of employees (3 years)

ai_f1a2

Expected increase in employees (%)

ai_f1a3

Expected decrease in employees (%)

ai_f1b

Share of workers needing reskilling (3 years)

ai_f2a1

Expected change in productivity, current AI pace

ai_f2a2

Expected productivity increase, current AI pace (%)

ai_f2a3

Expected productivity decrease, current AI pace (%)

ai_f2b1

Expected change in productivity, rapid AI advancement

ai_f2b2

Expected productivity increase, rapid AI pace (%)

ai_f2b3

Expected productivity decrease, rapid AI pace (%)

ai_f2c1

Expected change in productivity, slow AI advancement

ai_f2c2

Expected productivity increase, slow AI pace (%)

ai_f2c3

Expected productivity decrease, slow AI pace (%)

ai_g1a

Policy support: any policy to increase AI use

ai_g1b

Policy support: workforce training

ai_g1c

Policy support: improved access to financial loans

ai_g1d

Policy support: financial subsidies

ai_g1e

Policy support: change in AI regulations

ai_g1f

Policy support: better skills of university graduates

jobs_h1

Share of time workers spend waiting or idle

jobs_h2

Main reason for worker idle time

jobs_h3

Share of workers wanting more hours

jobs_h4

Can handle 20% increase in demand without hiring

jobs_h5

Capacity utilization indicator

jobs_h6a

Sales in highest-sales month (last year)

jobs_h6b

Workers in highest-sales month

jobs_h7a

Sales in lowest-sales month (last year)

jobs_h7b

Workers in lowest-sales month

i1a

Workers in administrative functions

i1b

Permission to send follow-up survey link

end_year

Interview end: Year

end_month

Interview end: Month

end_day

Interview end: Day

end_hour

Interview end: Hour

end_minute

Interview end: Minute

wt_ES

Weight: Baseline

wt

Weight: Follow-up

stratificationsectorname

stratification sector name

stratificationsectorcode

stratification sector code

Total: 132

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