AI-exposed tech roles show sharper salary growth, says Indeed
Advertised pay in technology roles most exposed to artificial intelligence has risen about 46% compared with 2021, against about 25% in less exposed roles, an Indeed Hiring Lab analysis found. Between 2021 and mid-2026, salaries in AI-exposed roles grew about 45% at senior level, 12% at mid level and 2% at entry level. Indeed economist and report author Jack Kennedy said a 5.7% pay premium persists even across similar job titles. foundit recorded about 2.9 lakh AI-related job postings in India in 2025.
Source
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Desk check · compared with the source
What the desk checked (5)
- Advertised pay in roles most exposed to AI rose about 46% compared with 2021, against about 25% in less exposed roles. — Attributed in source to Indeed Hiring Lab data; figures appear in source.
- An AI-exposure pay premium of about 5.7% is visible, and about 4.7% when comparing identical job titles. — Attributed to Indeed economist and report author Jack Kennedy; figures appear in source.
- From 2021 to mid-2026, salaries in AI-exposed roles rose about 45% at senior level, 12% mid-level and 2% entry level. — Attributed to Indeed; source notes mid-2026 period, part of which is projection, and figures appear as given.
- India recorded about 2.9 lakh AI-related job postings in 2025, projected to reach about 3.82 lakh in 2026. — Attributed to foundit 2025 annual hiring data; the 2026 number is described as an estimate.
- Companies are shortening entry-level hiring pipelines for AI-related roles rather than replacing junior staff. — Presented as Kennedy's interpretation, not as verified fact.
Analysts’ view opinion
The real story in Indeed Hiring Lab's data is not that AI is eating jobs, but that it is redistributing the rewards towards experience. Advertised pay in highly AI-exposed tech roles is up about 46% since 2021 versus roughly 25% in less-exposed roles, and a 5.7% pay premium survives even when comparing like-for-like job titles — so this is not purely a composition effect. The sharpest number is the seniority split: about 45% growth at senior level, 12% at mid-level and just 2% at entry level, suggesting the market is paying for the judgment to review and own AI output, not merely for operating the tools.
- The premium appears to attach to people who can validate AI output and carry accountability for architecture, security, cost and quality — not to tool usage alone.
- The 2% entry-level figure is not evidence of replacement; the report's author, economist Jack Kennedy, reads it as firms narrowing the entry-level pipeline in AI-exposed roles while concentrating spend on experienced hires.
- The premium is concentrated in the 'high exposure' buckets — software, IT systems and support, data and analytics, marketing, banking and finance — while healthcare, food service, cleaning and parts of manufacturing see less direct generative-AI impact.
- For India this cuts both ways: foundit logged about 2.9 lakh AI job postings in 2025 with roughly 3.82 lakh projected for 2026 and strong demand at 7–10 years' experience, even as the on-ramp for a very large annual graduate cohort looks narrower.
- Indian IT services hiring could shift from counting developers to specifying what kind of AI-enabled engineers are needed — a plausible direction of travel, not a settled forecast.
What to watch — Watch how campus offers and fresher training timelines at Indian IT firms move over the coming hiring cycles, and what share of foundit's projected 3.82 lakh AI postings is actually open to entry-level candidates.
These figures rest mainly on Indeed job postings and advertised salaries rather than realised pay, cannot be mapped directly onto every country or employer's pay structure, and do not establish that AI exposure itself caused the increases.
Deep dive
Research brief · 8 facts · 5 dates · exam-readyThe brief
Context
An Indeed Hiring Lab analysis of job posting and salary data finds that advertised pay in technology occupations most exposed to artificial intelligence has grown far faster since 2021 than in less exposed roles, with the gap widening after ChatGPT's arrival. The gains are concentrated among senior and experienced professionals, while entry-level pay growth in AI-exposed roles has been almost flat. Indeed classifies software development, IT systems and support, data and analytics, marketing and banking and finance as high-exposure occupations, and healthcare, food service, cleaning and some manufacturing as low exposure. Indian data from foundit shows a parallel surge in AI hiring, alongside strong demand for professionals with 7–10 years of experience.
Key facts
- Indeed Hiring Lab: advertised pay in the most AI-exposed technology roles is up about 46% compared with 2021, versus about 25% in less exposed roles.
- Between 2021 and mid-2026 in AI-exposed roles, salaries grew about 45% at senior level, about 12% at mid level and about 2% at entry level.
- Indeed economist and report author Jack Kennedy says an AI-exposure pay premium of about 5.7% persists even after comparing similar job titles; for the same job title it is about 4.7%.
- High AI-exposure occupations per Indeed: software development, IT systems and support, data and analytics, marketing, banking and finance; low exposure: healthcare, food service, cleaning, some manufacturing.
- foundit's 2025 annual hiring data recorded about 2.9 lakh AI-related job postings in India, projected to reach about 3.82 lakh in 2026.
- foundit flags strong demand for professionals with 7–10 years of experience, and digital, AI, cloud, data and cybersecurity as key hiring areas for 2026.
- foundit found hiring growth in 2025 not just in Bengaluru but also in Kochi, Kolkata, Ahmedabad and Jaipur, signalling spread to tier-2 cities.
- Kennedy's reading: companies are shrinking the entry-level hiring pipeline for AI-related roles rather than proving AI has replaced junior employees.
Timeline
- 2021Baseline year for Indeed's advertised-pay comparison in AI-exposed and less exposed technology roles.
- After ChatGPT's launch (date not stated in the source)The gap in demand and pay for AI skills becomes more clearly visible, per Indeed data.
- 2025foundit records about 2.9 lakh AI-related job postings in India, with hiring growth in Bengaluru, Kochi, Kolkata, Ahmedabad and Jaipur.
- Mid-2026End point of Indeed's experience-wise salary growth comparison: 45% senior, 12% mid, 2% entry level.
- 2026 (projected)AI-related job postings in India expected to reach about 3.82 lakh; digital, AI, cloud, data and cybersecurity identified as key hiring areas.
Who has a stake
- Entry-level IT aspirants and freshers — Only about 2% pay growth in AI-exposed roles and a shrinking entry-level hiring pipeline; basic programming skills alone may no longer suffice.
- Senior and experienced technology professionals — Roughly 45% salary growth in AI-exposed roles; judgment, architecture, risk assessment and AI output verification raise their value.
- Indian IT majors (Infosys, TCS, Wipro, HCLTech, Tech Mahindra) and AI startups — Hiring focus may shift from how many developers are needed to what kind of AI-enabled professionals are needed.
- Indeed Hiring Lab and economist Jack Kennedy — Source of the pay-premium analysis, based on Indeed job posting and salary data that may not apply to every country or company.
- foundit (job platform) — Provides India-specific AI hiring numbers and the 2026 projection shaping the domestic jobs narrative.
- Tier-2 city technology workers — Hiring growth in Kochi, Kolkata, Ahmedabad and Jaipur could open new AI-based job opportunities outside metros.
Why it matters
India adds a large number of engineering and computer science graduates to the workforce each year, so a pay and hiring structure that rewards seniority and AI judgment over basic coding directly affects employability at the bottom of the pyramid. The data suggests AI is working as a complementary technology that still needs human supervision, integration and correction, rather than an outright replacement. How fast companies adopt AI and reshape hiring strategies will decide whether India's talent pool becomes a stronger part of the global AI workforce or faces an entry-level squeeze.
UPSC angle
Prelims pointers
- Indeed Hiring Lab analysis: about 46% advertised pay growth since 2021 in highly AI-exposed tech roles vs about 25% in less exposed roles.
- AI-exposure pay premium: about 5.7% across similar job titles, about 4.7% for the same job title (Jack Kennedy, Indeed economist).
- 2021 to mid-2026 salary growth in AI-exposed roles: senior about 45%, mid about 12%, entry about 2%.
- foundit 2025: about 2.9 lakh AI-related job postings in India; 2026 projection about 3.82 lakh.
- Indeed's high AI-exposure occupations include software development, IT systems and support, data and analytics, marketing, banking and finance.
- foundit's 2026 key hiring areas: digital, AI, cloud, data and cybersecurity; strong demand for 7–10 years' experience.
Mains framing
The Indeed Hiring Lab data points to a widening intra-sector wage divide driven by AI exposure: advertised pay in the most AI-exposed technology roles has risen about 46% since 2021 against about 25% in less exposed roles, and within AI-exposed work the gains are heavily skewed to seniority (about 45% senior, 12% mid, 2% entry-level up to mid-2026). The causes lie less in outright substitution of junior workers than in a shrinking entry-level hiring pipeline, as AI tools absorb routine coding, testing, documentation, data processing and support tasks while employers pay a premium (about 5.7% across similar titles) for professionals who can integrate AI into business processes, verify its output and own the risk. The implications for India are twofold: a challenge for freshers who rely on basic programming skills alone, and an opportunity given its large graduate pipeline, 2.9 lakh AI-related postings in 2025 and hiring spreading to cities such as Kochi, Kolkata, Ahmedabad and Jaipur. The way forward suggested by the data is a skills combination rather than a single capability: strong core foundations in programming, databases, cloud, cybersecurity and system architecture, plus AI-assisted development and prompting, plus experience-led judgment, problem solving and domain understanding. Caveat: the figures rest on Indeed's own posting and salary data and cannot be applied uniformly to every country or company.
Key terms
- Indeed Hiring Lab
- The research arm of job platform Indeed whose job posting and salary data underpin the AI pay-growth analysis.
- AI exposure
- The degree to which an occupation's tasks can be affected by AI; Indeed rates software, IT support, data, marketing and finance as high exposure.
- Pay premium
- The extra advertised pay attached to AI-exposed roles—about 5.7% across similar job titles and about 4.7% within the same job title.
- Advertised pay
- Salary stated in job postings, used as a proxy for market pay trends rather than actual payroll data.
- foundit
- A job platform whose 2025 annual hiring data recorded about 2.9 lakh AI-related postings in India, projected at about 3.82 lakh in 2026.
- Complementary technology
- Technology that augments rather than replaces workers; AI still needs humans to supervise, integrate and correct its output.
Practice questions
- Indeed's data shows AI-exposed technology roles gaining about 46% in advertised pay since 2021 but only about 2% growth at entry level. Examine the causes and consequences of this seniority-skewed wage premium for India's IT workforce.
- "AI is a complementary technology, not a replacement." Critically evaluate this claim using evidence on hiring pipelines and pay premiums in technology occupations.
- With about 2.9 lakh AI-related job postings in India in 2025 and hiring spreading to tier-2 cities, discuss how skilling priorities for Indian engineering graduates should change.
Grounded only in the source report — figures and dates are the source's, not inferred.