Every number on this site, sourced.

Indicators establish the scale of the education system, the reorganisation of work, the falling cost of execution and the capability gap. They are not market-size claims.

Public data sources

1. Ministry of Education, Government of India

All India Survey on Higher Education (AISHE) 2022-23 and 2023-24, released 8 July 2026.

Open source ↗

2. Department of Higher Education, Government of India

AISHE Report 2023-24.

Open source ↗

3. World Bank

Tertiary Education overview: around 222 million students globally, up from 100 million in 2000.

Open source ↗

4. World Economic Forum

Future of Jobs Report 2025.

Open source ↗

5. Stanford Institute for Human-Centered AI

AI Index Report 2025.

Open source ↗

6. OECD

AI and Skills: What We Know So Far, 2026.

Open source ↗

7. OECD

Generative AI and the SME Workforce, 2025.

Open source ↗

8. World Bank

Working Without Borders: The Promise and Peril of Online Gig Work, 2023.

Open source ↗

9. Ministry of Education, Government of India

National Education Policy 2020 — source for the Gross Enrolment Ratio target of 50 by 2035.

Open source ↗

How calculations are treated

Standard ratios and subtraction are labelled as AITH calculations based on published source figures. The Gross Enrolment Ratio formula is the official AISHE definition. Equations such as work readiness or productive adoption are AITH-authored conceptual models. They are not validated statistical measures and should not be displayed as quantified scores.

Our standards for public data

We recheck every time-sensitive figure against its cited source before publication.

We keep forecast language explicit — projected, expected, surveyed or estimated.

We label every AITH calculation as an AITH calculation, separate from the cited source.

We do not present figures about the wider ecosystem as claims about our own customers or revenue.

We retain the source year and scope beside every public statistic.

We use no more than one evidence block on any page.