1. 21 Sep 2026

    Lex in depth: Anthropic at $2tn isn't far-fetched - Financial Times

    ... generative AI could tap a market twice that size. Say AI ends up taking 10 per cent of what Morgan Stanley sees as the $60tn market for “knowledge ...

    www.ft.com ↗
  2. 20 Sep 2026

    McKinsey report shows productivity decline in 30% of companies using agentic AI  

    In nearly 30 per cent of companies, productivity fell after teams began using agentic artificial intelligence tools, revealing operational hurdles ...

    www.aninews.in ↗
  3. 20 Sep 2026

    Scientists worried about impact of AI on deep thinking as a new study shows early effects on learning

    ... generative AI affected homework productivity and learning. It found AI use lifted homework scores by 18 per cent and improved completion times by ...

    www.abc.net.au ↗
  4. 17 Sep 2026

    AI Agents Could Autonomously Handle 20-30% Of Enterprise Work: IBM VP

    AI agents could eventually perform about 20-30 per cent of the work in an enterprise autonomously, with human oversight remaining necessary for ...

    www.businessworld.in ↗
  5. 17 Sep 2026

    Runaya achieves 55 per cent women representation across organisation

    Runaya achieves 55% women representation and targets 60% as it expands opportunities for women across manufacturing ... learning. Some employees pursue ...

    www.manufacturingtodayindia.com ↗
  6. 17 Sep 2026

    Women in Advertising 2026: "We aren't just adopting agentic AI faster. We're positioned to ...

    Almost 40 per cent of organisations in the UAE and Saudi Arabia already have agentic AI running in production. This makes the Middle East one of the ...

    campaignme.com ↗
  7. 08 Sep 2026

    Hyundai Motor India targets 20% women representation by 2030 - HR Katha

    Women recorded a 23 per cent promotion or elevation rate in FY26, while HMIL has expanded access to learning, development and leadership opportunities ...

    www.hrkatha.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 12:14 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 12:14 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 12:14 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 12:14 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 12:14 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 12:14 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 12:14 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 12:14 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 12:14 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 12:14 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 12:14 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 12:14 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 12:14 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 12:14 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

32 items Polled 22 Sep, 12:14 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.