One-Line Summary

AI demand is shifting from broad IT headcount to targeted AI skills and cost-per-use discipline, with hiring, pricing, and early-stage capital all reflecting the turn.

Industry & Biz

AI roles grow in India as broader IT hiring slips

A monthly JobSpeak report from job portal Naukri shows AI hiring in India’s IT sector grows 16% year over year in June, while overall IT jobs decline 3%, based on listings from more than 150,000 firms. India’s $315 billion IT industry faces tighter client spending and pressure from AI reshaping traditional service models. ¹

Info Edge CEO Hitesh Oberoi, whose company owns Naukri, says the divergence highlights where tech firms still invest: “AI is increasingly becoming a core capability area,” with demand tilting to more senior and specialised talent. Across 14 sectors tracked by the report, AI and machine learning jobs increase 25%, with insurance and consumer goods showing the biggest gains. ¹

Tata Consultancy Services signals a structural shift as it moves toward having an equal number of employees and AI agents, and it slows hiring amid the transition. TCS cut more than 12,000 jobs in July 2025, and net headcount falls by more than 23,000 in the fiscal year ended March 2026. ¹

AI token costs drop, blurring a key market signal

Bloomberg reports that the Silicon Data LLM Token Expenditure Index — a measure of what users pay per AI token — is almost 20% below its May high after nearly doubling since its launch in December. Bloomberg calls the gauge one of the cleanest reads on a $700 billion-plus AI capex boom, and it notes that unit prices are drifting lower. ²

For finance and procurement teams, a falling per-token price complicates using price as a proxy for demand, even as overall usage ramps. The takeaway: cost curves may be improving for buyers, but unit economics and model mix matter more than headline spend. ²

Pivotal Ventures backs Magnify Ventures’ $46.6M Fund II

TechCrunch reports that early-stage firm Magnify Ventures raises $46.6 million for its second fund from LPs including Melinda French Gates’ Pivotal Ventures, targeting companies in the care economy such as assistive robotics, family cybersecurity, and AI for home use. Fund II plans to back AI tools for households, health and home systems, and fintech infrastructure for families. ³

Magnify’s first fund was $52 million in 2022, also anchored by Pivotal, with investments including Kinside and Till Financial; Pivotal’s broader care-economy bets include Papa and Seen Health. For operators in consumer and healthcare-adjacent markets, this points to growing capital interest in practical AI at home. ³

What This Means for You

Hiring diverges: even as overall IT slows, companies expand AI roles and seek senior, specialised talent. If you’re in product, design, marketing, or operations, pairing domain expertise with hands-on AI skills can differentiate you — especially in sectors like insurance and consumer goods where postings are rising. ¹

Budgets are getting granular: with a Bloomberg-tracked index showing token prices nearly 20% below May’s peak, procurement and team leads should benchmark effective cost per 1,000 tokens across vendors and models rather than relying on list prices or spend totals. Lower unit prices can unlock more experiments — if you measure and manage usage. ²

Consumer AI at home is investable: Magnify Ventures’ new $46.6 million fund, backed by Pivotal Ventures, targets household, health, and family-fintech use cases. For teams building consumer services, this is a nudge to validate caregiver and family workflows where AI can save time or reduce risk (e.g., family cybersecurity, scheduling, or simple assistive tasks). ³

Action Items

1. Refresh your AI skills story: Add one concrete AI-assisted outcome (time saved, quality improved) to your resume or team wiki, using work from the past quarter.
2. Baseline your AI unit costs: Export last month’s usage logs and compute cost per 1,000 tokens by model; identify one change (model swap or prompt trim) to cut 10–20%.
3. Run a 2-hour AI pilot in your function: Pick one repetitive task (e.g., first-draft emails, brief generation, spreadsheet cleanup) and document before/after time and accuracy.
4. Explore care-economy pain points: Interview two caregivers or parents about weekly admin tasks; map one AI-enabled job-to-be-done for your product backlog.