The Hiring Stack
Happy Monday.
The numbers from March tell two stories at once: 45,000 tech workers laid off globally, but AI job postings up 92% year-over-year. Companies aren't shrinking. They're reshaping. For hiring teams, this means the playbook from even six months ago might already be outdated.
In today's Hiring Stack:
(a) the AI layoff paradox reshaping enterprise workforce planning, and
(b) why India's GCCs are struggling to fill critical roles despite massive investment in AI.
Plus: your hiring trivia for the week.
AI In Hiring
Tech layoffs cross 45,000 in Q1 2026 — and one in five are explicitly tied to AI
The first quarter of 2026 has already surpassed many full-year layoff projections. According to tracking data compiled by RationalFX, over 45,000 tech workers have been let go worldwide through mid-March. What makes this wave different: 9,238 of those cuts — roughly 20% — were directly attributed to AI and automation by the companies themselves.
Amazon leads the count with 16,000 job reductions announced so far this year. Block cut 4,000 roles, with CEO Jack Dorsey stating the reductions were driven not by financial difficulty but by AI's growing ability to handle a wider range of tasks. WiseTech Global followed with 2,000 cuts as part of its own AI-driven restructuring.
But here's where it gets interesting for talent teams. While layoffs surge, demand for AI-adjacent roles is climbing at the same pace. Companies report a 92% increase in hiring for AI-related positions, and workers with AI skills command wage premiums of up to 56%, according to PwC's Global AI Jobs Barometer. The pattern is clear: organizations are cutting roles that overlap with what AI can do, while aggressively hiring people who can build, deploy, and manage AI systems.
For enterprise TA leaders, this creates a planning headache. Workforce projections now need to account for simultaneous contraction and expansion — sometimes within the same business unit.
Key takeaways:
9,238 tech layoffs in Q1 2026 were explicitly linked to AI/automation — 20.4% of total cuts.
AI job postings are up 92% YoY, with a 56% wage premium for AI-skilled workers.
Companies like Amazon and Block are cutting traditional roles while scaling AI teams — TA leaders must plan for both simultaneously.
India & GCC
New report: 58% of India's GCCs take 45+ days to fill critical roles — while half fly blind on hiring data
A new report from Ceipal and People Matters, published March 12, surveyed over 150 GCC leaders in India and found a significant disconnect between ambition and execution in talent acquisition.
The headline finding: 58% of Global Capability Centers take more than 45 days to fill critical roles. That's a problem when the majority of those same GCCs list AI-first value creation as their top strategic priority for 2026. You can't move fast on AI transformation when it takes two months to hire the people who will build it.
What makes this worse is the skew in what GCCs are hiring for. There's heavy investment in technical depth — GenAI, data science, AI/ML engineering — but a clear under-investment in the leadership layer that would translate that depth into business impact. Program leadership and product management are being treated as afterthoughts, even as GCCs position themselves as innovation centers for their parent organizations.
The report is direct about the underlying issue: reactive hiring has become a strategic liability. GCCs already investing in AI-enabled recruitment tools are seeing returns that outpace the challenges they set out to solve. Those still making hiring decisions without data intelligence are falling further behind — and talent scarcity and rising people costs are making the window to course-correct smaller every quarter.
Key takeaways:
58% of India GCCs take 45+ days to fill critical roles — a direct bottleneck to AI transformation timelines.
GenAI/prompt engineering (66%) and data science (58%) are the most in-demand skill sets — but leadership hiring is an afterthought.
Half of GCCs lack predictive analytics for hiring, even as 38% invest in agentic AI recruitment tools.
Quick Bites
India: Nearly one in three job postings signal urgency in hiring — Demand for "immediate joiners" in India has risen 58% since 2022, growing nearly five times faster than candidate availability.
AI/Tech: Research: How AI Is Changing the Labor Market — Harvard Business Review finds AI is cutting job postings in repetitive roles by 13% while boosting demand for analytical and creative positions by 20%.
Workforce: Nearly 80% of people feel unprepared to find a job in 2026 — LinkedIn's global survey of 19,000 professionals reveals a growing confidence gap, even as applications per posting have doubled since 2022.
Funding: Khosla backs Comp with $17.25M Series A — The AI-powered HR startup handles recruiting, compensation, and performance reviews, marking Khosla Ventures' first investment in a Brazilian company.
📣 Enjoying The Hiring Stack?
If this is useful, it takes 10 seconds to pass along to a colleague in TA or HR.
Join hundreds of talent leaders reading every Monday.
82%
Share of HR leaders planning to deploy agentic AI for recruiting by mid-2026
That's according to Korn Ferry's 2026 Talent Acquisition Trends survey of 1,674 global talent leaders. The same survey found that 52% plan to deploy autonomous AI agents to their recruiting teams this year. Agentic AI isn't a future bet for most TA teams — it's a current-year line item.
(Source: Korn Ferry, 2026 Talent Acquisition Trends)
🛠 Tool of the Week
LinkedIn Jobs on the Rise 2026 — LinkedIn's free annual report listing the 25 fastest-growing roles across major markets, including India. Useful for workforce planning conversations with hiring managers who need data on where talent demand is headed. View the report →
🎯 Hiring Trivia
Q: What percentage of new hires fail within their first 18 months — and what's the top reason?
A: 46%, and 89% of those failures are due to attitude, not lack of skill (Leadership IQ study of 20,000 hires).
Enjoyed this? Forward it to one colleague who'd find it useful.
Was this forwarded to you? Subscribe free →
Past editions: thehiringstack.kodiva.ai
Reply to this email — Varun reads every response.