AI Layoffs: The Excuse Hiding the Real Story

More than 97,000 of the 127,000 tech layoffs in 2026 have been attributed to AI, yet most CIOs say they are not replacing workers with AI. The real drivers: pandemic over-hiring, shifting costs to fund AI infrastructure, and appeasing Wall Street. ServiceNow's example shows that even when AI automates tasks, 85% of affected employees were upskilled and redeployed.

Teksands take: Stop hiding behind AI. Candidates and employees see through it. The real story is a market correction and a massive shift of budgets into AI infrastructure. For hiring leaders, this means two things: be transparent in layoff communications to protect your employer brand, and double down on upskilling—because AI is changing roles, not eliminating them overnight.

MBA graduates are receiving offers with a 52% higher average salary compared to engineering graduates in 2026 campus placements. This significant pay gap underscores a shift in employer priorities towards business and management skills, even as technology roles remain in high demand.

Our take: The 52% pay gap between MBA and engineering roles is a stark reminder that the market rewards business skills. For tech hiring leaders, this means engineering compensation may need a rethink to stay competitive. It also highlights the growing importance of hybrid skills – engineers with business acumen will command premiums.

Big Tech layoffs hit 127K in 2026: AI is the excuse, not the cause

Tech layoffs in 2026 have already surpassed 2025 totals: 127,180 jobs cut by 284 companies as of August, versus 122,606 in all of 2025. Experts like Stanford's Erika McEntarfer argue there's a gap between AI messaging and actual deployment maturity. Some companies have seen stock jumps after AI-justified cuts, but cutting too deeply without mature AI systems could harm long-term capability.

The 'AI layoff' narrative is convenient, but the data suggests it's more about cost-cutting and market pressure than actual AI maturity. For Indian hiring leaders, this means a potential influx of senior talent from global tech firms, but also a need to critically assess whether AI-driven restructuring is sustainable. Don't follow the herd; invest in AI literacy and governance.

Four signals worth watching

The lesson: Employees are drawing their own conclusions about AI's role in layoffs, and employers are staying silent. That silence is a risk. If you're cutting roles and AI is even a minor factor, say so. Otherwise, you're letting the rumor mill define your employer brand.

India's AI Hiring Surge vs SEA's Speed Play

Teksands: Your AI-Ready Talent Partner

As AI reshapes hiring, Teksands helps you navigate the shift with data-driven talent intelligence and access to specialized AI, cloud, and engineering talent. Whether you're scaling a GCC or building an AI competency centre, we provide the insights and candidates you need to stay ahead.

Audit Your Layoff Communications and AI Hiring Strategy

This week, review your layoff communications: if AI is even a minor factor, say so. Silence lets the rumor mill define your employer brand. Also, start mapping your AI talent strategy to include the Forward Deployed Engineer role—it's a $300K specialty with 1,165% posting growth, and a certification now exists to verify skills. Finally, model the cost-benefit of the proposed $103K H-1B fee: it could accelerate your GCC expansion in India, so prepare for increased competition in Bengaluru, Hyderabad, and Pune.