When do the Amazon layoffs start and who could be affected?

Amazon layoffs January 28 are expected to begin around that date, with some reports flagging January 27 in US time zones. Cuts focus on corporate layers to speed decisions. Indian teams may be affected, based on local reporting. Severance terms and role specifics will likely vary by function and region.

Why spend $35 billion on AI while reducing headcount?

The company is reallocating resources from overlapping corporate layers to infrastructure that can scale revenue and margins. AI data centers, GPUs, and networking are capital intensive but can support higher-value cloud services. If utilization rises and customers adopt GenAI tools, AWS profits may grow faster than costs over time.

What should investors watch in the AWS profit outlook?

Focus on utilization of new AI capacity, the mix of premium services, customer adoption of GenAI, and any pricing changes. Watch operating margin trends, free cash flow conversion, and commentary on capex cadence. Clear proof that AI spend boosts margins would validate the investment case ahead of guidance.

Is AMZN stock attractive now for India investors?

AMZN shows positive momentum and strong analyst support, but valuation is full and earnings are near. Key levels sit around the 50-day and 200-day averages. Consider position sizing, currency exposure, and event risk into Feb 5 US-time results. This is not advice. Do your own research before investing.

Global Market Insights

AMZN Stock Today: January 28 Layoffs Begin as $35B AI Capex Soars

ByDanny Kontos January 28, 2026January 28, 2026

Amazon layoffs January 28 are set to start as the company boosts quarterly AI capex to about $35 billion. Investors in AMZN are weighing whether AWS’s ~20% growth can support this spend before Feb 5 US-time earnings. Today we break down the likely impact on margins, stock setup, and India exposure. Reports also flag a sharper focus on “de-layering” to speed decisions. We share key levels, catalysts, and what Indian investors should track in cloud demand and partner ecosystems.