When AI Writes the Code: Amazon’s Outages Reveal the New Risk in Digital Retail

By: Zenia Pearl V. Nicolas

Artificial intelligence has accelerated software development across the technology industry, but a recent incident at Amazon highlights a growing risk for companies racing to automate engineering processes.

This week, Amazon launched a 90-day “code safety reset” across its engineering teams after a series of platform disruptions linked to AI-assisted coding tools. The internal overhaul followed incidents that significantly impacted the company’s e-commerce operations, including one outage that caused North American orders to drop by 99 percent, resulting in approximately 6.3 million lost orders.

Another earlier incident generated 1.6 million website errors and roughly 120,000 lost orders due to inaccurate delivery estimates appearing at checkout.

The disruptions prompted Amazon to convene a high-level engineering meeting to examine how generative AI tools were being used in software deployments. Executives noted that while AI accelerates development speed, best practices for AI-assisted code are still evolving, increasing the risk of errors affecting large-scale digital infrastructure.

In response, Amazon is now enforcing stricter deployment rules across hundreds of critical systems. Engineers must obtain dual approvals, provide detailed documentation, and undergo additional review procedures before launching changes that affect customers.

The move reflects a broader reality facing digital enterprises: AI has dramatically increased the pace of innovation, but it has also introduced new operational vulnerabilities.

Large-scale retail platforms process millions of transactions every hour. When AI-generated code interacts with such complex environments, even minor errors can cascade across logistics networks, payment systems, and supply chains.

The lesson for technology leaders is not that AI should be slowed down, but that governance must evolve alongside automation.

In the race toward faster development cycles, the companies that succeed will not necessarily be those that adopt AI first—but those that build the strongest safeguards around it.

References

Business Insider. (2026, March 12). Amazon orders 90-day reset after code mishaps cause millions of lost orders. 

Financial Times. (2026, March 11). Amazon holds engineering meeting following AI-related outages. 

Tom’s Hardware. (2026, March 11). Amazon calls engineers to address issues caused by AI tools after outages. 

Analytics Insight. (2026, March 11). Amazon orders 90-day code safety reset after AI-linked platform outages. 

Ad-Hoc News. (2026, March 12). Amazon’s AI stumbles trigger major operational overhaul. 

Financial Express. (2026, March 13). Amazon tightens reviews of AI-written code after outages.