Amazon bets on AI: Andy Jassy forecasts AWS at $600 billion a year in revenue

Amazon CEO Andy Jassy told employees that within ten years, AWS could reach $600 billion in annual revenue. Artificial intelligence is the main bet in this forecast, which the company sees as the next major accelerant for the cloud business.

AWS Forecast

The statement was made at an internal company meeting and represents one of the most ambitious targets publicly linked to the cloud market. Jassy is essentially talking not just about AWS growth, but about a shift to another scale, where AI becomes not an additional service but the central reason companies are increasing infrastructure spending. For Amazon, this is an important signal both within the company and for investors: management believes that demand for computing, data storage, and AI services is only beginning to ramp up.

The context is also telling. Massive forecasts for future AI revenue are already circulating in the market, and such predictions are gradually becoming part of the competitive race among the largest tech companies. While cloud was previously sold as a convenient way to rent servers and databases, it's now increasingly positioned as the foundation for training, deploying, and operating AI models. In this logic, AWS should profit not only from classical infrastructure but from every stage of the AI pipeline.

Why the AI Bet

Amazon's logic is clear: a business that implements generative models and AI agents almost always increases cloud resource consumption. You need accelerators, network capacity, storage, data preparation tools, security services, and platforms for running models in production. The more companies move AI experiments into real processes, the more opportunity cloud providers have to turn one-time interest into sustained revenue.

For AWS, this is an opportunity to sell not just a single product but an entire stack. On this bet, Amazon can earn across multiple layers:

• Renting computing power for model training and inference
• Storing and processing corporate data for AI scenarios
• Tools for deploying, monitoring, and scaling models
• Security services, access control, and policy compliance
• Integration of AI capabilities into existing AWS cloud products

That's why the $600 billion forecast looks not like a bet on one trendy service, but a calculation on a systemic shift in corporate IT budgets. If companies build internal assistants, analytical tools, search engines, and customer service automation on top of the cloud, the provider gets paid from multiple points: from hardware to application services.

This model is especially beneficial for players who already have a huge base of corporate clients.

How Big Is the Scale

The $600 billion figure matters not just as an impressive target. It shows how much the largest players estimate the potential size of AI infrastructure in ten years. Essentially, Amazon assumes a scenario where artificial intelligence becomes as basic an expense for business as databases, compute clusters, analytics, and network services are today. This is no longer a conversation about experimental pilots, but about a long investment cycle with expectations of mass adoption.

But such a large forecast automatically raises the bar for execution. To approach these numbers, AWS will need to maintain cloud leadership, expand data centers, ensure access to expensive chips, and simultaneously withstand pressure from other providers who are also building AI platforms. Additionally, corporate clients will expect not only capacity but clear project economics: if AI implementation doesn't reduce costs or add revenue, they won't endlessly increase their cloud bills.

What This Means

Jassy's forecast shows that the largest cloud platforms no longer view AI as a separate vertical. For Amazon, it's the future engine of all AWS, and for the market, it's recognition that the battle is no longer just for models, but for control over the entire infrastructure on which these models run.