Why Amazon May Be the Smartest Long-Term AI Investment Nobody Is Talking About

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By Rich Duprey Published

Quick Read

  • Andy Jassy reported Bedrock grew 170% quarter-over-quarter in customer spend, processing more tokens in Q1 than all prior years combined.

  • Amazon earns revenue regardless of which AI model enterprises choose, making multi-model flexibility its sharpest competitive edge over single-vendor platforms.

  • AWS's AI business already exceeds a $15 billion annual revenue run rate, mirroring the same quiet infrastructure dominance AWS built in cloud computing.

  • Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Amazon didn't make the cut. Grab the names FREE today.

Why Amazon May Be the Smartest Long-Term AI Investment Nobody Is Talking About

© 24/7 Wall St / Getty Images

Artificial intelligence has produced no shortage of headline-grabbing stories. Every week seems to bring another breakthrough model from OpenAI, Anthropic, or Google, while Nvidia (NASDAQ:NVDA | NVDA Price Prediction) dominates discussions around the chips powering the AI revolution. 

Yet history shows that the companies creating the most value aren’t always the ones making the most noise. During the cloud computing boom, Amazon (NASDAQ:AMZN) quietly built Amazon Web Services (AWS) into a business that now generates tens of billions of dollars in operating income each year. The same pattern may be emerging in AI, where Amazon’s biggest advantage isn’t building the best chatbot — it’s becoming the platform where businesses deploy them.

Bedrock Is the AI Platform Most Investors Overlook

Amazon CEO Andy Jassy told analysts during the first-quarter earnings conference call, “Bedrock…saw 170% growth in customer spend quarter over quarter and processed more tokens in Q1 than all prior years combined.” 

That isn’t just a usage milestone — it suggests enterprise AI adoption has shifted from experimentation to production.

Bedrock isn’t another large language model competing with ChatGPT or Gemini. Instead, it serves as a managed platform that lets businesses access multiple foundation models — including Anthropic’s Claude, Amazon’s Nova, Meta Platforms‘ (NASDAQ:META) Llama, and others — through a single interface while AWS handles security, governance, and infrastructure.

Infographic displaying Amazon Bedrock's growth statistics, its role as a platform for multiple AI models, and its $15 billion revenue run rate.
Forget the chatbot wars. Amazon is quietly building the $15 billion digital highway where the entire AI revolution actually runs. © 24/7 Wall St.

In other words, Amazon isn’t trying to convince customers that one AI model is best. It’s betting businesses will want the flexibility to use whichever model works best for each task.

That strategy mirrors what AWS did in cloud computing. Companies didn’t choose AWS because Amazon built the best database or operating system. They chose it because AWS became the easiest place to run almost everything.

Amazon Is Competing for the Most Valuable Layer of AI

The AI market is rapidly separating into distinct layers.

Company Primary AI Focus
Nvidia AI chips and computing hardware
Microsoft (NASDAQ:MSFT) Azure AI platform and OpenAI partnership
Alphabet (NASDAQ:GOOG) Gemini models and Vertex AI cloud platform
Amazon AWS infrastructure and Bedrock AI platform

Unlike OpenAI or Anthropic, Amazon doesn’t need to win the race to build the smartest model. It only needs to become the preferred platform where enterprises deploy AI applications. That opportunity may be larger than many investors appreciate.

During Amazon’s Q1 call, Jassy also noted that AWS’s AI business has reached an annual revenue run rate exceeding $15 billion, while Bedrock customer spending grew 170% quarter-over-quarter. Those figures suggest AI workloads are moving from pilot projects into everyday business operations.

As more companies deploy AI agents capable of completing multi-step tasks, inference demand — the computing required every time an AI model generates an answer — should continue expanding. Every inference request creates demand for GPUs, networking equipment, memory chips, and cloud infrastructure, all of which strengthen AWS’s ecosystem.

Investors May Be Looking in the Wrong Place

Granted, Amazon doesn’t receive the same attention as Nvidia’s GPUs or OpenAI’s newest model releases. That said, enterprise customers typically care less about who built the model than whether their applications run securely, reliably, and at scale. That’s precisely where Bedrock fits.

Surprisingly, Amazon’s decision to support multiple competing AI models could become one of its biggest competitive advantages. Businesses gain flexibility without locking themselves into a single vendor, while Amazon earns revenue regardless of which model customers ultimately choose.

Key Takeaway

In short, Amazon may not produce the flashiest AI headlines, but it is positioning itself to own one of the industry’s most valuable pieces: the enterprise platform where AI applications are built and deployed. The latest Bedrock usage figures suggest that strategy is already gaining traction.

Ultimately, investors shouldn’t view Amazon as simply another participant in the AI race. They should view it as the company building the digital highway that many of the race’s winners will travel. If enterprise AI adoption continues accelerating, Bedrock could become as foundational to artificial intelligence as AWS became to cloud computing — and that would make Amazon one of the AI era’s biggest long-term beneficiaries.

Contact [email protected] for any questions or corrections.

Photo of Rich Duprey
About the Author Rich Duprey →

After two decades of patrolling the dark corners of suburbia as a police officer, Rich Duprey hung up his badge and gun to begin writing full time about stocks and investing. For the past 20 years he’s been cruising the markets looking for companies to lock up as long-term holdings in a portfolio while writing extensively on the broad sectors of consumer goods, technology, and industrials. Because his experience isn’t from the typical financial analyst track, Rich is able to break down complex topics into understandable and useful action points for the average investor. His writings have appeared on The Motley Fool, InvestorPlace, Yahoo! Finance, and Money Morning. He has been featured in both U.S. and international publications, including MarketWatch, Financial Times, Forbes, Fast Company, and USA Today.

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