Amazon has created a new division focused on agentic artificial intelligence (Agentic AI), a technology that enables software to make autonomous decisions with minimal human intervention. This represents a highly advanced system—an approach capable of:
- Making rapid decisions in response to changing environmental conditions
- Using innovative reasoning, learning techniques, and context-aware interpretation
The Goal? According to an email viewed by Reuters, the goal is to help users in general and customers in particular automate more aspects of their lives. This broad objective creates fertile ground for reflection.
The new team will be led by Swami Sivasubramanian, an AWS executive. It is responsible for creating an ecosystem called Agentic AI, which has:
The potential to become AWS’s next multibillion-dollar business
At least, that’s what Matt Garman, CEO of AWS and signatory of the email, asserts.
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What Is Agentic Artificial Intelligence?
Before understanding Amazon’s latest advancements, it’s important to note that agentic AI represents a significant evolution in AI technology. It is characterized by a system’s ability to act autonomously to achieve specific objectives in complex environments. Unlike traditional AI systems that only respond to direct inputs, agentic AI can:
- Perceive its environment
- Make independent decisions
- Act accordingly
- Adapt to new situations by learning from past experiences
A concrete example of agentic AI is advanced home automation systems.
Imagine an intelligent home assistant that doesn’t just respond to voice commands like “turn on the lights” but learns the household’s preferences over time. The system might notice that every evening at 7:00 PM, the family gathers in the living room. As a result, it could automatically adjust lighting, temperature, and even suggest entertainment content based on collective interests—without explicit instructions.
In the business context, agentic AI could manage supply chains autonomously. The AI agent could:
- Continuously monitor inventory levels
- Analyze market trends
- Predict future demand
- Place orders with suppliers when necessary
- Even negotiate prices and terms within predefined parameters
If unexpected disruptions occur—such as shipping delays or supplier issues—the AI could autonomously reorganize orders and adjust production to minimize impact.
What sets these applications apart from simple automation is the ability of agentic AI to make decisions in novel or ambiguous situations, based on general objectives rather than detailed instructions. This autonomy requires a sophisticated understanding of context, causal reasoning, and mechanisms to evaluate the consequences of actions against overarching system goals.
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What Will Agentic AI Do?
As previously mentioned, agentic AI aims to automate user activities so that they don’t need to request actions from systems. Last week, Amazon highlighted some of these capabilities by announcing an updated version of its voice service, Alexa. It will be released to select customers this month.
Alexa+ can perform background tasks, managing complex interactions with websites and services even when users are not actively engaged
Garman wrote.
And all of this is powered by Amazon Web Services (AWS)’s world-class cloud infrastructure and security to protect user privacy and data.
However, it’s clear that Agentic AI has even more ambitious goals.
We have the opportunity to help our customers innovate even faster and unlock more possibilities. I strongly believe that AI agents are fundamental to this next wave of innovation,
Garman stated in his communication. Amazon has not yet responded to journalists’ requests for clarification.
Alexa+ and Agentic AI
Sivasubramanian later wrote in a LinkedIn post that Alexa+ instantly matches each user request with the best AI model for the task and connects with user services such as email, calendars, apps, and more.
For customers, this means having an AI assistant that autonomously completes tasks on their behalf
Sivasubramanian wrote.
There’s no need to hold the device or select an app to take action. Alexa+ doesn’t require staring at a screen while waiting for the delegated action to complete.
Additionally, just a few days ago, AWS Senior Vice President Peter DeSantis announced a series of further reorganizations within AWS—which for years has been Amazon’s main profit driver, boosting its margins and earnings. These changes include:
- Moving the AI Bedrock and SageMaker groups, as well as hardware engineering, under the compute organization
- Establishing a new group combining customer experience and e-commerce expertise
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What Do Other Players Think About Agentic AI?
The presence of agentic artificial intelligence is certainly not exclusive to Amazon’s projects. Moreover, there is growing consensus that AI agents are set to compete with—and even replace—human software engineers.
Sam Altman, CEO of OpenAI, stated that by the end of the year, his company’s most advanced AI reasoning model could rank first in programming competitions.
Jensen Huang, CEO of Nvidia, added in February that the world only began the current wave of AI improvements two years ago, starting with generative AI, which fueled consumer AI adoption. The shift is now moving toward AI agents, which will drive AI adoption in businesses.
Microsoft has also taken a strong step toward agentic AI. The company has repeatedly emphasized that its Copilot platform can include such capabilities. To prove this, it recently launched two new AI-based agents for sales applications, designed to improve workflows and reduce administrative tasks.
Microsoft further specified that the new agents integrate with the 365 Copilot platform and allow users to interact with applications using natural language commands. Additionally, they bring greater automation to sales-related tasks.
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Microsoft’s Examples
Regarding the integration of these agents into its daily operations, Microsoft provided some examples. Jared Spataro, Chief Marketing Officer of AI at Work at Microsoft, stated:
Our ambition is to provide every employee with a Copilot. And to transform every business process with AI agents.
Today, we are announcing two new agents that apply this ambition to sales—the revenue engine for every company—which can be used directly within the workflow.
Significant moves have also been made by Google. In February 2025, the Mountain View company announced its latest version, Gemini 2.0, which is already available for use. It features enhanced multimodality and improved performance.
At the end of 2024, Alphabet CEO Sundar Pichai referenced the role of AI agents in development, stating:
“Over the past year, we have invested in developing multiple agentic models— Models that can understand more about the world around you.
Think several steps ahead. And act on your behalf, with your supervision.”
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