The rapid emergence of the agentic web has left many of us pondering: Are we genuinely ready for this new frontier?
To get to the bottom of this, let’s start by addressing some foundational questions:
What’s the agentic web? How can it be utilized? What benefits and drawbacks does it present?
This piece is not aimed at pressuring AI skeptics to dismiss their valid queries regarding the agentic web.
Additionally, it doesn’t pass judgment on how you, as an individual or professional, engage with this digital landscape.
With diverse opinions swirling around the agentic web, I hope to offer some clarity, devoid of any marketing varnish.
Disclosure: While I am employed by Microsoft and have faith in their direction with the agentic web, my aim is to maintain a platform-neutral perspective.
Now let’s delve deeper into what exactly the agentic web entails.
The agentic web consists of advanced tools or agents, tailored to our preferences, that perform time-consuming tasks with our permission.
For instance, using one-click checkout allows me to transmit my payment details to a merchant seamlessly.
Neither the merchant nor I need to manage the minutiae; instead, I just consent to the transaction.
Curious about how AI defines the agentic web, I posed this question to four AI models, discovering intriguing variations in their answers.
Copilot describes it as a layer of the internet where AI agents turn human intentions into outcomes, keeping user choice intact. Gemini, Perplexity, and Claude offer similar but varyingly nuanced definitions.
Understanding these varying views helps underscore the fact that AI models are trained on differing data, resulting in diverse responses.
The clear sentiment divide arises from whether we view the agentic web as a user-friendly layer or an overwhelming digital entity.
Gemini mentions APIs, crucial for communicating within this space, emphasizing how saved preferences will increasingly play a role.
To truly grasp the agentic web, we must explore two protocols, ACP and UCP, that underpin its operations.
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The Agentic Commerce Protocol (ACP) focuses on actions initiated by express user intent, streamlining transactions via standardized AI interactions.
Meanwhile, the Universal Commerce Protocol (UCP) encompasses the whole shopping experience, facilitating interactions across platforms and payment systems.
ACP and UCP are not competitors; rather, they enhance different stages of the user journey, supporting precise or exploratory shopping needs.
So, what is the agentic web? Truthfully, it’s still evolving alongside user behavior, placing us in a position to shape its destiny.
Next, let’s explore how we can harness the agentic web, along with its potential benefits and pitfalls.
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Based on the unified theme of autonomous actions in its definitions, here are practical applications of the agentic web.
Consider delving into Elmer Boutin’s technical exploration of how schema will affect agentic web compatibility. Benjamin Wenner offers insights into PPC management in a full agentic ecosystem.
Let’s now focus on some consumer-centric applications, presented through tasks you’re already familiar with.
Five consumer applications of the agentic web are currently operational or in development.
1. Intent-driven Commerce
For example, stating “Find me the best running shoes under $150” allows an agent to handle the entire commerce process, optimizing around user intent.
By processing user intent, these agents provide a streamlined shopping experience, balancing guidance and user control.
Consumers enjoy reduced decision fatigue, while brands benefit from enhanced engagement and more direct consumer interactions.
2. Brand-owned AI Assistants
Brands can deploy their own AI agents, maintaining control over their customer interactions and providing consistently reliable support.
By utilizing first-party data, these assistants deliver faster responses while upholding the brand’s voice and accountability.
They enable global participation without sacrificing brand identity to larger platforms.
3. Autonomous Task Completion
Users can assign outcomes like “Prepare a weekly performance summary,” with agents autonomously executing the necessary tasks.
As agents mature, they evolve from task managers to independent analysts, optimizing results based on initial input.
This shift enables professionals to focus on strategic insights rather than logistics.
4. Agent-to-Agent Coordination
Agents can negotiate and coordinate with each other, streamlining processes like procurement or media buying.
This could revolutionize consumer and professional interactions, making them quicker and more efficient.
5. Continuous Optimization
Agents continuously learn from every action they take, improving their performance over time.
As they learn, interactions become increasingly personalized, and systems naturally enhance their effectiveness.
Understanding the pros and cons of the agentic web helps us make informed decisions about its integration into our lives.
Pros of Embracing the Agentic Web
We’ve already been conditioned to appreciate convenience. The agentic web proposes a future that embraces this concept fully.
Simplified interactions, characterized by interpreted user intent, represent the epitome of this streamlined process.
Cons of Embracing the Agentic Web
Brands may face challenges in adapting their content to align with AI systems while preserving human accessibility.
There’s the hazard of designing primarily for machines at the risk of losing the human touch.
Pros of Resisting the Agentic Web
Some users value human-centric experiences, suspicious of automated systems—leaning away can help build trust with this audience.
Cons of Resisting the Agentic Web
A complete detachment could impact visibility and limit access to emerging opportunities as the digital landscape evolves.
Many existing systems are built to integrate, preserving fundamental infrastructure rather than replacing it completely.
The agentic web is still evolving based on how we engage with it. Our understanding of it will guide us in determining its role in our lives.
Inspired by this post on Search Engine Land.
