EP 568: Perplexity's New Agentic Browser: 5 Business Use-Cases for ROI

Unknown Source July 16, 2025 38 min
artificial-intelligence generative-ai ai-infrastructure investment google openai apple microsoft
66 Companies
62 Key Quotes
4 Topics

🎯 Summary

Podcast Summary: EP 568: Perplexity’s New Agentic Browser: 5 Business Use-Cases for ROI

This episode of the Everyday AI Show focuses on the emerging category of Agentic AI Browsers, specifically highlighting the recent launch and capabilities of Perplexity Comment. The host argues that this development, rather than just new chatbots, represents the next major wave in generative AI adoption, as it allows AI to operate directly within the user’s primary digital workspace—the browser.

1. Focus Area

The primary focus is on Agentic AI Browsers, using Perplexity Comment as the central case study. The discussion covers the technical shift from virtual browser agents (slow, vision-based) to native, hybrid-architecture browser agents, and explores five practical business use cases for achieving ROI from this technology.

2. Key Technical Insights

  • Shift to Native Agentic Browsers: The industry is moving away from slower, computer-vision-based agents operating in virtual sandboxes (like early OpenAI Operator) toward agents integrated directly into the user’s actual browser environment.
  • Hybrid AI Architecture: Perplexity Comment utilizes a hybrid model, running simpler AI tasks locally on the device for speed and accuracy, while offloading complex tasks to the Perplexity cloud.
  • Chromium Foundation and Integration: Comment is built on Chromium, allowing for seamless import of existing Chrome profiles (passwords, bookmarks) and full compatibility with Chrome extensions, which is a significant advantage over proprietary solutions.

3. Business/Investment Angle

  • Browser as the Next AI Battleground: Major tech players (Google, Microsoft, OpenAI) are prioritizing the browser as the next control point for user interaction, seeing it as the closest proxy to controlling the desktop environment.
  • Immediate ROI Potential: Agentic browsers enable autonomous, multi-step workflows that directly save professional time (e.g., personalized research aggregation, document creation, and communication management).
  • The “Second Brain” Concept: By automating research and saving personalized outputs (like Google Docs) accessible via connectors, these agents help build an up-to-date, AI-accessible knowledge base across an organization’s tools.

4. Notable Companies/People

  • Perplexity: The company pioneering the agentic browser space with “Comment,” marking a strategic pivot away from solely competing as an answer engine against Google/OpenAI’s deep research modes.
  • Google & Microsoft: Mentioned as key players who are either experimenting with agentic capabilities (Google’s Project Mariner) or leveraging existing browser features (Microsoft Edge’s vision capabilities).
  • OpenAI: Reportedly also developing its own agentic browser, indicating broad industry consensus on this direction.

5. Future Implications

The conversation suggests the future of AI interaction will be less about visiting specific chatbot websites and more about AI operating seamlessly in the background of our primary work environment (the browser). This integration will lead to more complex, autonomous task execution, provided the underlying agent technology improves beyond initial hiccups. The host also notes Perplexity’s potential pivot toward becoming a superior iOS assistant, filling a gap left by Apple’s Siri.

6. Target Audience

This episode is highly valuable for AI Professionals, Business Leaders, and Technology Strategists who are seeking practical, immediate applications of generative AI to drive measurable ROI within their daily operations. It is specifically targeted at professionals looking to move beyond basic chatbot usage into true AI automation.


Comprehensive Narrative Summary

The podcast episode centers on the concept of Agentic AI Browsers as the critical next evolution in generative AI, moving beyond standalone chatbots. The host argues that major tech companies recognize the browser as the most valuable real estate for AI integration, second only to the operating system itself.

The discussion zeroes in on Perplexity Comment, which the host views as a successful strategic pivot for Perplexity, allowing them to compete effectively against the advanced research modes offered by Google and OpenAI.

Technical Deep Dive: The host contrasts Comment with earlier “computer-using agents” that relied on slow, error-prone virtual browsers and computer vision (illustrated by a failed attempt to automatically star LinkedIn messages). Comment’s advantage lies in its hybrid architecture and its foundation on Chromium. This allows it to run simpler tasks locally (edge AI) for better speed and accuracy, while also importing all existing browser settings and extensions, ensuring immediate usability.

Demonstration and Use Cases: The host provides live demonstrations showcasing Comment’s ability to execute complex, multi-step tasks autonomously, such as:

  1. Recapping a podcast episode, creating a Google Doc, saving it as a PDF, and attempting to email it (highlighting both success and the reality of occasional agent failure).
  2. Aggregating a daily digest by checking the host’s Calendar, Gmail, Twitter, and LinkedIn feeds to summarize meetings and trending topics—a significant time-saver.
  3. Cross-platform research: instructing Comment to analyze a specific chat history within the host’s ChatGPT account, extract five key research points, and then use Google Gemini to conduct deeper research on those five points.

The host emphasizes the transparency offered by Comment, allowing users to view the steps the agent is taking. The five business use cases (implied through the demos) revolve around personalized research aggregation, automated documentation, cross-platform data synthesis, and proactive daily briefing generation, all aimed at delivering tangible ROI by automating time-consuming professional workflows.

🏢 Companies Mentioned

Make ai_application
Zapier ai_application
OpenAI Operator ai_application
Nvidia ai_infrastructure
Adobe ai_user_enterprise
Microsoft Windows big_tech
Apple big_tech
So Microsoft unknown
IP Microsoft unknown
Once OpenAI unknown
Like I unknown
OpenAI Operator unknown
Agentic Trends unknown
Google Gemini unknown
LinkedIn DMs unknown

💬 Key Insights

"I think this is going to—agentic AI in the browser is going to replace a lot of current AI workflows, a lot of these, you know, I laugh when people call things like this agents, right? These N8 and you know, agentic workflows, even things in Zapier in Make. I think agentic AI browsers are going to replace so many of these other kind of quote unquote AI-powered workflows or agentic workflows because when it's happening locally, when it has access to all of your data, that changes what's possible."
Impact Score: 10
"this is coming for you whether you want it or not, right? Google's investing in this, OpenAI is going to be launching their agentic AI browser in the coming weeks, Microsoft in their Edge browser, they're really expanding their Copilot vision, and guess what? Once OpenAI releases their version of this, it's going to because the IP Microsoft gets that as well. So Microsoft is going to be rolling this out, Google is going to be rolling this out."
Impact Score: 10
"The fact that this is happening right now, this is amazing. This is amazing, right? We kind of got sniffs of this with OpenAI Operator, with Claude's computer use agent, you know, a little bit with Project Mariner, but the fact that this runs locally in your browser, right, I'm running into so many errors when I'm using more of the computer using agents, right? They're a little slower, a little less reliable just because the technology is not as solid as having this hybrid AI approach, having an agent AI browser. This is huge."
Impact Score: 10
"Five, approaches to building trustworthy human-aligned agents and auditability standards. That's great stuff."
Impact Score: 10
"one, agentic AI missile; and it was a little more agentic AI misalignment examples. That's a good one."
Impact Score: 10
"Look in my ChatGPT account for a certain chat, and I'm saying, 'Carefully comb through that information and find five highlights that I should go more in depth on. Then use Google Gemini to do more research on those five highlights.'"
Impact Score: 10

📊 Topics

#artificialintelligence 130 #generativeai 30 #investment 1 #aiinfrastructure 1

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Generated: October 05, 2025 at 01:44 AM