AI-Powered Browsing Experiences

We used to browse the internet. Soon, it’ll browse for us. The AI browser wars are just beginning, with Chrome, Comet (Perplexity) and Atlas (OpenAI) competing for the future of work. The browser used to be a passive shell. You searched, clicked, and navigated. AI browsers act, infer, and execute. Under the hood, most of them still run on Chromium. The difference lies in memory, context, and orchestration. Arc is rebuilding the user experience: cleaner design, smart tabs, and adaptive workflows. Comet leans agentic. It reads, fills, books, and compares for you. Atlas pushes further with persistent memory and API-level autonomy, turning the web into a workspace. These browsers are trying to out-execute Google, making the web a programmable layer that agents can act on safely. This is the start of the agentic web, where AI systems transact across sites, compare, verify, and close the loop. Search collapses into action. Monetization shifts from ads to execution. The endgame is negotiation: AI will browse, transact, and orchestrate across the internet while you oversee outcomes, not clicks.

The browser: the front line in the race to train AI. Perplexity just launched Comet. OpenAI is about to release its own browser. Google is defending its core business from both. Three players. One battleground: the browsing layer: where user behaviour is captured, interpreted, and transformed into the training data that shapes tomorrow’s models. For years, Google controlled the loop: Chrome collected user activity → Search interpreted intent → Ads monetized attention → Models improved in the background. Now, that loop is being re-engineered: 🔸 Comet puts an AI assistant at the centre of the browsing: summarising, acting, executing on your behalf. 🔸 OpenAI will go further with Operator, an embedded agent that performs multi-step tasks inside webpages. 🔸 Both are designed to turn every interaction into a signal for model fine-tuning and product evolution. The goal is data capture at the edge: building closed feedback loops to train increasingly adaptive, agentic systems. And this raises a key question for Europe. Because these data flows are live, granular traces of thought, preference, and decision-making. From a GDPR perspective, this introduces deep friction. 🔹 Personal data used for model training must meet strict consent, purpose limitation, and transparency requirements - conditions U.S.-based models currently struggle to satisfy. 🔹 Real-time, agent-driven data collection raises hard questions about legal basis, user control, and cross-border data transfers. Which brings us to privacy and regulation. 📍Comet promises local data storage and a no-training-on-personal-data stance. 📍 OpenAI is explicitly building its browser to observe user interactions for feeding its AI models. The alternative? A European AI browser ecosystem grounded in privacy-by-design. Qwant (France-based), and OpenWebSearch.eu are building AI-enhanced tools aligned with EU values: ▫️Local or anonymous data processing ▫️ Opt-in model usage ▫️ User agency at the centre ❗️This is a battle over who trains on the world’s digital behaviour and under what conditions. The next generation of AI is being shaped in the browser. And how EU responds will define not just competition, but trust, control, and compliance. #AI #data #AIgovernance #GDPR #stratedge

The End of Websites as We Know Them? What happens when AI does the searching and the browsing for you? For decades, the internet was built on one assumption: users visit websites to find what they need. That’s about to change. They’ll say websites will always be the foundation of the internet. They’ll argue businesses need direct traffic to survive. Maybe that was true—before AI became the new front door to the web. 🚨 The Old Web Model: • Users search → Click a link → Navigate a website • Businesses fight for SEO rankings to drive traffic • Monetisation depends on ads and direct engagement ✅ The AI-Powered Internet: • Users ask AI → AI pulls answers without needing a click • AI acts as an intermediary, filtering and synthesising content • Traffic bypasses traditional websites altogether This shift will break entire industries built on website visits: - SEO & digital marketing → Optimising for Google may be irrelevant if AI controls discovery - Advertising models → If fewer people visit websites, ad revenue collapses - E-commerce → AI-driven purchasing decisions could cut brands out of the equation - Media & publishing → News aggregators on steroids, but AI-generated So, what’s next? If AI is the interface, businesses must rethink their entire digital strategy. Instead of fighting for traffic, they’ll need to focus on being the source AI trusts and references. 🔹 Content must be structured, machine-readable, and high-authority 🔹 APIs over webpages—businesses will integrate directly into AI agents 🔹 Trust, credibility, and brand authority will become the ultimate competitive advantage The web is no longer a collection of pages—it’s becoming an AI-driven knowledge fabric. Are we ready for a world where websites are just the backend, and AI is the only “user” that actually visits?

GenAI is rapidly changing how people navigate the digital world with AI-driven traffic to U.S. retail, travel, and banking sites surging over 1,000% in recent months — doubling every two months since late 2024. What’s notable isn’t just the volume, but the quality. AI-driven users are more engaged — spending more time on site, viewing more pages, and bouncing less. While conversions still trail slightly, they’re improving fast as trust in AI grows. Consumers are now using AI for everything from product discovery and deal hunting to travel planning and financial advice. It’s becoming the new starting point for digital journeys. The next wave is already forming: agentic AI. These tools won’t just assist — they’ll act. From filling out forms to completing transactions, AI will increasingly execute tasks on behalf of users, pushing further into the commerce layer. This shift is rapidly reshaping traditional search. As AI captures intent earlier and takes action, the front door to the internet moves. Businesses must rethink how they show up — not just in search, but inside the AI itself. #ai

For decades, browsers have been passive windows. Tools to access information. That’s about to change. New AI-native browsers like Comet and Atlas, are becoming intelligent agents that act on your behalf. Instead of typing, scrolling, or toggling between tabs, you’ll describe your intent and the browser will handle the task. Want to research competitors, plan a trip, or build a campaign brief? The browser will pull from multiple sites, summarise results, compare options, and even generate outputs, all inside one interface. OpenAI’s Agent Builder previewed this future. It showed how websites themselves will adapt dynamically to user intent. But the real transformation lies in what sits above them: browsers that coordinate, interpret, and execute.  ↳ A travel site could instantly create a custom itinerary ↳ A financial platform could guide investors through data ↳ A retail site could explain products in plain language while comparing options across price & fit. The line between search, web, and workflow is disappearing. As discovery and action converge, the AI layer becomes the new operating system for how we use the internet. When your browser starts doing the work, how will your website keep up?

The search bar is dead. And most e-commerce platforms don’t even know it yet. After working closely with AI systems and recommendation engines, I’ve learned one thing: “Personalized shopping” was never truly personal. It was pattern matching. It was collaborative filtering. It was reactive logic pretending to be intelligence. Now we’re entering a different era. → From personalized to personal → From search-based discovery to proactive intelligence → From browsing endlessly to AI agents working for you This is agentic commerce. Traditional e-commerce makes you do the heavy lifting: Search → Filter → Scroll → Compare → Hope Agentic commerce flips the entire model: Describe what you want → AI delivers with context One of the most interesting examples I’ve seen is Glance. They are not building another shopping app. They’re building a contextual, agentic AI commerce layer powered by multiple specialised agents working together. Instead of one algorithm guessing what you like, Glance deploys multiple AI agents working for you in parallel: → Weather Agent analysing real-time climate and fabric suitability → Trends Agent tracking global shifts and micro-trends → Occasions Agent anticipating upcoming events → Physical Agent understanding your skin tone, undertones, and body type → Lifestyle Agent decoding your aesthetic preferences All coordinated by an orchestrator that synthesises everything into a unified styling strategy. That’s not basic personalization. That’s contextual intelligence. And the most powerful shift? You see yourself in the generated looks. Not stock visuals. Not generic models. You. Commerce becomes a conversation instead of a search box. From personalized to personal. AI agents working for you. Learning with every interaction. Refining your style instead of just tracking clicks. This is the rise of agentic commerce. #Glance #AICommerce #AgenticAI

🚀 𝗙𝗿𝗼𝗺 𝗢𝗻𝗲 𝗧𝗲𝘅𝘁 𝗕𝗼𝘅 𝘁𝗼 𝗮 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀. Remember when Google started with just one simple text box? You’d type a word, hit enter, and suddenly, Pandora’s box of information opened up. That single input field reshaped how the world accessed knowledge. Today, we’re on the edge of another transformation with Conversational UX and AI. We no longer just “search” or “click.” We ask, we interact, we converse. If we go back to classic UX heuristics, most digital experiences have always revolved around two modes: 𝗯𝗿𝗼𝘄𝘀𝗲 𝗼𝗿 𝘀𝗲𝗮𝗿𝗰𝗵. 👉 Browsing meant navigating categories, menus, filters. 👉 Searching meant typing and retrieving. Now, conversational AI blends these two, removing the friction of browsing while keeping the precision of search. The result? A dialogue where users don’t have to adapt to the system, the system adapts to them. At SilverFern Digital, we often ask ourselves: what is it that’s really making AI work today? And a funny observation came to my mind: AI isn’t inventing an entirely new way of interacting, it’s simply making the old way powerful again. We spent decades training people to use menus, buttons, filters, and forms and now we’re circling back to the most natural UX of all: just talking. Instead of spending 15 minutes setting filters on a travel website, you just say “Find me a beach destination under 4 hours away with flights under $300.” Instead of being overwhelmed by hospital portals, you ask “When’s my next appointment, and can I move it to next Tuesday?” Instead of scrolling through product reviews, you ask “Is this laptop good for video editing?” This is more than a shift in interface, it’s a shift in expectation. Users won’t tolerate complexity when a simple question can do the job. I can already imagine telling kids 10 years from now: “𝘞𝘦 𝘰𝘯𝘤𝘦 𝘩𝘢𝘥 𝘵𝘰 𝘴𝘤𝘳𝘰𝘭𝘭 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘩𝘶𝘯𝘥𝘳𝘦𝘥𝘴 𝘰𝘧 𝘎𝘰𝘰𝘨𝘭𝘦 𝘭𝘪𝘯𝘬𝘴 𝘵𝘰 𝘧𝘪𝘯𝘥 𝘢𝘯 𝘢𝘯𝘴𝘸𝘦𝘳, 𝘪𝘵 𝘸𝘢𝘴𝘯’𝘵 𝘦𝘢𝘴𝘺.” And they’ll laugh, because for them, the answer will always just be one conversation away.

Have you noticed how AI companies are suddenly launching their own browsers? Yes, this is a significant trend. OpenAI recently introduced Atlas and Perplexity launched Comet. At first glance, it might seem odd. Why would AI companies build something as “basic” as a browser? If you look closer, the answer becomes clearer. A browser is still the gateway to the internet. Even in a world of apps, most of our access to the web begins here. We search, read, and switch between tabs within it. By owning the browser, an AI company captures that gateway. Atlas aims to become your personal assistant across tabs, while Comet focuses on AI-driven productivity by integrating tasks, search, and summaries in one seamless flow. Here’s the fundamental reason. If users set your browser as default, and your search or assistant sits front and center, you are no longer just a tool, you become the platform. You start controlling the context of use, the data flow, and the entry point. From there, you can embed your AI, understand user behavior, and personalise experiences. But it all begins with owning the access gate. Of course, there are secondary reasons too. Embedded AI can summarise tabs, personalise content, automate workflows, and improve productivity. Features like memory, agents, and context awareness are how these browsers evolve into ecosystems. But without that “default browser” status, these features would remain at the edges. So next time a browser prompts you to “Make this your default browser,” take note. It’s not just about convenience. It’s the first step in making you part of a tech ecosystem, where the company behind the browser doesn’t just sit on top of the web, it lives inside it. Chrome still holds the largest market share among browsers, and it will be interesting to see how that changes or how Chrome itself evolves in this new wave of AI browsers.

Perplexity just announced they're building their own web browser called Comet for Agentic Search. Well done, Aravind Srinivas & team Perplexity! 👏🏽👏🏽👏🏽 This is a fascinating strategic move that has significant implications for the AI search wars - and it's also classic vertical integration. Perplexity is trying to move from being just an AI search application to controlling the full browsing experience. It's reminiscent of what we've seen repeatedly in tech: Amazon going from marketplace to logistics; Apple controlling both hardware and software; Tesla building their own batteries. The browser market is incredibly crowded, dominated by Chrome with established players like Safari, Firefox, and Edge. We're also seeing innovation from newcomers like The Browser Company's Arc and their upcoming Dia browser. But Perplexity has a unique advantage - they've already built a substantial user base doing over 100M weekly queries. They're attempting to leverage this to gain browser market share in a way that enhances their core search product. Perplexity’s product portfolio is growing at a rapid clip. Just this month, the company released a “deep research” product to rival offerings from OpenAI, Google, and xAI. That followed on the heels of two big debuts in January: an AI-powered assistant for Android and an API for AI search. What's clear is that Perplexity recognizes the browser is the gateway to search. By controlling this entry point, they can create a more seamless AI-powered experience while reducing their dependence on other browsers' limitations. Their browser strategy could either exacerbate tensions with publishers (who are suing them) or potentially give them new ways to address publisher concerns with built-in attribution and revenue sharing mechanisms. This move highlights that the real battleground for AI isn't just about building the best models - it's about controlling the user experience layer. Whoever owns the interface through which people access information will have tremendous influence over the #AI ecosystem. Are you AI ready?

It was the best of search, it was the worst of search. It was the age of instant answers, it was the age of disappearing links. It was the epoch of personalization, it was the epoch of lost discovery. It was the season of AI-driven clarity, it was the season of algorithmic opacity. It was the spring of conversational commerce, it was the winter of ten blue links. According to Adobe Analytics, U.S. retail websites saw a 1,200% increase in traffic from generative AI sources between July 2024 and February 2025. During the 2024 holiday season alone, this figure jumped 1,300% year-over-year, with Cyber Monday traffic spiking 1,950% compared to 2023. Consumer adoption is driving the shift. A survey of 5,000 U.S. shoppers found that 39% have used generative AI for online shopping, with 53% planning to do so this year. Users rely on AI for product research (55%), recommendations (47%), deal-hunting (43%), gift ideas (35%), product discovery (35%), and shopping list creation (33%). AI-generated traffic isn’t just growing—it’s more engaged than traditional sources. Visitors spend 8% more time on-site, view 12% more pages per visit, and have a 23% lower bounce rate than those from search or social media. Conversational AI interfaces are improving consumer confidence and making online shopping more intuitive. That said, conversion rates for AI-driven traffic still lag behind traditional sources by 9%, but the gap is closing. In July 2024, the difference was 43%, signaling growing consumer trust in AI-assisted purchases. Another key insight: AI-assisted shopping is happening on desktops, not mobile. Between November 2024 and February 2025, 86% of AI-driven traffic came from desktop users—suggesting that consumers prefer larger screens for complex, AI-guided shopping experiences. While the numbers are compelling, they only hint at what’s coming. AI-driven agents won’t just assist shoppers—they’ll shop for them. The way consumers find, evaluate, and purchase products is shifting fast, and this data is just beginning to tell the story. -s