October 2025

October 2025 Newsletter

🚀 October 2025: Speed vs. Coherence

Here's marketing's new reality: We can now create more content than ever before. But here's the problem — so can everyone else.

So two races are happening right now. And most companies are only running one of them.

The first race? Speed. In B2B, half of all deals go to whoever replies first. Some companies still take days. Others respond in seconds using AI. That gap isn't small — it's the difference between winning and losing.

And for B2C campaigns? What took your team weeks now takes minutes. Amazon and Meta are offering it to everyone. Every competitor gets it next.

But here's the second race: To win with speed, you need to remain coherent.

Because speed alone creates chaos. Your social team says one thing. Your email team says another. Your sales team tells a different story to the same customer. Nobody's actually connected.

Sixty-five percent of marketers say integration is their biggest problem. Not creativity. Not budget. Integration.

Here's the truth: When everyone can create instantly, speed stops being the advantage — it becomes the baseline. The real advantage is staying coherent while moving fast, across every channel, every touchpoint, every conversation.

It's not about making more. It's about scaling your authenticity while everyone else is scaling their noise.

The companies that figure this out won't just move faster. They'll move faster while still sounding like themselves.

That's the race that actually matters.

  • Claude introduces Skills, a new feature that lets you teach the AI how you work. Instead of re-explaining your tone, structure, or process each time, you can now package your best methods, templates, and frameworks into reusable "Skills." From brand reports to market analyses, Claude will automatically recognize when to apply them—bringing consistency, quality, and your personal touch to every task. These Skills act as permanent contexts for efficient prompting, allowing users to onboard Claude like an employee using simple markdown files. My take: this will be especially interesting for specific marketing tasks where brand guidelines are often very precise and vital. In marketing, we constantly juggle different frameworks—formal emails for administrative matters, punchy copy for new launches, subtle tones for client relations. All those parameters (tone, structure, colors, logos) traditionally documented in brand charters can now live as Skills in Claude. The real game-changer? Future workflow orchestrators could use Skills at different stages of a single workflow. Instead of maintaining two separate processes—one for official admin communications and another for bold promotional content—you could have one unified workflow where the Skills component dynamically adapts the tone based on context. We often talk about automation as something that kills the "spirit" in processes that require subtlety. I feel like Skills could bring back that element of human touch — the spirit we currently find so hard to automate.
    | #Automation #Marketing | Anthropic | 2025/10/16
  • Anthropic has outlined effective methods for improving AI agent performance through context engineering. They warn of "context rot," where excess information creates confusion. Key strategies include using a minimal set of high signal tokens, extracting only necessary information for tasks, employing text embedding for better relevance, and utilizing a compaction technique to summarize steps and enhance execution efficiency.
    | #Automation | Anthropic | 2025/10/08
  • OpenAI showcased multiple new products during its third DevDay. One of them is the new Apps SDK, which promises to let developers build interactive apps directly inside ChatGPT. With this update (currently in preview), ChatGPT can now display buttons, forms, charts, or dashboards — not just text. Users can click and interact with these elements in real time. This means ChatGPT is no longer just a chat — it's becoming a place where people can explore and use full apps easily and smoothly. My take: For marketing, this opens exciting new possibilities. Imagine being able to schedule a meeting, run a quick survey about purchase motives, or even test full user journeys — all inside ChatGPT. Of course, there are still many "ifs." If ChatGPT continues evolving into a discovery and utility platform — much like Google did with its ecosystem — the balance between building standalone branded apps and in-ChatGPT experiences could shift significantly. Still, it's worth watching closely. If building such apps becomes easy, early adopters will gain visibility and learn fast, positioning themselves ahead of the curve during this transition phase. In short, AI assistants are no longer just content channels; soon, they may become spaces where brands host interactive, personalized mini-apps directly for their customers.
    | #Marketing #Operating System | OpenAI | 2025/10/06
  • OpenAI has launched AgentKit, a complete set of tools that helps developers build AI agent applications more easily. The toolkit includes Agent Builder for creating workflows with simple drag-and-drop, new evaluation features with datasets and automated prompt optimization, and ChatKit for adding chat features to websites—companies like Klarna and Clay are already using it for customer support and sales growth. Here's an example of what you can build: a website visitor chats with a ChatKit assistant, the Agent Builder workflow figures out if they want to buy something or need support, pulls customer data from your CRM if they're a potential buyer, creates personalized product recommendations and emails through an API, measures how well it's working with OpenAI Evals, and then improves the prompts for better results next time. OpenAI's strategy is clear—they want to make it easy for companies to use their AI agent technology by offering everything in one place: workflow tools (like n8n), AI model access with prompt management, and ready-to-use chat interfaces for websites. However, their long-term success will depend on how open their system remains, because competing platforms like [make.com](http://make.com/) have an advantage—they let you connect not just OpenAI tools but also many other services like video transcription tools or apps like Notion, which keeps the market very competitive.
    | #Marketing #Operating System | OpenAI | 2025/10/06
  • Here's a harsh and intriguing view, based on this year's McKinsey study: while eighty percent of companies claim to use AI, only one percent truly integrate it. Most confuse motion for progress—buying licenses, running pilots, and presenting slide decks instead of redesigning how work actually happens. The few that did transform look fundamentally different: they rewired workflows around models, not PowerPoints; retrained people to think in tasks, prompts, and guardrails; and placed AI governance next to the CFO, not buried in IT. They owned the work, not the model, mapping their top ten workflows by cost or time and redesigning them end-to-end with AI. They made it measurable, setting north-star KPIs like first-try-right rate, handle time, and rework percentage. They trained for behavior, not features, focusing on prompt patterns, decision checklists, and escalation rules. And they governed where money lives, bringing CFO. Because ultimately, AI ROI doesn't come from the model—it comes from the organization brave enough to break and rebuild itself to truly use it.
    | #Leader #Marketing | Steve Nouri | 2025/10/06
    McKinsey AI Study
  • OpenAI has introduced Agent Builder, a visual tool for creating AI workflows without coding. Users can utilize templates or develop custom workflows, test agent performance, and export as code or integrate into products. Example shown: a travel agent that classifies user requests, builds itineraries, or finds flights with live web data. My take: After tools like Zapier, [Make.com](http://make.com/), n8n, and big players like Google Opal and now OpenAI's Agent Builder, workflow tools are becoming mainstream. This is very important for marketing because campaign workflows can change often and need business knowledge. Having an easy tool to manage them will strongly impact the industry — business people will react faster, and being fast to respond builds a competitive advantage. Customers usually trust companies that quickly react to their needs.
    | #Automation #Marketing | OpenAI | 2025/10/06
  • OpenAI presented several major updates at its third DevDay, showing how ChatGPT is becoming a full platform rather than just a chat tool. With the new Apps SDK, developers can now build interactive apps directly inside ChatGPT — including buttons, forms, or dashboards. AgentKit and Agent Builder make it easier to create custom AI workflows, while ChatKit allows brands to personalize the entire chat interface. Evals brings better performance tracking. Codex will serve as the main access layer for companies, offering secure and managed connections to ChatGPT, integrations with tools like Slack, and enterprise controls such as user permissions and data management. It's mainly a backend gateway for teams and developers, not something the average user interacts with directly — but it will make ChatGPT more seamlessly available across corporate tools. Finally, two new models expand ChatGPT's creative and real-time abilities: Sora 2, focused on generating realistic, high-quality videos for marketing and storytelling, and Realtime Mini, designed for instant, low-cost voice and audio interactions that enable more natural conversations. Implication for marketing leaders: ChatGPT is evolving into an interactive workspace where brands will build mini-apps, automate workflows, and personalize experiences directly inside the chat. If ChatGPT continues in this direction — becoming the new "Google" for product and service discovery — those who start experimenting early could gain a first-mover advantage as AI assistants turn into powerful new engagement platforms.
    | #Leader #Marketing #Operating System | OpenAI | 2025/10/06
  • OpenAI's 800 million users mark impressive adoption speed. My take: Yet Google Search alone still leads with around 5 billion users — and its broader ecosystem spanning YouTube, Gmail, Maps, and Android reinforces this dominance. The gap is enormous if OpenAI aims to become the main discovery platform. The race is on, and it's crucial to keep a finger on the pulse — because once users begin shifting to a new dominant platform, the entire marketing journey will transform even more dramatically than it already has today.
    | #Leader #Marketing | OpenAI | 2025/10/06
  • AI-driven search is transforming web traffic from volume to value. Visitors arriving through AI tools are fewer but far more qualified, often converting at dramatically higher rates — especially in B2B, where buyers now use generative AI to filter vendors and guide decisions. Platforms like Reddit, prized for authenticity and expertise, are increasingly favored by AI systems, though they remain wary of overt marketing. This shift demands tailored, credible content strategies. While AI accelerates execution, human oversight ensures originality and trust. Only nine percent of indexed content is fully AI-generated, proving that the winning formula blends machine precision with authentic, human-driven perspective.
    | #Marketing | MarTech | 2025/10/02
  • Employee-generated content (EGC) is becoming a new engine of authenticity and engagement for fashion and beauty brands. As audiences grow tired of hyper-polished influencer marketing, companies are turning to their own teams to tell real stories. From Loewe's artisans and Marc Jacobs' creative studio to Fenty Beauty's IT team, employees are stepping in front of the camera to share unfiltered moments that humanize their brands. Authenticity now matters more than perfection — and behind-the-scenes voices inspire stronger trust than paid influencers ever could. My take: In the age of AI-generated spam, employee satisfaction might become an even more critical asset. To stand out from a flood of synthetic ads, employees can play a unique role by creating authentic, unscripted content that shows real passion and creativity. Those short videos where employees aren't just reading a corporate script but doing something on their own — driven by passion, curiosity, or enthusiasm for the brand — could become a key differentiator. After all, if anyone can make an AI-generated video, why aren't employees themselves already making authentic ones about their brand?
    | #Marketing | Vogue Business & Brandon Smithwrick | 2025/10/02
  • Reddit, recently highlighted as one of the most cited sources by ChatGPT, has experienced a sharp 82% drop in AI citations from the model — leading to a 15% decline in stock value and billions in market losses. While user activity remains stable, the shift reveals critical vulnerabilities in AI visibility and strategic dependence. As one observer noted, "We're not just building on platforms anymore — we're building on whether AI models can see those platforms." My take: This moment perfectly illustrates how central AI has become to modern marketing. When an algorithm can redirect the majority of your audience's attention in seconds, it reinforces Seth Godin's timeless insight that "marketing is distribution."
    | #Marketing | Jake Ward | 2025/10/02
  • Meta will begin using data from more than one billion AI chats each month to power targeted advertising across Facebook and Instagram — marking a major shift in how conversational data fuels its business. The company's updated privacy policy, effective December 16, allows it to analyze user interactions with Meta AI across multiple products — including chat conversations, images, and voice inputs from its chatbot, Ray-Ban smart glasses, AI video feed Vibes, and image generator Imagine. By studying these exchanges, Meta aims to give advertisers a much deeper understanding of user interests and behavior — going far beyond traditional tracking methods like clicks or likes. Users cannot opt out of this data usage, except in regions such as the EU, UK, and South Korea, where strict privacy laws prohibit it. My take: Meta is turning everyday AI chats into a powerful new source of advertising data — effectively monetizing user conversations to personalize ads. This represents a new business model that others, like OpenAI or Google, haven't officially adopted yet. The real question is how users will react once they realize their AI interactions feed ad targeting. Some may turn to "neutral" AI tools for private or sensitive topics, while keeping Meta's AI for lighter, entertainment-driven chats. Either way, it's a major turning point in how AI tools and advertising begin to merge.
    | #Marketing | TechCrunch | 2025/10/01
  • OpenAI has launched Instant Checkout for ChatGPT users, enabling direct purchases from U.S. Etsy sellers and soon Shopify merchants. The feature currently supports single-item purchases, with plans to introduce multi-item carts later. Built on the open-sourced Agentic Commerce Protocol, this move positions ChatGPT as a major emerging player in AI-driven e-commerce. My take: This is a pivotal move. As AI assistant discovery becomes mainstream, purchasing directly within conversations could soon feel entirely natural. If this trend grows, it may shift the entire customer journey into AI chat interfaces, redefining who holds influence across the ecosystem. The question is whether e-commerce giants will let this happen. Amazon, for example, is already investing heavily in its own AI assistant to stay relevant. In practice, we might first see lower-cost or second-hand items purchased through ChatGPT, while high-ticket products (like a MacBook with custom options) follow once the behavior becomes more mainstream. Still, this marks a new frontier—and a strong reminder that visibility and optimization for AI crawlers will soon be as crucial as SEO once was for search.
    | #Marketing | Marketing Dive | 2025/10/01
    ChatGPT Instant Checkout
  • Sora, OpenAI's new social app, has officially launched. It allows users to create AI-generated videos of themselves and share them in a TikTok-style feed. In the app, people can generate their digital likeness, called a "cameo," by uploading a short video of themselves. The latest update promises the ability to replicate not only humans but also pets or even imaginary characters. Under certain conditions, other users can create realistic videos using someone's cameo. The results look incredibly lifelike, setting a new standard for realism and character control — especially valuable for storytelling where the character needs to remain consistent across different scenes. The internet is now overflowing with videos made using Sora. My take: The idea of building a TikTok-like platform filled with AI-generated videos — whether of well-known characters or yourself — is a bold new tactic, and its long-term outcomes are hard to predict. To me, this looks more like a strategic side project designed to popularize one of OpenAI's video models on a massive scale. Seeing how powerful TikTok's viral mechanics have been, OpenAI likely believes that a "mixed" platform — blending human and AI-generated content — could drive model adoption. Eventually, the Sora app itself may serve as both a showcase and a user of OpenAI's own video models, helping justify continued investment in their improvement.
    | #Marketing | TechCrunch | 2025/10/01
  • Apple's new iOS 26 update is introducing a new feature called the "Unknown Sender" SMS filter. This filter automatically separates messages from numbers that aren't saved in your contacts and looks for signs of spam. Messages that seem suspicious will go into a different folder instead of your main inbox. This change could seriously affect brands that use SMS marketing, because many people don't save company numbers. That means some brand messages — like delivery alerts, sales offers, or appointment reminders — might never reach the main inbox. To stay visible, brands will need to create more strategic and personalized messages that don't look like spam and can still get attention from customers. My take: AI is quietly changing how we communicate — both ways. We already use AI tools like ChatGPT to find products and ask questions, which changes how we discover things. Now, AI on our phones (like iPhone's assistant) is starting to filter and prioritize what messages and calls reach us. We're already seeing live call transcripts, where users can read what a caller says before deciding whether to answer. In the future, this kind of AI assistance could become even smarter — deciding which messages, ads, or calls deserve our attention and which ones don't.
    | #Marketing | MarTech | 2025/10/01
  • Google has integrated its Gemini AI assistant directly into the Chrome browser for U.S. users, marking a major step in how browsing and AI interaction converge. Gemini can now answer questions, summarize open tabs, clarify information, manage tasks like scheduling, and even reopen closed sites — all from a button in the top-right corner of Chrome. Soon, it will also connect more deeply with Google apps like Calendar, YouTube, and Maps, allowing it to book appointments, recall browsing history, and act seamlessly across the Google ecosystem. This update comes as Chrome faces increasing competition from AI-driven browsers developed by OpenAI, Anthropic, and others. My take: This move shows how fast the AI-powered browser era is emerging — with tools like OpenAI Atlas, Claude's browser extension, Comet by Perplexity, Opera Neon, and now Google Gemini all competing for the same user attention layer. For users, it means richer, more personalized web experiences; for marketers, it changes the rules of visibility. As people start relying on AI assistants to navigate, summarize, and decide what to see, brands will need AI-optimized, machine-readable content to stay relevant in search and discovery. Strategically, browser-level integration is crucial: operating from within your own browser lets AI agents act through your digital identity — making them far less likely to be flagged as bots or blocked by websites.
    | #Marketing | Cnbc | 2025/10/01
  • More and more marketers use AI to work faster and make more content — 91% say it helps. But people are losing trust in AI: only 25% see it as good, and 82% still prefer talking to humans. My take: At first, AI-generated content will give early companies a big advantage, as it's new and lets them create more content with the same resources. But once everyone starts producing a massive wave of AI content, marketing could turn into a spam machine — and people might reject AI because most of what they see will feel generic, repetitive, and spam-like rather than authentic. We've already seen this story before with email: at the beginning, it was an exciting new tool, but over time, some actors turned it into a spamming channel. The goal now should be to build smart systems that keep content authentic, relevant, and human. Core workflows must focus on authenticity, helping brands stand out from the flood of AI spam. Creating content with AI is only the first step — the real goal is to use AI to scale your authenticity.
    | #Marketing | MarTech | 2025/10/01
  • Working together is must have to solving integration problems in marketing. A recent study showed that 65.7% of marketers say integration is their biggest challenge in 2025, and about 25% worry about data silos. My take: with this new wave of technologies, this insight is becoming vital for marketing — AI won't transform your marketing unless your tools, teams, and processes work together.
    | #Marketing | MarTech | 2025/10/01
  • Marketing says it can quickly help customers, but this isn't true for all companies. Half of business deals go to those who reply first, showing how speed matters. Many factories are spending money on AI to help their supply chains and customer service. However, some are still using old systems, which slows them down. Most buyers say they wait too long to get answers, which can change their choice to buy. Faster replies can help companies earn 5% more money. It's important for marketing and operations to work better together for happy customers. My take: It's not sponsored by Notion — but helpdesk teams for this new wave of tools, like Notion, can sometimes start debugging your IT issue within minutes, even seconds, thanks to AI-driven workflows. That's a real game-changer. The gap between companies responding in seconds or minutes versus days or weeks will feel enormous to customers. Because that difference is so dramatic, speed could soon become the main factor in preventing churn — and perhaps even redefine what "premium service" really means. AI-driven companies may soon compete with traditional ones purely on reaction time. We're not quite there yet, but given how fast this evolves, the future might arrive faster than we think.
    | #Marketing | Martech | 2025/10/01
  • AI summaries — especially Google's new AI Overviews, which show short answers instead of links — may hurt the internet by taking attention away from original websites. This means fewer people visit news or media pages, so publishers earn less money. Penske Media says Google's new feature already makes their content harder to find. My take: Because Google Search is still the main way people discover and research things, its move toward AI answers will strongly shape how we use the web in the future — and this trend will probably continue.
    | #Marketing | The Verge | 2025/10/01
    Google AI Summaries
  • Amazon Ads has launched a new agentic AI Creative Partner inside its Creative Studio — a tool designed to help brands produce ads in real time through an intuitive chat interface. It can automatically generate videos, images, and audio ads, offering tailored concepts based on Amazon's vast retail insights. Advertisers can collaborate directly with the AI to build and customize storyboards, making professional-quality ads faster and more cost-effective. Companies like Nestlé and BTR Media say the tool delivers valuable insights and helps mid-market advertisers scale creative production in ways that were previously impossible. My take: Big technology platforms like Amazon, Meta, and soon likely Google — and perhaps OpenAI as well — are racing to build their own AI-powered ad ecosystems. This shift challenges traditional marketing systems such as Salesforce, Adobe, and HubSpot, which must now adapt to a new era where AI creation tools drive demand, and workflow orchestration becomes even more critical. The key question for marketers is shifting from "How do we make AI ads?" to "How do we manage AI-driven ad workflows while staying authentic?". As AI makes ad production effortless, the internet will be flooded with synthetic content — and the brands that truly stand out will be those that keep authenticity, personality, and trustworthiness at the heart of every campaign.
    | #Automation #Marketing | Amazon | 2025/10/01
  • Notion, one of the world's most popular note-taking and productivity apps, has introduced its first AI agent capable of generating notes, analyzing content, and creating reports from Notion databases. Users can activate the agent through integrations with platforms like Slack and Google Drive, with future updates set to include scheduled actions. My take: Notion is a unique platform—it started as a note-taking app but has evolved into a much broader workspace with native databases, project management tools, and team collaboration features, all seamlessly integrated with external ecosystems. For small businesses, it can cover many CRM and sales functions, making it a strong choice for B2B sales and marketing. With the new AI agent, Notion is well positioned to unlock new use cases—such as a personal assistant that analyzes your daily notes to automate recommendations and streamline everyday workflows across both business and personal life.
    | #Automation #Marketing | TechCrunch | 2025/10/01
    Notion AI Agent
  • Clayton Christensen, the late Harvard professor behind the theory of disruptive innovation, showed how new models reshape industries by lowering barriers and enabling faster, more adaptive ways of working. In a similar spirit, marketing today seems to be living this shift: the move from rigid, assembly-line processes to Positionless Marketing could represent a new form of disruption in action. Rather than predefined roles and slow approval chains, teams act fluidly—thinking, creating, and responding in real time. With data and AI accelerating insights, marketers can instantly adapt campaigns to what customers want now. This flexibility fuels growth and loyalty, especially in B2B, where communication becomes faster, more conversational, and customer-driven. My take: The reality likely lies somewhere in between. Marketing shouldn't turn into endless, positionless noise — it still needs structure to operate within a company's values, workflows, and authenticity. Yet, HubSpot's Loop Marketing approach reflects this broader trend, and the change might be happening faster than we think.
    | #Marketing | MarTech | 2025/10/01
  • OpenAI is hiring a Growth Paid Marketing Platform Engineer for its ChatGPT growth team, focused on ad-platform development. Rumours suggest the company plans to monetize free users through advertisements by 2026, targeting 700 million weekly users. The role involves building APIs, optimizing ad spend, and potentially enabling autonomous campaign management. My take: If OpenAI really moves toward ad-based monetization, it could look very different from traditional ad models. From Sam Altman's recent remarks, it's clear he understands how fragile user trust is — especially when people rely on ChatGPT for reasoning and decision-making, not just entertainment or scrolling. Unlike Google or Meta, which blend ads directly into the content stream, OpenAI seems intent on keeping the LLM's output "pure" — no hidden bias, no paid ranking. Instead, monetization could come from "adjacent experiences": clearly separated modules beside the chat where users can interact with recommended tools, buy products, or complete transactions in ways that feel aligned and genuinely useful — not manipulative. In other words, AI advertising might evolve from attention extraction to intent fulfillment — a shift from selling clicks to delivering real value.
    | #Automation #Marketing | MarTech | 2025/10/01
  • OpenAI has launched Sora 2, its new flagship model for video and audio generation, introducing major advances in realism, physical accuracy, and user control. The model can now simulate complex human and environmental actions that follow the laws of physics — marking a major leap forward in generative video quality. My take: After Google's Veo 3 and Chinese models like Wan 2.2, we're seeing another big leap that further narrows the gap between AI-generated and "real video". It's already been proven that we can prompt a Super Bowl–quality ad entirely with AI. Now, with these new-generation models, it's possible to create authentic-looking videos that feel like something someone could have filmed in their own room or garden — yet are fully AI-made. However, as the web fills with AI-generated content, authenticity will become the new differentiator. The irony is that AI will soon be able to generate "authentically fake" videos — content that looks genuine and human-made. But true authenticity isn't just filming yourself in a room with a bad camera; it's about consistency and coherence across all your content. That, in turn, will require orchestration — the ability to scale authenticity across every channel and format.
    | #Marketing | OpenAI | 2025/10/01
  • Interesting take from Emily Kramer on how B2B marketing is evolving in 2025 — it's all about authenticity and differentiation. AI has flooded every channel with similar content, so if what you create isn't something only your company can make — and distribute with purpose — it fades into the noise. The best B2B teams are building account-driven foundations, using data to define exactly who they target and how to reach them, while focusing on high-impact campaigns instead of fragmented content plans. Behind it all are new hybrid teams — humans who think across product, growth, and content, powered by AI copilots. As Emily says, these are the Gen Marketers — the next generation built on creativity, data, and authenticity.
    | #Marketing | MKT1 | 2025/10/01
    B2B Marketing Evolution
  • Interesting take from Pierre Herubel about how content is now a red ocean — easy to produce but hard to make truly matter. AI has lowered entry barriers, flooding feeds with cloned ideas and recycled frameworks, while audience attention remains the same. Many marketers keep tweaking hooks or formats, yet that's no longer enough. The winners will stand out by grounding content in real experience, not theory; by sharing lived insights, not AI summaries; and by building strategies that are uncopiable through authentic perspective and personality. In this crowded landscape, visibility no longer equals value — the only real moat left is authenticity and proof of real work.
    | #Marketing | Pierre Herubel | 2025/10/01
    Content Red Ocean
  • Linear TV viewership is declining as audiences shift to connected TV options like YouTube TV. This transition creates challenges for advertisers, who must rethink their strategies and explore new video formats. YouTube's ad sales are increasingly competing with traditional TV advertising revenues. According to WARC's report, these changes will affect media planning, frequency management, and measurement across the television advertising landscape. My take: This shift will accelerate the move toward campaign orchestration, as large-scale awareness campaigns — traditionally driven by TV and outdoor banners — start to migrate to streaming TV. In the past, launching a major TV awareness campaign often preceded more tactical activations through direct channels. Now, we can imagine a more integrated approach, where streaming platforms bridge brand awareness and performance, allowing marketers to manage the full funnel — from visibility to conversion — within a single connected ecosystem.
    | #Marketing | WARC | 2025/10/01
  • According to Arthur Mensch, CEO of Mistral AI — the French AI leader — artificial intelligence becomes less effective when overloaded with too much company context and too many tools. While it can handle limited complexity (for example, "five tools with clear descriptions"), it quickly loses efficiency when faced with a hundred. Moreover, it still struggles with creative and inventive reasoning. My take: The same pattern appears across all major AI systems — too many tools and too much chaotic context make large models lose focus and coherence. In marketing, this means we shouldn't expect a single AI model to "understand everything" at once. Instead, we need a unified workspace where all tools are connected, but each step of the process is clearly defined. Take customer segmentation as an example. Data often sits across multiple CRMs, campaign tools, and communication platforms. Asking one model to "analyze everything and build a strategy" will only create noise. But if we break the process down — one agent analyzing customer data, another assessing campaign performance, and another aligning messages with brand strategy — their combined outputs can form a sharper, more actionable strategy. It's similar to management: giving someone an overly broad task with too many inputs rarely yields precise results. Precision comes from iteration — testing, refining, and narrowing the scope. The same applies to AI systems: complex goals should be divided into smaller, specialized workflows. Each agent should master one focused task — and together, they can produce something far more coherent and strategic than any single model alone.
    | #Automation #Marketing | Arthur Mensch | 2025/10/01
  • ChatGPT Pulse is a new mobile feature for Pro users. It provides personalized insights based on interactions and connected apps. Pulse delivers daily information cards each morning, stored temporarily, and integrates with Gmail and Google Calendar to contextualize its suggestions. This feature anticipates user needs while maintaining strong security controls. Its goal is to optimize access to relevant information. My take: Throughout tech evolution, every major ecosystem has already attempted to democratize a similar module — from Microsoft's early Office Assistant ("Clippy") to Google Assistant Snapshot and Apple's Siri Suggestions. However, this time, since OpenAI holds deeper personal context for some users, Pulse could represent a new phase in proactive AI assistance — one where the assistant helps manage daily routines autonomously. For marketing, if this capability continues to grow, it should be viewed as an important new step in the customer journey — a shift toward AI agents that anticipate needs rather than merely respond to them.
    | #Automation #Leader #Marketing | OpenAI | 2025/10/01
  • Nvidia just hit a $5 trillion valuation — richer than almost every nation. Markets soar, investors rejoice, yet AI-driven layoffs spark fears of an impending bubble.
    | #Leader | nbcnews | 2025/10/30
  • After the recent announcement, ChatGPT seems to be evolving into an integrated operating system. OpenAI has partnered with brands like Canva and Zillow to enhance user interactions. New SDKs — including the App SDK and AgentKit — were introduced for developers, along with major API updates such as GPT-5 Pro. Codex usage has reportedly surged tenfold following recent improvements, with a live demo showcasing how quickly developers can now create and deploy agents.
    | #Leader #Operating System | ZDNET | 2025/10/07
  • OpenAI integrates third-party apps into ChatGPT to enhance user experience. Users can access apps like Spotify and Canva during conversations. The platform evolves into a contextual interface, suggesting applications based on user queries. Developers can publish apps, competing with major tech companies like Apple and Google. While monetization details are still unclear, OpenAI has confirmed developers will have ways to generate revenue from their apps in the future.
    | #Operating System | MarTech | 2025/10/07
  • ChatGPT has launched an app store enabling direct interactions within its interface. Users can book flights through Expedia, browse homes on Zillow, and receive contextual assistance based on their calendars and emails. This approach may signal OpenAI's strategy to manage apps with connectors, providing a seamless experience without relying on a traditional browser.
    | #Leader #Operating System | OpenAI | 2025/10/06
  • Meta has launched its new smart glasses called Ray-Ban Display, designed to change how people interact by reducing phone use. The glasses include advanced cameras, an AI assistant, and can connect to apps like Instagram and WhatsApp. They also come with a wristband that lets you control the glasses with small hand movements, so you don't need to touch them directly. My take: It's like when smartphones first appeared — the company that found the best interface created a new market. Today, glasses are interesting, but the question of how to interact with the screen in front of the eyes is still open. Once people get used to this new interface, it could have a huge impact on marketing and communication.
    | #Device | TechCrunch | 2025/10/01
    Meta Ray-Ban Display
  • 1X has unveiled the Neo Home Robot, marking one of the first humanoid, consumer-grade robots available for rental or purchase. It's not perfect yet — the system is still learning — but that's precisely the point: human operators can remotely assist and even take control when needed. Neo can handle chores such as vacuuming, folding laundry, washing dishes, and watering plants, though not cooking. Available for $20K or $499 per month, it connects via 5G or Wi-Fi, self-charges, and allows users to schedule or train tasks through an app. With a 2026 release date, Neo enters a growing field of humanoid assistants such as Figure 03, signaling the beginning of an era where home robots gradually learn and evolve under human supervision. My take: It still feels a bit strange — but then again, so did Roomba robot, ChatGPT, or smartphones without physical keyboards when they first appeared. Smart homes with AI-driven robots are clearly becoming a trend. As robots become more common, customers will grow used to an automated approach to everyday life. At some point, not offering equivalent automation may even feel "not adapted" for these users. Moreover, once these home robots connect to AI assistants like Gemini or ChatGPT, product discovery and service interaction will increasingly happen through these intelligent devices — reshaping how brands reach consumers in the physical world.
    | #Marketing #Robots #Supply | TechRadar | 2025/10/29
  • Waymo is bringing its SUVs and vans to Denver and Seattle, starting with manual driving before robotaxi trials. Denver may get rides next year, Seattle awaits permits. Expansion also targets Dallas, Miami, D.C., and more.
    | #Robots #Supply | TechCrunch | 2025/10/02
    Waymo Expansion
  • DoorDash, originally a food delivery company, is now expanding into robotics to improve how deliveries are made. It has introduced Dot, an autonomous delivery robot designed to operate at 32 km/h and carry up to 13.6 kg. Currently being tested in Phoenix, Dot focuses on the "first and last ten feet" of delivery — the short, tricky part between the delivery vehicle and the customer's door. Equipped with sensors, AI navigation, and a swappable battery, Dot aims for wider rollout by 2025, showing how DoorDash is turning from a pure food delivery platform into a tech-driven logistics innovator. My take: It's probably the sixth major U.S. company proposing robots for last-mile delivery — joining players like Nuro, Starship, Serve Robotics, Kiwibot, and Avride — but with a unique advantage of owning its own delivery network and customer data.
    | #Robots #Supply | TechCrunch | 2025/10/01
  • New York City regulators have extended Waymo's autonomous vehicle testing permit until the end of the year. Waymo can deploy eight Jaguar I-Pace vehicles in Manhattan and Downtown Brooklyn, with a human safety operator required to be present. The extension signals progress toward a potential robotaxi service in NYC, despite ongoing operational challenges and licensing uncertainties.
    | #Robots | TechCrunch | 2025/10/01
    Waymo NYC Testing
Next
Next

September 2025