About
Marketing doesn't have an AI-tool problem. It has an operating-system…
Services
Articles by Arnaud
Activity
20K followers
-
Arnaud Fischer shared thisAI isn’t adding another marketing channel. It’s adding intelligence across virtually all of them at once. That’s why I believe AI Marketing Operating Systems are emerging as a new category. The opportunity is bigger than models or agents: connect business strategy, context, orchestration, execution, measurement and human judgment into one system. I explore the category, the ecosystem taking shape, and where it may be heading in my new LinkedIn article: AI Marketing Operating Systems: A New Category Is Taking Shape #AIMarketing #MarTech #AgenticAIAI Marketing Operating Systems: A New Category Is Taking ShapeAI Marketing Operating Systems: A New Category Is Taking Shape
-
Arnaud Fischer shared thisI’ve seen a few technology cycles up close, and this one feels familiar in one way: the real value starts to emerge when the pieces connect. What’s different with AI is the speed, scale, and the need to keep human judgment at the center.Arnaud Fischer shared thisThe next phase of AI marketing may not be another AI tool. It may be the operating layer that connects them. Models are proliferating. Agents are becoming more capable. Advertising, CRM, social, analytics, content and customer-experience platforms are all becoming increasingly intelligent. The opportunity is to make those capabilities work together around a shared business purpose. This latest industry perspective explores the emerging AI Marketing Operating System: Business Strategy → Context & Intelligence → Agentic Orchestration → Specialized Execution → Measurement & Learning With Human-in-the-Loop, Governance & Compliance across every layer. The goal isn’t maximum automation. It’s the right intelligence, the right autonomy and the right human judgment for each decision. https://lnkd.in/gZEEKaDu #AIMarketing #MarketingOS #AgenticAI #EnterpriseAI #MarTech #MarketingTransformation
-
Arnaud Fischer shared thisThe shift I’m seeing is clear: AI advantage in marketing won’t come from adding more tools - it will come from building a better operating system around them. That’s the thinking behind mAI: AI Marketing OS + AI Marketing Brain + Human Command. Marketing run as a system, with people firmly in command.Arnaud Fischer shared thisThe future CMO will not be defined by how many AI tools they adopt. They will be defined by how well they orchestrate strategy, people, data, governance, and execution as one intelligent marketing system. In this LinkedIn article, I explore why marketing leadership is shifting from campaign management to systems design—and why the next competitive advantage will come from a better operating model, not another point solution. The model is simple: AI Marketing OS runs the work. AI Marketing Brain improves the work. Human Command protects trust and accountability. The result is marketing that becomes more repeatable, explainable, measurable, and continuously improving. #AIMarketing #CMO #MarketingLeadership #EnterpriseAI #MarketingOperations #DigitalTransformation #marktgAI
-
Arnaud Fischer shared thisAI doesn't create enterprise value. Measurable outcomes do. Most organizations have adopted AI. The real question is: Is it making marketing better? Not by producing more content—but by improving Productivity and Precision. This article shares why measuring AI by outcomes—not activity—is the key to realizing real business value. Because AI shouldn't be judged by what it creates. It should be judged by what it improves. #AI #MarketingAI #EnterpriseAI #MarketingLeadership #DigitalTransformation #Productivity #MarketingStrategyAI Doesn't Create Enterprise Value. Measurable Outcomes Do.AI Doesn't Create Enterprise Value. Measurable Outcomes Do.
-
Arnaud Fischer shared thisAI adoption is no longer the challenge. Demonstrating measurable business value is. That's exactly why I believe Productivity and Precision should be the metrics that matter.Arnaud Fischer shared thisAI doesn’t create enterprise value. Measurable outcomes do. Too many organizations measure AI by activity: content produced, campaigns launched, and workflows automated. The P² Framework measures what matters: ⚙️ Productivity — faster execution, less manual work, and lower reporting latency through the AI Marketing OS. 🎯 Precision — better targeting, stronger decisions, and improved marketing ROI through the AI Marketing Brain. Productivity without precision creates faster mistakes. Precision without productivity limits scale. Enterprise value requires both—supported by explainability, human approval, compliance, and auditability. Read the new article: https://lnkd.in/gxJUnXJT #ArtificialIntelligence #AIMarketing #MarketingStrategy #MarketingOperations #EnterpriseAI #MarketingLeadership #P2Framework #marktgAI
-
Arnaud Fischer shared thisAI without governance doesn't create intelligence - it scales risk. Many organizations are racing to automate marketing, but automation without context, explainability, and human oversight rarely delivers sustainable results. This article explores why Governance Before Automation is the foundation of enterprise AI marketing—and how combining an AI Marketing OS, AI Marketing Brain, and Human Command creates trusted, measurable outcomes. #AI #AIMarketing #EnterpriseAI #ResponsibleAI #MarketingLeadership #Governance #marktgAIGovernance Before Automation: The Missing Foundation of Enterprise AI MarketingGovernance Before Automation: The Missing Foundation of Enterprise AI Marketing
-
Arnaud Fischer shared thisEnterprise marketing doesn't need more AI tools. It needs better decisions. As organizations add more AI, many are also accumulating what I call Decision Debt—more dashboards, more recommendations, and more complexity, but less clarity. The next competitive advantage won't come from better prompts. It will come from better decision systems. This LinkedIn article explores why the future of enterprise marketing lies in combining an AI Marketing OS with an AI Marketing Brain to deliver explainable, governed, and continuously improving decisions. Do you think AI's biggest challenge today is the technology—or the way organizations make decisions? #ArtificialIntelligence #EnterpriseAI #MarketingLeadership #DecisionIntelligence #DigitalTransformation #AIMarketing #marktgAIThe AI Marketing Brain: Enterprise Marketing Doesn't Need More AI Tools. It Needs Better Decisions.The AI Marketing Brain: Enterprise Marketing Doesn't Need More AI Tools. It Needs Better Decisions.
-
Arnaud Fischer shared thisOne of the biggest challenges I see isn't a lack of AI—it's a lack of decision intelligence. That's what inspired the concept of Decision Debt and ultimately the AI Marketing Brain.Arnaud Fischer shared thisEnterprise marketing does not need more disconnected AI tools. It needs better decisions. The AI Marketing Brain turns fragmented data into explainable, governed next-best actions—while the AI Marketing OS orchestrates execution across Plan → Execute → Measure → Optimize. The result: less Decision Debt, stronger accountability, and a path toward measurable P² outcomes: +15–20% productivity improvement +10–25% precision lift within 90 days https://lnkd.in/gejn3Kug #AIMarketing #DecisionIntelligence #EnterpriseAI #MarketingTransformation #HumanCommand #marktgAI
-
Arnaud Fischer shared thisMost marketing teams don’t have an AI problem. They have an operating model problem. More tools. More dashboards. More automation. More AI assistants. But still: fragmented workflows, delayed reporting, inconsistent execution, and unclear ROI. In this LinkedIn article, I explain why modern marketing needs an AI Marketing OS — an operating layer that connects: Plan → Execute → Measure → Optimize The next advantage won’t come from using the most AI tools. It will come from running marketing as a governed, measurable, human-led system. #AIMarketing #MarketingOperations #MarketingStrategy #AI #MarketingOS #mAI #marktgAIInside the AI Marketing OS: Why Modern Marketing Needs an Operating Model, Not More AI ToolsInside the AI Marketing OS: Why Modern Marketing Needs an Operating Model, Not More AI Tools
Arnaud Fischer commented on a post
4d
Bravo !
-
Arnaud Fischer liked thisArnaud Fischer liked thisPendant que la Silicon Valley court après l’IA la plus puissante, John Ternus défend une autre voie pour Apple : intégrer l’intelligence artificielle seulement lorsqu’elle améliore réellement le produit. Le nouveau PDG mise surtout sur ce qui a toujours fait la force d’Apple : le matériel, le logiciel et l’expérience utilisateur. https://lnkd.in/gDC7xtKg
-
Arnaud Fischer liked thisArnaud Fischer liked thisWe’re expanding our commitment to Canada 🇨🇦 Cohere is advancing plans to invest more than C$4 billion in R&D and AI infrastructure and create over 1,500 jobs through 2031. From growing our workforce to investing in the next generation of talent and research partnerships, we’re committed to building our future in Canada. -- On renforce notre engagement envers le Canada. Cohere va de l’avant avec son plan d’investir plus de 4 G$ en R-D et en infrastructure d’IA, et de créer plus de 1 500 emplois d’ici 2031. Nos équipes grandissent ici. On investit dans la relève et dans des partenariats de recherche ici. Notre avenir, on le bâtit au Canada. EN: https://lnkd.in/ekuCbYvB FR: https://lnkd.in/eV8rpp6sCohere renforce son engagement de 4 milliards de dollars canadiens en matière d’IA au Canada, créant plus de 1 500 emploisCohere renforce son engagement de 4 milliards de dollars canadiens en matière d’IA au Canada, créant plus de 1 500 emplois
-
Arnaud Fischer liked thisContact us today to discuss your washing needs and see drastic water consumption reductions in your bakery: www.bakonusa.comArnaud Fischer liked thisContact us today to discuss your washing needs. There is a better way with the Multiwasher. Visit our websites: www.bakonusa.com and discover an innovative and sustainable approach to washing.
-
Arnaud Fischer liked thisArnaud Fischer liked thisFaire avancer la mobilité de demain, c'est donner aux ambitions d'aujourd'hui les moyens de se concrétiser. C'est dans cet esprit que COFOMO a participé au Forum UITP Amérique du Nord 2026, à Montréal, en collaboration avec Microsoft. Nos échanges avec les acteurs du transport collectif ont permis d'explorer comment nos solutions en données et en intelligence artificielle, combinées à notre expertise d'affaires et technologique, peuvent soutenir leurs projets de transformation numérique et répondre à leurs réalités opérationnelles. Merci à l'UITP et à l'ARTM - Autorité régionale de transport métropolitain pour l'organisation de ce rendez-vous, ainsi qu'à toutes les personnes venues échanger avec notre équipe. #COFOMO #TransportCollectif #TransformationNumérique
-
Arnaud Fischer reacted on thisArnaud Fischer reacted on thisConsolidating your AI marketing stack means running one brand intelligence layer through all of them. We built Typeface on three layers: 1️⃣ Arc Graph keeps your brand knowledge, guidelines, and approved assets in one place 2️⃣ Our orchestration layer carries that context from brief to review to publish, replacing manual hand-offs between tools 3️⃣ Your brand context reaches whichever AI assistant your team uses, through Model Context Protocol (MCP) Nothing moves out of your asset library, CRM, or campaign tools. What changes is how your teams work across them, so your brand stays consistent as output grows. Read the full CMO's guide: https://bit.ly/3TUawhu
-
Arnaud Fischer liked thisArnaud Fischer liked thisStagwell's 3Q results demonstrate we are successfully pivoting from a primarily marketing services company to a marketing transformation company selling AI-based transformation software and services. Our third quarter was the biggest on record on virtually every metric. Revenue, Net Revenue, and Adjusted EBITDA were all at the highest levels in company history. We reported 10% revenue growth YoY to $816M and 11% organic revenue growth. Net revenue grew 8% to $664M, representing 7% organic net revenue growth. Growth was led by the segments at the center of our shift. Digital Transformation (DT) grew 23% organically, driving our two-year stack to 30%, and The Marketing Cloud grew 108% organically as software sales of our suite of new agentic AI products accelerated. Enterprise Tech bookings year-to-date stand at $59 million, more than double our initial goal. Communications grew 20% organically thanks to political running slightly ahead of 2024. Q3 Adjusted EBITDA was $145 million, and Adjusted EPS grew 42% YoY to $0.34. Our overall organic growth now leads the marketing services industry and when you look at the segments, the growth in the tech capabilities of our business rivals that of successful software and services companies. We hit yet another net new business record, posting $168M in the quarter and bringing LTM net new business to $586M, 24% higher than a year ago. We signed our largest-ever multi-agency deal with ServiceNow who will use our agentic Machine OS. We secured our first major federal assignment. We are breaking into new industries and getting invited into new rooms. Stagwell is the partner of choice for companies looking to transform their marketing. The takeaway obvious from our numbers is that our DT services are just right for the agentic retooling companies will need to do to stay competitive, and that our products are just right for enabling large-scale marketing transformation. We are co-innovating with tech giants such as ServiceNow, Adobe, and Palantir Technologies as the tech company’s tech company. Looking forward, 2027 is shaping up to be another strong year for Stagwell. We’ve doubled our initial 2027 enterprise tech bookings goal to $150 million. We expect organic growth trends in DT to continue. Our Marketing Services and Media segments are poised to return to single-digit growth. The largest presidential cycle in history will kick off in earnest in the second half of 2027. Newly won government contracts and commercial assignments will kick in. Read our Q3 2026 release linked in the comments below for more. For full financial results, reconciliations and definitions of Non-GAAP Financial Measures please refer to our Earnings Release dated October 29, 2026.
-
Arnaud Fischer liked thisArnaud Fischer liked thisQuel est le point commun entre Tron, film de science-fiction sorti en 1982, et « C’était ça ou mourir », le roman de Thélyson Orélien ? 🎥Vs📗 En 1982, Tron est exclu pour la remise de prix des Oscar des meilleurs effets spéciaux parce que ceux-ci avaient été réalisés par ordinateur. À l’époque, seules les maquettes et autres décors peints étaient considérés comme des effets spéciaux. L’usage de l’ordinateur était considéré comme de la triche. En 2026, « C’était ça ou mourir » est retiré de la sélection du Goncourt sur des soupçons d’usage de l’IA (il y aussi d'autres soucis de reprise/plagiat d'autres textes, mais c'est le premier point qui m'intéresse ici.) Aujourd’hui, personne n’imaginerait exclure d'une remise de prix un film ou une série parce qu’il utilise la technologie CGI (Ah!!! les dragons de House of the Dragon 🐉 de Rodeo FX Quelle merveille !!!!) Ceux qui travaillent sérieusement avec l’IA le savent : si on demande à Claude « écris-moi un roman sur tel sujet » cela ne vous donnera pas chef-d’œuvre, même pas livre correct à lire dans le métro ou à la plage. Pour résumer grossièrement, pour faire un bon livre, il faut : - un scénario et des rebondissements - des personnages qui évoluent - un ou des arcs narratifs - et un talent dans le maniement des mots, dans la construction des phrases Maintenant, qu’est ce qu’on fait avec l’écriture et l’IA ? Réponse : on doit l’accepter dès maintenant et les œuvres en seront d’autant meilleures… à condition d’avoir une vraie démarche artistique au début de processus. L’IA pourra jouer le rôle d’agent et/ou de conseiller littéraire pour des écrivains qui ne sont pas dans une maison d’édition. Reste la transparence : l'utilisation des ordinateurs pour le film de Tron était assumée. C’est là toute la différence, et c’est peut-être la question centrale pour la littérature de demain. Mais à mon sens, dans quelques années, on regardera ce débat comme on regarde celui de Tron en 1982.
-
Arnaud Fischer liked thisArnaud Fischer liked thisOttawa veut faire de Cohere un pilier de la souveraineté canadienne en IA, avec un investissement pouvant atteindre 1,6 milliard de dollars. En échange, l’entreprise promet 1 000 nouveaux emplois, 1,7 milliard en infrastructures au Canada et le maintien de son siège social au pays. https://lnkd.in/gt2XcCJM
-
Arnaud Fischer liked thisArnaud Fischer liked thisMargin-hungry clients and burnt-out teams make for an impossible agency delivery model. AI agents can help, but most advertising teams are still figuring out the right way to bring them in. Every agency is building the agent-operated plane while flying it. The roles, staffing ratios, and oversight you set up today will determine whether you end up on a high-speed jet or a Wright Flyer. On November 4 (12:00 PM ET), our VP of Growth Heather Chevalley is hosting a breakout Mastermind session at Mirren AI Forum. Senior agency leaders will compare progress on what they’ve handed to agents, how roles and workload ratios evolve as people move from execution to oversight, and how to handle those tricky conversations with clients about billing in the age of AI. You’ll leave knowing what to hand off, how to staff around it, and how to talk about it with your clients. Save your spot in the session here: https://lnkd.in/epsR5J66 or subscribe to our newsletter to get the recap from this and other insights shared at this year's Mirren forum. #AdvertisingAgency #AgenticAdvertising
Experience & Education
Volunteer Experience
-
Mentor
SCORE Greater Los Angeles
- Present 10 years
Education
Digital Marketing for Startups and Small Businesses
-
Teaching
Silicon Beach LA
- Present 11 years 3 months
Education
Silicon Beach Startup 101 Course: "Digital Marketing for Startups": 5 Days of learning sessions led by 15 Silicon Beach professionals: Instructors, Mentors and Investors
http://www.slideshare.net/arnaudfischer/digital-marketing-101-for-startups-silicon-beach-class
Publications
-
What's it Going to Take to Beat Google?
Search Engine Watch
See publicationThese days, the most popular tech parlor game after guessing Google's IPO date is speculating what it will take to knock the company off its throne as web search champ.
Editor's note: The author was an AltaVista product manager from 1999-2001.
Search has changed dramatically since the early AltaVista days under Digital Equipment. The pure search and technology-centric engines left standing have transformed themselves into direct-marketing businesses. Too bad AltaVista was so busy…These days, the most popular tech parlor game after guessing Google's IPO date is speculating what it will take to knock the company off its throne as web search champ.
Editor's note: The author was an AltaVista product manager from 1999-2001.
Search has changed dramatically since the early AltaVista days under Digital Equipment. The pure search and technology-centric engines left standing have transformed themselves into direct-marketing businesses. Too bad AltaVista was so busy thinking of itself as a portal while Overture was inventing performance-based keyword search marketing, and Google was laser-focused on relevancy, laying down the groundwork for its successfully relevant AdWord paid inclusion program.
So what's it going to take to beat Google? Here's a look at some of the critical factors search engines need to address to be successful in today's environment. -
Global Marketing
Marketing
Cinq parties: Vue d'ensemble - Connaissance du marché - Elaboration du programme de marketing - Planification en marketing - Autres sujets. Etudes de cas.
Other authors
Languages
-
English
Native or bilingual proficiency
-
French
Native or bilingual proficiency
-
German
Limited working proficiency
Recommendations received
1 person has recommended Arnaud
Join now to viewOther similar profiles
Explore more posts
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content