Bernard Marr

Was such an honor to appear on the BBC programme AI Decoded! The title of the episode is: What Jobs Will Al Leave Us? Hosted by Christian Fraser and Priya Lakhani OBE we were also joined by @EllaHaferMalz. It shows six times on BBC News and BBC World this weekend and you can watch it on BBC iPlayer and on YouTube: youtu.be/6zAgTga9kZw

AI is making the network strategically important again. [Paid partnership with Singtel] As businesses move from generative AI to autonomous AI agents, and increasingly towards physical AI with intelligent machines, robots and connected devices, the demands on our digital infrastructure are changing dramatically. We spend a lot of time talking about AI models, applications and agents. But I believe we're underestimating one of the most critical enablers of successful AI transformation: the infrastructure that connects everything. Think about thousands of AI agents continuously accessing data, communicating across systems and making decisions. Or intelligent machines operating across factories and supply chains around the world. Suddenly, network resilience, security, visibility and intelligent connectivity become more important than ever. An intelligent enterprise needs an intelligent network. This is why I'm looking forward to working with @Singtel on their first CIO Exchange in London on 16 November, where I'll be moderating a fireside chat on turning AI ambition into real business impact. I'll be joined by Ignatius Lee, Vice President, Enterprise Go-To-Market, from Singtel Singapore, Ralf Huebenthal from Nestlé and Soufiane Abdellaoui from Omterra to explore how global businesses are rethinking their digital infrastructure, what they're learning from their transformation journeys and how AI and automation are changing network operations. Singtel is combining global connectivity with intelligent digital infrastructure and AI-powered network management to help multinational businesses operate across borders. I'm particularly looking forward to hearing the real-world perspectives from Nestlé and Omterra. Because the next competitive advantage in AI may depend as much on the infrastructure behind it as on the intelligence itself. #SingtelPartnership #Sponsored @Singtel Global Services

🤖 Can you really trust AI when it can confidently tell you something that's completely wrong? Artificial intelligence is becoming an everyday part of how we work, research, learn and make decisions. But there's still one major problem we can't afford to ignore: AI hallucinations. 🧠 AI tools such as ChatGPT can sometimes generate information that sounds incredibly convincing but is inaccurate, misleading or entirely fabricated. And the most worrying part? They don't always make it obvious when they're wrong. ⚠️ AI can invent facts, statistics and references. ⚠️ It can provide incorrect answers with complete confidence. ⚠️ It can misunderstand context and fill gaps with plausible-sounding information. As we increasingly rely on AI for business decisions, research, financial analysis and professional advice, these mistakes can have serious consequences. But does that mean we shouldn't trust AI? Not necessarily. The key is understanding that AI is a powerful assistant, not an unquestionable authority. We need to challenge its answers, verify important information and maintain our own critical thinking. The future of AI isn't just about making systems more intelligent. It's about making them more reliable, transparent and trustworthy. 🚀 💬 Have you ever caught ChatGPT or another AI tool confidently giving you a completely wrong answer? 👇 #AI #ArtificialIntelligence #AIHallucinations #ChatGPT #GenerativeAI #AITrust #ResponsibleAI #CriticalThinking #AITips #FutureOfAI #AIAccuracy #Technology

5 Wine Trends To Watch In 2027: How Technology Is Changing What We Drink Five #wine #trends to watch in 2027 reveal how #AI and changing #drinking habits could reshape the industry. From wine #tourism to #vineyard #robotics, discover where #technology can improve the experience and help #producers navigate a more demanding #future. linkedin.com/pulse/5-wine-tr…

The Biggest Hotel And Hospitality Technology Trends For 2027 #AI #agents are becoming a new route to #hotel #bookings. In 2027, hotel leaders will need to protect their access to #guests, put #automation to work and secure systems that increasingly transact with #software. The payoff should be better margins and more time for human #hospitality. forbes.com/sites/bernardmarr…

🔎 AI is changing Google Search. Could this be the biggest transformation in how we find information since the internet began? For decades, searching online has followed a familiar pattern: type a question into Google, scroll through the results and click on a website to find the answer. But artificial intelligence is changing that experience. 🤖 With features such as Google's AI Overviews and AI Mode, search is increasingly moving towards providing direct, AI-generated answers rather than simply presenting a list of links. And this shift could have enormous implications. ⚡ People can get answers to complex questions more quickly. 📉 Businesses may receive fewer website visits as users find information directly within search results. 🌍 Brands need to think beyond traditional rankings and consider how they're represented in AI-generated answers. We're moving from a world where search engines help us find information towards one where they increasingly interpret and explain it for us. For businesses, this means SEO is evolving. Visibility isn't just about appearing at the top of Google anymore. It's also about becoming a trusted source that AI-powered search experiences can discover, understand and reference. But it also raises questions about accuracy, transparency and the future of the open web. 💬 Are you still clicking through Google search results, or are AI-generated answers becoming your first choice? 👇 #AI #ArtificialIntelligence #GoogleSearch #AISearch #GoogleAI #SEO #AIOverviews #AEO #GEO #SearchEngineOptimisation #DigitalMarketing #FutureOfSearch #GenerativeAI

10 Future Of Work Trends That Could Change Your Job In 2027 From #AI #agents and #humanoid #robots to algorithmic bosses and changing #career paths, the #workplace is heading for another major #transformation. Discover 10 #future of #work #trends that could reshape #jobs, #skills, #recruitment and #leadership in 2027. linkedin.com/pulse/10-future…

Is Google Losing The AI Search Battle To Itself? #Google’s #AI #search is changing how people find #answers, with major implications for advertising revenue and #website traffic. Discover what this shift means for #businesses and how to prepare for the next era of #online search. forbes.com/sites/bernardmarr…

🤖 AI agents are everywhere right now. But what exactly are they, and why is everyone talking about them? For the past few years, we've become familiar with AI tools such as ChatGPT that can answer questions, generate content and help us complete everyday tasks. But AI agents represent an important next step in how artificial intelligence can be used. 🚀 Instead of simply responding to individual prompts, AI agents can be designed to plan actions, use tools, interact with other systems and complete multi-step tasks on our behalf. Imagine an AI system that doesn't just tell you how to organise a meeting, but actually helps coordinate calendars, communicate with participants and arrange everything. Or an AI agent that can research information, analyse data and support an entire business workflow. ⚡ We're moving from AI that answers questions towards AI that can take action. And the implications for businesses could be enormous. From customer service and marketing to finance, operations and administration, AI agents have the potential to transform how organisations work. But greater autonomy also brings important questions about reliability, security and human oversight. The future of AI isn't just about having smarter conversations. It's about getting meaningful work done. 💬 What task would you most like an AI agent to take off your hands? 👇 #AI #ArtificialIntelligence #AIAgents #AgenticAI #GenerativeAI #ChatGPT #FutureOfWork #AIExplained #Automation #BusinessAI #DigitalTransformation #FutureOfAI

Midterm Voters Just Pulled The Plug On AI Data Centers, And Big Tech Should Be Very Worried The U.S. midterms have turned resistance to #datacenters into a warning for the #AI industry. Winning public trust will require companies to pay the costs of #expansion, give communities a meaningful say and share the benefits. forbes.com/sites/bernardmarr…

🤖 Could AI be getting worse because it's learning from itself? Artificial intelligence is generating an extraordinary amount of content. Articles, images, social media posts, websites and even entire datasets are increasingly being created by AI. But there's a fascinating problem emerging. 🧠 What happens when the next generation of AI models starts learning from content generated by previous AI models? It's a phenomenon sometimes described as AI inbreeding, and it could lead to something called model collapse. As AI-generated content finds its way into training datasets, models risk reinforcing existing errors, losing diversity and gradually producing less reliable or original outputs. Imagine making a photocopy of a photocopy, over and over again. Eventually, important details can disappear. ⚠️ The concern is that AI could begin amplifying its own mistakes rather than learning from the richness and complexity of the real world. Of course, carefully managed synthetic data can also be incredibly useful. The challenge is knowing how to use it without compromising quality. The future of AI might depend just as much on the quality of the information we feed it as the intelligence of the models themselves. 💬 Do you think AI-generated content could eventually make AI less intelligent? 👇 #AI #ArtificialIntelligence #AIInbreeding #ModelCollapse #GenerativeAI #ChatGPT #MachineLearning #SyntheticData #AITraining #FutureOfAI #DataQuality #AITechnology

Coca-Cola Is Using AI To Reinvent Marketing. Here's What We Can Learn The Coca-Cola Company is experimenting with a new approach to #AI-powered #marketing that puts human creativity back in control. Discover how its Project Fizzion initiative could transform #advertising, boost #productivity, and reshape the relationship between #AI and #creative professionals. linkedin.com/pulse/coca-cola…

The 5 Smart Glasses And AI Wearables Trends That Will Define 2027 #Smart #glasses are finally shedding their geeky image, as the world's biggest #tech companies race to put AI on our faces and businesses deploy hands-free #assistants on the front line. Here are the five #smartglasses and #AI #wearables #trends that will define 2027, including built-in displays and the #privacy questions raised by a world where everything could be on the record. forbes.com/sites/bernardmarr…

🤖 What happens when a company stops encouraging employees to use AI and starts making them rethink how they work? SharkNinja, the company behind brands such as Shark and Ninja, offers a fascinating example of how businesses are approaching AI adoption. 🚀 One of the biggest challenges facing organisations today isn't necessarily access to artificial intelligence. It's getting employees to actually use it. Many businesses invest in powerful AI tools, provide training and encourage experimentation, only to discover that employees continue working exactly as they always have. Because introducing AI technology is one thing. Changing workplace behaviour is something entirely different. SharkNinja's approach raises some interesting questions about how businesses can create the urgency, confidence and motivation needed to embrace AI. ⚡ How do you challenge established ways of working? 🧠 How do you encourage employees to experiment with unfamiliar technology? 📈 And how do you turn AI adoption into measurable business improvements? The real opportunity isn't simply getting more employees to use ChatGPT or other AI tools. It's creating a culture where people actively look for better, smarter and more effective ways of working. But there's an important balance between encouraging change and creating unnecessary anxiety about the future of people's jobs. 💬 Should businesses push employees harder to adopt AI, or should adoption happen naturally? 👇 #AI #ArtificialIntelligence #SharkNinja #AIAdoption #FutureOfWork #AILeadership #WorkplaceAI #DigitalTransformation #BusinessAI #ChangeManagement #GenerativeAI #FutureSkills

Your Next Boss Is An Algorithm: The 8 AI Workplace Trends That Will Define 2027 From robot bosses to #AI workslop, the biggest AI #workplace #trends for 2027 are about to change how your #work is managed and measured. Discover the eight shifts every #employee and #leader needs to understand to stay ahead in a workplace that is changing faster than most of us can keep up with. forbes.com/sites/bernardmarr…

🤖 Ever wondered what actually happens when you ask ChatGPT a question? We hear a lot about training artificial intelligence models, but there's another equally important part of AI that doesn't always get the attention it deserves. It's called AI inference. 🧠 Put simply, inference is what happens when a trained AI model uses what it has learnt to generate a response, make a prediction or complete a task. Every time you ask ChatGPT a question, generate an AI image or interact with an intelligent assistant, you're relying on AI inference. And as artificial intelligence becomes part of everyday business operations, inference is becoming increasingly important. ⚡ It influences how quickly AI responds. 💰 It affects the cost of running AI systems. 🌍 It drives demand for computing infrastructure and energy. 🚀 It helps determine how effectively AI can operate at scale. Training makes AI capable. Inference is where those capabilities are put to work. As millions of people and businesses use AI every day, making inference faster, cheaper and more efficient is becoming one of the industry's biggest priorities. 💬 Do you think the next big breakthrough in AI will be more intelligent models or making existing models faster and cheaper to run? 👇 #AI #ArtificialIntelligence #AIInference #GenerativeAI #ChatGPT #LargeLanguageModels #AIInfrastructure #AITechnology #FutureOfAI #MachineLearning #AIInnovation #TechExplained

Your AI Is A Shameless Suck-Up And It Could Be Costing You Big #AI #chatbots like #ChatGPT are notorious flatterers, cheerfully praising bad ideas and nodding along to flawed logic. Discover why AI #sycophancy happens and learn the simple #prompting habits that turn a digital yes-man into an honest, genuinely useful #collaborator. forbes.com/sites/bernardmarr…

🤖 Is AI really as objective as we think? We often assume artificial intelligence provides neutral, fact-based answers. But what happens when AI inherits the biases hidden within the data it learns from? 🧠 AI bias is one of the biggest challenges facing the responsible use of artificial intelligence. From recruitment and financial decisions to healthcare, business strategy and everyday research, biased AI outputs can reinforce stereotypes, overlook important perspectives and influence decisions in ways we might not even realise. The solution isn't simply to stop using AI. It's to learn how to challenge it. ✅ Question the assumptions behind AI-generated answers. ✅ Ask for alternative perspectives and opposing arguments. ✅ Look for missing information and potential biases. ✅ Verify important claims against reliable sources. Most importantly, don't confuse a confident AI response with an unbiased or accurate one. AI should help us think more critically, not replace our critical thinking. 🚀 💬 Do you think AI can ever be completely free from bias? 👇 #AI #ArtificialIntelligence #AIBias #ResponsibleAI #AIEthics #CriticalThinking #ChatGPT #GenerativeAI #AITrust #PromptEngineering #FutureOfAI #AITips

What Happens When AI Learns To Improve Itself? #Recursive self-improvement could allow #AI systems to design and build increasingly powerful versions of themselves, potentially accelerating progress toward #superintelligent AI. #Researchers are already exploring early forms of self-improving AI, raising urgent questions about #intelligence explosions, human oversight and whether increasingly capable #machines could eventually become too difficult to understand or #control. linkedin.com/pulse/what-happ…

Should You Make Friends With Your AI? Here’s Why It Could Be A Big Mistake. Millions of people now turn to #AI #chatbots for #companionship and #emotional support, yet growing evidence shows these always-available digital friends can deceive and even endanger the people who rely on them. Find out what the research reveals about the real risks and benefits of AI companions, and how to keep your #relationship with your #chatbot healthy before it starts calling the shots. forbes.com/sites/bernardmarr…

🤖 AI might feel like magic, but every interaction has a cost. Every time you ask ChatGPT a question, generate an image or get an AI agent to complete a task, you're consuming something called tokens. And those tokens are becoming an increasingly important part of the economics of artificial intelligence. 💰 Welcome to the world of AI tokenomics. As businesses move from experimenting with AI to deploying it across entire organisations, understanding token consumption, processing costs and the economics of AI models is becoming essential. A simple AI request might cost very little. But what happens when thousands of employees are using AI every day, or autonomous agents are completing complex tasks involving millions of tokens? 📊 The real challenge isn't just making AI more powerful. It's making AI economically sustainable at scale. The winners in the AI economy won't necessarily be those using the most AI. They'll be those generating the greatest value from every pound they spend. 💬 Could the cost of AI become one of the biggest barriers to widespread adoption? 👇 #AI #ArtificialIntelligence #AITokenomics #AITokens #AIROI #GenerativeAI #ChatGPT #AIAgents #AIInfrastructure #AIStrategy #FutureOfAI #BusinessAI