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 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

How Caterpillar Is Using AI To Reinvent Heavy Industry Without Replacing Workers Decades of #autonomous #mining have given #Caterpillar a rare insight into what happens when advanced #technology meets messy, unpredictable real-world operations. Now the industrial giant is using #AI assistants, connected #machinery and #workforce training to tackle #skills shortages and rethink how humans and #machines work together. linkedin.com/pulse/how-cater…

8 Workplace Skills Trends That Could Make Or Break Your Career In 2027 #AI is rewriting the rules of #career success in 2027, and knowing the tools will only get you so far. Explore eight #workplace #skills #trends reshaping #hiring, human expertise and #opportunities in the #AI economy. forbes.com/sites/bernardmarr…

🤖 Goldman Sachs is embracing AI agents. Could this change the future of banking? Artificial intelligence is moving beyond chatbots and simple productivity tools. We're entering an era where AI agents can take on increasingly complex tasks and support entire business processes. 🚀 And when major financial institutions such as Goldman Sachs explore this technology, it's a sign of just how significant this transformation could become. From analysing financial information and supporting research to streamlining operations and automating repetitive workflows, AI agents have the potential to fundamentally change how financial services operate. 📊 But this isn't just about replacing manual tasks. It's about rethinking how work gets done, how employees collaborate with intelligent systems and where human expertise delivers the greatest value. Of course, in an industry built on trust, security and accountability, human oversight remains essential. The big question is no longer whether AI agents will enter the workplace, but how organisations will manage them effectively. 💬 Would you trust an AI agent to handle important financial tasks? 👇 #AI #GoldmanSachs #AIAgents #AgenticAI #ArtificialIntelligence #FutureOfBanking #FinancialServices #FinTech #FutureOfWork #AITransformation #BusinessAI #Automation

A wrong answer from a chatbot is annoying. A wrong decision from an autonomous AI agent could trigger thousands of actions before anyone spots the error. 🤖 #Sponsored And as businesses increasingly rely on AI agents to make decisions, execute tasks and work with other agents, this becomes a serious concern. I recently had a fascinating conversation with Stijn (Stan) Christiaens, Co-founder and Chief Data Citizen at Collibra, about what it really takes to make autonomous AI work reliably at scale. One topic we explored was the hidden "hallucination tax", the financial and operational costs businesses incur when AI systems make mistakes or act on unreliable information. And there's a real challenge here. 📊 Collibra's research found that 76% of surveyed data and AI decision-makers encountered critical roadblocks when moving AI agents from pilots into production. Two critical issues are emerging: 🔹 Context: Do AI agents have access to the right business data, knowledge and policies to make informed decisions? 🔹 Control: Do organizations know what their agents are doing, what information they're accessing and which actions they're allowed to take? I also came across a fascinating example from Helvetia Baloise, which is using an air traffic control approach to oversee its growing portfolio of AI initiatives, supported by Collibra. But I believe there's an even bigger opportunity here. Most organizations are still focused on adding AI agents to existing business processes. What happens when we fundamentally rethink those processes around the capabilities of autonomous AI? That's where I believe some of the most significant business opportunities will emerge. However, achieving this requires trustworthy data, effective governance and a willingness to rethink how organizations operate. In this article, I explore the challenges of scaling autonomous AI, what we can learn from businesses already tackling them, and what leaders should be doing differently. linkedin.com/pulse/ai-agent-… 💬 Here's a question for business leaders: If your organization deployed 100 autonomous AI agents tomorrow, would you know exactly what each one was doing and what decisions it was making? For more information about Collibra and to request a demo, visit their website. Paid partnership with Collibra

How Moderna Is Using AI To Take On Cancer #Moderna is using #AI to advance personalized #cancer #treatments and transform how its business operates. Its ambitious #strategy offers lessons for leaders looking to accelerate #innovation and achieve more with smaller teams. forbes.com/sites/bernardmarr…

London looked spectacular in the sunshine today - and what a setting for Birdeye Viewpoint at The Lookout, 8 Bishopsgate. It was a pleasure to deliver the keynote with those incredible views across the city. In my talk, I explored the technology trends that will transform our world: from increasingly powerful AI driving an intelligence explosion and making intelligence a commodity, to its convergence with digital twins, 3D printing, gene editing, quantum computing, virtual and augmented reality, crypto and space technology. We also explored physical and embedded AI, including increasingly capable robots and humanoids. And, of course, one of today’s biggest topics: agentic AI, with all the opportunities and challenges that come with systems that can take action on our behalf. These technologies are evolving together, and their combined impact will be profound. Thank you to @Birdeye and everyone who joined us for a fantastic day.

AI Agents: Can We Really Trust Them To Run Our Businesses? teapawt.net/i/broadcasts/1OGwbnrea…