Bernard Marr's Future of Business & Technology Podcast

AI is changing how we search, browse, shop, learn and make decisions online. But as AI becomes the new interface to the internet, one big question emerges: will AI break the internet, or make it better? 🌐🤖

In this conversation, I’m joined by Anthony Enzor-DeMeo, CEO of Mozilla, the company behind Firefox and one of the strongest voices for an open, trusted and user-controlled web.

We explore how AI agents could reshape search, why the browser may become one of the most important AI layers, and what happens when AI systems start deciding what information we see, what products we buy and which sources we trust.

Anthony also shares Mozilla’s perspective on choice, consent and transparency, including why Firefox is taking an independent approach to AI, why users should be able to choose their preferred AI models, and why “nothing creepy” should be a guiding principle for the future of online advertising.

We also discuss the risks of a more closed internet, the importance of open source AI models, how AI could support global access to knowledge, and what business leaders can learn from Mozilla’s approach to building trust into products from the start.

🚀 In this episode, we cover:

How AI is becoming the new front door to the internet
Why AI agents could change search forever
The role of browsers in the AI era
How Firefox is approaching AI differently
Why user choice and consent matter
The future of AI-powered advertising
The risks of hidden influence and sponsored AI recommendations
Why open source AI models are important for access
How business leaders can build trust into AI products
What a healthier AI-powered internet could look like

In this interview from Bosch ConnectedWorld 2026, I speak with Dr. Tanja Rueckert, Member of the Board of Management and Chief Digital Officer at Bosch, about how AI is transforming industry and manufacturing.

For many years, Industry 4.0 promised connected machines, better use of data and smarter factories. But according to Tanja, the real tipping point is happening now, as generative AI and agentic AI make it possible for machines to understand data, AI agents to trigger workflows and factories to become more self-adapting and self-optimizing.

In this conversation, we explore how AI is changing the factory of the future, including the role of digital twins, industrial AI agents, human oversight and physical AI.

Key topics include:

🤖 Why Industry 4.0 is evolving into AI-enabled manufacturing
🏭 What the factory of the future could look like
🧠 How engineering digital twins can become operational digital twins
⚙️ How AI agents can support maintenance, optimization and decision-making
👷 How jobs and skills will change as people work with digital teammates
🔐 Why safety, trust and human-in-the-loop control are critical in industrial AI
🚀 The future of robotics, software-defined systems and quantum computing

Tanja also explains Bosch’s role in this transformation, drawing on its deep expertise in the physical world, from manufacturing and mobility to buildings, energy and consumer products.

The big takeaway: AI in industry is moving beyond dashboards and connectivity. It is becoming embedded in the systems, machines and workflows that keep the physical world running.

#Sponsored #BoschPartnership #BoschConnectedWorld #BCW26 #AI #ArtificialIntelligence #Manufacturing #Industry40 #PhysicalAI #AgenticAI #DigitalTwins #IndustrialAI #Robotics #FutureOfManufacturing #DigitalTransformation

Autonomous AI and agentic AI are moving from experiments into real enterprise workflows. But are businesses truly ready to let AI systems plan, decide and take action on their behalf?

In this interview, I speak with Shayan Mohanty, Chief Data and AI Officer at Thoughtworks, about the next phase of enterprise AI and what leaders need to do now to prepare.

We explore the shift from AI assistants and copilots to autonomous agents, why governance and accountability need to be built into the architecture, and how enterprises can move beyond proof-of-concept projects toward scalable, production-grade AI systems.

Shayan also explains why competitive advantage in the AI era may come less from access to the latest model and more from orchestration, AI-ready data, responsible engineering and the ability to redesign work around intelligent systems.

This conversation is essential viewing for CEOs, CIOs, CTOs, CDOs and business leaders who want to understand what autonomous AI means for enterprise transformation, governance, software development and the future of work.

If you'd like to explore how enterprises are preparing for this next wave of agentic AI, Thoughtworks' latest white paper, The Agentic Enterprise, offers practical perspectives and real-world insights.  https://www.thoughtworks.com/about-us/partnerships/cloud/aws/building-the-agentic-enterprise-ecosystem?utm_source=organic-influencer&utm_medium=influencer-marketing&utm_campaign=eai_tsi_rp-gl-pspt_rewire-for-agents_2026-05&utm_term=bernard-video-interview&utm_content=video

#Sponsored 

Autonomous AI in the enterprise
Agentic AI and AI agents
AI governance and accountability
Enterprise AI readiness
Moving AI from pilots to production
AI-ready data and orchestration
The future of software development

#AutonomousAI #AgenticAI #EnterpriseAI #AIagents #ArtificialIntelligence #AIGovernance #AITransformation #DigitalTransformation #Thoughtworks #AIworks #FutureOfWork #BusinessTechnology

How should we really talk to AI, and how can we use tools like ChatGPT, Claude and Gemini without losing our own judgment?

In this episode of the Future Of Business And Technology podcast, I speak with Jamie Bartlett, author of How To Talk To AI, about one of the most important skills of the AI age: communicating well with intelligent machines. 🤖💬

We explore why prompt engineering is only part of the story, and why the real skill lies in developing better habits when using AI. Jamie explains why we should ask whether we need AI for a task in the first place, why the first answer from a language model should always be treated as a draft and how AI can become a powerful creative partner when we push it beyond bland, average responses. 💡

We also discuss the risks of AI sycophancy, where chatbots flatter us, agree with us and reinforce our assumptions. Jamie shares practical ways to challenge AI outputs, use AI as a devil’s advocate and avoid outsourcing our thinking to machines. 🧠

This conversation also covers AI in education, mental health, autonomous agents, privacy, creativity and the future of human judgment in a world where AI is becoming part of everyday work and life.

If you want to understand how to use AI more effectively, how to get better answers from AI tools and how to stay in control while working with intelligent machines, this conversation is for you. 🚀

Topics Covered:
How to talk to AI more effectively
Why prompt engineering is really about better habits
How to get better answers from ChatGPT, Claude and Gemini
Why the first AI answer should be treated as a draft
How AI can boost creativity and idea generation
The danger of AI flattery and sycophancy
How to use AI as a devil’s advocate
Why we must protect human judgment
AI in education, work and mental health
The risks of autonomous AI agents
How to use AI without becoming too dependent on it

#AI #ArtificialIntelligence #ChatGPT #GenerativeAI #PromptEngineering #HowToTalkToAI #JamieBartlett #FutureOfWork #AITools #BusinessTechnology #AIEducation #AIProductivity #HumanJudgment #ClaudeAI #GeminiAI

AI agents are becoming one of the biggest topics in enterprise technology, but there is a critical challenge many organizations are still overlooking: context.

In this conversation, I speak with Massimo Merlo from Elastic about why context engineering is becoming essential for the next phase of enterprise AI. We explore why powerful AI models are not enough on their own, why real-time enterprise data matters, and how businesses can make AI systems more useful, reliable and secure.

We also discuss the debate around AI agents and the future of enterprise software. Will agents abstract away traditional software, or is the real story about where value is moving in the technology stack? As AI becomes more embedded in workflows, search, retrieval, observability, governance and data infrastructure all become increasingly important.

See how Elastic makes context engineering possible at https://www.elastic.co/elasticsearch/context-engineering #sponsored 

In this interview, we cover:

🤖 The current state of enterprise AI
📊 Why many organizations are still stuck in pilots and demos
🧠 What context engineering means in simple business terms
🔎 Why search, retrieval and real-time data are critical for AI agents
🔐 How context helps make AI more reliable, secure and governed
🚀 What leaders should do now to prepare for the future of enterprise AI

If you are interested in enterprise AI, AI agents, generative AI, data strategy, AI governance, context engineering or the future of business technology, this conversation offers a practical look at what comes next.

#Sponsored #ElasticPartnership #EnterpriseAI #AI #ArtificialIntelligence #GenerativeAI #AIAgents #ContextEngineering #DataStrategy #AIGovernance #Elastic #FutureOfWork #BusinessTechnology #DigitalTransformation