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I am a senior global business executive and leader with a proven track record of value…
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Peter Lacy reposted thisPeter Lacy reposted thisBen Medland of DRIFT Energy Ltd explains a new collaboration to bring its autonomous renewable energy ships to market. https://lnkd.in/eMKnTetT #ocean #maritime #blueeconomy #oceaneconomy #tech #technology #renewableenergy #hydrogen #windenergy #powersupply #offshore #coast
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Peter Lacy reposted thisExcellent report from James Landay and the team at Stanford Institute for Human-Centered Artificial Intelligence (HAI). Like Prof Susan Shelmerdine MBBS PhD I am extremely concerned about what she calls the ‘quieter’ risks: over reliance, sycophancy, loss of human judgement and emotional attachment. These are harder to guard against but require very conscious design choices and trainingPeter Lacy reposted thisThe Stanford Institute for Human-Centered Artificial Intelligence (HAI) industry report - Human-Centered Large Language Models just landed last week. The LLM race is shifting away from building more capable models and towards creating real value for the people using them. It appears that being more powerful stops being the differentiator. What separates the winners is how well a system fits the way people actually work, decide and learn. --- However, the biggest thing in the report that I was delighted to see and that the BehSci Meets AI gang have discussed multiple times at each event is the 6th point in the article... "AI risk accumulates over time, not only through isolated harmful outputs". We have spent years testing models for the obvious failures: the toxic answer, the biased output, the moment a system says something it should not. Those matter. But they are the visible harms, the ones a single test can catch. -- The report also points at a quieter category. Overreliance. Deskilling. Sycophancy. Emotional dependence. The slow erosion of professional judgement. None of these show up in a one-off safety check. They compound, invisibly, across thousands of ordinary interactions that each looked fine on their own. But no one looks at that. Studies rarely go longitudinal onto this aspect in a way that matters. --- Another line I read: "a model that never produces toxic content but flatters users rather than challenging them may be safe by conventional definitions, yet still fail them". That is the whole problem in one sentence. We have built systems that are increasingly good at appearing helpful in the moment, and we have almost no way to measure what they do to a person, or a profession, over time. The report is blunt that traditional safety testing and content guardrails alone are insufficient. --- In medicine, the risk is not only the wrong answer. It is a confident, fluent, agreeable tool quietly reshaping how clinicians think, what they stop checking, and which skills a generation never builds. The report's answer is not to slow down. It is to change what we measure. 🔹 Evaluate in real workflows, not on leaderboards. 🔹 Design for collaboration, deciding when a system should act and when it should defer, rather than defaulting to automation. 🔹 And expand the definition of safety beyond harm prevention toward whether these tools actually leave people better off. Safe is not the same as good for us. That gap is where the real work sits. Congratulations to the authors - Dora Z. Caleb Ziems Ahmad Rushdi James Landay Diyi Yang ----- Follow me for more on human-AI collaboration, professional judgement, and what safe AI does to how we think. Share any great articles and research you've recently read on longitudinal behavioural changes using LLMs & influence on judgement below! I'm always on the look out for some interesting work! :)
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Peter Lacy reposted thisPeter Lacy reposted thisDRIFT Energy Ltd Lines Up 50 #Hydrogen Ship--DRIFT & Commenda Capital Partners establish exclusive capital & project framework for 50-vessel programme DRIFT Energy has entered into an exclusive strategic framework with Commenda Capital Partners to support the commercial deployment of at least 50 DRIFT vessels. The framework pairs DRIFT’s proprietary wind-powered #hydrogen production vessels, intellectual property and customer development with Commenda’s maritime finance, SPV structuring and project execution capability. The programme targets more than $500 million of project-level investment, expected to be financed through project-specific vehicles. Read more here: https://fcw.sh/YBGstm #HydrogenNow #GreenHydrogen #Maritime #CleanEnergy #EnergyTransition #Shipping #InfrastructureInvestment
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Peter Lacy reposted thisPeter Lacy reposted thisBIG news for DRIFT - and for the future of #OceansOfEnergy! We have established an exclusive capital and project framework with Commenda Capital Partners for a 50-vessel programme, targeting more than US$500 million of project-level investment. This is a major step towards turning ocean-based green hydrogen from a breakthrough concept into scalable infrastructure. Exciting times ahead for us as we work with Ulrik Uhrenfeldt Andersen, Michael Ebbe Hansen and the Commenda Capital Partners team to make clean energy mobile, scalable and available where it is needed most. 🔗 Read the press release here: https://lnkd.in/eqf8BsYy #OceansOfEnergy #DRIFT #renewableenergy #energytransition #alternativeenergy #sustainability #startups #UKtech #oceantech #hydrogen #cleanenergy #business #Bath #greenhydrogen
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Peter Lacy reposted thisPeter Lacy reposted thisTHE AI JOB MARKET IN 2026 The "AI Engineer" job title doesn't tell you much anymore. It's like saying "Software Engineer" - too broad to be useful. Here's what AI roles actually look like now: The Infrastructure Layer: • AI Data Engineer: Building the pipelines that feed everything • MLOps Engineer: Making sure models actually run reliably in production • AI Cost Optimization Engineer: Keeping inference costs from bankrupting you The Building Layer: • AI/ML Engineer: The classic - training and deploying models • LLM Engineer: Specialized in fine-tuning and deploying large language models • Computer Vision Engineer: Making machines understand images and videos • Speech Recognition Engineer: Converting audio to actionable data The Intelligence Layer: • Prompt Engineer: Crafting inputs that get reliable outputs from AI systems • AI Agent Engineer: Building autonomous systems that use tools and make decisions • Reinforcement Learning Engineer: Teaching models through rewards and decision-making The Integration Layer: • AI Solutions Architect: Designing how AI fits into real-world systems • AI Integration Engineer: Connecting models with APIs, tools, and enterprise systems • AI Knowledge Engineer: Structuring knowledge bases for RAG and embeddings The Specialization Layer: • AI Trainer/Annotator: Preparing and labeling data for model training • Robotics AI Engineer: Applying AI to physical automation • Natural Language Processing Engineer: Building language understanding systems • AI Security Specialist: Protecting systems from attacks and vulnerabilities The Strategy Layer: • AI Product Manager: Defining what to build and why • AI Research Scientist: Advancing capabilities and techniques • AI Ethics Specialist: Ensuring systems are fair and compliant • Data Scientist (AI Focused): Extracting insights using AI/ML What this means for hiring: Stop posting for generic "AI Engineers." Be specific about what you need: • Are you building new models or deploying existing ones? • Do you need infrastructure or application work? • Is this research or production? The reality: Someone great at fine-tuning LLMs might struggle with MLOps. A brilliant computer vision engineer might not be the right fit for prompt engineering. These are different skills, different mindsets, different career paths. For candidates: "AI Engineer" on your resume means nothing without context. Be specific about what you actually do: • What models do you work with? • What problems do you solve? • What does production look like for you? The market is maturing. We're moving from "anyone who knows AI" to "the specific AI expertise we need." That's good for everyone - clearer roles, better fits, realistic expectations. Which AI role resonates most with your work? If you’re thinking about building an AI team and want to get it right, reach out to us here: GenAI.teams -> https://lnkd.in/d_q9DKFd #AI #AIJobs #TechCareers #TalentStrategy #AIStartup #StartupHiring
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Peter Lacy reposted thisPeter Lacy reposted thisRINA has awarded an Approval in Principle (AiP) certificate to DRIFT Energy Ltd for its #energy-harvesting ship design, paving the way for further development and build of the world’s first net-positive vessel. Announced at Seatrade Cruise Global in Miami, the AiP is the first to be awarded for an energy-harvesting vessel, recognising the leading potential of DRIFT ships to generate and deliver #cleanenergy at sea. Read more here: https://fcw.sh/cF5jC9 #GreenHydrogen #MaritimeInnovation #CleanEnergy #EnergyTransition #Decarbonization #HydrogenEconomy #RenewableEnergy #Shipping #AI
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Peter Lacy reposted thisPeter Lacy reposted thisEMERGE 2026 marked the beginning of a new chapter for the Young Global Leaders Class of 2026. Over two days, leaders from across sectors, regions and disciplines came together to connect, reflect and begin building the relationships that will shape the next three years of their #YGL journey. The conversations throughout the gathering reflected many of the questions shaping leadership globally right now: from navigating uncertainty and technological transformation to rebuilding trust, strengthening resilience and leading across difference. But beyond the sessions themselves, EMERGE is also about building the foundations of community early. The beginning of the #YGL experience matters because leadership at this level is rarely something leaders can navigate alone. #YGL26
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Peter Lacy reposted thisBIG MILESTONE Glad to see the official announcement of DRIFT Energy Ltd energy harvesting vessel being awarded Approval in Principle by RINA. Congratulations to the team making the ship go greener! 🔗 Read the details here: https://lnkd.in/eWVFTsmU #OceansOfEnergy #DRIFT #renewableenergy #energytransition #AiP #alternativeenergy #sustainability #UKtech #oceantech #hydrogen #cleanenergyPeter Lacy reposted thisThe official #pressrelease for this important news is out! 📢 It is the first time that an Approval in Principle has been awarded for an energy harvesting ship and, through RINA’s risk‑based AiP framework, it confirms that DRIFT’s novel design meets safety levels equivalent to established marine industry standards while enabling clean energy generation at sea. 🌊 🔗 Read the details here: https://lnkd.in/eWVFTsmU #OceansOfEnergy #DRIFT #renewableenergy #energytransition #AiP #alternativeenergy #sustainability #UKtech #oceantech #hydrogen #cleanenergy
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Peter Lacy reposted thisPeter Lacy reposted thisToday, we welcome 118 new Young Global Leaders from 55 countries. This class brings fresh perspectives, adaptability and a readiness to lead in today's complex times. Since 2004, the World Economic Forum, through the Forum of Young Global Leaders, has worked to strengthen the pipeline of emerging leadership, bringing together leaders under 40 and investing in their development over time. With each new cohort, the community has grown into a cross-disciplinary network, connecting leaders across borders and sectors, and strengthening their capacity to move the world forward. Learn more: https://lnkd.in/eQBYdPhU #YGL26 #WEF26
Peter Lacy commented on a post
1mo
Congrats John Rhoads - lucky to have you 💪🏼
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Peter Lacy liked thisPeter Lacy liked thisAs consumer goods companies accelerate AI adoption, Samuel Holmes’ point feels increasingly relevant: the winners will not be the companies that apply AI everywhere equally, but the ones that are clear on which capabilities they want to make truly distinctive. Consumer insight is a good example. Most companies agree that understanding consumers better and faster is critical. Yet many still underinvest in the data foundations, insight platforms, agile research methods and cross-functional ways of working needed to turn signals into better decisions at scale. AI can make this capability much more powerful: identifying emerging needs earlier, connecting behavioural data with qualitative insight, testing concepts faster and helping teams make sharper choices on innovation, portfolio, pricing and activation. Synthetic personas could be particularly powerful here. They can dramatically accelerate the insight process, help teams explore more hypotheses and generate richer input at every stage - from early need identification through concept development and activation. The real opportunity is to create a continuous learning loop: synthetic personas inform real-world research, and real consumer feedback is then used to improve the personas. With every cycle, the capability becomes stronger, faster and more valuable. The technology alone is not the differentiator. The differentiator is building consumer insight as an enterprise capability: owned, funded, measured and continuously improved. That is where Sam’s “design around what wins” framing matters. The question is not simply “where can we use AI?” but “which capabilities can we make better every time we use it?” Further reading: https://lnkd.in/eQeDN5zb #ConsumerGoods #AI #GenAI #ConsumerInsight #OperatingModel #Innovation Nevine El-Warraky Alberto Dolci Pierangelo Di Fede Rory Maker Mattia Busnach Ravenna Davide Santoriello Maria Mazzone
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Peter Lacy liked thisPeter Lacy liked thisThe Mayor's office just published the most important report many may miss. The Mayor's AI and Jobs Taskforce (chaired by Martha Lane Fox ) has done something rare: real data instead of vibes. Their finding — roughly 600,000 Londoners sit in roles with high AI exposure and low ability to adapt. Mostly clerical and admin work. Disproportionately women. Below-average pay. But the more interesting number is the other half: over 50% of London's jobs combine high AI exposure with high adaptability. Same technology, completely different outcome — the difference is whether people and organisations get ahead of it or get caught by it. Three recommendations worth reading if you're building or hiring in this city: – An early-warning system for AI-driven job disruption, before it becomes a crisis – A shared employer/worker/educator platform focused on redesigning jobs, not just automating tasks – A "Future Ready Guarantee" connecting young Londoners to real employer problems, backed by £30m John Amaechi's line from the report has stuck with me: "AI is not a force of nature. It's a series of choices." For founders, that choice is being made right now, in how you design roles, who you hire into entry-level jobs, and whether AI expands your team's capability or just shrinks it. Worth 10 minutes of your week. Of course RSI/AGI may change the game very soon .... Link in comments.
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Peter Lacy liked thisPeter Lacy liked thisBen Medland of DRIFT Energy Ltd explains a new collaboration to bring its autonomous renewable energy ships to market. https://lnkd.in/eMKnTetT #ocean #maritime #blueeconomy #oceaneconomy #tech #technology #renewableenergy #hydrogen #windenergy #powersupply #offshore #coast
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Peter Lacy liked thisPeter Lacy liked thisA huge round of applause to those on the Global EdTech Prize Shortlist this year When we built this prize idea was simple: The sector has grown used to measuring itself by the size of a funding round or the noise around a launch, and we wanted a verdict that came from the people who use these tools with real children in real classrooms. All in the service of education and leaders. I love the range of the list. The largest global companies sit next to early-stage startups and to non-profits building for places where connectivity cannot be assumed. None of them earned a place through scale or spend. A place was earned on evidence that the tool does something for a learner, and on nothing else. Handing that judgement to educators rather than the industry was a deliberate choice. The shortlisted organisations will present in January at the World Schools Summit in London, and the winners will be chosen there by the education leaders in the room. The organisations named today have already been told what matters most: that what they have built is doing its job. Owl Ventures Digital Promise T4 Education #GlobalEdTechPrize #EdTech #EducationInnovation https://lnkd.in/e6Eh39esExclusive: T4 Education Reveals Top 25 Shortlists for Second Annual Global EdTech PrizeExclusive: T4 Education Reveals Top 25 Shortlists for Second Annual Global EdTech Prize
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Peter Lacy liked thisPeter Lacy liked thisI’m excited to share that I’ve joined Modius as Chief Technology Officer (CTO). After 15+ years building and leading enterprise-scale software and system integration projects at Accenture, I deeply understand the need for better tools to manage complex facilities and infrastructure. I’m excited to apply my experience within the data center industry that enables the emerging technologies that are reshaping our work and society. Within data centers, the teams that can turn real-time infrastructure data into better decisions will have a massive advantage. That’s what drew me to Modius. I’m looking forward to building with this team and learning from our customers and the broader industry how we should develop our software and services to support their critical needs. Looking forward to having this transition as an opportunity to reconnect with all of you and find mutually beneficial ways to collaborate. Appreciate your support as I am diving deep into data center planning and operations and shaping these new-to-the-world technologies. #DataCenters #AIInfrastructure #DCIM #CriticalInfrastructure #ModiusOpenData Follow what we’re building at Modius: https://modius.com/Modius | DCIM Software & Data Center Management PlatformModius | DCIM Software & Data Center Management Platform
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Peter Lacy liked thisExcellent report from James Landay and the team at Stanford Institute for Human-Centered Artificial Intelligence (HAI). Like Prof Susan Shelmerdine MBBS PhD I am extremely concerned about what she calls the ‘quieter’ risks: over reliance, sycophancy, loss of human judgement and emotional attachment. These are harder to guard against but require very conscious design choices and trainingPeter Lacy liked thisThe Stanford Institute for Human-Centered Artificial Intelligence (HAI) industry report - Human-Centered Large Language Models just landed last week. The LLM race is shifting away from building more capable models and towards creating real value for the people using them. It appears that being more powerful stops being the differentiator. What separates the winners is how well a system fits the way people actually work, decide and learn. --- However, the biggest thing in the report that I was delighted to see and that the BehSci Meets AI gang have discussed multiple times at each event is the 6th point in the article... "AI risk accumulates over time, not only through isolated harmful outputs". We have spent years testing models for the obvious failures: the toxic answer, the biased output, the moment a system says something it should not. Those matter. But they are the visible harms, the ones a single test can catch. -- The report also points at a quieter category. Overreliance. Deskilling. Sycophancy. Emotional dependence. The slow erosion of professional judgement. None of these show up in a one-off safety check. They compound, invisibly, across thousands of ordinary interactions that each looked fine on their own. But no one looks at that. Studies rarely go longitudinal onto this aspect in a way that matters. --- Another line I read: "a model that never produces toxic content but flatters users rather than challenging them may be safe by conventional definitions, yet still fail them". That is the whole problem in one sentence. We have built systems that are increasingly good at appearing helpful in the moment, and we have almost no way to measure what they do to a person, or a profession, over time. The report is blunt that traditional safety testing and content guardrails alone are insufficient. --- In medicine, the risk is not only the wrong answer. It is a confident, fluent, agreeable tool quietly reshaping how clinicians think, what they stop checking, and which skills a generation never builds. The report's answer is not to slow down. It is to change what we measure. 🔹 Evaluate in real workflows, not on leaderboards. 🔹 Design for collaboration, deciding when a system should act and when it should defer, rather than defaulting to automation. 🔹 And expand the definition of safety beyond harm prevention toward whether these tools actually leave people better off. Safe is not the same as good for us. That gap is where the real work sits. Congratulations to the authors - Dora Z. Caleb Ziems Ahmad Rushdi James Landay Diyi Yang ----- Follow me for more on human-AI collaboration, professional judgement, and what safe AI does to how we think. Share any great articles and research you've recently read on longitudinal behavioural changes using LLMs & influence on judgement below! I'm always on the look out for some interesting work! :)
Experience & Education
Publications
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A New Era of Sustainability in the Automotive Industry - CEO Study Series
United Nations & Accenture
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Barclays & Accenture Carbon Capital - Financing the Low Carbon Economy
Barclays & Accenture
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GSK, Accenture & Oxford Climate Change & Health - Framing the Issue
GlaxoSmithKline, Accenture & Oxford University
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McKinsey - UN Global Compact CEO Study - Shaping the New Rules of Competition
McKinsey & United Nations
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UN Global Compact - Accenture CEO Study "A New Era of Sustainability"
United Nations & Accenture
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WEF More with Less - Scaling Resource Efficiency & Sustainable Consumption
World Economic Forum & Accenture
Languages
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English
Native or bilingual proficiency
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Spanish
Professional working proficiency
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French
Limited working proficiency
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Mandarin
Elementary proficiency
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