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In London on Force Multiplier, host and guest swap seats as Danny discusses how a teenage incident around alcohol shaped his belief in personal responsibility and control of self, not others, including why he doesn’t drink. He describes empowering teams by deleting work apps on leave and planning successors, and shares his core principle of using privilege to help others, shaped by his North African Jewish heritage and refugee parents. Danny explains raising his daughter by treating her like an adult and involving her in decisions; she later became a key mentor as he left a senior CIO role at London Business School to join Cloudforce. He contrasts fulfilling “good stress” in high-growth startups with toxic workplaces, argues employees should grow rather than take roles they fully know, and outlines a non-transactional, integrity-driven approach to “selling” by showing value. They discuss AI’s risks for education, the need for responsible use, community learning among customers, and focusing on outcomes, concluding with advice to trust yourself and be a “go-giver.”
01:07 Responsibility Over Excuses
03:29 Control and Letting Go
06:03 Privilege and Opening Doors
07:21 Heritage and Family Values
11:18 Parenting for Responsibility
13:35 Leaving CIO for Startup
17:32 Calculated Risk and Reinvention
20:46 Toxic Job and Contractor Lessons
24:36 Startup Stress and Empowered Teams
30:35 Moving Fast in Europe
32:09 AI Speed Culture
33:22 Signals To Product
35:12 Selling As A Peer
39:06 Integrity And Persona
41:06 Bias And First Impressions
43:11 User Focus And Impact
46:43 Students And Cognitive Decay
49:25 Education Leaders Collaborate
53:34 Guardrails And Reality
56:58 Force For Good With AI
01:01:11 Advice And Giving Back
01:05:05 Closing Reflections
In this episode of Force Multiplier, Danny is joined by Cerys Hutton, AI Centre of Excellence Lead and Head of Warwick Digital Academy.Cerys and Danny discuss cognitive deskilling, growing privacy concerns, and shifting attitudes toward AI-generated content.If you like Force Multiplier, make sure to check out Danny’s debut podcast Sondership, which shares Inspiring Stories from People with Purpose at Sondership.comLinks:Follow Cerys on LinkedIn here:https://www.linkedin.com/in/ceryshutton/Watch Hannah Fry’s video on building an AI Agent:https://www.youtube.com/watch?v=WnzR5aOElvw00:17 Cerys Mission And Ethics02:15 AI Risks In Education04:43 Parenting And Tech Boundaries06:51 Future Jobs And Squiggly Careers09:25 Product Mindset For GenAI10:34 Warwick AI Strategy12:50 Polarisation And Culture Clash16:00 Early Wins And Use Cases19:16 Building AI Literacy26:17 Privacy Backlash And Regulation30:32 Choosing Models And Avoiding Slop33:16 Eighteen Month Vision36:27 Invisible AI And Closing Thoughts
In this episode of Force Multiplier, recorded in our brand new home studio in London, Danny is joined by Professor Baba Sheba of City St. George’s, University of London
Baba and Danny talk flipping AI on its head, where AI becomes the prompter, and the user the learner. We also hear about Baba’s Diaspora Nexus, and the potential that comes from bringing together a community of like-minded people.
If you like Force Multiplier, make sure to check out Danny’s debut podcast Sondership, which shares Inspiring Stories from People with Purpose at Sondership.com
Links:
Follow Baba on LinkedIn here: https://www.linkedin.com/in/babasheba/
Read more about the Diaspora Nexus on Baba’s Substack: https://blueprintnotes.substack.com/p/diaspora-nexus-london-and-the-case
Chapters
00:00 Social Media Wake Up
01:07 Meet Professor Sheba
02:23 Leading Digital Change
04:54 AI Accelerator Program
07:03 AI Is Not Just Tool
08:44 Critical Thinking Risks
12:06 Human AI Collaboration
14:49 Project X Core Skills
16:11 Duolog Learning Platform
18:54 Nebula One AI Gateway
23:14 Measuring Impact Maturity
25:19 Student Led Prototyping
28:42 Role Play Studio Simulations
30:53 Choosing Models Ecosystems
33:45 AI Powered Viva Exams
36:37 Diaspora Nexus Network
38:43 Rural Education Potential
Live from Manchester, Danny interviews Dr. Miri Firth from the University of Manchester about AI as a core employability skill and the importance of keeping humans central.
Firth explains her work on “flexible assessment,” describing multiple kinds of assessment flexibility (mode, deadlines, word count) that increase student autonomy and reduce poor AI use by avoiding single-answer tasks. They discuss using AI openly for formative drafting and feedback, supporting international students with translation, and helping learners rehearse presentations. Both argue human “transferable skills” remain essential, confidence, curiosity, adaptability, empathy, critical thinking, ethics, and lifelong learning, especially as tools change quickly.
They critique AI-generated communication on social platforms, emphasise human connection and creativity, and note tensions around creative IP. The episode closes with reflections on agile leadership and combining humans and AI to accelerate product evolution.
01:39 Change Through Employability
02:27 Flexible Assessment Explained
04:36 AI In Assessment Policy
06:18 Humans Still Matter
07:28 Transferable Skills For Work
10:25 Ethics Kindness And Honesty
12:01 AI For Student Communication
13:02 AI Written Content Fatigue
15:28 Inclusive Communication With AI
16:51 Curiosity Over Laziness
17:34 National AI Education Research
18:14 Human Awareness With AI
18:45 Creativity And Gen AI
19:36 Protecting The Human Touch
21:24 Why Live Art Still Matters
23:01 Libraries And Shared Spaces
24:23 Future Graduate Skills
27:56 Speed Of Change Reality Check
30:07 Mindsets And Diverse Teams
33:14 AI In The Workforce
Recorded in New York, Danny is joined by Dr. Michael J. Jabbour, AI Innovation Officer at Microsoft to delve into how AI is affecting parenting, the difference between education and training, and the importance of agency, presence, and comfort with ambiguity. We also get to hear Michael read from his recent children’s book series ‘The Giving Mind’, inspired by conversations with his daughter.
If you like Force Multiplier, make sure to check out Danny’s debut podcast Sondership, which shares Inspiring Stories from People with Purpose at Sondership.com
Purchase ‘The Giving Mind’ here: https://www.amazon.co.uk/Giving-Mind/dp/1972829009
Follow Michael on Substack:
https://substack.com/@michaeljjabbour/posts
Michael’s Website:
https://www.michaeljabbour.com/
Chapters
01:08 From Medicine to Government Tech
04:47 Culture Shapes AI Adoption
07:16 Education Versus Training
15:57 Answers Are Free Now
19:00 Writing The Giving Mind
22:22 Michael Reads The Giving Mind
25:21 A Different Type of Human
28:09 Parenting and Hidden Influences
30:11 Are We Living in a Simulation?
33:53 Offline Time and Voice AI
37:57 Learning to Handle Ambiguity
45:36 Compiled Intent and Outcomes
46:57 Mourning Dead Skills
49:57 AI Sommelier and Harnesses
54:11 Platform Shifts and First Encounters
57:42 nebulaONE
In this episode of Force Multiplier, Danny is joined by Jenny Rae, CIO of Imperial College London.
Jenny shares her career path from a business degree at Oxford Brookes, to roles at Microsoft and BT, leading to her joining Imperial as Director of Digital Products. The conversation explores where the topic of sustainability has gone when talking about AI, and touches on student trust, concerns about profiling, and a lack of a “golden” GenAI use case.
If you like Force Multiplier, make sure to check out Danny’s debut podcast Sondership, which shares Inspiring Stories from People with Purpose at Sondership.com
Links:
Watch AI Confidential with Hannah Fry: https://www.bbc.co.uk/iplayer/episodes/m002q76b/ai-confidential-with-hannah-fry
Read ‘Hello World’ by Hannah Fry:
https://www.amazon.co.uk/Hello-World-How-Human-Machine/dp/1784163066/
Title Chapters
00:14 What’s the change you’re trying to make
01:19 Becoming Imperial CIO
03:14 From Microsoft to BT
05:40 Meet Daisy AI
07:25 GenAI Vision at Imperial
10:51 Jobs Fears and AI Teachers
11:54 Governance and Ethics
14:38 Student Data Boundaries
17:28 Student Success Chatbot
18:47 Collaboration Beyond IT
19:20 Frictionless Tool Enablement
19:45 Change Management Over Use Cases
20:33 Everyday Productivity Wins
21:53 Humans Still Matter
22:59 User Centric vs AI First
24:27 Blade Runner Future Vision
26:35 Sustainability and AI Costs
29:55 Risks and Critical Thinking
30:54 Managing Humans and Agents
33:31 Robots and Autonomy Fears
35:45 Human Flaws and Trust
36:41 Augmenting Healthcare Decisions
In this episode of Force Multiplier, Danny is joined by Lailany Sierra, Strategic Operations & Transformation Leader, with experience across IMAX, Disney, and Chanel.
Lailany discusses the change she wants to make through individual transformation: building resilience, adapting in volatile times, upskilling, and developing agency as technology reshapes work.
She emphasises showing up by adding value, supporting collaboration, and considering human implications during digital transformation.
The conversation warns that organisations often treat technology as an ROI investment while treating people as a cost, risking displacement, underinvestment in upskilling, and using AI to replicate existing dysfunction; successful transformation requires data, security, ethics, and alignment to customer journeys and Conway’s law.
Lailany describes learning via structured courses (including an Oxford AI course) and creative studies, prefers Claude as a thought partner and Perplexity for sourced research, and advocates prompting for alternative viewpoints to avoid confirmation bias.
She raises concerns about AI representation, pace, accountability, and societal/ecological impacts, while highlighting benefits like democratised access, productivity gains, and advances in life sciences and climate tech.
If you like Force Multiplier, make sure to check out Danny’s debut podcast Sondership that shares Inspiring Stories from People with Purpose at Sondership.com
00:49 What’s the change you’re trying to make
02:16 Leadership and Adding Value
04:43 Human Centric AI Transformation
05:35 Why Tech Deployments Fail
09:28 ROI Versus People Investment
11:49 Conway’s Law and Org Design
15:21 Collective Intelligence With GenAI
16:00 Luxury Needs Humans
17:10 Reskilling and Learning Styles
19:43 Art Deco Inspiration
20:26 Choosing AI Tools
22:36 Low Cost Learning Paths
24:41 Avoiding Confirmation Bias
27:43 AI Risks and Representation
33:04 Democratisation and Breakthroughs
35:28 Climate and Sustainability Outlook
In this episode of Force Multiplier, Danny is joined by Dame Clare Barclay, President of Enterprise & Industry, EMEA at Microsoft and former CEO, Microsoft UK. Clare and Danny discuss how they see AI being used in education, and how this extends to future generations. She shares what she’s seeing across AI startups and enterprises, why skills and lifelong learning are the critical unlock, and what governments can do to drive productivity and inclusive growth.
If you liked Force Multiplier, make sure to check out Danny’s debut podcast that shares inspiring stories from people with purpose - Sondership
Referenced in this episode:
Co-Intelligence: Living and Working with AI, Ethan Mollick
https://www.amazon.co.uk/Co-Intelligence-Living-Working-Ethan-Mollick-ebook/dp/B0CHHY2PS4
Supremacy (AI, ChatGPT, and the race that will change the world), Parmy Olson https://www.amazon.co.uk/Supremacy-ChatGPT-Race-Change-World/dp/1035038226
00:45 AI as a Lifter for All
01:31 Who Shapes the Outcome
03:18 Personalized Tutors in Education
03:26 Teachers Plus AI Support
05:26 Kids Using AI Wisely
07:01 Clare's Role at Microsoft
08:14 Government and AI Strategy
09:40 Skills and Lifelong Learning
11:47 AI Reshaping Organizations
13:33 Agents and Frontier Firms
16:57 Adoption Speed and Disruption
02:14 Enterprises Meet Startups
18:45 AI As Shock Trigger
19:11 Banking AI Benchmark Race
20:40 Startup Acceleration Era
21:41 Agent Costs And Value
24:11 Experimentation Culture Shift
25:14 Personal Agents In Practice
26:46 Satya And Microsoft Agents
28:44 Microsoft Culture To AI
33:35 Curiosity New Year Advice
34:14 Mum Learns AI Story
Danny is joined by Dr. Laura Gilbert, CBE, in a conversation that delves into the global inequalities that can be both created, and addressed by AI.
Laura highlights the crucial role of human motivation in deploying AI technologies, drawing on her wealth of experience working in Downing Street, and now as part of the Tony Blair Institute. The conversation also touches on the importance of open-source solutions and the unintended consequences of overconfidence.
Read the books Danny mentions:
Black Box Thinking - https://amzn.eu/d/a7s6u2C
Fall in Love with the Problem, Not the Solution - https://amzn.eu/d/fmeOY9Q
If you liked Force Multiplier, make sure to check out Danny’s debut podcast that shares inspiring stories from people with purpose - Sondership
01:15 Vision for a Less Unequal World
02:55 Motivations Behind AI Development
08:42 Cultural Impacts of AI
12:10 Predicting the Future
17:45 Optimizing for Better Decision Making
22:20 Government and AI: Real-World Applications
26:45 AI-Powered Vulnerability Detection
27:30 Human-Centric Tech Development
27:59 Become an Expert in your Own Right
29:29 Know What You Don’t Know
33:35 Open Source and Collaboration
37:43 Embodied AI and Robotics
43:00 Decide What You Care About
"What is the world you want to build?"
In the premiere episode of Force Multiplier, Danny Attias sits down with Claudia Harris OBE (CEO of Makers) to discuss why the future of work isn't about code, it's about becoming a "fearless learner".
Claudia shares her journey from McKinsey and Tony Blair’s Delivery Unit to leading Europe’s first coding bootcamp, where she proves that resilience and emotional intelligence are the true skills of the future. Together, they strip away the sci-fi fear of AI, reframing it as a "word calculator", a tool that requires human mastery, not just blind adoption.
They dive deep into:
* The 3 Stages of AI Adoption: Moving from Mastery (prompting) to Automation (efficiency) to Re-imagining (complexity).* The "Playground" Trap: Why AI "friends" who never disagree with us might be dangerous for human resilience.* Agency over Anxiety: Why we must stop reacting to tech trends and start deciding what meaningful work looks like.* The Optimist’s Case: Why this is the most exciting time to be alive, if we are willing to.
00:18 The Change Makers: Transforming Careers
01:28 Personal Passion and Professional Journey
02:22 The Genesis of Makers: Coding Bootcamp
03:17 The Importance of Fearless Learning
04:05 AI and the Future of Work
04:35 Claudia's Career Path: From McKinsey to OBE
06:39 The Role of AI in Career Education
07:24 The Impact of AI on Society and Work
08:09 Building Skills for the Future
17:46 Mastering AI: A Three-Tier Approach
27:03 Balancing Personal and Professional Life
27:52 The Privilege of Working in AI
29:37 Conclusion: Embracing Change and Optimism
From the publisher's feed