The AI Developmental Void: Mitigating the Hollowing Out of the International Leadership Pipeline
By Liat Ben-Zur
As automated efficiency strips away early-career technical tasks, companies must re-engineer how the next generation of executives is formed.
Short-term operational efficiency is...
The AI Gap Business Leaders Aren’t Talking About
By Craig Gravina
Nearly all business leaders claim their organisations are AI-ready, yet over half admit their data management isn't up to the job -...
The Introduction of Fashion AI and How Artificial Intelligence Is Reshaping the Fashion...
By Dr. Anna Rostomyan
From trend prediction to hyper-personalization, AI is quietly becoming fashion’s most powerful designer.
Like almost every industry, fashion is absorbing the impact...
The Autonomy Paradox: Why Smart AI Fails on a Crumbling Foundation
By Leigh Romeo
As AI distributes decision-making across every function, the real leadership challenge is no longer speed, it's ensuring every decision moves the business...
Why Enterprise AI Fails at the Final 30%
By Dr. Florian Rehm
AI programs rarely fail because models underperform; they fail when organizations cannot redesign decisions, accountability, and workflows around probabilistic systems.
Enterprise AI...
Why Sustainable Healthcare AI Starts With Infrastructure Discipline
By Nicholas Batten
Healthcare organisations are rushing to adopt AI, but long-term success will depend on efficient, governable, and operationally sustainable system design.
Healthcare organisations are...
How Agentic Enterprises Are Transforming Work, Knowledge and Innovation
Interview with Anaïs Ghelfi
Agentic enterprises are changing how companies work by turning employees into builders, unlocking knowledge across teams, and scaling smarter collaboration and...
Why Foundational Data Drives Successful AI and Enterprise Modernisation
Interview with Keith Schlosser
Strong data foundations, not just new tools, determine whether enterprise AI and modernization succeed or fail in complex organizations.
Keith Schlosser, a...
Is AI Collapsing the Cost of Being Wrong?
By Alex Wu
AI is collapsing the cost of experimentation, reshaping entrepreneurship by making testing, building, and launching businesses faster, cheaper, and more accessible to...
Collective Licensing Can Help Build a More Sustainable AI Economy
By Tom West
As scrutiny around the use of unlicensed, copyright-protected content as AI training data grows, collective licensing is emerging as a practical way...
Agentic AI in the Workplace: A Leadership Challenge We are Only Beginning to Understand
By David Stokes
Agentic AI is reshaping workplaces faster than organisations can adapt, exposing a growing gap between technological ambition and workforce readiness.
Agentic AI is...
When AI Wants to Teach You How to Become an Entrepreneur
By Fernanda Arreola and Jean Giraux
As generative AI makes entrepreneurial knowledge widely accessible, competitive advantage increasingly depends on human judgment, contextual thinking, and strategic...
Why Scalable AI Depends on Business Ownership and Trust
By Rebecca Pluthero
AI delivers lasting value when businesses correctly identify the problems, assign ownership early, and govern for real-world scale.
AI adoption is accelerating, but...
The Importance of Managing Goals and Accountability in AI Transformation
By Jordan Richards
Too many businesses are adopting AI without a clear strategy for goals or accountability — and the results are as predictable as...
AI is Moving Faster Than the People Meant to Govern it
By Nicole Junkermann
AI's commercial capabilities are accelerating faster than the institutions meant to govern them. That's not a reason for alarm. It's a reason...
How European Businesses Can Protect Themselves From AI Information Vacuums
By Jonathan Armstrong
As AI adoption accelerates across Europe, a new and often overlooked risk is emerging known as AI information vacuums. With search engines...
AI Fatigue: The Hidden Challenge in the Race for AI Adoption
By David De Cremer, Kwong Chan, and Jin Kim
Perhaps it's unsurprising that even initial enthusiasts for AI, when exposed to the relentless narrative and...
From Pilots to Pipelines: Unlocking Agentic AI’s True Potential
Why AI Still Disappoints at the Organisational Level
By Joerg Niessing, Carsten Feldmann, and Michael Bücker
Agentic AI offers a step-change advance over its generative predecessor...
Do People Trust AI to Provide Relevant Information? Insights from the Mass Transportation Industry
By Fernanda Arreola and Jean-Christophe Lassalle
In order to gain acceptance among the general public, AI systems need not only to deliver correct information, but...
Why Businesses Must Act Now on Agentic AI Risk
By Jonathan Armstrong
As autonomous AI agents reshape how work gets done, businesses must urgently address the growing risks around control, security, and accountability before...
The AI Trade Is Crowded. Space Isn’t.
By Terence Tse
AI undoubtedly has the attention of investors around the world, eager to ride the crest as the AI wave washes across the...
How AI Bias Quietly Distorts Negotiation Outcomes
By Tim Castle
AI is transforming negotiation, but hidden bias can distort decisions, making human oversight essential to preserve fairness, trust, and long-term commercial value.
Artificial...
Turn AI into a Force for Responsibility
By Laetitia Cailleteau, Philippe Roussiere, and Josh Elkind
AI could become Europe’s next instrument of responsible enterprise, making companies fairer and more responsive to change.
Across Europe,...
Will the App Stack Collapse Due to AI Agents?
By Shreyans Mehta
AI is cutting across user interfaces, skipping web and mobile layers and heading straight for APIs, potentially fracturing the app stack as...
Can Machines Demonstrate Integrity?
By Hamilton Mann
Crash-Testing Artificial Integrity, Not Intelligence.
Large language models are already being consulted in decisions that touch patient safety, regulatory compliance, and public trust, yet...
AI Data Centres Are Becoming Their Own Asset Class
By Timur Tillyaev
Headlines about AI tend to focus on its increasingly astonishing capabilities, concerns about trust, and the race to enact regulation. However, some...
Why Traditional Corporate Risk Matrices are Failing in the AI Era
By Ivan Shkvarun
As AI-enabled fraud evolves, traditional risk frameworks fail to capture how trust, identity, and legitimacy are manipulated inside everyday business processes.
Recent research...
Redefining Leadership in the Age of AI: What Skills Will Future Leaders Need?
By Vedika Lal, Zuzanna Staniszewska, and Géraldine Galindo
Artificial intelligence is transcending its original role as a tool designed to support humans and is increasingly...
A Nordic Model for Powering the AI Revolution Sustainably
By Eva Sóley Guðbjörnsdóttir
A Nordic blueprint for AI infrastructure demonstrates scalability and sustainably, combining clean energy, efficient cooling and heat reuse, to balance technical...
From AI Pilots to Certified Outcomes: Building an AI Governance Stack for Regulated Engineering
By Sergey Irisov
Regulated engineering is where AI promises the most and fails the fastest unless governance is designed in. This article outlines an audit-grade...
The AI Divide: What it Really Takes to Make AI Work for Everyone
By Camellia Chan
In this article, Camellia Chan addresses AI disruption in the workplace, arguing that with inclusive leadership strategies, it can become a tool...
AI Translation Is Scaling Global Communication, But It’s Also Creating New Risks
By Anthony Neal Macri
Artificial intelligence is rapidly transforming global translation workflows, enabling organizations to produce multilingual content at an unprecedented scale. However, this efficiency...
Why AI Can’t Say “I Don’t Know”: Understanding the Illusion of Omni-knowledge in Large...
By Fernanda Arreola and David Jaidan
Skillful orators know that, to convince their audience, it can pay to deliver their message with a tone of...
Beyond SaasPocalypse: How Agentic AI Is Reinventing Software Economics
By Jacques Bughin and Filip Van Innis
Historically, enterprise software was priced on a per-seat basis. Today, in the era of generative and, especially, agentic...
AI is Not Changing Culture and Leadership in Financial Institutions
By Jonathan Sharp
There has been a lot of noise about how AI is changing culture in financial institutions, but culture is about people, derived from...
Digital Culture: Transforming the Way Leaders Need to Design Corporate Culture for AI
By Mostafa Sayyadi and Michael J. Provitera
Mostafa Sayyadi and Michael Provitera argue that executives now have two options to select from with regard to...
When AI Becomes the Customer: How Agentic Commerce Will Reshape Global Business
By Sharon Gai
As AI agents evolve from answering questions to executing transactions, a new commercial paradigm is taking shape. Agentic commerce, where autonomous software...
Artificial Intelligence Is Not a Timing Decision but a Commitment Decision
By Jacques Bughin
Artificial intelligence is reshaping corporate strategy beyond tools and timing. Jacques Bughin argues that it is a commitment to redesigning operating models...
The Psychology Behind Why we still Struggle with Cyberattack Response
Interview with Dan Potter of Immersive
Preparation does not guarantee performance. In this interview, Dan Potter, Senior Director of Operational Resilience at Immersive, explains why confidence...
How Business Leaders Can Rescue and Redefine AI Success
By Keith Schlosser
AI ambition has outpaced enterprise readiness. In this article, Keith Schlosser explains why many business-led AI pilots are faltering and what CIOs...
What an MBA Teaches that AI Never Will in 2026
AI is changing organisations across different economies, and MBAs are no exception. Here’s why an MBA still provides value and ROI – and who...
From Trackers to Intelligent Companions: The Future of Parenting Apps
By Dmitry Rumbeshta
This article explores how parenting apps are evolving from simple tracking tools into intelligent companions. It examines generational shifts, information overload, and...
AI at Machine Speed: The Cyber Risks that Will Define 2026
By Matthew Geyman
AI is accelerating an asymmetric cyber threat landscape. Attackers need only one opening, while defenders require organisation-wide, machine-speed readiness. Resilience must be...
Gartner: Boardroom Strategies for Dominating AI Investments, Risks, and Value
By Tina Nunno
Boards increasingly see artificial intelligence as central to future shareholder value. Yet a growing gap is emerging between board ambition and operational...
AI Empowerment Will Separate Winners From Users in 2026
By Fahed Bizzari
AI will not equalise competition in 2026. As models commoditise, advantage shifts to organisations that redesign workflows, embed governance, and build repeatable...
The Next Wave of AI: from Generation to Agency
By Jacques Bughin
If you're quietly patting yourself on the back for finally getting a grip on AI and its impact on your organization, here's...
Moral Engineering: When AI Decides Where It’s Safe to Walk
By Vladimir Spinko
While AI is increasingly deployed in humanitarian, security, and disaster-response domains, the real challenge lies not in detection accuracy but in moral...
Authentic Leadership Shifts in the AI Age
By Mostafa Sayyadi and Michael J. Provitera
When the AI train pulls in to the platform, the accompanying steam clouds of uncertainty may disorientate those...
From Compliance to Conviction: Leadership Readiness as the Binding Constraint of the AI Era
By Deepika Chopra
As artificial intelligence becomes embedded in high-stakes decisions, the primary constraint on scale is no longer technology or regulation, but leadership readiness....
Europe’s Software Crossroads: Why Product Thinking is Now Key to The Future
By Roman Eloshvili
For decades, Europe’s software industry has been built on services: outsourcing, custom development, and consulting. That model created jobs and export revenue,...