A research-driven newsletter on Leadership, Culture, and Transformation in an AI-shaped world
AI is forcing a quiet redefinition of leadership. Not because the technology is new, but because its organisational implications are now impossible to ignore.
When I speak with directors, VPs, and transformation leads inside large organisations, the pattern is consistent: AI pilots are easy to start, but hard to scale. Not because of data constraints or model limitations, but because the established leadership systems weren’t built for continuous, deeply predictive, machine-supported decision-making.
Research continues to highlight this gap. Deloitte’s 2024 Human Capital Trends report notes that while 73% of execs expect AI to significantly change their operating models, only 28% feel their leadership teams are prepared for the cultural and structural implications. I actually feel this statistic is optimistic compared to the sentiment ‘on the street’.
McKinsey’s latest State of AI report echoes the same theme: technical capability is accelerating faster than leadership alignment.
I’m establishing this newsletter to contribute in addressing this gap.
In this launch edition I’ll only touch on a broad set of key themes which we will dive into in subsequent articles alongside many other themes and topics relevant at the time of writing.
Like it or not, the definition of Leadership is being rewritten, quietly… but fundamentally
Over the past year alone, AI has shifted from a mere functional tool into a full-blown systemic force. Sales teams are rethinking pipeline management, HR is rethinking how skills are defined, operational leaders are rethinking planning cycles etc.
AI isn’t just about automating tasks anymore and is fundamentally reshaping the assumptions organisations use to run themselves.
This is what makes AI different from previous waves of technology... ERP systems, cloud tools, CRMs… all of these are here to upgrade processes. AI actually upgrades the logic behind those processes, reshaping the fundamentals we came to know and understand well.
Executives are beginning to feel the implications:
- Decision cycles are shortening.
- Variability in team performance is widening.
- The boundary between “human judgment” and “machine recommendation” is blurring creating rifts in trust (which is a whole other topic in and of itself).
- Teams are experimenting faster than leadership structures are adapting.
Different skillsets are emerging as AI reshapes work
Across industries, I see 4 leadership capabilities separating teams that are gaining momentum from those that are stalling.
1) Internal systems orchestration
AI no longer sits in isolated functions. A model deployed in Customer Support impacts data quality for Sales. An enhanced forecasting system changes how Finance measures risk.
Leaders must understand how technological decisions reverberate across the organisation and not treat it as another “IT project”.
As McKinsey’s AI research shows, cross-functional orchestration is now a top predictor of AI impact.
2) Data maturity but without obsession
Leaders often assume that “more data” is the path to better AI. I was one of them.
In reality, leaders benefit from data pragmatism: focusing on the few signals that directly influence decisions.
HBR (Harvard Business Review) has written extensively about this shift: the competitive edge is not data volume, but clarity of data purpose.
3) Narrative setting
AI introduces ambiguity into previously stable processes. Ambiguity requires narrative. Teams move faster and with more intent when they understand the “why” and resistance lowers when the uncertainty is acknowledged.
In my experience and as we see in the markets today, leaders who articulate a coherent (AI) narrative create alignment and support long before they create outcomes or even articulate ROI (!).
4) ‘Cultural engineering’
AI isn’t just a technical transformation; it’s a cultural one.
Roles are changing. Decision boundaries are moving. Teams are experimenting more openly.
Leaders must shape cultures that can absorb continuous iteration while preserving psychological safety and accountability.
Organisations that treat AI as a cultural shift, not a tooling project will see greater traction.
You may have seen on the news that some businesses (i.e.: Meta to name the obvious one) now require their staff to embed AI in their daily workflows.
Why this newsletter exists
The pace of this transformation is accelerating and noise is increasing faster than insight.
Business and leaders need a space that is research-driven, reflective, and grounded in the real issues organisations are navigating and not hype cycles and media.
Leading in the Age of AI will focus on that intersection: leadership, culture, decision-making, and the organisational realities of AI-driven change.
Twice a month, this series will synthesise discussions I’m having on key topics in this space and will be backed up with research from credible sources, whilst adding practical, executive-level commentary.
Welcome, to this launch edition, the foundation for everything that follows.