Want to read more?
The New AI Stack
Back in May, I wrote about the shift from AI assistants to autonomous agents - what I called the emergence of the "Agentic Enterprise." The response was overwhelming. CTOs, digital leaders, and transformation executives all asked the same question: "We understand the vision, but how do we actually build this?"
That question kept me up at night. Not because I didn't have answers, but because I realized we were at one of those rare inflection points where timing is everything. The infrastructure that makes autonomous AI possible is crystallizing right now, and the decisions enterprise leaders make in the next 18 months will determine who leads and who follows in the next decade.
This series isn't about theoretical possibilities - it's about the practical infrastructure revolution happening under our noses. It's about understanding why companies like OpenAI, Google DeepMind, and major enterprises are rallying around something called the Model Context Protocol (MCP), and what that means for your business strategy.
Over the next five parts, we'll explore how smart leaders are preparing for the agent economy by building what I call "The New AI Stack" - the infrastructure foundation that turns AI from a sophisticated tool into an autonomous business partner.
From Assistants to Agents
The enterprise AI landscape is undergoing a seismic shift—from systems that assist to those that act autonomously. Welcome to the era of agentic AI, where intelligent agents don't just respond but proactively drive business outcomes.
If you thought the AI revolution was impressive before, buckle up. We're about to witness a fundamental transformation from AI as a sophisticated tool to AI as an autonomous colleague. And frankly, if your organization isn't preparing for this transition, you're not just falling behind—you're missing the next wave entirely.
From Gold Rush to Governance:
Is your AI governance just "good intentions"? That's not enough anymore.
After a year of conversations with leaders across industries, I've written a comprehensive guide on moving from AI chaos to strategic clarity.
In this month's newsletter, I share insights from my new white paper "AI Governance Frameworks: From Wild West to Corporate Constitution" including:
A 60-minute quick-start guide for immediate action
Real governance failures that cost companies millions
A maturity model to benchmark your organization
Practical steps for global regulatory alignment
85% of executives see AI as strategic, but only 38% have governance in place. Close that gap.
Beyond Optimised Agents
While attending the Adobe Summit this year, I found myself surrounded by impressive demonstrations of AI agent technology. As Adobe unveiled its Agent Orchestrator platform and executives shared how these tools would "transform creativity and marketing," my initial excitement gradually gave way to a nagging concern.
Sitting in that Las Vegas conference hall, watching the polished demos of AI agents seamlessly optimising every touchpoint of the customer journey, I couldn't help but wonder about the possible consequences. What happens when every brand has access to the same perfectly optimised playbook?
Beyond Keywords:
Let's not beat around the bush. The search landscape of 2025 looks nothing like what we imagined even a year ago. Between Google's AI Overview (the artist formerly known as SGE) revolutionising search results and newcomers like Perplexity AI shaking up the status quo, we're witnessing a fundamental shift in how people find and consume information.
And here's the kicker: It's not just about better search results. We're talking about a complete rewiring of how people discover, evaluate, and engage with content online. For enterprises, this isn't just another algorithm update to weather—it's a paradigm shift that's rewriting the rules of digital visibility.
AI and the 2030 Job Market
The Video Chat Effect: Is Your Job Safe?
Picture this: you're in your third Zoom meeting of the day, discussing a project that could've easily been an email. Suddenly, a thought strikes you – if your job can be done entirely via video chat, is it really safe from automation?
The rise of remote work has raised serious questions about the future of certain jobs. If all you need is an internet connection, what's stopping your employer from outsourcing your role to an AI or a lower-cost worker abroad?
The pandemic has shown that many jobs can be done remotely, from customer service to IT support. But while this shift has been a lifeline for many, it's also highlighted the potential for disruption.
Twin Transformation
As we close out 2024, enterprises are discovering a costly truth: running digital and sustainability transformations in parallel isn't just inefficient—it's a strategic liability. With organisations racing to implement AI governance frameworks while pursuing sustainability certifications like B Corp status, the pressure to demonstrate authentic commitment to both technology and sustainability has never been higher. Yet here's the paradox: many organisations pursuing both digital transformation and sustainability goals are treating these as separate journeys, missing crucial opportunities for synergy.
Citizen X:
Here's a striking statistic to start your day: 84% of government decision-makers plan to invest in GenAI next year. Yes, you read that right. The same sector that often feels stuck in the fax machine era is about to hit fast-forward on digital transformation.
AI on Trial: Should Chatbots Have Legal Rights in the Corporate World?
Introduction: Charting New Territory in AI and Law
Mastering Human-in-the-Loop
A 10-Step Guide to Transforming Decision Making with AI Collaboration
Optimising Legal and Financial Strategies
The 9-Step Guide to Integrating Prompt Engineering in Enterprise Digital Transformation.
