AI, Culture & The Future Of Work With Dr. Kelly Monaghan

Here is an exclusive sneak peek at my upcoming leaders letters newsletter (#211) and The AI moment Podcast collaboration, Kelly and I discuss what many aren’t really diving into: The Agentic Risk, Human Judgement Paradox, and Reclaiming Business Purpose.

If you prefer slides, here is the full conversation broken down:

Here are 8 of my magic moments from my chat with Kelly

1. Redefining The Purpose Of Business Beyond Profit

  • Why it is important: The advent of gen AI is a forcing mechanism that makes us question whether shareholder wealth maximisation is still the sole purpose of a business.

  • Why leaders need to address it: If we do not reimagine the 'art of the possible', AI could simply lead to massive job displacement and widen inequality, rather than unleashing human potential to solve bigger existential problems.

  • Recommended Action: Align your executive team around your true 'why'.
    Before deploying AI, clearly define what value your business adds to society and ensure your AI strategy supports this broader purpose rather than just cutting costs.

2. The 'Elevator' Analogy & Redesigning Workflows

  • Why it is important: Kelly uses her analogy, which is that AI is akin to the invention of the elevator; it shouldn't just be used to go up five floors faster, but rather to redesign the entire architectural blueprint and build 'skyscrapers'.

  • Why leaders need to address it: Using AI merely to do the exact same tasks faster and with fewer people completely misses the transformational opportunity of this moment.

  • Recommended Action: Stop applying AI to existing processes and take the time to deeply reengineer your workflows. Embrace the unglamorous but vital work of fundamentally redesigning how your business operates from the ground up.

3. Ring-Fencing The 'Human in the Loop'

  • Why it is important: Just as the airline industry requires a human pilot for takeoff and landing (Kelly’s other powerful analogy), and retail stores have discovered the necessity of human checkout operators, there are moments that must remain human, regardless of how good AI gets.

  • Why leaders need to address it: Fully automating customer experiences or critical safety decisions can frustrate customers, diminish brand loyalty, and introduce severe safety or regulatory risks.

  • Recommended Action: Determine your human differentiators today. Explicitly identify where AI diminishes the customer experience or compromises safety, and firmly keep human judgment at the centre of those processes.

4. Confronting The Complexity Of Agentic AI

  • Why it is important: Moving from traditional machine learning (where inputs have fixed outputs) to agentic AI introduces very real complexity, as the AI can arrive at different answers for the same query.

  • Why leaders need to address it: This complexity opens up a 'can of worms' regarding legality, fairness, governance, and ultimate responsibility when an AI makes a mistake, which very few organisations have figured out.

  • Recommended Action: Establish robust governance and accountability frameworks before deploying agentic AI. Do not roll out agentic systems in sensitive areas without first determining who is legally and ethically responsible for their outputs.

5. Protecting Human Connection & Psychological Safety

  • Why it is important: Research indicates that the most productive AI users are beginning to trust AI over their human colleagues and prefer working with agentic AI rather than people.

  • Why leaders need to address it: In an already fragile and polarised working environment, treating AI as an empathetic colleague rather than an 'amoral machine' risks severely diminishing human connection and destroying workplace culture.

  • Recommended Action: Design work so that AI is strictly treated as an algorithm or tool. You must actively foster genuine human relationships and collaboration, ensuring teams do not isolate themselves with AI bots.

6. Navigating The 'Power Paradox' And AI Peer Pressure

  • Why it is important: Many executives are driving AI adoption purely out of fear of obsolescence (becoming the next Kodak), a phenomenon rooted in the 'power paradox' where leaders lose sight of the consequences their decisions have on others.

  • Why leaders need to address it: This AI peer pressure (my phrasing for how many are rushing towards using more AI versus better AI) leads to a high-speed train of blind adoption that lacks strategic focus and ignores the very real, often painful, human consequences of transformation.

  • Recommended Action: Slow down and resist AI peer pressure. Be methodical in your approach, ensuring that you account for the human consequences of your decisions, rather than blindly chasing velocity.

7. Avoiding The Trap Of Abandoning Your Core Business

  • Why it is important: Operating in a low-growth macroeconomic environment, many leaders are watching their core businesses shrink and are hastily pivoting to an 'AI-enabled' narrative simply to artificially inflate their valuation or please their investors.

  • Why leaders need to address it: Abandoning your core offering to chase technology hype means you have 'lost the plot'; it often just adds backend complexity and errors without delivering genuine value.

  • Recommended Action: Do not sacrifice your core business for AI optics. Focus on reigning in and strengthening your fundamental value proposition, using technology as an additive tool rather than a complete replacement for what makes your company viable.

8. Matching Technology Investment With Human Upskilling

  • Why it is important: Massive sums are being poured into AI technology infrastructure, while a tiny fraction of that investment is being dedicated to the people who will actually use it.

  • Why leaders need to address it: Treating people solely as a cost and laying them off for short-term gains means losing critical skills that will be incredibly expensive to replace in the next few years.

  • Recommended Action: Commit to a dollar-for-dollar investment match; for every pound you spend on technology, invest an equal amount in upskilling your workforce. Empower your HR teams to map future skills and heavily subsidise professional development and coaching for your staff.

The AI moment podcast (embedded above) and newsletter both drop on Wednesday, 22nd.

Please consider purchasing Kelly’s new book and connecting with her on her site and across LinkedIn

LinkedIn - https://www.linkedin.com/in/kelly-monahan-ph-d-18879413/

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