Beyond the Shiny New Thing: Integrating AI with the Wisdom of the Past

It’s been a month since my last newsletter, and in that time, I’ve been reflecting on the persistent patterns I see in our industry. These patterns are resurfacing now, louder than ever, as AI dominates headlines, LinkedIn feeds, and boardroom conversations. A recent McKinsey report found that while 70% of organizations are piloting AI,

less than 20% have scaled it with measurable value. This is often because foundational practices get overlooked or siloed thinking persists.

Here’s what I’ve noticed: every few years, we latch onto the next big thing: project management offices (PMOs), agile frameworks, change management, now AI. We declare it the silver bullet. We silo ourselves, associating with one methodology while disregarding others, convinced that this time, this framework, this technology will finally solve our most complex challenges.

But the truth is: what we’re experiencing with AI isn’t new. It’s another chapter in a longer story. We’ve done this with every innovation, eagerly embracing the shiny set of tools and, in the process, leaving behind practices and wisdom that worked for us in the past.

With AI, many organizations are repeating the cycle: treating it as a panacea, a standalone solution, rather than integrating it as a sustainable capability into the broader ecosystem of how we work and deliver value. For example, I recently worked with a client who invested heavily in AI-powered tools, only to realize that their impact plateaued until they re-engaged their project management and change leads to bridge the gap between intention and execution. We risk ignoring the foundational questions: Why are we doing this? Who truly benefits from these changes? What outcomes are we actually pursuing?

The real opportunity isn’t in picking sides or rooting for one approach over another. It’s in weaving together the strengths of AI, project management, agile, change management, lean thinking, and adaptive behaviors. It’s about seeing the broader picture by combining what’s new with what’s proven, and evolving our practices in a way that’s responsive, holistic, and focused on delivering meaningful results for our clients and organizations.

Let’s challenge ourselves to move beyond the hype, break down silos, and bring together the best of all worlds. As we’ve seen in recent high-profile AI rollouts, technology alone isn’t the answer. How we implement, adapt, and learn together makes the difference. True progress comes not from blind adoption, but from intentional integration.

So, what can organizations do now to break this pattern and truly empower their people to evolve?

1. Reframe the Narrative: Position AI and other innovations not as replacements, but as enablers within a continuum of learning and improvement. Encourage curiosity about what’s worked before and foster dialogue across teams and disciplines.

2. Invest in Mindset Shifts: Create environments where adaptability, critical thinking, and openness to new and old approaches are rewarded. Equip employees with the tools and psychological safety to question assumptions and experiment responsibly.

3. Enable Cross-Disciplinary Collaboration: Break down silos by forming teams that cut across functions and disciplines, such as project managers, change agents, technologists, and business leads working together. This integration unlocks creativity and more robust solutions.

4. Prioritize Continuous Learning: Embed learning into the flow of work, making time for reflection and skill development. Whether it’s revisiting foundational practices or exploring the latest AI-driven tools, build a culture where growth is ongoing.

5. Focus on Purpose and Outcomes: Anchor every initiative, whether tech-driven or process-led, in clear outcomes that matter to clients, employees, and the organization as a whole. Revisit the core questions: Why are we doing this? Who benefits? What impact are we seeking?

When leaders role-model these behaviors and support their teams through change, not just in adopting new tech, but in integrating it meaningfully with enduring practices, organizations can thrive in complexity. It’s not about the next big thing; it’s about building enduring capability and resilience for whatever comes next. If you’re thinking about AI, experimenting with it, or striving to make sense of how it fits with your organization’s broader journey, I’d love to connect.

Let’s start a conversation about what’s working, what’s challenging, and how we can collectively move beyond the hype to create real, sustainable impact. Reach out or share your experiences, because together, we can shape a future that leverages both innovation and wisdom.

References & Further Reading

McKinsey: [The State of AI in 2023](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year)

Gartner: [Top Strategic Technology Trends for 2024](https://www.gartner.com/en/information-technology/insights/top-technology-trends)

Harvard Business Review: [How to Lead Through a Digital Transformation](https://hbr.org/2023/12/how-to-lead-through-a-digital-transformation)

Prosci: [Change Management and AI](https://www.prosci.com/resources/articles/change-management-and-ai)

Project Management Institute: [Integrating AI into Project Management](https://www.pmi.org/learning/library/artificial-intelligence-integration-project-management-13359)

MIT Sloan Management Review: [Why So Many High-Profile Digital Transformations Fail](https://sloanreview.mit.edu/article/why-so-many-high-profile-digital-transformations-fail/)