Highlights of the Week in Creative Leadership: March 14, 2025

Challenging the superficial understanding of network weaving as a relationship-building soft skill, experience designer and systems thinking expert Adrian Röbke outlines weaving’s deep function as the connective tissue holding adaptable ecosystems of change together and allowing complex challenges to be addressed. Network weavers serve as catalysts, coordinating relationships, knowledge, and resources to transform fragmented initiatives into collective power. Yet, as the metaphorical iceberg conveys, their impact – cultivating trust, bridging siloed efforts, fostering collaborative learning, and nurturing well-being within networks – is often unseen beneath the surface, undervalued, and underfunded. These activities transform seeming disjointed efforts into collective power capable of addressing wicked problems like climate change and social inequity. Robke’s takeaway is unmistakable: in our complex, interdependent world, intentional weaving is a strategic leadership practice that should be deliberately developed, recognized, and resourced to catalyze the adaptive, resilient networks needed for substantive change.

Adrian Röbke (2025) “Network Weaving Isn’t Just What You See,” The Systemic Shift Newsletter, March 10, 2025.

MIT leadership researchers Michael Schrage and David Kiron argue that philosophy, not just technology, fundamentally shapes how AI systems reason, predict, and create. While discussions about AI often focus on ethics and responsible use guidelines, the authors contend that philosophy’s influence extends much further – into epistemology (what constitutes the knowledge we produce and circulate with AI), teleology (or purpose, what AI should achieve), and ontology (how AI represents reality). Google’s Gemini image generation failures demonstrated teleological chaos, while Amazon Prime and Starbucks succeeded by philosophically reframing customer loyalty concepts. For executives navigating increasingly autonomous and agentic AI systems, the imperative is clear: invest in critical thinking skills that transform machines into strategic partners. For today’s leaders, the message is clear: AI’s enterprise future belongs not to those who merely harness computational power, but to those who articulate philosophical frameworks that align AI capabilities with organizational values and objectives, treating philosophical alignment not as academic exercise but as strategic necessity in AI implementation.

Michael Schrage and David Kiron (2025) “Philosophy Eats AI,” MIT Sloan Management Review, January 16, 2025.

Though basics of the Dunning-Kruger effect are increasingly well-known – those who lack competence confidently overestimate their abilities, while true experts underestimate the value of theirs – this helpful overview by two founders of The Decision Lab explores related research, impacts, and, especially, actions that can be taken in response. The overarching explanation is that novices lack the metacognitive skills or self-awareness to recognize their shortcomings at the same time experts assume their expertise is common knowledge. Despite questions about its scientific status, the organizational impact of the cognitive bias remains significant: it inflates egos, distorts self-awareness, fuels imposter syndrome, causes resistance to feedback, and can lead to poor decision-making, missed learning opportunities, and even shape misguided policies or organizational dysfunction. In an era when the loudest voices often command the most attention, creative leadership demands not just confidence, but the discernment to know when to question it. Practically, this can translate into establishing objective performance metrics, nurturing a culture where humility is rewarded alongside achievement, encouraging peer collaboration an acknowledging varying skill levels, and implementing structured feedback systems that bypass the cognitive blind spots that limit both individual growth and team innovation.

Dan Pilat and Dr. Sekoul Krastev (2021) “Why Do We Fail To Accurately Gauge Our Own Abilities? The Dunning–Kruger Effect, Explained,” The Decision Lab.

In a classic review essay, U.S. historian Garry Wills dismantles the caricature of Adam Smith as the prophet of self-interest, revealing a thinker deeply concerned with cooperation and moral order. Smith’s Theory of Moral Sentiments and Wealth of Nations emerge not as contradictions but as complementary visions of society’s ethical and economic underpinnings. Division of labor, long reduced to efficiency, is shown to be rooted in mutual reliance. Competition, far from cutthroat, functions within a framework of fair play and shared progress. Modern corporate structures, with their fragmented responsibilities, ironically resemble what Smith criticized rather than what he advocated. For today’s leaders, particularly those committed to alternative creative businesses and work, this Smith – both humane and pragmatic – offers a nuanced vision of effective organizing that emphasizes mutual benefit within cohesive groups working toward shared goals.

Garry Wills (1978) “Benevolent Adam Smith,” The New York Review of Books, February 9, 1978.

In The Human Edge, poet and UCLA cognitive scientist Keith J. Holyoak argues that analogy – our ability to perceive relationships between disparate ideas across domains – is the cornerstone of creative intelligence, enabling scientific discovery, innovation, and meaning-making. This superpower emerges around age three and underpins both problem-solving and creative breakthroughs. While sharing certain cognitive foundations with other species, humans possess a unique ‘Late System’ that allows for domain-general relational thinking. Analogical thinking enables us to transfer solutions across contexts, as evidenced by experiments where participants solve medical problems using military strategies. And as AI systems become more capable of mimicking analogical reasoning, Holyoak believes they still lack the flexible, deep relational thinking that analogy enables. For creative leaders and organizing, the implications are profound: deliberately cultivating analogical thinking in teams can unlock innovative solutions to complex challenges. By bridging disciplinary boundaries and building environments where diverse knowledge connections flourish, leaders can foster the cross-pollination of ideas that drives creativity and innovation.

Keith J. Holyoak (2025) The Human Edge: Analogy and the Roots of Creative Intelligence, Cambridge, MA, MIT Press.

An Open Access digital edition is available for free download at: https://direct.mit.edu/books/oa-monograph/5912/The-Human-EdgeAnalogy-and-the-Roots-of-Creative 

An illuminating interview with Holyoak by MIT Press editors is available at: https://thereader.mitpress.mit.edu/analogy-and-the-roots-of-creative-intelligence/