Posted in  Relational Authority Posts   on  November 13, 2025 by  Nigel Rawlins

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At a Glance: Post-Expertise and
The Next Generation of Knowledge Creation

This final article in the Engaged Epistemology Series synthesises how knowledge work is fundamentally transforming as organisations shift from stable machines to complex adaptive systems that are "always becoming."

You'll understand the philosophical and scientific foundations—from process complexity to engaged epistemology—that explain why wisdom-based collaborative discovery creates more value than expertise-based solution delivery. Most importantly, you'll discover that the most effective practitioners have been working this way for years, and now we finally have the language to articulate why their approach succeeds where traditional consulting increasingly fails.

By integrating insights from complexity science, cognitive philosophy, and practical business strategy, you'll gain frameworks for positioning collaborative wisdom work as sophisticated professional practice rather than outdated facilitation.

You can't sell knowledge anymore, but you can sell wisdom—the accumulated pattern recognition that helps clients see what they're looking at and discover what they didn't know they needed to understand

The Unspoken Concern

If you've spent three decades mastering your domain, you can probably walk into complex situations and immediately sense what others miss. But when you try to explain what makes you valuable, you find yourself listing credentials and experience rather than articulating the sophisticated cognitive capabilities that experience reflects.

You're wondering:

"Is my way of working—collaborative, relationship-based, drawing on accumulated judgment—outdated? Or am I operating at a more sophisticated level that the market hasn't yet learned to recognise?"

The answer determines whether you position yourself as a commodity fighting on price, or as a premium wisdom partner commanding rates that reflect your distinctive value.

You're sensing that something fundamental has shifted in how knowledge work operates, but you may be lacking the frameworks to articulate what you're experiencing. Traditional expert consulting feels increasingly hollow—clients hire you for answers, then struggle to implement them. Your best work happens in sustained collaboration, not one-time deliverables.

Here's what you need to understand: You're not losing your edge. You're witnessing a deep epistemological shift in how valuable knowledge work operates. Your discomfort with the traditional expert model isn't a weakness—it's recognition that complex problems require approaches the traditional consulting model cannot provide.

The Journey We've Taken: Series Synthesis

The professional journey we've taken

Before we explore what comes next, let's acknowledge how far we've traveled together through this series.

Parts 1-3 established that knowledge work is becoming relational work. We introduced participatory sense-making—the recognition that in complex situations, understanding doesn't exist in anyone's head waiting to be transferred but emerges through caring, embodied interaction between people navigating real situations together. We explored learning partnerships that leverage collective cognition, shifting from "I have the answer" to "I can help us discover answers none of us currently see."

Parts 4-7 explored how your accumulated experience manifests as sophisticated cognitive capabilities. 

  • We examined embodied intelligence—how decades of professional engagement create somatic pattern recognition. We investigated intercorporeal intelligence—your ability to read relational dynamics and diagnose systemic issues through accumulated sensitivity to interpersonal patterns. We addressed strategic restraint—the paradoxical power of knowing when not to act. 
  • We explored aging as a cognitive advantage, examining research showing that crystallised intelligence (accumulated wisdom, pattern recognition, integrated judgment) continues improving well into our seventies.

What's missing: the worldview shift that explains why this evolution is inevitable rather than optional.

Understanding the Terminology: Epistemology and Ontology

You don't need a philosophy degree to understand why your practice feels different from traditional consulting. But understanding a few key concepts helps you articulate what you're actually offering—and why it commands premium rates.

Making Philosophy Practical

Epistemology is the study of how we know what we know.

It asks:

  • What knowledge matters? 
  • How do we gain access to it?

Traditional consulting epistemology

In traditional consulting epistemology, knowledge exists "out there" in the world, waiting to be discovered, mastered, and transferred from expert to client. Your job becomes developing superior representations of reality—sharper analysis, deeper insights—then delivering those representations through reports and recommendations.

Engaged epistemology

In engaged epistemology—the framework we've been building throughout this series—knowledge emerges through caring, embodied relationships between people navigating real situations together.

Here, "embodied" means you're physically present and engaged, bringing your whole self—including gut instincts, somatic awareness, and decades of accumulated pattern recognition—not just intellectual analysis.

This knowledge doesn't exist independently, waiting to be discovered. It emerges through the interaction itself. Your job isn't delivering pre-packaged expertise; it's creating the conditions for this understanding to emerge through collaborative engagement.

For your practice, this shift is profound. You're not trying to transfer knowledge from your head to your client's implementation. You're facilitating the emergence of new understanding that neither of you possessed before the engagement. Your value isn't what you know—it's your ability to orchestrate the relationships through which knowledge comes into being.

Ontology and the Nature of Reality

Ontology asks: What is the nature of reality itself? More practically, it examines whether we view the world as made of stable structures that occasionally change, or as ongoing patterns that emerge, stabilise temporarily, and dissolve in response to context and interaction.

Traditional Business Ontology

Traditional business ontology treats organisations as machines made of separate, stable parts that can be optimised through rational analysis. Problems have definable causes. Solutions follow predictably from proper diagnosis. Change happens through planned interventions executed with sufficient discipline.

Process Ontology

Process ontology—emerging from complexity science and philosophical phenomenology—understands everything as "always becoming." Reality isn't made of stable things that occasionally change. It's made of patterns that emerge, stabilise temporarily, and dissolve through ongoing relationships and interactions.

For your practice, this distinction transforms your value proposition. If organisations are machines, clients need technical experts who understand the mechanisms. If organisations are patterns emerging through interaction, clients need wisdom partners who can sense emerging dynamics, facilitate adaptive response, and help systems navigate continuous becoming rather than execute predetermined change.

This explains why traditional strategic planning increasingly fails (it assumes stable systems that change episodically) while adaptive approaches succeed (they recognise continuous emergence requiring ongoing attention and response).

The Process Complexity Revolution

Jean Boulton's seven characteristics of complex adaptive systems

Physicist and complexity theorist Jean Boulton's work provides scientific foundation for what experienced professionals intuitively understand: the world is processual, not mechanical.

The traditional mechanical worldview treats organisations as stable systems that only sometimes change. Problems have definable causes and predictable solutions. Planning means creating detailed roadmaps and executing them. Consultants deliver certainty through analytical expertise.

Process complexity sees reality differently. As Boulton explains, process is primary—the ongoing mechanisms through which things come together, stabilise temporarily, and dissolve. What we perceive as stable structures are actually patterns maintained through continuous adaptive response.

Change is more fundamental than stability; the world is "always becoming."

In developing her framework, Boulton integrates ancient Daoist philosophy with modern complexity science. The Daoist understanding that "the path is made through walking" captures something essential about complex adaptive systems: the future doesn't exist as a predetermined destination waiting to be reached through proper planning.

Instead, it emerges through the choices and interactions happening now. Each step you take creates the ground for the next step, which couldn't have existed until you moved.

It's easy to label this as a philosophical abstraction, but in practice, it is a reality for organisations navigating genuine complexity. Strategic plans become obsolete not because they were poorly conceived, but because the act of implementing them changes the landscape, revealing new possibilities and constraints that couldn't have been anticipated.  Wisdom guides navigation through this uncertainty rather than attempting to control it.

For your practice, Boulton's research validates something you may have recognised from experience: detailed strategic plans often become obsolete before implementation, while organisations that build adaptive capacity thrive despite disruption. The consultant's role isn't providing the "right answer" but facilitating the adaptive capacity to navigate continuous change.

This explains why your accumulated professional judgment matters more than younger consultants' technical knowledge. Through your working life you will have internalised decades of pattern recognition across countless professional encounters. Rather than thinking of this as an intellectual exercise, recognise for what it is, it is your embodied awareness surfacing as a physical sensation before conscious thought. You walk into a room and sense tension. You review a plan and something feels wrong before you can name what. You recognise dynamics you've seen fail repeatedly.

Boulton identifies key characteristics of complex systems that your experience may have taught you to recognise:

  • Systemic: Everything interconnects in ways that resist simple cause-effect analysis. You recognise webs of interdependence that others miss.
  • Patterned: Situations display recurring dynamics while remaining unique. You recognise patterns others don't yet know to look for while recognising when surface similarities mask deep differences.
  • Path-dependent: History shapes but doesn't determine the present; the present limits but doesn't determine the future. You understand how organisations' past decisions constrain current options while new possibilities continuously emerge.
  • Particular: Context matters profoundly. Your accumulated wisdom includes knowing which details matter and which don't—judgment that develops only through sustained exposure to contextual variation.
  • Paradoxical: Some tensions cannot be resolved, only navigated. Experience teaches you to hold paradox rather than forcing premature resolution.
  • Punctuated: Long periods of apparent stability punctuated by rapid change. You've witnessed enough cycles to recognise when systems approach tipping points.
  • Emergent: Genuinely new possibilities arise that couldn't have been predicted. Experience has taught you humility—the recognition that no amount of analysis guarantees foresight.

These are the characteristics of the organisational reality you navigate daily. Your professional experience has calibrated your perception to recognise these dynamics. This is crystallised intelligence in action: increasingly sophisticated pattern recognition that develops only through decades of professional engagement.

The Extended Mind Revolution

Traditional cognitive science locates thinking inside individual brains. The Extended Mind theory—developed by philosophers Andy Clark and David Chalmers—demonstrates that cognition extends through tools, relationships, and environments. Thinking doesn't stop at your skin.

Your professional network, your systematic approaches, your accumulated practices, even your physical workspace—these are literally part of your cognitive architecture, not just support for cognition happening inside your head.

For your practice, this reframe is liberating. Your value isn't just what's inside your head. 

It includes 

  • your relational capital (decades of professional relationships), 
  • your systematic methodologies (approaches refined through repeated application), 
  • your embodied wisdom (somatic intelligence developed through sustained professional engagement), and 
  • your technological infrastructure (tools that extend your analytical capability).

When Jon Younger, at 73, says "you can't sell knowledge anymore," he's recognising this shift. AI provides knowledge instantly—facts, frameworks, analytical output. B

ut wisdom—accumulated pattern recognition, strategic judgment, the ability to sense what matters in specific situations—cannot be automated because it's fundamentally relational and embodied. It exists in the interaction between you, your accumulated experience, your professional networks, and your client's specific context.

Sabina Leonelli, philosopher of science and technology, provides academic validation through her concept of "complementary science." The most sophisticated problem-solving integrates multiple knowledge domains—empirical data, contextual understanding, ethical frameworks, human experience—rather than privileging one form of knowledge as superior.

Traditional consulting treats business problems as purely technical challenges solvable through analytical frameworks alone. But organisational challenges rarely yield to single-domain solutions. They require combining quantitative analysis with qualitative judgment, balancing short-term metrics with long-term sustainability, weaving together strategy, culture, operations, and relationships.

Your experience has created precisely this complementary cognitive capability. Younger consultants often excel at specific technical domains. But complex organisational challenges require simultaneous attention to technical requirements, human dynamics, political realities, cultural contexts, strategic implications, and ethical considerations. Only sustained professional engagement across these domains creates the integrative capacity to hold multiple perspectives simultaneously.

How Our Worldview is Changing: From Representation to Enaction

Traditional consulting operates on representational epistemology:
Expert observes world → Creates internal mental model → Delivers representation to client → Client implements.

This model is breaking down. Complex adaptive systems cannot be "known" through static representations—they're continuously evolving.

Most valuable organisational problems are ambiguous, not just complicated. They don't have single correct answers. AI creates representations faster than humans. Implementations fail despite brilliant recommendations because people don't own the understanding they didn't help create.

Process complexity offers a radically different view.

Reality is "always becoming"—patterns emerging through interaction, not fixed states awaiting description. Understanding emerges through engagement with situations as they unfold, not through detached observation.

The path is made through walking. 

You cannot know the destination in advance because it emerges through intentional action.

For your practice, this transforms your value proposition. You don't deliver knowledge about their situation that exists independently. You help clients enact understanding through collaborative engagement with their situation as it unfolds. Knowledge doesn't precede action—it emerges through intelligent action.

This explains why your best work happens in sustained engagement rather than one-time analysis. You're not transferring knowledge; you're facilitating the process through which knowledge comes into being. Your accumulated wisdom guides this process—you recognise patterns, sense what matters, ask questions that shift perception—but the understanding itself emerges through the collaborative work.

What This Means for Your Practice: Designing Post-Expertise Work

Experienced professionals engaged in strategic dialogue demonstrating wisdom partnership approach to collaborative problem-solving

The epistemological shift: from expertise epistemology (knowledge resides in expert minds, transferred through analysis) to engaged epistemology (understanding emerges through caring, embodied, collaborative relationships). And from mechanical ontology (organisations as stable systems) to process ontology (reality as "always becoming").

Your professional experience has prepared you for this emerging wisdom economy. Now let's translate these philosophical foundations into practical business design.

Knowledge You Can't Sell Anymore

Stop positioning individual analytical expertise ("I'll analyse your situation and tell you what to do"), pre-packaged methodologies ("I'll apply this proven framework"), industry knowledge as credentials, or linear project delivery as your primary value. If you position primarily around individual expertise, you're competing where you have three disadvantages: 

  • you cost more than younger consultants, 
  • you can't match AI's analytical speed, and 
  • you're fighting the perception that experience equals outdated thinking

Wisdom You Can Position Uniquely

  • Network orchestration capability: Your ability to identify whose perspectives matter for specific problems and facilitate productive interaction between them. Your experience across organisational levels, functions, and industries have taught you patterns of interdependence that younger consultants have yet to experience.
  • Interactive exploration facilitation: Your ability to guide groups through defining problems and discovering solutions rather than executing predetermined analysis. This requires what Leonelli calls "complementary science"—simultaneously holding technical understanding, interpersonal dynamics, organisational politics, strategic implications, and ethical considerations.
  • Constructive friction design: Your ability to create conditions where disagreement becomes generative rather than destructive. Understanding this requires sophisticated social intelligence that only develops through sustained exposure to organisational dynamics.
  • Contextual pattern recognition: Your ability to sense which aspects of accumulated knowledge apply to specific situations while recognising what makes each situation unique. This is crystallised intelligence in action—decades of pattern recognition creating sophisticated diagnostic capability.
  • Cognitive co-pilot integration: Your sophisticated ability to leverage AI for analysis while maintaining human judgment about problem definition and solution direction. Only professionals with deep domain expertise can effectively evaluate AI outputs.
  • Relational capital as cognitive infrastructure: Your professional network as literal cognitive extension. You've spent decades building reciprocal relationships with diverse professionals. This relational capital took 30 years to develop—it cannot be replicated quickly.

Business Model Implications

Traditional consulting defines scope upfront, delivers analysis, presents recommendations, ends with delivery. Success equals client satisfaction with deliverables.

Networked cognition engagement begins with interactive exploration (problem may shift), identifies whose perspectives matter, facilitates collective sense-making through constructive friction, co-creates understanding with client team, evolves based on emerging insights, and measures success by client capability to continue problem-solving independently.

Pricing shifts from hourly rates or fixed project fees to retainer for thinking partnership (ongoing relationship focused on capability building), value-based fees for transformation capability (outcome orientation), or equity participation for true partnership.

Where This Leaves You: The Monday Morning Question

You have a choice about how to position your practice moving forward.

Where This Leaves You: The Monday Morning Question

You have a choice about how to position your practice moving forward.

Path 1

Compete as commodity expert. List credentials and experience as primary differentiators. Offer diagnostic expertise and implementation support. Price by time or fixed project fees. Position around individual analytical capability. Watch younger competitors undercut you while AI erodes your knowledge base. Result: declining rates, increasing anxiety, eventual irrelevance.

Path 2

Position as wisdom partner. Articulate your distinctive pattern recognition capabilities. Offer collaborative intelligence and facilitated discovery. Price for transformation and long-term thinking partnership. Position around networked cognition and orchestration capability. Build practice around capabilities that crystallise with experience. Result: premium positioning, meaningful work, sustainable practice.

The philosophical foundations we've explored explain why the first path leads to obsolescence while the second leads to distinction. You're not fighting market forces—you're riding a fundamental epistemic shift in how knowledge work operates.

Next Steps: Building Your Post-Expertise Practice

Monday morning action 1: Audit your current positioning

Review your website, LinkedIn profile, and pitch materials. Count references to credentials and years of experience, methodologies and frameworks you apply, versus references to pattern recognition capabilities you've developed, collaborative processes you facilitate, organisational capabilities you help build.

If your positioning skews heavily toward the first list, you're fighting an uphill battle against younger cheaper competitors and AI. Time to reframe.

Monday morning action 2: Document your distinctive wisdom

Identify three client situations where your immediate pattern recognition created value others missed. For each situation, write down what you noticed that others didn't, how quickly you recognised it, what decades of experience enabled that recognition, and what outcome resulted.

This becomes the foundation for articulating your diagnostic capability through specific examples of pattern recognition in action.

Monday morning action 3: Redesign one engagement

Take your next potential project. Before submitting a traditional proposal, arrange to have a conversation rather than just submit a proposal: 

  • What's the presenting problem versus the actual challenge? 
  • Whose perspectives need inclusion? 
  • What would interactive exploration look like? 
  • How could I facilitate discovery rather than deliver recommendations? 
  • What capability would clients gain?

Restructure your proposal around these questions. You may lose the client, but this will have been observed through their answers to your question, meaning that they have just wanted traditional consulting. But you'll start building a portfolio of wisdom-partnership engagements that reflect your actual value.

Series Conclusion: What Engaged Epistemology Makes Possible

For Your Practice

Engaged epistemology provides intellectual framework for collaborative approaches that experienced practitioners have been using intuitively for years, language to articulate why conversation-first discovery creates more value than proposal-driven delivery, business models centered on wisdom capabilities that strengthen with experience, and strategic positioning that demonstrates sophistication rather than defending against perceptions of obsolescence.

This isn't about inventing something new—it's about finally having the theoretical foundations to articulate and defend what effective practitioners already know: complex adaptive challenges require wisdom-based collaborative discovery, not expertise-based solution delivery.

The market hasn't fully developed language for this distinction, which creates opportunity. You can define the category rather than compete within frameworks designed for traditional consulting.

For Your Clients

Engaged epistemology delivers emergent understanding unavailable through expert consultation, capability development rather than solution dependency, transformation that sticks because it was discovered not imposed, and enhanced organisational intelligence for navigating continuous complexity.

Your clients may not initially understand engaged epistemology as theoretical framework. But they recognise its value through experience—the team alignment emerging through facilitated exploration, solution robustness coming from productive friction between perspectives, and capability remaining after you leave because they developed it through collaborative work.

For the Profession

The transformation from expertise to engagement, from knowledge to wisdom, from transactional consulting to relational partnership isn't a trend you can wait out. It's recognition of fundamental shift in how knowledge work operates as organisations become increasingly complex and adaptive.

The philosophical foundations we've explored—process complexity, extended mind theory, networked cognition, participatory sense-making—aren't academic concepts to master. They're frameworks that help you recognise, articulate, and position the sophisticated capabilities you've developed through years of professional practice.

You're not "just a facilitator" or "losing your edge." You're operating at a more sophisticated level than traditional expertise-based consulting. The challenge has been competing against firms promising certainty through standardised methodologies. These frameworks finally provide the language to explain why wisdom-based collaborative discovery addresses complexity that predetermined solutions cannot touch.

The Critical Recognition

This isn't about how long you've been working. It's about whether you've developed the cognitive capabilities that complex challenges require—the ability to sense what matters in specific situations, recognise which patterns apply and which don't, hold paradoxes without forcing premature resolution, facilitate productive friction, and guide discovery processes that build adaptive capacity.

Some practitioners develop these capabilities early through exceptional mentoring or fortunate circumstances. Others accumulate years without developing wisdom—continuing to deliver predetermined methodologies regardless of context. What matters is the sophistication of your approach and your ability to articulate why it creates value.

You're not aging into irrelevance or inventing radical new practices. You're recognising that the world has changed, organisations operate as complex adaptive systems, and the conversation-first approach you may have been using intuitively now has scientific and philosophical validation.

The epistemological revolution is here. The question is whether you can articulate what you offer in ways that demonstrate wisdom rather than just claim expertise, and whether you can position your practice around the sophisticated capabilities that create genuine value in complex environments.

Your practice can embody the future of knowledge work. Time to position it that way.

Post-Expertise: Designing the Next Generation of Knowledge Creation FAQs

Use a three-phase approach over 6-12 months.

Phase 1 (Months 1-3): Continue delivering traditional consulting while adding facilitation elements. "As part of this project, I'd like to structure some working sessions with your team to ensure collective ownership." You're not changing the contract, just enhancing delivery.

Phase 2 (Months 4-6): When projects reach natural milestones, propose evolution for the next phase. "Rather than me developing comprehensive recommendations, I propose we transition to collaborative exploration where I facilitate your team's discovery while bringing pattern recognition from similar situations."

Phase 3 (Months 6-12): For new opportunities, lead with wisdom partnership positioning. Existing clients provide proof of concept. This isn't sudden transformation—it's strategic evolution that honours where you are while moving toward where you want to be. Give yourself 12-18 months for complete transition.

You're already losing those clients—they're the commodity buyers seeking lowest cost for predetermined scope. Let them go. Your target market is sophisticated organisations facing genuinely complex challenges where predetermined methodology applied by junior consultants fails predictably.

These clients have implemented brilliant strategies that didn't stick because teams didn't own them. They're frustrated with traditional consulting. They recognise that their presenting problem often differs from the actual challenge. They value capability building over quick fixes. They understand that facilitated discovery creates more lasting value than expert prescription.

Your decades of experience become competitive advantage with these clients precisely because you can recognise what they're actually facing (not just what they're asking for), orchestrate the perspectives that matter, and facilitate emergence of understanding that couldn't exist without your accumulated wisdom. This commands premium rates from clients who recognise wisdom when they encounter it.

AI provides representations—analysis, frameworks, information synthesis. You provide wisdom—the accumulated pattern recognition that helps clients see what they're looking at and discover what they didn't know they needed to understand. This is fundamentally different.

When you walk into a client situation, you immediately sense dynamics that take others weeks to recognise. You know which frameworks apply to this specific context and which don't. You recognise whose perspectives matter and how to facilitate productive friction between them. You hold paradox rather than forcing premature resolution. You sense when systems approach tipping points. This sophisticated judgment develops only through decades of professional engagement across countless situations.

Use AI strategically for what machines do better—data analysis, information synthesis, research aggregation. This means clients get enterprise-grade analytical capabilities at independent consultant rates. But they're hiring your three decades of accumulated judgment about what the analysis means and what to do about it. That wisdom cannot be automated because it's fundamentally relational and embodied—it exists in the interaction between you, your accumulated experience, and your client's specific context.

Track three categories of indicators.
Positioning indicators: Client conversations focus on your capabilities rather than your credentials. You can articulate value without listing years of experience. Proposals emphasise capability building not deliverables.

Business model indicators: Increasing percentage of revenue from retainers versus projects. Average engagement length extending from 3 months to 6-12 months. You're bringing network members into client work regularly. Client engagements focus on transformation not task completion.

Capability indicators: You're comfortable facilitating rather than always presenting solutions. Clients explicitly value your "seeing what others miss." You're energised by work rather than depleted by performing expertise. Your practice feels sustainable at your current life stage.

Most importantly: are you attracting premium clients who recognise wisdom partnership as more sophisticated than traditional consulting, or commodity buyers seeking lowest cost? The former indicates successful transition; the latter suggests positioning needs refinement. Review quarterly—this is fundamental repositioning requiring 6-12 months, not quick optimisation.


Resources

Boulton, Jean. The Dao of Complexity: Making Sense and Making Waves in Turbulent Times

  • Process ontology and complexity science foundations
  • Seven characteristics of complex adaptive systems
  • Integration of Daoist philosophy with modern complexity science

Levitin, Daniel J. Successful Aging: A Neuroscientist Explores the Power and Potential of Our Lives (2020)

  • Research on crystallized intelligence improving with age
  • Pattern recognition and wisdom as cognitive advantages

Leonelli, Sabina. Data-Centric Biology: A Philosophical Study (2016)

  • Complementary science framework
  • Integration of multiple knowledge domains for sophisticated problem-solving

Varela, Francisco, Evan Thompson, and Eleanor Rosch. The Embodied Mind: Cognitive Science and Human Experience (1991)

  • Foundations of enactive cognitive science
  • Knowledge as enacted through interaction

Academic Articles

Clark, Andy and David Chalmers. "The Extended Mind" (1998)

  • Theory that cognition extends through tools, relationships, and environments
  • The Parity Principle for evaluating cognitive extension

De Jaegher, Hanne. Research on participatory sense-making and enactive cognition

  • Theory of how understanding emerges through caring, embodied interaction

Kilpi, Esko. Articles on networked cognition and future of work

  • Available at: esko.kilpi.fi and Medium publications
  • Frameworks for work as interactive exploration
  • Technology as "cognitive co-pilot"

Podcasts

Love and Philosophy Podcast (Host: Andrea Hiott)

  • Episodes featuring Hanne De Jaegher's work on loving and knowing
  • Exploration of engaged epistemology

Wisepreneurs Podcast (Host: Nigel Rawlins)

  • 75+ episodes available on all platforms
  • Interview with Jon Younger on wisdom vs. knowledge
  • Topics: wisdom commercialisation, professional transitions, independent practice

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