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Enablement Capitalism, Part 5: From Extraction To Enablement

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In Part 1 of this series on Enablement Capitalism, I proposed a shift in capitalism’s operating logic: from selling outputs to increasing what customers can accomplish.
In Part 2, I described why this shift is emerging now: a new constraint regime shaped by complexity, aspiration, AI-scaled capability, and organizational innovation.
In Part 3, I offered a diagnostic—the Enablement Index—to show whether a firm is built for customer progress.
In Part 4, I described the operating model: moving from producer space into customer space, and building the enablement loop:

Sense → Scaffold → Embed → Measure → Learn → Expand.

Now it’s time to zoom out.

Enablement capitalism is not just a business trend or a technology story. It is a moral and institutional upgrade—an improvement in capitalism’s “purpose function.” It changes what capitalism is for, and who it should serve.

And because it changes the logic of value creation, it may also change our politics—especially the role of government.

1) Capitalism’s upgrade: from efficiency and extraction to customer achievement

Managerial capitalism delivered enormous material progress. It also installed a particular worldview: the firm is a production machine, the customer is an endpoint, and success is measured by efficiency in production and extraction in exchange.

In that worldview, customers were rarely granted a place of real superiority. They were “demand,” “segments,” “targets,” “funnels,” “retention cohorts.” Customer value was something to be captured.

This is the deep reason so many firms struggle with enablement. Enablement requires a mindset reversal.

In the value creation era, the customer is not an endpoint. The customer is the site of value creation.

Value is not embedded in products. It is realized by customers as lived experience and tangible progress—when they achieve something that matters to them.

Enablement capitalism makes that explicit and operational:

  • The enterprise does not “deliver value” as a thing, or an identifiable quantity.

  • The enterprise assembles resources and capabilities to enable customer achievement.

  • The economic relationship deepens when customers become more capable—and are able to do more, to achieve more, repeatedly.

This shift is not sentimentality. It’s not about caring. It’s a structural change in what the market selects for.

Under managerial capitalism, firms could win by outproducing, outmarketing, outdistributing—by being more efficient at pushing outputs into markets.

Under enablement capitalism, firms increasingly win by removing customer bottlenecks, barriers and difficulties encountered in customer space. Firms become capability amplifiers. Customers return not because they are locked in or “retained”, but because they are growing.

That is the upgrade: from an economy oriented around extraction to an economy oriented around customer progress.

2) What enablement does to the firm: the end of managerial distance

Managerial capitalism created distance. It organized around internal functions, hierarchies, planning cycles, and control systems. It treated customers as “outside.”

Enablement collapses that distance.

To enable customers, firms must operate in customer space:

  • understand customer workflows and constraints

  • supply scaffolding (templates, workflows, guidance, integrations, agents, embedded expertise)

  • learn from progress signals (time-to-first-win, time-to-competence, market share gains,repeatable outcome rates)

  • decentralize judgment so the organization can adapt at the interface with reality

This is why enablement capitalism aligns naturally with the post-managerial era. You don’t “manage” customers into success. You build systems that help customers succeed—and you build organizations that can learn fast enough to keep doing it.

3) The deep promise: prosperity through capability expansion

If you want a one-line definition of what’s new here, it’s this:

Enablement capitalism is an economy organized around capability expansion.

That sounds abstract until you feel it:

  • A writer becomes a publisher and builds a direct relationship with readers.

  • A small team gains leverage and produces at the level of a large department.

  • A constrained organization gains operational capability under complexity.

  • Individuals learn faster, build faster, decide better, iterate more freely.

This is why AI matters. AI is not merely automation. It is scalable scaffolding: an amplifier of human capability. It can turn aspiration into structured action, and structured action into outcomes. It makes enablement cheaper, faster, and more widely available.

When capability becomes more available, ambition expands. When ambition expands, enablement becomes more valuable. This is the compounding flywheel at the center of the value creation era.

4) The political implication: from regulatory state to enabling state

Now the second theme—the one that may surprise people—is that enablement is not only a business model. It is a governance model.

Most modern governments primarily see themselves as regulators: limiting harm, adjudicating disputes, enforcing rules, preventing failure. Some of that is necessary. But when regulation becomes the dominant stance, it turns society into what Dan Wang has called a lawyerly society—a system optimized for constraint, procedure, risk-avoidance, and permissioning.

Enablement suggests an alternative: an enabling stance.

The question shifts from:

  • “How do we control?”
    to

  • “How do we enable citizens to accomplish what they are trying to accomplish—safely, fairly, and at scale?”

This is not a call for deregulation-as-ideology. It is a call for a different orientation: government as scaffolding rather than government as obstacle.

Think of the contrast as two postures:

Regulatory posture (default today)

  • Prevent error

  • Reduce risk

  • Increase compliance

  • Slow systems down so they can be audited

Enabling posture (the engineering society)

  • Remove bottlenecks

  • Build infrastructure

  • Standardize interfaces

  • Increase capability and throughput while maintaining guardrails

The enabling stance is what engineers do at their best: they don’t primarily adjudicate. They build pathways. They create structures that allow outcomes to happen reliably.

This is the promise of what Dan Wang calls an “engineering society”: not a society run by engineers as a class, but a society shaped by engineering virtues—problem solving, infrastructure building, system improvement, practical iteration, measurable progress.

In enablement capitalism terms, government can learn to operate in citizen space the way enablement firms operate in customer space:

  • sense where people stall

  • build scaffolding and infrastructure

  • measure progress signals

  • iterate and improve

Government becomes less a courtroom and more a workshop.

5) Two guardrails: enablement must not become control or dependency

Every new logic has failure modes, and enablement capitalism has two serious ones.

Failure mode #1: Enablement becomes surveillance

If “operating in customer space” becomes monitoring, nudging, and manipulating, then enablement collapses into control. Customers won’t feel more capable; they’ll feel managed.

Failure mode #2: Enablement becomes dependency

If scaffolding is designed to trap rather than empower—if the customer becomes less capable without the platform—then what looks like enablement becomes extraction in a new disguise.

This is why enablement requires governance by principles: transparency, consent, customer sovereignty, and a commitment to increased capability rather than increased dependence.

The value creation era must be built on trust, or it will be rejected.

6) The simple test of the new era

As we close this series, I’ll offer one simple test of whether you’re seeing enablement capitalism clearly.

Ask of any enterprise—or institution:

Do they leave people more capable than they found them?

Not “more engaged.” Not “more retained.” Not “more monetized.”

More capable. More able to achieve. More able to build. More able to progress.

That is the shift from managerial capitalism’s efficiency-and-extraction logic to the value creation era’s enablement logic.

And if enough enterprises—and enough public institutions—adopt that stance, the next phase of capitalism may be not only more innovative and more productive, but more human: an economy of achievement rather than an economy of capture.

A final note

Parts 3 and 4 (for paid subscribers) provide the practical tools: the Enablement Index and the operating model for customer space. I’ll continue to develop those in future paid essays, along with real case applications and metrics that help organizations measure progress without sliding into bureaucracy.

For everyone: thank you for reading this series. If enablement capitalism is the name of the emerging era, the real work is to build it—carefully, ethically, and in a way that makes people stronger.

The principles of value creation are at the core of Enablement Capitalism. Our online course is here: https://thevaluecreators.mykajabi.com/value-creators

The Post-Managerial Era Of Capitalism (Cambridge University Press)

Venture Mode, the manifesto for Enablement Capitalism (and how to teach it), is available for pre-order on Amazon.

 
 
 

Primal Intelligence: How Entrepreneurs Create Value in Uncertainty with Angus Fletcher

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Listen to the episode here:

We’ve been taught that business success comes from logic, prediction, and data-driven strategy. But what happens when uncertainty makes all of that break down?

In this episode of The Value Creators Podcast, Hunter Hastings speaks with Angus Fletcher, author of Primal Intelligence, about why entrepreneurs don’t succeed by predicting the future — but by creating it.

Angus Fletcher is uniquely qualified to draw on both neuroscience and entrepreneurial theory, and to add perspective from a field he himself pioneered, story science. He runs a special research lab at Ohio State University called Project Narrative, and its insights have been applied in US Army Special Forces, NASA, Hollywood and Silicon Valley. Angus explains how the human brain is designed for uncertainty, not optimization, and why intuition, imagination, emotion, and judgment are not flaws that interfere with rationality, but essential decision-making systems for entrepreneurial action.

Key Insights

  • Why logic and prediction fail in conditions of true uncertainty
  • How primal intelligence helps entrepreneurs act when the future is unknowable
  • Why storytelling, not data, is the brain’s primary way of making sense of the world

If you want to rethink intelligence, leadership, and entrepreneurship for a world that can’t be predicted, this conversation offers a powerful new lens.

Resources:

➡️ Learn What They Didn’t Teach You In Business School: The Value Creators Online Business Course

Learn more about Angus Fletcher

Connect with Angus Fletcher on LinkedIn

Get the book “Primal Intelligence. You Are Smarter Than You Know”

Connect with Hunter Hastings on LinkedIn

Subscribe to The Value Creators on Substack

Knowledge Capsule

1. Intelligence has been misunderstood

  • Modern business education equates intelligence with logic, prediction, and optimization.
  • These tools work well in stable systems but fail under true uncertainty.
  • Entrepreneurship requires a different kind of intelligence altogether.

2. The human brain evolved for uncertainty

  • Human cognition evolved to act without full information or clear outcomes.
  • Emotions like anxiety and fear signal uncertainty, not incompetence.
  • Entrepreneurs succeed by acting despite not knowing what will happen.

3. Primal intelligence replaces prediction with creation

  • Entrepreneurs do not predict the future before acting.
  • Action itself generates the information needed to move forward.
  • Markets emerge through experimentation, not forecasting.

4. Intuition is a cognitive process

  • Intuition integrates emotion, memory, and lived experience.
  • It is not guessing, but fast experience-informed decision-making under uncertainty.
  • Entrepreneurs rely on intuition when data is incomplete or misleading.

5. Insight begins with noticing anomalies

  • Insight comes from observing something that does not fit expectations.
  • Entrepreneurs look for meaning behind unusual customer behavior.
  • Opportunity appears where others dismiss signals as noise.

6. Imagination enables strategic direction

  • Entrepreneurs imagine multiple possible futures, not one predicted outcome.
  • Strategy is the act of choosing among imagined possibilities.
  • Vision emerges from imagination, not from spreadsheets.

7. Judgment replaces optimization

  • Judgment is decision-making when no correct answer exists.
  • Entrepreneurs commit to action knowing outcomes cannot be guaranteed.
  • Every decision becomes a learning experiment.

8. Emotion is central to decision-making

  • Emotions guide both entrepreneurial action and customer behavior.
  • Angus doesn’t believe in the usual definitions of empathy – he calls it “mind-reading” – but does emphasize the mutual use of emotion with customers..
  • Ignoring emotion leads to poor strategic decisions.

9. Customers feel before they rationalize

  • Customers always sense unease before articulating a need.
  • Entrepreneurs identify opportunities by sensing this discomfort.
  • Value is created by resolving felt problems, not stated ones.

10. The brain thinks in stories

  • Neuroscience shows humans organize experience through narrative.
  • Stories help the brain make sense of uncertainty and change.
  • Entrepreneurs use story to align action and meaning.

11. Entrepreneurship differs from administration

  • Business administration focuses on control and efficiency.
  • Entrepreneurship embraces uncertainty and emergence.
  • Action precedes explanation in entrepreneurial systems.

12. Primal intelligence reshapes leadership

  • Leadership emerges dynamically based on context and capability.
  • Teams lead through shared judgment rather than hierarchy.
  • Resilience sustains belief when outcomes are unclear.

Episode #76. Bureaucracy vs. Entrepreneurship: How Bureaucratic Thinking Destroys Value Creation with Ryan Turnipseed

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In this episode of The Value Creators Podcast, Hunter Hastings speaks with Ryan Turnipseed about the greatest enemy of entrepreneurial value creation: bureaucracy. Value creation is a universal economic goal, so how and why have bureaucratic restraints emerged, and why are they so resistant to innovation? Drawing on the contrasting theories of James Burnham and Ludwig von Mises, Ryan explains how managerialism and bureaucratic systems suppress innovation, limit consumer sovereignty, and redirect businesses away from value creation toward rule-following and control.

From rebranding fiascos to government regulation, from MBAs to corporate conformity, this conversation unpacks why bureaucracy persists and how entrepreneurs can resist it. Ryan highlights examples of entrepreneurial leadership—such as Elon Musk’s overhaul of Twitter—that demonstrate how decisiveness and freedom can dismantle bureaucratic inertia.

Key insights include:

  • Why bureaucracy prioritizes rules and efficiency over profit and consumer value.
  • How Burnham and Mises offer different but complementary theories of bureaucracy’s rise.
  • Why entrepreneurs must assert autonomy and freedom to restore value creation in their businesses.

This is a must-listen for leaders who want to build adaptive, value-driven organizations in the 21st century.

Resources:

➡️ Learn What They Didn’t Teach You In Business School: The Value Creators Online Business Course

Subscribe to Ryan Turnipseed’s YouTube Channel

Connect with Hunter Hastings on LinkedIn

Subscribe to The Value Creators on Substack

Morning Star: Pioneering Zero-Bureaucracy Organization

Is Managerialism Inevitable? Two Explanations For Cracker Barrel’s Attempted Rebrand – Ryan Turnipseed on Substack

Knowledge Capsule

1. Bureaucracy as the Enemy of Entrepreneurship

  • Bureaucracy seeks control over uncertainty, suppressing novelty and progress by enforcing rules instead of enabling innovation.
  • It is the opposite of entrepreneurship, which thrives on uncertainty and creativity.
  • Businesses consumed by bureaucracy lose their focus on customers and value.

2. Two Theories of Bureaucracy

  • James Burnham’s managerialism: bureaucracy arises from the rise of a managerial class.
  • Ludwig von Mises’ economic theory: bureaucracy emerges when profit-seeking is replaced by rule-following.
  • Both point to systemic barriers against entrepreneurial action.

3. Managerialism and Its Influence

  • Managers prioritize efficiency, coordination, and standardization over value creation.
  • The managerial class develops its own interests distinct from entrepreneurs and consumers.
  • Governments often align with managerialism to promote control.

4. Education and the MBA Problem

  • Business schools perpetuate bureaucracy by teaching uniform formulas of management.
  • MBA culture emphasizes administration over entrepreneurial creativity.
  • Even non-MBAs adopt bureaucratic thinking as a default philosophy of business.

5. Mises’ Economic Lens on Bureaucracy

  • Mises observed that, in free markets, entrepreneurs serve sovereign consumers: the consumer is the boss.
  • Bureaucracy emerges when internal rules of management replace consumer preference as the guiding principle.
  • Regulation and protection from competition further erode entrepreneurial discipline. Bureaucracies impede free markets.

6. Managers as “Junior Partners”

  • For Mises, managers should act as extensions of the entrepreneur, making localized decisions under uncertainty.
  • Under free-market conditions, poor managers can be replaced quickly.
  • But bureaucratic regulations prevent efficient hiring and firing, weakening accountability and undermining the focus on profit.

7. How Bureaucracy Enables “Woke Corporations”

  • When freed from profit accountability, managers pursue social causes over consumer value.
  • Regulations and hiring constraints insulate managers from consequences.
  • This leads to organizations detached from their customer base.

8. Profit vs. Rules

  • Entrepreneurship relies on profit as a signal of value creation.
  • Bureaucracy replaces profit with adherence to arbitrary rules.
  • This shift reduces value delivered to consumers and slows innovation.

9. Removing Bureaucratic Barriers

  • Firms should focus on removing internal obstacles that hinder speed and creativity.
  • Freedom, flow, and autonomy increase entrepreneurial effectiveness.
  • Entrepreneurial leaders like Musk demonstrate the power of barrier removal.

10. Real-World Case: Twitter/X

  • Musk’s acquisition of Twitter revealed the costs of bureaucratic bloat.
  • By firing redundant staff and refocusing on consumer value, he restored entrepreneurial direction.
  • This case exemplifies how entrepreneurial assertiveness dismantles bureaucracy.

11. Self-Organization as an Alternative

  • Autonomous teams and peer agreements can replace traditional management layers.
  • Firms like Morning Star demonstrate models of non-bureaucratic coordination.
  • Value-based internal rules ensure alignment with consumer needs.

12. The Future: Curtailing Bureaucracy

  • Bureaucracy is not inevitable—it’s a historical artifact of the 19th and 20th centuries.
  • Entrepreneurs must reassert leadership and embrace freedom over rules.
  • The path forward lies in adaptive, decentralized, value-driven organizations.

Episode #73. Systems, Value & Action: Organizational Design with Mike Jones

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This episode has been reposted from Strategy Meets Reality Podcast.

How do organizations create meaningful value in a world that’s complex, nonlinear, and constantly changing?

In this episode of The Value Creators Podcast, Hunter Hastings talks with Mike Jones — consultant, organizational psychologist, and host of Strategy Meets Reality — about systems thinking, value creation, and practical implementation. Mike explains why older, linear management models let people down in adaptive environments, how leaders should think about value exchange and asset stewardship, and why action and learning matter more than perfect forecasting.

Key insights include:

  • Why systems thinking is essential for organizations operating in a complex, adaptive world.
  • How value is discovered through exchange and experience—not merely engineered inside firms.
  • Why action, not endless planning, generates the information leaders need to adapt and create value.

This episode is for founders and leaders who want frameworks that actually work in messy, real-world organizations.

Resources:

➡️ Learn What They Didn’t Teach You In Business School: The Value Creators Online Business Course

Learn more about Strategy Meets Reality Podcast

Connect with Hunter Hastings on LinkedIn

Subscribe to The Value Creators on Substack

Knowledge Capsule

1. Systems Thinking Is the Right Mental Model

  • Organizations are adaptive systems (not machines).
  • Systems change in response to internal and external signals.
  • Leaders must design for adaptation, not for control.

2. Old Management Models Are Becoming Obsolete

  • 19th/20th-century function-based organizations are designed for continuity and assume predictability.
  • Those models prioritize control, measurement and efficiency in a stable environment.
  • In dynamic markets, those assumptions are wrong – they cause mismatch and brittleness.

3. Value Is Discovered, Not Merely Produced

  • Value emerges through exchanges and customer experience relative to customer expectations and aspirations.
  • Producers can’t unilaterally declare value—customers reveal it through choices.
  • Pricing is downstream of the value exchange; customer response validates value.

4. Value Exchange and the Customer Experience

  • The value exchange is followed by a value experience that determines repeat behavior.
  • Consistently meeting expectations in experience is central to retention and referrals.
  • Design and operations must orchestrate both the exchange and the subsequent experience – even those parts of it that are invisible to the producer..

5. Asset Stewardship Matters for Sustained Value

  • Creating less value means that assets have depreciated.
  • Neglecting infrastructure or capabilities reduces the customer experience.
  • Investment in assets is an investment in future value creation.

6. Teams Need Clarity, Roles and Autonomy

  • Clear role definition and trust among team members enable fast, coordinated action.
  • Self-organizing teams reduce the friction of top-down control.
  • Empowered teams adapt quicker to changing conditions.

7. Action Over Endless Analysis

  • Action creates evidence: you learn by doing, not by over-modeling.
  • Speed of iteration produces information to update beliefs and strategy.
  • Execution (tested action) beats perfect plans in uncertain contexts.

8. Failure Is Informational, Not Just Negative

  • Small experiments reveal what customers do and don’t value.
  • Failure is a feedback and learning mechanism that refines hypotheses.
  • Low-cost tests reduce downside while increasing learning velocity.

9. Leadership Is About Intent and Moral Commitment

  • Values and intent shape how organizations interpret signals.
  • Leaders’ moral framing (why they create value) affects long-run choices.
  • Purpose-aligned decisions sustain culture through ambiguity.

10. Institutions & Policy Create the Operating Environment

  • Policy layers and management rules can add friction and cost.
  • Policy chaos raises the cost and risk of investment.
  • Entrepreneurs must design-in resilience given institutional uncertainty.

11. Capital Allocation Requires Courage and Judgment

  • Capital must be deployed without perfect knowledge; courage is a factor.
  • Investors and entrepreneurs balance risk, timing, and learning horizons.
  • Resource commitment is necessary for the discovery process.

12. Organizations Must Design for Continuous Adaptation

  • Systems of review (after-action learning) are essential for improvement.
  • Simplicity of communication and clarity of purpose reduce internal noise.
  • The work of leaders is to enable learning at scale and speed, not to try to eliminate uncertainty.

All future jobs will be value creation jobs.

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The management revolution (a term coined by the primary historian of 20th-century management, Alfred D. Chandler) generated a lot of bureaucracy or, as London School of Economics professor David Graeber puts it, “Bullshit Jobs.” These jobs tend to be located primarily in the bureaucratic cores of the corporation: HR, finance and accounting, and legal/compliance. According to Graeber, these jobs are unfulfilling for the individuals doing them, yet deliberately designed that way by management to implement approved methods and procedures.. Those jobs are not there to create value, but to exercise control.

Graeber estimates that, in some firms, like banks, the proportion of jobs that can be classified this way is as high as 75%, and that 40% is a reasonable estimate of the average proportion.

There’s a good chance these jobs will be gradually eliminated in the future.

The problem of bureaucracy arose directly from the practice of management. In the early phases of corporate capitalism, firms were entrepreneurial rather than bureaucratic. Founding entrepreneurs drove expansion through leadership. Divisions and functions were run by mini-entrepreneurs, responding to market signals more than to bosses. Of course, they needed bookkeeping and support systems, but these were operational rather than bureaucratic.

Eventually, scale and new complexity required new forms of organization. More managers were hired. Eventually, managers took over, as the entrepreneurs exited. The 20th century was the century of management – but, as economist Ludwig von Mises pointed out, the capitalist system, properly understood, is an entrepreneurial system, not a managerial system. So capitalism itself – the system of creating value for customers and reaping the entrepreneurial rewards conferred by market approval – became distorted to shift the balance of outcomes to favor the managers and investors.

That’s where bureaucracy and bullshit jobs came in. Managers sought control: over the uncertainties and unpredictable outcomes that are typical of entrepreneurship; over the variability in consumer preferences; and over the short-term financial results of the business, because the financial markets’ demand for reliable consistency became predominant. Control was thought to come from processes, procedures and methods, documented in the bureaucracy and implemented through the authority of the hierarchy, limiting individual autonomy to adherence to tightly written job descriptions and rules of conducting business. Plans were developed at the top and executed through orders and instructions at the base of the pyramid. This philosophy was enshrined as business administration, and masters’ degrees were awarded for it.

This phase of business is coming to a close. There are many reasons why, and we can focus on two of them.

  1. New value creation business models: the digital business models of the new era are characterized by direct connection to customers. Every time a user enters a search term, or a consumer purchases on a shopping site, or a corporate employee works on Slack or Salesforce, the behavior and the content are directly and immediately captured by the data engine. Insights about actions and preferences can be generated through pattern recognition in the feedback loop, and any improvement or enhancement that the end user requires can be provided as a digital response. It’s user-guided continuous improvement. The customer is back in direct charge. When we say that customers are the ultimate value creators, this is what we mean. By their actions and statements of preference, they bring new improvements and, therefore, new value propositions into being. If they are dissatisfied, they communicate it, and perhaps look elsewhere for greater value. The customer is genuinely the boss. There’s no need for business administration – it’s superseded by direct connection to the customer without intermediation.
  2. The bullshit jobs can be automated: The advances in software headlined by business process automation and supplemented by machine learning and AI will gradually eliminate bureaucracy. Standard practices, sequential processes, form-filling, performance measurement, reporting, monitoring, authorization, accounting, budget management, and more will be performed by software rather than by managers.

So what does that leave? The most important jobs of all: value creation. Highly automated, digitally-enabled firms will require the customer insight, entrepreneurial judgment, design creativity, and empathic responsiveness that value creators bring. Value creators bring the characteristics and behaviors that are critical to business success.

  • They constantly keep value in mind: how can customers’ needs be better satisfied in a world of constant change and aggressive competition?
  • They demonstrate the entrepreneurial mindset, favoring action and experimentation rather than cautious calculation.
  • They recognize empathy as a core business tool for creative entrepreneurship, and they refine their empathic diagnosis by carefully assessing the customer experience from the customer’s perspective.
  • They collaborate harmoniously without competing for titles or recognition; they make great team members.
  • They pursue continuous innovation, never stopping, never complacent.
  • They can design innovations through a process of working backwards from the customer experience.
  • They understand marketing as building trust through relationships, and not as a mechanical process of lead generation and conversion.
  • They are masters of subjective calculation: estimating the value of future assets based on future customer satisfaction.
  • They appreciate that tacit knowledge accumulation rather than data is the source of advantage for a firm, and they error-correct their knowledge by constantly questioning and challenging.
  • They are not constrained by conventional organizational design and structure, recognizing flow as the mindset that transcends both.

The Value Creators online business course aims to elucidate and teach these principles through the lens of entrepreneurialism rather than business administration.

The Value Creators Podcast Episode #29. Raushan Gross on Entrepreneurial Value Creation in the AI Economy

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Professor Raushan Gross, who teaches Business Management And Leadership at Pfeiffer University, has focused his most recent research on the impact and influence of A.I. on entrepreneurship. He published some of this research in a series of articles at mises.org. One of them links A.I. to The Wealth Of Nations, and, of course, the wealth of nations is driven by entrepreneurship. From this vantage point, Professor Gross identifies the multifaceted impact of AI on society, economics, and business strategies, advocating for a paradigm shift in management thinking to adapt to technological advancements.

Resources:

The Fate or Wealth of Nations: AI, Robotics and Automation

Will AI Learn to Become a Better Entrepreneur than You?

Prices, Food, Employment: AI and Robotics Are for Regular Folks, Not Just the Elite

Would You Hire an AI-powered McRobot or a Human Employee?

Artificial Intelligence Enhances Consumer Sovereignty

Artificial Intelligence Can Serve Entrepreneurs and Markets

The Fear of Mass Unemployment Due to Artificial Intelligence and Robotics Is Unfounded

Show Notes:

0:00 | Intro
2:27 | Exploring AI’s Impact on Entrepreneurship
7:18 | Can AI Surpass Human Entrepreneurship?
8:48 | Exploring AI as a Service and AI Stacking
12:08 | AI as a Team Member in Entrepreneurship
15:10 | Small and Medium Businesses Can Embrace AI for Strategic Advantage
17:13 | Transition to Autonomous Decision-Making with AI
21:13 | Concerns on AI Centralization and Oligopoly
25:15 | Adam Smith: Global Scale AI is the Wealth of Nations
26:40 | Elon Musk on Value Creation: the Value Meter
29:14 | Does AI Redefine Management by Value Metrics?
32:14 | Wrap-Up: Rethinking Management in the Digital Age

Knowledge capsule

AI changes how individuals and entrepreneurial firms interact with the market.

  • We can’t be sure of the form the interaction will take.
  • But we know that we are using AI in every market transaction
  • While some individuals have doomsday visions of AI, entrepreneurs ask, “How can I use this to improve my business and how I serve customers?”

Human ingenuity will always be a critical and irreplaceable part of entrepreneurship.

  • AI is an active tool for entrepreneurs.
  • It will be a competitive factor in servingand delighting customers.
  • It’s a service to entrepreneurs to help them succeed.

Entrepreneurs can assemble and combine bundles or stacks of AI services into complete business models.

  • Austrian economics explains how entrepreneurial business consists of combining and recombining value-facilitating assets.
  • This is precisely how entrepreneurs utilize AI.
  • There’s no need to own the assets, just to control them and their value direction, and this is the business service that today’s AI tools offer.

AI can be a team member in value creation teams recruited by entrepreneurs.

  • Most productive work is done in teams.
  • AI can be a team member, bringing new knowledge, querying and challenging existing knowledge, and helping to advance knowledge-building at speed.
  • AI can also automate a lot of implementation processes, freeing entrepreneurs to focus on creativity and innovation.

AI will also play a role in technological deflation.

  • While governmental monetary and fiscal policy creates inflation, the role of the entrepreneur and technology is deflationary: making production faster and lower cost with improved quality.
  • AI will contribute by lowering the costs of doing business.
  • Entrepreneurs will be more empowered and the general level of well-being will rise.

Any risks lie in the danger of centralization of AI.

  • Will governments centralize AI under their singular control?
  • WIll the massive investments required in building AI server farms and databases and LLM’s result in a few corporations controlling AI for the whole economy?
  • It’s more likely that entrepreneurs will be able to build their own models using base LLM as a platform.

One of Elon Musk’s innovations points to AI as a “value meter”.

  • Algorithmic management at Tesla includes the ability of AI to assess the real time value creation product resulting from a team’s work with the resources at its disposal.
  • The AI can simultaneously scan all the other value creation opportunities available at the same time and reallocate teams and resources to higher value uses.
  • In this way, AI acts as a “value meter” for the productive activities of a work force and factory.

Global Competition in AI:

  • There will be a global race for AI dominance among nations.
  • Those nations that are most  energetic and innovative will shape the future landscape of AI development.