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

Listen to the episode here:

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

Listen to the episode here:

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.

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

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.

Why Study Economics?

Economics is the science of human thriving. It is the study of human choices and the motivations behind them. If we can understand those simple things, we can understand every transaction between humans as consumers and humans as producers, and roll that micro understanding up into the more macro understanding of firms and economies, and how they function, succeed and grow.

Thriving is what we all want. We can define it as continuously increasing our feelings of well-being. And that’s the first indicator of the value of economics. The output of any economy, of every firm and of every exchange and every transaction is more well-being – the feeling of being better off. Yes, a feeling. Economics is not measured in numbers like GDP or firms’ revenues or profits. It’s assessed by the satisfaction of individuals as to whether things are getting better or not. A growing economy is one with improving feelings of well-being. The nearest thing to a metric for this feeling of well-being is the University of Michigan Consumer Sentiment Index.

When the index is high, it’s associated with increasing stock market valuations, economic growth and prosperity. When it’s low, it’s associated with recessions. There’s no need to search for cause-and-effect, because it’s not there. The sentiment is emergent from the system.

A successful firm is one whose customers feel increasing well-being – more satisfaction, more confidence, more trust, more relatability. A strong balance sheet is one with assets that will facilitate such satisfactions and feelings of well-being many years into the future. A strong P&L is one that shows that customers are generating the cash flows that result from their willingness to pay for those satisfactions at the price the business chooses to set and results in profit.

How does economics teach us to increase well-being? Development economics as its called – the study and theory of how economic growth is generated – is a highly underdeveloped field. It has no answers because it’s looking for those cause-and-effect conclusions that just can’t be found. It’s better to look at system effects: what is the system most associated with increased well-being? It’s free market capitalism.

More entrepreneurship.

Entrepreneurship is the function that drives growth in the free market system of capitalism that brings prosperity. Entrepreneurship is misunderstood by most economists and all policymakers. Entrepreneurship is the economic function that creates new value, and value is what we all seek. Value is the feeling of being better off after experiencing a good or service that’s been prepared for us or sold to us. It’s the feeling of betterment – better off today, and better off tomorrow because of all the great offerings entrepreneurship brings to us. Entrepreneurship is what drives capitalism. It can take place in a startup or in a giant corporation, so long as the intent is to improve customers’ lives. It is highly restricted in an economy where government regulation strangles innovative opportunity, or where government directs investment funds to one industry rather than another – for the simple reason that entrepreneurship is experimentation to find out what customers prefer, and regulation often doesn’t permit experimentation. What drives growth? Those of us who are not entrepreneurs don’t know – we leave it to entrepreneurship to run the crazy experiments that will help the rest of us to find out.

Production before consumption.

The conventional wisdom of economic pundits and government planners is the opposite of the entrepreneurial view. They believe that consumption – what they sometimes call aggregate demand – is the driving force of the economy. If the economy, as they measure it, slows down or stalls, their answer is to put more spending power in the hands of consumers so that they buy more products and services. They believe that demand brings production into being. Without demand, there’d be no production. The opposite is the true case. Entrepreneurs reveal to consumers that there is more they can want – better goods and services, new technologically innovative products, faster deliveries and lower prices. By demonstrating the availability of more – by producing, that is – entrepreneurial businesses generate demand for their offerings. Demand does not bring businesses into existence; businesses bring demand into existence. Any and all restrictions on production should be lifted to bring productive growth to any economy anywhere in the world.

Less quantitative, more qualitative.

Economics is usually presented as a quantitative science. Economic “quants” focus us on numbers like GDP or economic growth rates or trade imbalances or debt levels. They want us to think of economics as a science on par with physics and mathematics. But it’s not. Economics is about well-being, and how humans increase well-being for themselves, their families, their firms and their communities. Well-being is subjective, a feeling on the part of individuals. It can’t be measured, enumerated, ranked or stacked or trended. Economics aims for a world in which we can consciously and deliberately raise and expand and extend well-being, without always trying to capture the improvement in numbers. Feeling better off is a qualitative phenomenon.

Less economic policy.

The word policy should never be conjoined with the word economics. Policy equates to politics, i.e. a biased, group-interest driven perspective on economic decision-making. Economics teaches us that markets can freely determine all allocation decisions, and all selections between what individuals and groups prefer, favoring new and better and jettisoning what’s out-of-date and inferior. Politicians may not always like market choices, and may therefore introduce policy that contradicts the markets, but this always leads to less total well-being. And since there is no possibility of isolating cause and effect in a complex economic system subject to an incalculable number of influences, interactions, constraints, and unanticipated feedback loops, policy never “works” – it can not lead to the outcomes it promises.

Students of economics will understand and appreciate these catalysts for well-being – that’s why economics is worth studying.

No businesses are “small”. They’re all productive nodes in a tightly connected knowledge-building value-creating network.

There are roughly 32 million businesses in the US, of which 99.9% are what the government calls “small”. This classification of business accounts for about half of GDP and of total employment (making it just as productive as “big business”), and usually more than half of new job creation (making it more dynamic than big business). It’s often where innovation first enters the market, since small business is more open to risk taking than big business. If we remove the Fortune 500 and the Russell 5000, we’ve still got 32 million, rounded up, so let’s think of them as a community.

Within the 32 million, there is a wide range of size, whether measured by revenue or number of employees. The government in the form of the SBA (Small Business Administration) uses a range of up to 500 employees and a revenue of $7 million per year. But they also relax this range in different classification categories; their “small” financial and insurance business range goes up to 1,500 employees and $38.5 million in revenues. Clearly, there’s no consistency or integrity in their definitions, and not much useful information.

A better way to look at these businesses is as an integrated network of productivity, information flow, knowledge-building, innovation and value creation. 

Productivity:

Dr. Samuel Gregg in his book The Next American Economy identifies the decline in the formation of new entrepreneurial businesses as responsible for the significant decline in American productivity. These businesses have an intensified motivation to be productive; it’s hard to get capital, so they need to make the most of what they’ve got and find agile ways to borrow, rent or originate capital. They can’t afford productivity-sapping bureaucracy. They find ways to accelerate cash flows. They adopt new technological innovations quickly so as to take advantage of productivity enhancements. Productivity is essential for them.

Knowledge-building:

Bartley J. Madden in his book Value Creation Principles, identifies knowledge-building proficiency as the fundamental driver of firm performance. In the integrated 32-million strong network of businesses we are analyzing, information flows faster and more freely as a result of more network nodes, more connections between nodes, and lack of barriers to learning such as bureaucracy. These businesses know they must learn at speed, apply their learning fast and use it to serve customers better. There’s no learning time to lose.

Dynamic Efficiency:

Efficiency is an economic concept that hasn’t been very helpful for business in general. It tends to mean doing less with less: cutting costs, saving on inputs, not risking innovation, not attempting experiments with uncertain outcomes. But economist Jesus Huerta de Soto developed the contrasting concept of dynamic efficiency: fast adaptation to changing customer preferences, and rapid creation and adoption of new market knowledge, with an economy of time and agile decision-making.  This is the entrepreneurial method, and the way that the 32 million competes effectively with larger, better resourced but less agile firms.

Pure value creation:

Businesses generate cash flow as a result of the valuable customer experiences they enable. The value that customers perceive turns into willingness to pay, resulting in cash flow that is the life blood of small businesses who have less access to credit and debt to fund their working capital needs. The 32 million are acutely sensitive to cash flow, and therefore to customer value. They remove all obstacles to customer value, including bureaucracy, complicated service arrangements that obscure value visibility and take time, and any other obstructions they can identify. These businesses know that they must pursue pure value creation.

Customer focus:

The disciplines of dynamic efficiency and pure value creation demand an intense customer focus. The 32 million choose their customers carefully, develop a deep knowledge of them and their needs, nurture empathy to get on the same wavelength with customers regarding those needs, and are constantly listening for feedback and adjusting to any new signals that come through the feedback channel. This intensity of customer focus sustains the innovation and elevated quality of service that, in turn, secures continuity and strengthening of business relationships. That’s why these businesses are the backbone of the economy.

Unentangled with government:

The greatest barrier to all business-driven economic growth, progress and innovation is government. Both taxation and regulation are business-killers by intent. Big business becomes entangled with government. They develop big bureaucracies to comply with regulation, keeping them close to government and saddling the 32 million with disproportionate compliance costs if they’re forced to match big-business compliance practices. And big businesses assemble lobbying forces and budgets to design, write and pay for government approval for regulations that protect them and over-burden others. It’s this entanglement with government that condemns big business to permanent inefficiency, and also results in the kind of government-directed surveillance scandals that are currently being uncovered.

The 32 million is in no way small. It’s the vital, leading edge group that brings innovation, growth, development and dynamism to the economy. Let’s find another term than “small business”.