Dan J. Harkey

Master Educator | Business & Finance Consultant | Mentor

The Quality of Intelligence Intersects with Philosophy, Motivation, Psychology, and Economics.

by Dan J. Harkey

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Overview

Is intelligence a byproduct of effort to obtain education and work skillfully?  Highlighting effort and environment can help educators and policymakers feel valued and motivated to shape cognitive growth.

  • Effort and Cognitive Development: Research in cognitive psychology indicates that intellectual performance is highly plastic; it can be shaped by sustained effort, education, and exposure to complex tasks.  Skills such as reasoning, problem-solving, and adaptability often improve through deliberate practice and learning.
  • Economic System Influence: In the U.S., many forms of “functional intelligence” (e.g., analytical thinking, digital literacy, financial reasoning) are cultivated because they are rewarded in the labor market.  Economic incentives drive skill acquisition, which can manifest as measurable intelligence in applied contexts.

Is lack of intelligence a byproduct of failing to put forth effort?

  • Partially True, But Not Entirely:
    • Effort matters: Individuals who consistently avoid challenging cognitive tasks or educational opportunities often fail to develop higher-order skills.
    • But the environment matters too: access to quality education, early childhood development, nutrition, and socioeconomic stability strongly influence cognitive development.  Lack of effort is one factor, but systemic barriers can also limit opportunities.
  • Ordinary vs. Exceptional: “Ordinary” often reflects average exposure and effort, not inherent inability.  Intelligence is not fixed—it’s dynamic and context-dependent.

Key Insight

Understanding that intelligence is not solely innate but a dynamic combination of effort, environment, and opportunity underscores its malleability and keeps readers engaged with the concept.

Intelligence can be understood as a dynamic skill set of cognitive abilities that can be developed, refined, and applied.  Framing it this way aims to motivate stakeholders to invest in targeted skill-building programs and continuous learning.

1.  Core Components of Intelligence as Skills

  • Analytical Thinking: Breaking down complex problems into manageable parts.
  • Critical Reasoning: Evaluating evidence, identifying biases, and making logical decisions.
  • Adaptability: Learning new concepts quickly and applying them in unfamiliar contexts.
  • Problem-Solving: Generating solutions under constraints and uncertainty.
  • Communication: Translating ideas into clear language for collaboration and persuasion.
  • Metacognition: Awareness of one’s own thinking processes—planning, monitoring, and adjusting strategies.

2.  Why It’s a Skill Set

  • Trainable: These abilities improve with practice, education, and exposure to challenging tasks.
  • Contextual: Intelligence manifests differently in academic, technical, and social environments.
  • Applied: In the U.S. economic system, intelligence often means the ability to learn continuously, adapt to technology, and navigate complex systems—all skill-based.

3.  Effort vs. Outcome

Effort is the engine that builds these skills.  People who invest time in learning, problem-solving, and critical thinking tend to expand their cognitive toolkit.  Conversely, avoiding intellectual challenges can lead to stagnation—not because of innate limits, but because skills were never developed.

4.  Practical Implication

If we treat intelligence as a skill set:

  • Education becomes skill-building, not just knowledge transfer.
  • Economic success depends on lifelong learning and adaptability.
  • Policy focus shifts to creating environments that reward effort and provide equitable access to skill development.

Adaptability increases income by serving as a multiplier of employability and career mobility in a rapidly changing economy, encouraging individuals and employers to see growth potential.

Here’s why:

1.  Market Dynamics

  • Technology shifts (AI, automation, digital platforms) constantly reshape job requirements.
  • Workers who adapt—by learning new tools, processes, and roles—avoid obsolescence and remain competitive.

2.  Skill Expansion

Adaptability often means continuous learning:

  • Acquiring new certifications.
  • Embracing emerging technologies.
  • Pivoting to growth sectors (e.g., renewable energy, data analytics).  This broadens your skill portfolio, making you eligible for higher-paying roles.

3.  Employer Value

Employers prize adaptable employees because:

  • They reduce retraining costs.
  • They can fill multiple roles or lead transitions.  This often translates into promotions, bonuses, and leadership opportunities.

4.  Economic Evidence

Studies show that workers who engage in lifelong learning and upskilling earn significantly more over time.  For example:

  • College graduates who pursue additional certifications or technical skills can earn 15–25% wage premiums relative to peers who remain static.
  • Adaptability correlates with career resilience, thereby reducing the risk of unemployment during downturns.

5.  Real-World Example

When industries pivot—say, from fossil fuels to renewables—adaptable workers retrain for solar or wind tech roles, which often pay 30–50% more than legacy positions.

Why Adaptability Drives Income:

  • Continuous Learning: Workers who upskill regularly earn 15–25% more over time.
  • Career Resilience: Adaptable employees avoid obsolescence and thrive in tech-driven sectors.
  • Employer Value: Adaptability reduces retraining costs and increases promotion potential.

Adaptability-linked wage premiums (documented)

·       AI skills (cross‑industry): +28% salary premium on postings that require AI skills (≈ $18,000 higher per year), based on analysis of 1.3 billion job postings. 

  • Decision‑making/risk skills: up to +23% wage premium where employers explicitly demand strategic decision‑making and risk analysis skills (multi-industry posting study, 2022–2024).
  • Digitally intensive middle‑skill roles: +18% wage premium vs. non-digital middle‑skill jobs (e.g., spreadsheet/CRM/industry-specific software proficiency). 

Quotes

  • Continuous effort—not strength or intelligence—is the key to unlocking our potential.
    — Winston Churchill 
  • “Talent without effort is wasted talent.
    — Unknown (A common sentiment emphasizing the necessity of work to leverage natural ability).
  • “Hard work beats talent when talent doesn’t work hard.
    — Tim Notke (Basketball coach, highlighting that persistence can overcome inherent advantages).
  • “Intelligence is the effort to do the best you can at your particular job; the quality that gives dignity to that job, whether it happens to be scrubbing a floor or running a Corporation.
    — James C. Penney (Founder of J.C. Penney, defining intelligence itself in terms of diligent effort).
  • “Quality is never an accident; it is always the result of intelligent effort.
    — John Ruskin (Often attributed to him, linking intelligence to the application of effort in a thoughtful way to achieve quality outcomes).
  • “It takes something more than intelligence to act intelligently.
    — Fyodor Dostoyevsky (Suggesting that proper application of intellect requires an additional component, likely willpower or effort).
  • “Action is the objective measure of intelligence.
    — Napoleon Hill (Stressing that the practical outcome of knowledge is what truly matters). 

Interpretation:

These premiums are “adaptability” signals because they reward workers who can learn and apply new technologies and cross-functional skills—traits employers associate with faster transition into evolving tasks and roles.