Human beings are complicated creatures, but we are also relentless forecasters. We spend much of our lives trying to infer the future from the past. Investors scrutinize market data to anticipate tomorrow’s returns. Meteorologists analyze yesterday’s weather to predict next week’s storms. And most of us, at some point, wonder where our own lives are headed.
There is a reason for this impulse. A future that is completely predetermined would make life dull. But a future that is entirely random would make life impossible. After all, randomness means that past events provide no information whatsoever about what will happen next. If that were truly the case, planning would be pointless. Every decision would be a coin toss. Fortunately, most aspects of life sit somewhere between these extremes. They are neither perfectly predictable nor completely chaotic. Patterns exist. Trends repeat. Signals can be detected, albeit imperfectly.
One of the domains where people most want predictive clarity is their career. Almost everyone, at some point, asks a version of the same question: If I choose this path rather than that one, what will it do to my future success? Should you study engineering or law? Join a startup or a large corporation? Pursue management or technical expertise? Move abroad or stay where you are? Even people facing difficult circumstances usually retain some degree of choice. Because of that, we naturally try to make decisions that maximize our future opportunities.
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But how predictable is career success, really?
The answer depends first on how we define success.
Defining success
There are objective indicators, such as income, occupational status, prestige, influence, and demand for one’s expertise. These are imperfect but observable signals. Some jobs, after all, are widely perceived as more prestigious or lucrative than others. It is difficult to argue that hedge-fund managers and neurosurgeons are not, on average, more highly compensated than baristas or retail clerks (though, on the other hand, it is questionable that nurses, teachers, and in many countries doctors earn surprisingly little compared to other, less meaningful professions).
There are also subjective indicators, such as job satisfaction, purpose, or fulfillment. Interestingly, these are often more predictable than the objective ones. Research consistently shows that how satisfied people feel with their work depends heavily on personality traits such as emotional stability, optimism, and intrinsic motivation. Two people with identical careers may evaluate their success very differently.
Still, when people ask “How much am I worth?” they are usually referring to something simpler: earning potential.
Income is a noisy and imperfect proxy for career success. It reflects many things besides talent: luck, timing, geography, and structural inequality. Yet it remains the most visible and measurable indicator of how the labor market values someone’s skills. So, what determines it?
Five key metrics
A useful way to think about earning potential is through five forces that shape career outcomes.
The first is market opportunity or where you are: the economic context in which you operate. Geography, industry growth, labor market demand, and economic cycles all influence what certain skills are worth.
For example, it matters whether you are born in Sweden or the DRC, and even when you are born in Sweden, one of the most egalitarian and meritocratic countries on earth, it still matters who your parents are and who they were born to. To be sure, you can decide (and be lucky enough to manage) to upgrade to a better country or more favorable economic environment, which is what fewer than 4% of people in the world do, usually with good results despite obstacles migrants face.
The second is intellectual capital, or what you know. Education, technical expertise, credentials, and accumulated experience all shape how valuable your capabilities are in the marketplace, even in an age in which AI significantly disrupts or commoditizes credentials.
The third is psychological capital, or who you are. Traits such as intelligence, curiosity, ambition, resilience, and emotional intelligence influence how quickly people learn, adapt, and advance, as well as how they approach their job searches.
The fourth is social capital, or who you know. Professional networks (“contacts mean contracts), mentors, sponsors, and reputation often determine which opportunities actually become available. In theory, modern societies aspire to meritocracy, where what you know and who you are should matter more than whom you happen to know. In practice, however, most of us can think of at least a few individuals whose careers seem powered less by merit than by an unusually well-connected address book.
Finally, there are what we might call background advantages, that is, contextual factors that shape early access to opportunity, such as educational environments, family resources, and exposure to influential networks (even when in a fair and meritocratic world, they shouldn’t).
Taken together, these five forces help explain why two people with similar degrees and job titles can end up with very different careers. Once you frame career outcomes this way, it becomes possible (at least roughly) to translate them into a simple calculation. Think of it as a very imperfect algorithm for estimating earning potential. Start with the market value of the job you are qualified to do (there will be many, but pick one or two that seem like an obvious good fit), and then adjust that baseline according to the five drivers above.
Here is what that looks like in practice.
A simple career earnings checklist
Step 1: Start with a baseline salary
First estimate the typical salary for the job you are realistically qualified for in your location and industry (there are many free online tools for this). Think of this as the market value of your role before personal factors come into play.
This baseline should reflect someone with your approximate level of experience, credentials, and seniority.
Example
A management consultant in Dallas with about 15 years of experience and strong credentials might have a baseline salary of roughly $200,000.
Step 2: Adjust the baseline using five drivers
Several factors can push your earnings above or below that baseline. Each one can typically increase or decrease your salary by roughly 1% to 30%.
Market opportunity (−20% to +30%)
This reflects how favorable the environment is. Some industries, countries, and economic periods simply pay more than others. High-growth sectors, booming economies, and scarce skills tend to push salaries up. Declining industries or weak labor markets tend to push them down: Example adjustment: +10%
Intellectual capital (−10% to +25%)
This is what you know. Education, specialized skills, and experience all matter. Rare expertise, strong credentials, and a proven track record tend to increase earnings. Commodity skills or outdated training tend to reduce them: Example adjustment: +15%
Psychological capital (−15% to +30%)
This is who you are. Traits like intelligence, motivation, curiosity, emotional intelligence, and resilience strongly influence how fast people progress in their careers. Highly driven and adaptable individuals tend to create more opportunities for themselves over time: Example adjustment: +20%
Social capital (−20% to +25%)
This reflects who you know. Professional networks, mentors, sponsors, and reputation often influence hiring, promotion, and access to opportunities. Strong relationships can significantly accelerate careers: Example adjustment: +10%
Background advantages (−20% to +20%)
Finally, careers are also shaped by contextual factors that are partly outside individual control. Early educational opportunities, family resources, access to influential networks, mentors, and even subtle perceptions of credibility can all influence how opportunities unfold. These factors do not determine success on their own, but they can expand (or limit) the range of options people encounter: Example adjustment: −5%
Step 3: Estimate your adjusted earning potential
Add the adjustments together and apply them to your baseline salary.
Example: Baseline salary (15 years experience): $200,000
Adjustments
Market opportunity: +10%
Intellectual capital: +15%
Psychological capital: +20%
Social capital: +10%
Background advantages: −5%
Total adjustment: +50%
Estimated earning potential:
$200,000 × 1.50 = $300,000
Note: if you wanted to use any of the genAI platforms to calculate this for you, you can just use this very simple prompt (and either provide the benchmark salary or ask it to search for it with sources): “Estimate my earning potential using the following formula: baseline salary × (1 + M + I + P + S + B), where M = market opportunity, I = intellectual capital, P = psychological capital, S = social capital, and B = background advantages. First estimate the typical salary for someone with my job, experience, and location, then apply reasonable adjustments (between −0.20 and +0.30) for each factor and show the final calculation.”
Not predictable, not random
In short, the logic behind the framework is simple. Your earning potential depends on five forces: where you are, what you know, who you are, who you know, and the opportunities you started with. None of these factors determines your income alone. But together they help explain why two people with similar degrees, experience, and job titles can end up with very different career outcomes.
Of course, any formula like this is only an approximation. Careers are significantly influenced by randomness, unexpected opportunities, economic shocks, and personal choices and circumstances that no model can fully capture.
But the exercise is still useful. Thinking about career outcomes through these lenses—opportunity, human capital, social capital, and psychological capital—forces us to confront the main drivers of employability and earning potential. It also highlights where individuals actually have agency.
You may not control the country you were born in or the macroeconomic cycle you graduate into. But you can influence your skills, your network, your mindset, and the environments you choose to operate in. In other words, your future earnings are not entirely predictable. But they are also not entirely random. And in a world where we must constantly make decisions about our careers, that middle ground is exactly where rational planning becomes possible.
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