Which Skills Really Boost Your Career? Surprising Findings from US Labor Data

What Job Skills Are Most Valuable?

We partnered with Insight Data Science researcher Tee Ponsukcharoen to evaluate 35 skills across more than 600 U.S. jobs, scoring each skill on income, job satisfaction, automation risk, learning time, and applicability breadth.

Note: Our scoring method is rough and the numbers are normalized between 0 and 1. The raw data and full technical report are linked in the original source.

Key Findings

The highest‑value skill clusters are analysis and learning (judgment, critical thinking, complex problem solving, active learning), management (time management, performance monitoring, coordination), and social skills (active listening, communication, social cognition). These “leadership” skills score well on satisfaction, have low automation risk, and apply to a wide range of occupations.

In contrast, many STEM skills—especially programming, mathematics, and science—rank below average on all dimensions. They tend to be confined to niche technical roles, often have higher automation risk, and require longer learning periods for modest income gains.

Why STEM Skills Aren’t the Ideal Choice

Our analysis shows that jobs requiring STEM abilities do not guarantee higher salaries or satisfaction. For example, programming roles are limited in breadth, many have median salaries between $40k–$80k, and the average automation risk is around 30%.

Automation trends further diminish the relative value of STEM skills: research by David Deming and others indicates declining employment shares for many engineering jobs, while demand for social and analytical abilities is growing.

Evidence of Soft‑Skill Importance

Multiple studies (including labor‑economics research) find that non‑cognitive abilities—political knowledge, social capital, initiative, extroversion—are as predictive of earnings and career satisfaction as cognitive skills.

Programming Scores Explained

Programming scores are low because few occupations require it, the roles that do are not high‑pay, and the skill’s applicability breadth is limited. Even high‑earning positions (e.g., computer research scientists) are rare, and many technical jobs have modest satisfaction levels.

Should You Learn STEM?

STEM skills are still valuable for those who can invest the time to master them, especially in fields like AI, data science, and software engineering. However, pairing technical expertise with strong analytical, social, and managerial abilities yields the best career outcomes.

Practical Recommendations

Focus on developing leadership‑type skills: critical thinking, problem solving, communication, and time management.

If you pursue STEM, choose areas with high demand (e.g., AI, data analysis) and complement them with soft‑skill training.

Consider the learning‑time investment: skills that take longer to acquire should be weighed against their potential return.

Overall, the data suggest that a balanced skill set—technical knowledge plus strong analytical and interpersonal abilities—offers the greatest resilience against automation and the highest long‑term career value.