Elon Musk
Forbes rank #1- Net worth
- $856.9B
- Age
- 55
- Country
- United States
- Industry
- Automotive & Space
- Wealth type
- Founder
- Background
- STEM
Documented facts
Verifiable against the sources belowWealth and source
Tesla and SpaceX equity
- Self-made status
- self-made
- Figure as of
- 22 August 2026
Education
University of Pretoria
Left without completing · 1989
Queen's University
Left without completing · 1992
University of Pennsylvania
Physics and Economics
BA / BS · Completed · 1995
Stanford University
Materials Science
PhD programme (materials science) · Left without completing · 1995
Career
- 1995–1999Co-founded Zip2; sold to Compaq.
- 1999–2002Founded X.com, which became PayPal; sold to eBay.
- 2002Founded SpaceX.
- 2004Led Tesla's Series A and joined as chairman; later CEO.
- 2022Acquired Twitter, later renamed X.
- 2023Founded xAI.
Interpretation
Our reading of public evidence — not private psychological factSkill stack
A categorisation of a documented career, not a measured assessment. Hover any skill for its definition.
Work philosophy
Publicly described sleeping at the Fremont factory during the Model 3 production ramp and working extreme hours; has said in interviews that the schedule was damaging. Cited here as documented behaviour, not as a recommendation.
Mental models
First principles
Has repeatedly described costing a product by its raw material inputs rather than by what comparable products sell for — the reasoning he gives publicly for battery-pack and rocket cost targets.
Long-term thinking
States multi-decade missions (sustainable transport, Mars settlement) as the operating rationale for near-term capital spending and losses.
Systems thinking
Vertical integration at both Tesla and SpaceX — bringing batteries, seats, avionics and launch operations in-house rather than buying them — is publicly argued as controlling the whole system rather than optimising a part.
Economies of scale
Reusable boosters and gigafactory scale are both publicly justified as driving cost per unit (per kilogram to orbit, per kWh) down through volume.
Each model is listed only where a specific piece of public evidence supports it. The evidence line is what you should judge — the label is just an index into it.
Public business philosophy
Engineering-led product development, aggressive vertical integration, and mission framing used to justify long payback periods. Publicly argues that the hardest constraint is usually manufacturing, not design.
Public ideology
Vocal on free-speech absolutism, government spending, and population decline; has moved into direct political engagement in the United States. Positions have shifted materially over time, so this field ages quickly.
Sources
Grouped by the field each source supports.
net worth · rank
net worth · age · source of wealth
education · career timeline · country
Expensive mistakes
Documented failures, kept to the same standard as everything else: what happened is cited, what it teaches is labelled as our reading.
Over-automating the Model 3 line
2018What happened
Tesla built a heavily robotic assembly line for the Model 3, including a complex conveyor network. Robots handled flexible parts — trim, hoses — badly, and the line became the bottleneck. Tesla tore it out and put people back on those stations.
Months of 'production hell'; a near-existential cash crunch
Our reading
First-principles reasoning has a failure mode, and this is it: the argument that a task *should* be automatable is not evidence that it can be, at cost, now. The reversal is the notable behaviour — he named the error publicly, attributed it to himself, and ripped out the capital already spent rather than defending it.
Full context and sources on the mistakes page.
Most similar in this dataset
Ranked by shared wealth type and industry, then by overlap in skills and mental models.
$260.0B · Technology
Both founders; shared models: first principles, long-term thinking, systems thinking
$281.9B · Technology
Both founders; shared models: first principles, long-term thinking, systems thinking
$185.5B · Semiconductors
Both founders; shared models: first principles, long-term thinking, systems thinking
Similarity is computed from the fields in this dataset only. Two people can share every field here and have had completely different starting conditions.