AI engineers regularly face a compensation choice between two very different offers: an AI startup with a high equity grant and lower cash, versus a big tech company (Google, Meta, Amazon, Microsoft, Apple) with high cash and significant RSUs. The math is harder than most candidates realize. Here's how to think about it without fooling yourself in either direction.
The Apparent Comparison
A typical comparison looks like this:
- AI startup offer: $250K base, $50K signing bonus, 0.3% equity over 4 years
- Big tech offer: $300K base, $100K signing bonus, $400K RSU over 4 years, $50K annual bonus target
The big tech offer looks higher on year 1 cash. The startup offer's value depends entirely on what 0.3% of the company is worth at exit. The honest answer is: nobody knows.
The Startup Equity Math
To evaluate startup equity, you need three numbers: current valuation, expected exit valuation, and dilution between now and exit. None of these are knowable with certainty, but you can build scenarios.
Current valuation
If the startup just raised at a $500M post-money valuation, your 0.3% is currently worth $1.5M on paper. This is not real money. It's an option to buy stock at a strike price set during the grant. The actual value depends on whether the company exits successfully and at what valuation.
Expected exit valuation
For AI startups in 2026, exit valuations span a huge range. Successful exits in the AI space have happened at $1B+ (large acquisitions, IPOs). Failures happen at $0 (acquihires, shutdowns). Most outcomes are in between. Your equity value at exit is your percentage times the valuation, minus dilution.
Dilution
Most startups raise additional funding rounds between when you join and when they exit. Each round dilutes existing equity. A typical AI startup at Series B might dilute employees 30-50% before exit. Your 0.3% might be 0.15-0.2% by the time the company exits.
The Math Across Scenarios
Scenario 1: Startup exits at $5B in 4 years (success case) After typical dilution to 0.15%, your equity is worth $7.5M before tax. Subtract strike price and taxes, net is roughly $5-6M.
Scenario 2: Startup exits at $1B in 4 years (modest success) After dilution, your 0.15% is worth $1.5M before tax. Net is roughly $1-1.2M.
Scenario 3: Startup exits at $200M in 4 years (small acquisition) After dilution, your 0.15% is worth $300K. After taxes and accounting for preferences (early investors get paid first), employees often receive much less. Net might be $100-200K.
Scenario 4: Startup fails or acquihires for less than total invested capital Employee equity is worth $0. This happens to a substantial fraction of startups, even well-funded ones.
The Big Tech RSU Math
RSUs are simpler to value. $400K of RSUs vesting over 4 years at $100K/year is real, predictable income. Stock price changes affect actual realized value, but the floor is the grant value at vest dates.
Big tech RSUs typically refresh annually. A new grant of $50-150K per year is common at performing employees. So total comp grows over time even without promotions. The RSU value is fairly bounded but it's real.
The Honest Comparison
For the offers above, total cash plus RSU compensation across 4 years:
- Startup (cash only): $1.05M ($250K × 4 years + $50K signing)
- Big tech (cash + RSU): $1.85M ($300K × 4 + $100K signing + $400K RSU + $200K bonus)
The big tech offer has $800K more cash and RSU value over 4 years. For the startup offer to win, the equity needs to be worth at least $800K net, which requires an exit at roughly $1B+ (after dilution and taxes).
Some startups will hit that exit. Many won't. The expected value calculation depends on probabilities you have to estimate yourself.
What Actually Drives the Decision
The math is one input. The other factors that matter:
Personal financial situation
Candidates with no savings, family obligations, or other financial pressures should weight cash heavily. The startup equity might be worth $5M in 5 years or $0 in 18 months. If the $0 outcome is catastrophic for you, take the cash.
Career trajectory
Working at a frontier AI startup that succeeds is one of the strongest career credentials in the industry. Working at Google AI is also a strong credential but more common. The career value of startup work depends on whether the startup actually does interesting work.
Work environment
Startups offer more autonomy, faster decision-making, and direct impact. Big tech offers more resources, larger teams, more structure, and better work-life balance. Neither is universally better. Match the environment to your preferences.
Risk tolerance
Some people thrive on startup uncertainty. Others lose sleep over it. Be honest about which one you are. A high-equity offer at a startup is the wrong choice if the uncertainty makes you miserable.
Stage of career
Early-career candidates can absorb startup risk because they have time to recover if it goes badly. Senior engineers with families and mortgages typically can't afford the same risk profile.
Negotiating Tips
- Ask for current 409A valuation at startups. This is the IRS-approved current stock price and tells you the strike price for new grants.
- Ask about preference stack. If preferences exceed $200M and the company exits at $300M, common stockholders (employees) get little. The preference stack determines whether employee equity is worth anything in moderate exits.
- Ask about acceleration on acquisition. Some startups offer single-trigger or double-trigger acceleration. This protects employees in acquisition scenarios.
- Ask about liquidity options. Some startups support secondary sales, allowing employees to sell some equity before exit. This reduces concentration risk.
- Negotiate cash and equity together. Don't accept low cash and weak equity. Push back on both.
The Honest Truth
Most startup equity is worth less than candidates expect at the time they accept the offer. The expected value math for early employee equity is brutal: most startups fail or exit at modest valuations where preferences eat employee returns. The exceptions are real and meaningful, but they're exceptions.
Big tech RSU compensation is less exciting but more reliable. For most candidates, especially those without other safety nets, the reliable comp wins on expected value once you account for the realistic distribution of startup outcomes.
That said, the upside cases are dramatic. Engineers who joined Anthropic, OpenAI, or other frontier AI companies in 2021-2022 with significant equity grants now hold equity worth millions. Those outcomes happen, just less often than the pitch decks suggest.
Make the decision with eyes open. Don't take the startup offer because the equity number sounds big. Don't take the big tech offer because the cash feels safe. Calculate, compare, and decide based on your specific situation.
For more on AI compensation, see our AI Engineer Compensation by Lab 2026 and Salary Negotiation Guide.