An estimate for 1,125 researchers, assuming 25% of 4,500 employees are researchers. This values token usage at API prices; it does not estimate OpenAI’s internal costs.
1Assumptions
OpenAI reports daily token usage above $600 for the median researcher and above $7,000 at the 90th percentile, valued at API prices.[1] The Financial Times reported about 4,500 employees in March 2026, as relayed by Reuters.[2]
Assume 25% are researchers, and their daily usage follows a lognormal distribution. Treat $600 and $7,000 as exact quantiles for this calculation. Neither the 25% share nor the distribution is reported by OpenAI.
(1)
2Calculation
Let X be a researcher’s daily usage value, measured in USD. For a lognormal distribution:[3]
(2)
(3)
Here, Φ⁻¹ is the inverse standard normal cumulative distribution; Φ⁻¹(0.90) ≈ 1.281552.
The mean—not the median—is the quantity to multiply by headcount:
(4)
(5)
The estimate excludes non-researchers’ usage and training compute. It is an expected daily value under the assumptions, not a measured company total.
3Usage and concentration
Figure 1. Daily usage per researcher. The fitted curve passes through the assumed median ($600) and 90th percentile ($7,000). The mean is $3,768, or 6.28 times the median.Figure 2. Normal users and power users. Define power users as the top 10%. They account for 73.7% of daily value and average $27,789 each, versus $1,099 for the bottom 90%. These are two groups within the same distribution.Figure 3. Dependence on the upper tail. Bars show total daily value after capping each researcher’s usage. The σ callouts use cap = $600 × ekσ, where σ = 1.917001 is the standard deviation of ln(X) and k ranges from −4 to +4. Zero marks the $600 median. Only caps of $7,000 or more preserve both the median and P90; capped values are no longer lognormal.
Limits. The source says “exceeded,” not “equal to.” Its two thresholds do not establish the mean or the upper tail, so $4.24M is not a proven lower bound. The March headcount and later usage observations are from different dates. All three charts are calculations, not employee data.