A KPI proposed by Salary / Tokens
Token Capacity per Employee TCE
Companies measure revenue per employee, workforce costs and team utilization. These figures describe different aspects of an investment: what it costs and what capacity it funds.
- Revenue per employee
- Revenue ÷ average full-time-equivalent workforce.
- Average employment cost
- Personnel costs ÷ average workforce, using the same period and scope.
- Time utilization
- Billable or productive hours ÷ available hours, following each company’s definition.
Bechtle reports revenue per employee and Accenture reports utilization in their 2025 annual reports. Spain’s INE publishes labor costs and effective hours. Companies do not all publish the three indicators or use identical definitions.
The question we add
How many AI tokens could one employee’s annual employment cost fund, given a specific mix of providers, models and usage? TCE expresses that purchasing capacity in tokens per employee and period.
TCE = Σ (
each model’s budget ÷ cost per token)
The division is simple. Each token’s price depends on input and output, cache, storage, context, currency and current pricing. We allocate the money first, then calculate each model’s tokens.
See the full formula
TCE year = 10⁶ · S · (1 + e) · x ·
Σp ωp · Σm (νpm / cpm)
cpm = α [(1 − h − w) Ipm + h Rpm
+ w Wpm + w τ Apm] + (1 − α) Opm
- S, e, x
- Annual gross salary, overhead as a fraction (0 if employer costs are disabled), and conversion from the selected currency to USD. In USD, x = 1.
- ω, ν
- Budget fractions for each provider and its models. Each allocation sums to 1.
- α, h, w
- Input fraction; fractions of that input read from and written to cache. h + w ≤ 1.
- I, R, W, O
- USD per million standard input, cache-read, cache-write and output tokens. W uses the selected write duration.
- τ, A, c
- Storage hours, rate per million stored tokens per hour, and weighted cost per million. Rates account for context, date and peak/off-peak periods where applicable.
Monthly TCE = annual TCE ÷ 12. Without verified cache pricing, standard input is used: h = w = 0. Without a published storage charge, A = 0 in this estimate. If c = 0, the budget does not set a token limit.
How to read the KPI
Use it to compare AI budgets and model mixes. Assessing productivity requires measuring completed tasks, quality, time saved and supervision. Tokens from different models do not have equivalent quality.
Compare using the same cost scope, mix and assumptions. The INE percentage is an editable Spanish reference, including when entering dollars.