# Enterprise AI Cost Statistics (2026)

Last updated: 2026-08-04 · Maintained by ibl.ai

## The Short Answer

**Enterprise AI assistants are sold at roughly $30 to $75 per user per month, but only one major vendor publishes a list price at all — Microsoft 365 Copilot at $30 per user per month. Priced instead at published API token rates, the same assistant workload costs about two cents per turn, so per-seat licensing only breaks even above roughly 1,540 turns per user per month.**

That gap is the central fact of AI budgeting in 2026. Per-seat pricing charges for headcount; usage-based and self-hosted pricing charges for work actually done.

Below, every figure is labeled by disclosure status: a vendor's own published price, a reported third-party range, or a calculation with its assumptions stated. No other pricing roundup separates the three, and the distinction is the whole argument.

## How much does enterprise AI cost per user per month?

Enterprise AI assistant pricing in 2026 runs from $30 to about $75 per user per month. The more useful finding is how little of it is public: of the four widely evaluated products below, exactly one publishes a price you can look up.

| Product | Price | Disclosure |
|---|---|---|
| Microsoft 365 Copilot | $30 / user / month | Published list price |
| ChatGPT Enterprise | $45–$75 / user / month (reported) | Not published |
| Glean | $50–$75 / user / month (reported) | Not published |
| Harvey (legal) | Estimates disagree | Not published |

- **Microsoft 365 Copilot** — enterprise add-on; requires an eligible base Microsoft 365 license, so the all-in per-user cost is higher. Source: microsoft.com.
- **ChatGPT Enterprise** — OpenAI lists no Enterprise sticker price; every contract is negotiated. Third-party buyer data clusters near $60 with a reported ~150-seat minimum. Source: openai.com (no list price).
- **Glean** — no public pricing page. Reported enterprise minimums start near 100 seats, with a Work AI add-on quoted separately. Source: glean.com (no list price).
- **Harvey (legal)** — third-party estimates span roughly an order of magnitude. We do not publish a number for it, because no citable one exists. Source: harvey.ai (no list price).

Ranges marked "Not published" come from third-party buyer-data aggregators, not the vendor. Treat them as estimates of negotiated contracts, and expect your own quote to differ by seat count and term.

## What does the same workload cost at published token prices?

Model APIs publish their rates openly, which makes them the honest baseline for what enterprise AI actually costs to run. These are Anthropic's first-party list prices per million tokens as of August 2026.

| Model | Input / MTok | Output / MTok |
|---|---|---|
| Claude Opus 5 | $5.00 | $25.00 |
| Claude Sonnet 5 | $3.00 | $15.00 |
| Claude Haiku 4.5 | $1.00 | $5.00 |

Source: Anthropic published pricing. Published list price. Other providers publish comparable per-token rates; the shape of the argument does not depend on which model you choose.

## At what usage level does per-seat AI pricing break even?

Per-seat AI pricing breaks even at roughly 1,540 assistant turns per user per month — about 70 every working day. Below that, the seat costs more than the work. This is an ibl.ai calculation; the assumptions are stated so you can re-run it with your own.

| Assumption | Value |
|---|---|
| Input tokens per assistant turn | 4,000 |
| Output tokens per assistant turn | 500 |
| Token rates (Claude Sonnet 5 list) | $3 / $15 per MTok |
| **Cost per turn** | **$0.0195** |
| **Turns/user/month to reach a $30 seat** | **~1,540** |

At a more typical 100 turns per user per month, the same workload costs about $1.95 per user — roughly one-fifteenth of a $30 seat. At 20 turns, it is under 40 cents.

Heavy users exist, and for them a seat can be good value. The problem is that a per-seat contract charges the same for the colleague who opens the tool twice a quarter.

## What does per-seat AI cost at 1,000, 10,000, and 50,000 users?

Per-seat AI cost scales linearly with headcount, independent of use. At the one published list price in this dataset — $30 per user per month — the annual bill looks like this before any usage overage.

| Seats | Annual cost at $30/user/month |
|---|---|
| 1,000 | $360,000 |
| 10,000 | $3,600,000 |
| 50,000 | $18,000,000 |

ibl.ai calculation from the published Microsoft 365 Copilot rate. Enrollment or headcount growth raises the figure automatically; adoption success raises it again if the contract meters usage on top.

Run your own numbers with the ibl.ai AI cost calculator: https://ibl.ai/ai-cost-calculator

## Do enterprise AI pilots actually deliver a return?

Mostly not, on the largest study available. MIT's Project NANDA report *The GenAI Divide: State of AI in Business* (2025) found that **95% of enterprise generative AI pilots produced no measurable P&L return**, against $30–40 billion in enterprise investment.

The study drew on 150 leader interviews, a 350-person employee survey, and an analysis of 300 public AI deployments. Its authors attribute the gap to integration and organizational learning, not model quality.

Source: MIT Project NANDA, *The GenAI Divide: State of AI in Business*, 2025. Widely reported; the underlying report is distributed by the research group rather than a journal.

The budgeting consequence is direct: a per-seat contract bills in full for the 95% case as well as the 5%.

## What does an owned, self-hosted AI platform cost instead?

An owned platform replaces the per-head license with a flat license plus the compute you already run, so cost stops tracking headcount. Syracuse University reported roughly **85% lower cost** than the per-seat SaaS alternatives it evaluated after deploying ibl.ai on its own Google Cloud environment.

The ibl.ai platform serves more than 1.6M users across 400+ organizations. It is model-agnostic, so the token rates above are an input you control rather than a vendor's margin, and the full source code and data stay on your infrastructure.

Source: ibl.ai customer-reported figure. See https://ibl.ai/case-studies and https://ibl.ai/full-code-license

## How should I cite these statistics?

Journalists, analysts, and researchers are welcome to quote this page. Cite the original vendor or study for any figure sourced above, and cite ibl.ai only for the calculations we performed — the per-turn cost, the break-even point, and the headcount table.

Suggested form: ibl.ai, "Enterprise AI Cost Statistics (2026)," ibl.ai/resources/ai-cost-statistics, updated August 4, 2026.

This page is refreshed as vendors change published prices. If a figure here is stale or a vendor has begun publishing a rate, tell us at https://ibl.ai/contact and we will correct it.