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How much to budget for AI in 2026.

If you are setting an AI budget for 2026 at a B2B mid-market company, this is the rule-of-thumb guide. Real numbers from real engagements — license, implementation, training, internal time — broken down by company size and what each tier buys you.

By Bill Colbert · Founder, Treetop Growth Strategy
Published May 2026 · More from the library
Quick guidance by size

Rule-of-thumb numbers

Company sizeYear 1 total AI spendWhat it buys
Under 10 people\$2K-\$8KPersonal LLM seats + light internal time. No external help.
10-30 people\$10K-\$30KTeam LLM seats + first implementation engagement + light training.
30-50 people\$20K-\$60KTeam or Enterprise seats + 2-3 implementation engagements across functions + structured training.
50-100 people\$40K-\$120KEnterprise platform + multi-function rollout + dedicated AI lead time + external implementation partner.
100-250 people\$80K-\$300KEnterprise platform + cross-functional rollout + dedicated AI ops role + outside help as needed.

These numbers assume the LLM platform path (Claude Team/Enterprise or ChatGPT Team/Enterprise). Budgets balloon 5-20x if you go the custom-build path. For most $5M-$50M companies, the LLM platform path is the right answer.

What's in the budget

Five line items

1. Platform licenses

Claude Team / ChatGPT Team: ~\$30/user/month. Enterprise tiers: variable, typically \$50-\$100/user/month. Provision for the whole affected function, not just the AI lead.

2. Implementation

External help for the first 1-3 workflows: \$5K-\$50K typical for mid-market. Compresses time-to-value by 2-3 months. Often the best dollar spent.

3. Training

Internal training time + optional external trainer: \$0-\$10K. Most teams underspend here. Workflow-specific training (not generic AI training) is what produces adoption.

4. Internal AI lead time

If you allocate 8-12 hrs/week of someone's time, that's \$25K-\$50K of fully-loaded cost over 6 months. It is a real cost; budget for it explicitly.

5. Buffer

Tools you discover, training refreshes, new workflows. 15-20% on top of the above.

What to deprioritize

Where teams over-spend

Budget for the AI lead

The one role to invest in

The single best AI budget decision at most companies: protect 8-12 hours/week of one capable operator's time, with a real mandate to lead rollout, for at least 6 months. Sometimes you need to pay this person more or restructure their role; sometimes you hire someone specifically. Either way, this is the highest-ROI line item in the budget.

What you should NOT budget for in 2026

Save the money

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