AI economics, plainly
How much does AI actually cost?
For Lincoln mid-market leaders. The real cost ranges, what drives them, and the line items most companies forget until they show up on the invoice.
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AI cost has three layers, and most cost surprises come from the second and third.
**Layer 1 — Direct tool cost.** Enterprise tier of a major AI assistant runs roughly $20–$60/seat/month. For a 100-person company, that's $24K–$72K/year. Specialized tools add $5–$50/seat/month each.
**Layer 2 — API and consumption cost.** When AI is embedded in custom workflows, cost shifts to per-token API consumption. Variable, hard to predict at first. Budget for 50–200% of your initial estimate while you tune.
**Layer 3 — Governance and change-management overhead.** Often the largest line item, invisible at procurement. Policy drafting, training, attestation, audit trail, manager enablement. For a mid-market rollout, $50K–$250K in the first year.
Why it matters for Lincoln companies
Deloitte's Q4 2024 found 78% of organizations expect to increase AI spending. McKinsey 2025 found only 39% report any EBIT impact, and only ~6% are 'AI high performers'.
The gap between spending and impact comes mostly from layer 3 being underfunded. Companies that budget for tools but skip governance and change-management end up in the 92%.
Common follow-up questions
- Realistic budget for a mid-market AI rollout?
- One wedge workflow in 90 days: $80K–$250K all-in. Enterprise-wide over 12–24 months: $400K–$2M+.
- Will it pay for itself?
- Tier 1 (one workflow): usually within 12 months. Tier 3 (EBIT-level): only ~6% of organizations achieve this.
- Biggest cost surprise?
- Almost always layer 3. Most companies allocate 5–10% to it; high performers allocate 25–40%.
- How does this compare to other tech rollouts?
- Closer to CRM or ERP than SaaS. The tool is the smallest part of the cost.
- Should we wait for prices to come down?
- Token API costs have fallen ~10–20x since 2023. Layer 3 (labor) won't fall. Waiting saves on the smallest cost while the largest compounds.
Sources
- 78% of respondents expect to increase their overall AI spending in the next fiscal year — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
- About 6% of organizations qualify as 'AI high performers' — those attributing 5%+ EBIT impact to AI — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- 39% of organizations report any EBIT impact at the enterprise level from AI — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
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