Per-person AI training costs in 2026 range from $800 to $3,500 depending on program intensity and duration. Per-engagement costs for a 10-to-15-person leadership team run $19,500 to $50,000 for a six-to-eight-week cohort program. Annual programs run $96,000 to $250,000 per year. The price band is wide because the deliverable bands are wide. What you pay reflects what you measure: literacy programs are the cheapest and produce the smallest output change; proficiency programs cost more and produce verifiable work change.
The direct answer
For a leadership team of 10 to 15 people, the practical pricing bands in 2026 look like this:
cost band for a single 6-to-8-week leadership-team AI engagement (cohort up to 15, pre and post measurement, written capability audit).
Source: 2026 market scan across LaunchReady, Larridin, Section AI, MIT xPRO, Berkeley AI for Executives, Wharton AI and AnalyticsThe structural drivers of price:
- Program intensity. A literacy course is cheaper than a proficiency engagement. A proficiency engagement is cheaper than a multi-month immersion.
- Cohort size. Smaller cohorts cost more per seat (more individual attention). Open enrollment is cheaper per seat than a single-company cohort.
- Measurement built in. Programs with pre-and-post assessment cost more than knowledge-only programs. The measurement is the deliverable.
- Brand premium. University programs (MIT, Wharton, Berkeley) charge a premium for the institutional name.
- Delivery format. Remote is cheaper than on-site. On-site adds $4,500 to $15,000 to the engagement price.
The three pricing models in market
AI training pricing in 2026 falls into three structural models. Most providers fit one; some blend two.
Model 1. Per-seat (open enrollment)
The user pays for a single seat in a program that runs with strangers. MIT xPRO, Wharton AI and Analytics, Coursera Generative AI for Executives, Section AI's open programs all run this way. Per-seat costs range from $1,500 (Coursera) to $5,900 (MIT xPRO) to $11,000-plus (Berkeley four-week immersion). Open enrollment is the cheapest path to a credential and the most expensive path to team capability change. There is no team output measurement; only the individual completes a course.
Model 2. Per-engagement (single-company cohort)
The user pays a flat fee for a program that runs with their team only. The 7 Levels Engagement, Larridin's enterprise programs, and Big Four AI strategy engagements all run this way. Per-engagement prices range from $19,500 (LaunchReady Standard, six weeks, cohort up to 15) to $35,000 (LaunchReady Enterprise) to $50,000 to $250,000 (Larridin enterprise tier and McKinsey-Bain-BCG-Deloitte engagements). Single-company cohorts produce the cleanest team measurement because everyone in the program does the same work in the same context.
Model 3. Annual program (sustained capability)
The user pays a recurring fee for ongoing capability development. The 7 Levels Mastery Track, FranklinCovey-style annual contracts, and most enterprise AI consulting retainers run this way. Annual prices range from $96,000 (LaunchReady Standard Mastery Track) to $180,000 (LaunchReady Enterprise) to $250,000 to $1,000,000 (Big Four annual retainers). Annual programs include quarterly capability re-audits, which is the only way to detect capability decay before it becomes operational.
Most companies start with Model 2 (single engagement) to validate the methodology, then move to Model 3 (annual program) to sustain it. Model 1 (open enrollment) is for individual upskilling, not workforce strategy.
Per-seat pricing range and what it includes
Per-seat AI training in 2026 falls into three intensity bands.
Enterprise-wide rollout band: $800 to $1,200 per seat
12-to-18-month program. Heavy on literacy and basic fluency. Light on per-team measurement. Best fit for organizations of 1,000-plus employees that need broad AI awareness as a cultural baseline. Vendors: Coursera enterprise, Udemy enterprise, Section AI's enterprise tier, university online certificates. The aggregate spend is high ($800 by 1,000 employees equals $800,000), but the per-team capability change is rarely measured.
Cross-functional knowledge-worker band: $1,200 to $2,000 per seat
6-to-12-month program. Mixes literacy, fluency, and entry-level proficiency. Best fit for organizations of 100 to 1,000 employees rolling AI capability across departments. Vendors: Larridin standard tier, Section AI standard tier, BetterUp AI programs, Hone AI programs. The 7 Levels Engagement at $1,300 per seat (Standard, 15 people) sits at the floor of this band but compresses the timeline to six weeks.
Specialist / executive cohort band: $2,000 to $3,500 per seat
6-to-12-month program. Heavy on proficiency. Best fit for leadership teams or specialist functions that need Level 4-plus proficiency in specific work types. Vendors: Larridin enterprise tier, MIT xPRO, executive coaching firms with AI specialization, BetterUp executive tier. The 7 Levels Engagement Enterprise at $1,750 per seat (20 people) sits below this band's floor; it compresses the timeline by running a measured six-week engagement instead of a 6-to-12-month program.
Per-seat math note: at the same total budget, a six-week engagement at $1,300 per seat produces faster measurable output than a 12-month program at $2,500 per seat, because capability decays without practice and shorter cycles hold the gains.
Per-engagement pricing range
For a single 10-to-15-person leadership team, per-engagement pricing in 2026:
| Provider | Format | Cohort size | Duration | Price band |
|---|---|---|---|---|
| The 7 Levels Engagement (Standard) | Single-company cohort, remote default | Up to 15 | 6 weeks | $19,500 |
| The 7 Levels Engagement (Enterprise) | Single-company cohort, on-site included | Up to 20 | 6 weeks | $35,000 |
| Larridin enterprise tier | Single-company, hybrid | 10 to 30 | 3 to 6 months | $50,000 to $250,000 (estimate; not publicly priced) |
| MIT xPRO AI for Senior Executives | Open enrollment, hybrid | Open | 6 to 7 months | ~$5,900 per seat ($59,000 to $88,500 for 10 to 15 people) |
| Berkeley AI for Executives | Open enrollment, on-campus | Open | 3 days | ~$8,500 per seat ($85,000 to $127,500 for 10 to 15 people) |
| Big Four AI strategy engagement | Custom advisory | Variable | 3 to 12 months | $250,000 to $1,000,000+ |
The right comparison is not provider-to-provider in price; it is deliverable-to-deliverable. A $5,900-per-seat MIT xPRO program delivers a course completion and a credential. A $1,300-per-seat 7 Levels Engagement delivers a measured proficiency change with a written audit. Different deliverables. Different uses.
Annual program pricing range
Annual AI capability programs in 2026 range from $96,000 to $1,000,000-plus per year, depending on scope and provider.
| Provider | Tier | Annual price | Includes |
|---|---|---|---|
| The 7 Levels Mastery Track | Standard | $96,000 | Engagement + 4 quarterly capability audits + ongoing cohort support. 20% prepay discount available. |
| The 7 Levels Mastery Track | Enterprise | $180,000 | Engagement + quarterly audits + on-site quarterly + dedicated executive coaching. 20% prepay. |
| FranklinCovey AI Practice | Annual contract | $150,000 to $500,000 | Annual training license, train-the-trainer model, no AI-specific measurement instrument. |
| Big Four AI strategy retainer | Annual | $250,000 to $1,000,000+ | Strategy advisory, partial implementation, often without measurable workforce capability change. |
What to budget for the first 90 days
For a leadership team of 10 to 15 people:
- Direct program cost: $19,500 to $35,000 (one 7 Levels Engagement) OR $59,000 to $88,500 (one MIT xPRO open-enrollment cohort).
- Time investment: $5,000 to $15,000 (75 minutes per week per person for six weeks plus between-session work, valued at typical executive hourly rates of $200 to $500 per hour).
- Internal coordination: $3,000 to $8,000 (HR, scheduling, communications).
- Total first 90 days: $25,000 to $50,000 with the 7 Levels Engagement; $70,000 to $115,000 with university open-enrollment programs.
The variable that drives the spread is whether the program is structured as a single-company engagement (cheaper, more measurable) or open enrollment (more expensive per seat, no team measurement).
What to budget for the first 12 months
First-12-month budget for a leadership team typically combines one engagement plus an annual program, plus ongoing tool spend (AI software licenses, productivity tools).
- Standard tier: $96,000 to $115,000 (engagement plus Mastery Track Standard plus tool licenses)
- Enterprise tier: $180,000 to $215,000 (engagement plus Mastery Track Enterprise plus tool licenses)
- Strategy-firm path: $250,000 to $1,000,000-plus (Big Four annual retainer plus implementation; rarely includes verifiable proficiency measurement)
The 20-percent annual prepay discount on the 7 Levels Mastery Track changes the math at scale. A Standard-tier annual contract paid quarterly is $96,000; the same contract paid annually is $76,800. For a multi-year commitment, the prepay discount compounds.
ROI math: pre and post measurement is the only honest claim
The ROI on AI training is notoriously hard to measure. Two structural reasons. First, AI capability decays without practice; gains made in week 4 of a 6-month program may have evaporated by month 6 if the practice cadence is wrong. Second, the workforce-output change attributable to AI training is co-mingled with other capability changes (better tools, better processes, better hiring); attribution is a problem.
The only ROI claim that is defensible at the board level is a pre-and-post measurement of capability against work. The math:
- Pre-engagement team-level distribution: Level X average across the team.
- Post-engagement team-level distribution: Level Y average across the team.
- Capability change: Y minus X levels, distributed across the team.
- Time-saved estimate: Hours per week per person at the new capability level, multiplied by hourly rate.
- Revenue or cost impact (if attributable): Direct revenue gain or cost savings tied to the higher-capability work the team is now producing.
The 7 Levels Engagement structurally produces this comparison because the methodology is longitudinal by design. Big Four strategy engagements rarely produce it because the deliverable is a strategy document, not a capability score. University programs do not produce it because there is no post-program team measurement.
The methodology for producing this measurement is documented at how to measure AI readiness in a team, and the audit deliverable is described at what is an AI capability audit.
Common pricing mistakes
Three pricing mistakes recur across companies budgeting AI training for the first time:
Mistake 1. Per-employee training at scale
Buying $800 enterprise-wide seats for 1,000 employees costs $800,000. The aggregate spend is high. The per-team capability change is rarely measured because there is no team-level deliverable. The CFO sees a big training line and the COO sees no operational change. Both are right; the spend was on the wrong layer.
Mistake 2. Certification-only programs
Programs that count badges as deliverables. A certificate is proof of attendance. It is not proof of work change. Certification-only programs are common because they are easy to deliver and easy to score; they are expensive because the score does not predict work output. The work output is what the company is paying for.
Mistake 3. Vendor-graded outcomes
The same firm runs the pre-assessment and the post-assessment. The score will look better than the work. A defensible measurement methodology uses a third-party instrument that the vendor cannot tilt. The 7 Levels assessment is hosted at assess.launchready.ai independently of any specific engagement to address this exact problem.
Related reading: how to measure AI readiness in a team, what is an AI capability audit, AI proficiency vs AI literacy vs AI fluency.
Frequently asked questions
How much does AI training cost for a leadership team?
Per-person costs range from $800 to $3,500 depending on intensity. Per-engagement costs for a 10-to-15-person team run $19,500 to $50,000 for a six-to-eight-week cohort. Annual programs run $96,000 to $250,000 per year. The price band is wide because the deliverable bands are wide.
What is the typical price per seat for AI training?
Enterprise-wide rollouts: $800 to $1,200 per seat (12 to 18 months). Cross-functional knowledge-worker programs: $1,200 to $2,000 per seat (6 to 12 months). Specialist or executive cohorts: $2,000 to $3,500 per seat (6 to 12 months). The 7 Levels Engagement Standard sits at approximately $1,300 per seat for six weeks.
How much should we budget for AI training in the first 90 days?
For a leadership team of 10 to 15 people: $19,500 to $35,000 for the engagement plus $5,000 to $15,000 for time investment plus $3,000 to $8,000 for coordination. Total first-90-day budget: $25,000 to $50,000 for a measurable proficiency change with a written audit.
How much should we budget for the first 12 months?
Standard tier: $96,000 to $115,000 (engagement plus Mastery Track Standard). Enterprise tier: $180,000 to $215,000. Strategy-firm path: $250,000 to $1,000,000-plus. Annual prepay discounts of 20 percent available on the Mastery Track tier.
How does the 7 Levels Engagement compare to MIT xPRO or Wharton AI executive programs?
Three differences. First, the 7 Levels Engagement is single-company cohort; university programs are open enrollment. Second, the 7 Levels Engagement delivers measured proficiency change; university programs deliver a course and credential. Third, prices overlap but deliverables differ: $1,300 per seat for a measured engagement vs $3,250 to $5,900 per seat for a course.
How do I calculate ROI on AI training?
The only defensible ROI is pre-and-post measurement of capability against work. Capability moved from X to Y, costing $Z, in N weeks. Time saved per week per person multiplied by hourly rate gives soft ROI; revenue impact gives harder ROI. Most ROI claims without pre-and-post measurement are theater.
What are the common pricing mistakes companies make?
Per-employee training at scale without team measurement. Certification-only programs that count badges as deliverables. Vendor-graded outcomes where the same firm runs pre and post measurement. Each is common; each produces a high training line and a low operational change.
What does free AI training cover, and when is it sufficient?
Free AI training (the 7 Levels assessment, university online courses, vendor learning paths) covers literacy and basic fluency well. Sufficient for organizations whose work does not require Level 3 or higher proficiency. Not sufficient for leadership teams running mid-market or enterprise companies, where the work requires Level 4 to 6 proficiency that paid cohort programs target.
Run the engagement on your team
The 7 Levels Engagement is the priced deliverable. Pre-engagement assessment, written capability audit, six-week intervention, post-engagement reassessment, and a written audit report at the end. Standard $19,500. Enterprise $35,000.