McDonald's vs Subway: units, growth & AI adoption
McDonald's leads on AI adoption (87/100 vs 58/100), while McDonald's is the larger system by unit count (40,275+ vs 36,000+). McDonald's is growing faster year-over-year (+3.2%). Data verified Q3 2026.
| Metric | McDonald's | Subway |
|---|---|---|
| Sector | QSR / Fast Food | QSR / Fast Food |
| Headquarters | USA | USA |
| Units (approx.) | 40,275+ ◂ | 36,000+ |
| Unit growth YoY | +3.2% ◂ | +1.1% |
| AI Adoption Score | 87/100 ◂ | 58/100 |
| Operations AI | 92 ◂ | 55 |
| Marketing AI | 85 ◂ | 66 |
| Training AI | 82 ◂ | 52 |
| Data infrastructure | 89 ◂ | 59 |
| Region | North America | North America |
| Index rank | #1 ◂ | #31 |
McDonald's
The largest restaurant franchise by revenue runs one of the most instrumented AI stacks in franchising: dynamic drive-thru ordering, predictive kitchen systems, and the Founder's platform for unit-level analytics.
FULL MCDONALD'S PROFILE →Subway
One of the most-franchised brands globally, mid-pack on AI adoption: digital ordering and loyalty personalization are live, unit-level AI operations tooling is still limited.
FULL SUBWAY PROFILE →Reading the comparison
What actually separates them
McDonald's leads Subway by 29 points overall (87 vs 58), and the gap is concentrated rather than spread. The widest single divergence is operations AI, where McDonald's is 37 points ahead.
Operations AI carries the heaviest weight in the score at 35%, because it is the pillar most tied to unit economics and the hardest to claim without deploying.
Sector context
Both compete in QSR / Fast Food, which averages 68/100 across the 14 systems we track in it, against an industry average of 63. McDonald's sits above that sector average; the other does not.
Same-sector comparison is the one that carries real weight. These two are competing for the same operators and the same customers, so a durable capability gap between them is a competitive fact rather than a statistical curiosity.
What this comparison does not tell you
McDonald's ranks #1 and Subway #31 of the 50 systems in the Index. That ordering describes depth of AI deployment and nothing else.
We publish no correlation between AI score and franchisee profitability, because no verified dataset supports one. Unit economics, franchisee satisfaction, territory terms and the disclosure document decide a franchise purchase; AI maturity is a tiebreaker between otherwise comparable options.
Scores describe system-level capability. What reaches any individual unit depends on that system's rollout, and in large networks the variation between units is wide.
Franchise Intelligence Index
Compare every tracked system — full benchmarks, updated quarterly.
SOURCE: FRANCHISEPULSE FRANCHISE INTELLIGENCE INDEX, Q3 2026 · FREE TO CITE WITH ATTRIBUTION + LINK
Unit counts, growth rates and founding years are approximate public figures compiled from company reports and press (2025–26). They are published by third parties, compiled as-is, and may change; we do not independently verify the underlying data — check the company’s own filing before acting on it. The AI Adoption Score is FranchisePulse’s own editorial metric (operations 35% · data infrastructure 30% · marketing 20% · training 15%), not a measured industry statistic — see the open methodology. For reference only; not legal, tax, or investment advice.