← back to rankingCMG · Chipotle Mexican Grill, Inc.
Restaurants · mkt cap $37.5B · calls: Q1 FY2026 vs Q4 FY2025
43.0 conviction · conf-adj 43
conf –
enthusiasm:21.0 · trend:8 · quantifies:0 · impact:0 · under_radar:5 · credibility:5 · business_impact:4 · disruption:0 · commitment:0 · confirmation:0
Enthusiasm latest 7 / prev 6 (rising)
Chipotle's AI thesis is operational and customer-engagement focused: Avocado/AVA is meant to reduce manager burden, add operational insights, support scheduling and triage facilities issues, while AI-driven personalization targets lapsed users. Enthusiasm is rising because the latest call moves from broad AI/rewards language to named in-restaurant AI capabilities and deployment timing. Credibility is moderate, but management provides no direct quantified AI impact on sales, margin, labor hours, or productivity.
PAST (realized)
- Q1 FY2026, Scott Boatwright: "Avocado, our AI assistant continues to deliver real benefits by streamlining hiring and freeing up more time for our managers."
CURRENT (now)
- Q1 FY2026, Scott Boatwright: "Second is leveraging AI and our restaurants to further support our teams."
- Q4 FY2025, Scott Boatwright: "Third, we are in the process of relaunching our rewards program this spring to widen the funnel, leverage our data and AI to power more personalized and impactful user experiences."
- Q4 FY2025, Scott Boatwright: "We're leveraging the AI model to really identify those lapsed users and create journeys that get them reengaged with our brand."
FORWARD (guidance)
- Q1 FY2026, Scott Boatwright: "Now we are expanding [ AVA's ] capabilities to assist our general managers with operational insights, scheduling treat planning and [indiscernible] guidance."
- Q1 FY2026, Scott Boatwright: "These enhanced capabilities received a standing ovation in our all managers conference and we anticipate having them in stage gate at the end of the year."
- Q1 FY2026, Scott Boatwright: "Finally, our zip line pilot for drone delivery is showing encouraging early results, and we plan to expand the pilot for several more restaurants in second quarter."
- Q4 FY2025, Scott Boatwright: "Each will play a critical role in helping us to become more efficient, enhance our operations, and develop and deploy industry-leading technology."
TRACK RECORD — PROMISE vs DELIVERY
50/100 track record too-early 6 calls reviewed
Chipotle's only solidly quantified AI promise — rolling the computer-vision Chipotle Kitchen makeline display to all ~4,000 restaurants by end of 2026 — was made too recently to grade, while earlier vision/autonomy experiments (augmented makeline, Autocado) progressed partway then quietly faded; there is no completed quantified-AI promise yet to confirm a delivery track record.
Chipotle Kitchen — AI/computer-vision digital makeline display — rollout to ALL ~4,000 restaurants by end of 2026 (live in 100+ at the time) — promised Q1 FY2026
too-early Announced in the most recent call with only early on-time-accuracy gains reported; the year-end-2026 deadline has not arrived, so not yet judgeable.
'Ava' (Avocado) AI assistant expanded from hiring into GM operational insights, scheduling and facilities triage — capabilities 'in stage gate by end of 2026' — promised Q1 FY2026
too-early Stated as a year-end-2026 milestone in the latest call; no later results yet to confirm delivery.
Augmented digital make line (vision-assisted line) would be 'back in a restaurant later this summer' [2025] after Cultivate-center enhancements — promised Q1 FY2025
partial Showed up in the new innovation-space lineup by Q2 FY2025, then was largely subsumed into the 'Chipotle Kitchen' display by Q1 FY2026 — progressed but the original framing faded.
Autocado autonomous avocado-prep device under stage-gate testing — promised Q4 FY2024
quietly-dropped Still 'optimistic/in testing' through Q2 FY2025, then dropped out of prepared remarks by Q3-Q4 FY2025 with no quantified rollout ever attached.
PRICED-IN (REFINED)
MEDIUMEst. revisions falling · Fwd P/E 25.3 · EV/Sales 3.5x
AI claim maps to Food and Beverage, Delivery Service
Estimate revisions look falling rather than rising: buy/strong-buy counts have slipped since March/April and price targets are lower over the last quarter than the last year, while forward EPS is not consistently growing. Valuation is still rich for a mature restaurant business at about 25.3x forward earnings and 3.5x EV/sales, which means investors are already paying for quality and some upside. Any AI-driven benefit would most plausibly flow through Food and Beverage operating efficiency and possibly Delivery Service, so the mixed signal of rich valuation but falling revisions supports a medium priced-in verdict.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
4Q4 FY20244Q1 FY20255Q2 FY20254Q3 FY20256Q4 FY20258Q1 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
AI moved from kitchen automation experiments to a named strategic pillar with AVA delivering hiring, scheduling, operational insights, and facilities triage.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
6/10 qualitative impact moderate medium-term · soft evidence
Where AI matters: restaurant operations, labor workflow, personalization
Chipotle has credible adopter use cases in hiring/manager assistants, scheduling, facilities triage, computer-vision kitchen workflow, and AI-personalized rewards, which can improve throughput, labor productivity, and lapsed-user reactivation across a large store base. The case is still mostly qualitative: management has not tied AI to quantified sales lift, margin expansion, labor-hour savings, or EPS impact, and prior automation pilots have had mixed follow-through.
Caveats: No quantified Rev/EPS/labor impact disclosed; Stage-gate and rollout timelines remain too early to verify; Restaurant automation pilots can stall or prove operationally complex; Personalization benefits may be promotional rather than incremental
AI DISRUPTION / CANNIBALIZATION RISK tailwind · 1/10
AI does not commoditize Chipotle's core product: prepared food, brand, real estate, supply chain execution, and restaurant experience remain physical and operationally constrained. The main AI effect is additive efficiency and engagement; any pressure from AI-enabled competitors is indirect rather than a direct deflation of Chipotle's revenue model.
OPTIONS / MARKET STRUCTURE
option liquidity: good
proxy inputs — dollar-ADV $473M · beta 1.03 · px $29.25
source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.
CONFIRMATION — INSIDERS · 13F · LANGUAGE
Undercutting — insiders selling, institutions trimming, management language 6/10 measured.
INSIDERS selling 4 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) trimming as of 2026-03-31: 122 new / 223 closed positions; 513 increased / 580 reduced; institutional ownership -1.57pp; -110 net 13F holders
MGMT LANGUAGE 6/10 measured Real deployments and benefits, but AI expansion remains staged, early, and qualified rather than quantified.
commit “Avocado, our AI assistant continues to deliver real benefits by streamlining hiring and freeing up more time for our managers.”
commit “it is now live in over 100 restaurants, and we anticipate completing the rollout across all locations by the end of the year.”
hedge “we anticipate having them in stage gate at the end of the year.”
VERBATIM AI QUOTES
“modernizing our business model with industry-leading technology, including leveraging AI and relaunching our rewards program to elevate the experience for our guests and our teams”
— Scott Boatwright, Q1 FY2026
“Second is leveraging AI and our restaurants to further support our teams. Avocado, our AI assistant continues to deliver real benefits by streamlining hiring and freeing up more time for our managers.”
— Scott Boatwright, Q1 FY2026
“Now we are expanding [ AVA's ] capabilities to assist our general managers with operational insights, scheduling treat planning and [indiscernible] guidance.”
— Scott Boatwright, Q1 FY2026
“We are also enhancing our facilities capabilities to triage equipment issues more quickly, reducing [ down ] on and improving restaurant performance.”
— Scott Boatwright, Q1 FY2026
“These enhanced capabilities received a standing ovation in our all managers conference and we anticipate having them in stage gate at the end of the year.”
— Scott Boatwright, Q1 FY2026
“Finally, our zip line pilot for drone delivery is showing encouraging early results, and we plan to expand the pilot for several more restaurants in second quarter.”
— Scott Boatwright, Q1 FY2026
“modernizing our business model with industry-leading technology in leveraging AI and relaunching our rewards program to elevate the experience for our guests and our teams”
— Scott Boatwright, Q4 FY2025
“Third, we are in the process of relaunching our rewards program this spring to widen the funnel, leverage our data and AI to power more personalized and impactful user experiences.”
— Scott Boatwright, Q4 FY2025
“Additionally, to accelerate our approach to technology and innovation, we are hiring a new chief Digital Officer and a Vice President of Emerging Technologies.”
— Scott Boatwright, Q4 FY2025
“Each will play a critical role in helping us to become more efficient, enhance our operations, and develop and deploy industry-leading technology.”
— Scott Boatwright, Q4 FY2025
“So I think we've talked about personalization in the past, Chris, and we're starting to really accelerate the personalization journey.”
— Scott Boatwright, Q4 FY2025
“We're leveraging the AI model to really identify those lapsed users and create journeys that get them reengaged with our brand.”
— Scott Boatwright, Q4 FY2025
“More importantly is we're able to parse out deals or offers for based on how often they frequent our brand in the past.”
— Scott Boatwright, Q4 FY2025
“And what we anticipate their lifetime value to be.”
— Scott Boatwright, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q4 FY2025, Chris O'Cull): How are you thinking about communicating to light or lapsed users who probably represent a big opportunity but are likely not going to see the first-party loyalty offers?
A: Scott Boatwright: "So I think we've talked about personalization in the past, Chris, and we're starting to really accelerate the personalization journey. I'll give you an example. We're leveraging the AI model to really identify those lapsed users and create journeys that get them reengaged with our brand. More importantly is we're able to parse out deals or offers for based on how often they frequent our brand in the past. And what we anticipate their lifetime value to be."