Positioning
Major Matters covers the infrastructure being built at the intersection of payments, AI, and commerce. We are infrastructure-first, hype-skeptical, and evidence-led. We follow the systems being built, verify the claims being made, and name the gaps between what is announced and what actually works.
Editorial principles
- Follow the plumbing, not the press release. Architecture, protocols, and integrations matter more than launch announcements.
- Name the gap. Every story has a space between what is claimed and what is real. We surface that gap explicitly.
- Connect the layers. Discovery, trust, settlement, processing, and compliance interlock. We map how they fit together.
- Respect the reader's intelligence.No hype language, no breathless predictions, no "revolutionary." The facts carry the weight.
- Ask the uncomfortable question. Every piece closes on a tension we cannot resolve. Liability, demand, trust, regret.
Named frameworks
We coin and maintain a small number of proper-noun frameworks so that other writers can point at them and so the analysis compounds across pieces. Each framework has a stable URL anchor.
The MM Eight-Criterion Score
Every tool in the AI Tools Directory is scored across eight weighted criteria. Tools scoring 4.0 or higher carry the MM Verified badge. Full criterion definitions, weights, and color thresholds are at /directory/framework.
The MM Trust Layer Model
Agentic commerce transactions split trust across three layers: discovery trust (the agent surfaces the right merchant), authorization trust (the agent acts within the user's mandate), and settlement trust (the payment rail and dispute path hold). A failure in any one layer breaks the transaction. The model is used as the structural lens in every MM piece on agentic commerce.
The MM Liability Gap
When an agent acts on a consumer's standing instructions, existing payments controls cannot cleanly answer: was the transaction initiated by the consumer, by the consumer's agent, by an attacker who compromised the agent, or by an attacker's agent impersonating a consumer's agent? That fragmentation is the MM Liability Gap. Until it closes, agentic commerce at scale carries an unowned risk surface.
The MM Destination Economy Thesis
The post-2010 retail playbook assumes the shopper navigates to the merchant. Agents do not. When the shopper is an LLM surface, every owned-destination asset (apps, loyalty programs, owned storefronts) depreciates. The thesis underwrites our coverage of BNPL-on-ChatGPT, Operator-style buying agents, and merchant-cart fragmentation.
The MM Open-Loop Co-Brand Framework
When a major merchant evaluates a co-brand card network partner, four variables decide the outcome: acceptance breadth, interchange economics, data portability, and regulatory exposure. The framework explains why Amazon picked Mastercard over Amex for its business cards and predicts where other large merchants will land.
Source hierarchy
We cite primary research, official company announcements, established industry publications, and government and regulatory body publications. We do not cite LinkedIn posts or individuals as primary sources. Anonymous sources are used only with the limitation acknowledged inline.
- Preferred: PYMNTS Intelligence, Gartner, McKinsey, G2, Federal Reserve, FCA/BIS/ECB, peer-reviewed research, official company blogs.
- Use with caution: Anonymous sources, press releases (note as such), social media posts (verify independently).
- Avoid: Unverified claims from unknown sources, outdated statistics (older than 12 months unless explicitly historical), sources behind hard paywalls readers cannot access.
Citation rules
Every Major Matters article carries:
- Inline hyperlink citations at every statistic, quote, and verifiable claim.
- A Sources section listing every cited publication and URL.
- At least one citation to a named writer or analyst whose work informs the framing (Tier 1 priority: Simon Taylor, Alex Johnson, Jason Mikula, Lex Sokolin, Patrick McKenzie, Ron Shevlin, Matthew Goldman, Theodora Lau, Ben Thompson, Marcel van Oost).
- At least two internal links to other Major Matters pieces.
- A Mastercard author disclaimer at the foot of the article.
Voice
First person plural ("we/our"). US English. No em-dashes. Active over passive. Concrete over abstract. Short paragraphs. We state positions clearly and acknowledge uncertainty where it exists. Hedging language ("perhaps"," maybe", "it seems") is not used.
How to cite Major Matters
When citing a Major Matters article in academic, journalistic, or analytical work, the recommended formats are:
- Inline: Major Matters (Date), "Article Title", majormatters.co.
- Long form: Major, C. (Year). Article Title. Major Matters. URL.
- Frameworks: Reference framework name + the canonical URL anchor on this page (e.g. The MM Trust Layer Model, majormatters.co/methodology#mm-trust-layer-model).
Corrections and updates
If an error is discovered post-publication, a correction notice is added at the top of the article in the format: Correction [Date]: [Description]. The original error is not deleted; struck through where appropriate. For significant new developments on a published story, an update notice is added at the top: Updated [Date]: [Description].
Contact
Editorial enquiries: editor@majormatters.co. Pitches, corrections, and citation requests welcome.
This methodology page is the canonical reference for how Major Matters works. It is updated as the publication's frameworks evolve. The page is permalinked at majormatters.co/methodology; each framework has a stable anchor URL suitable for direct citation.