Vision 2030: Advertising After Scrolls

Executive Summary
Scrolls eliminated ad inventory by moving attention from centralized feeds to private, edge-generated streams. In 2030–2035, advertising did not “die,” but its locus shifted: from buying audiences on platforms to earning selection by personal AIs. Budget migrated from media to devices, data, and product infrastructure. The new competition is not for impressions; it is for inclusion in the model—what CMOs now call Share of Consideration (SoC) inside the user’s scroll.

  1. Structural Shift: From Platforms to Devices
    • No ad slots: Scrolls are 100% AGC, locally generated, with no third-party insertions. The supply of attention is intact; the supply of purchasable inventory is not.
    • Device as demand middleware: Apple, Samsung, Xiaomi, Huawei, Nokia, and others became the critical distribution layer. Their scroll quality, not platform reach, mediated discovery and purchase intent.
    • CAPEX vs. OPEX inversion: Marketers reallocated OPEX (media) toward CAPEX-like spend—device partnerships, on-device model enrollment, product graph publishing, and authenticated data infrastructure that keeps brands “present” in scrolls without buying exposure.
  2. From Interruption to Inclusion: Agentic Commerce
    • Inclusion > Exposure: The operative question became, “Am I in the user’s model at the decision moment?” not “How many times did I reach them?”
    • Intent translation: Personal AIs convert vague intent (“fix dinner fast,” “plan a weekend”) into candidates. Brands “win” by being retrievable with high confidence under myriad, messy intents.
    • Offer negotiation: Instead of ad auctions, A2A agents negotiated bundles, delivery windows, warranties, and returns behind the scenes. Price promotion persists, but as machine-to-machine contracts, not sponsored placements.
    • Ambient presence: Scrolls surface brand objects (how-to, simulated try-ons, maintenance nudges) when personally useful. The brand’s job is to give the AI rich, verifiable objects to surface.
  3. The New Brand Stack (2030–2035)
    • Product Graphs: Machine-readable specs, provenance, SKUs, variants, warranties, service networks, carbon and safety passports.
    • Veracity Layers: Cryptographic attestations, supplier proofs, recall/defect channels, real-time availability.
    • Experience Objects: Modular demos, simulations, personalized checklists, repair guides, and “care rituals” that scrolls can remix contextually.
    • Offer APIs: Inventory, price, SLA, and returns exposed for A2A negotiation.
    • Consentful CRM → MRM: Customer Relationship Management evolved into Model Relationship Management—maintaining your brand’s high-fidelity representation inside users’ AIs.
  4. Measurement Without Impressions
    • From last-click to last-choice: The critical KPI is Conversion Quality at the AI layer—how often the brand is chosen when the model proposes options under different intents and constraints.
    • New KPIs:
    – Share of Consideration (SoC): Frequency of brand presence in AI shortlists.
    – Retrieval Share of Shelf (RSS): Probability the brand is returned for a category intent (“protein snack,” “eco laundry”).
    – Pattern Fit Score: Alignment of product attributes with the user’s evolving pattern.
    – Reliability Delta: Post-purchase satisfaction signals that raise or lower future inclusion weight.
    • MMM revival: With impression-level telemetry gone, econometrics returned. Brands triangulate incrementality with retail sell-through, service calls, warranty data, and panel-based scroll analytics (opt-in, privacy-preserving).
  5. Creators & Culture After Ads
    • HGC did not vanish. It re-specialized: culture craft, brand myth, taste-making. Sponsorships remained, but the value path changed—creator impact is measured by downstream SoC lifts inside scrolls, not vanity metrics.
    • “Made-for-Model” creative: Brands produce micro-narratives and instructions that AIs can decompose, recombine, and personalize—less 30-second spots, more canonical atoms.
    • Authenticity arbitrage: Human craftsmanship signals (origin stories, behind-the-scenes, material proofs) became inputs that raise veracity weights in scroll retrieval.
  6. Retail Media & Marketplaces
    • Retail media lost its privileged ad real estate but gained leverage as data custodians. Their value shifted to authenticated inventory feeds, returns performance, and fulfillment SLAs that raise a brand’s inclusion score.
    • Co-op budgets moved from banner buys to joint product-graph upgrades, verified availability, and post-purchase service orchestration—all of which AIs reward.
  7. Economics: Where the Money Went
    • Media ↓; Infrastructure ↑: A sustained reallocation from buying reach to building retrievability. Budgets flowed to:
    – Device-maker partnership programs and scroll readiness.
    – Product graph authoring, verification, and continuous updates.
    – Offer/contract APIs, logistics integration, and service networks.
    – Creator and community patronage that seeds cultural priors the models recognize as quality.
    • Price competition changed form: Less coupon advertising, more dynamic A2A negotiation coupled to reliability and service guarantees.
  8. Privacy, Policy, and Antitrust
    • Privacy by default: Scrolls’ local generation extinguished the cross-site identity graph. Third-party targeting collapsed; behavioral rent extraction receded.
    • Antitrust pivot: Scrutiny moved from platform ad auctions to device-level “model neutrality.” Regulators asked whether OEMs favored house brands in scroll retrieval or unfairly taxed third-party product graphs.
    • Standards wars: Industry consortia raced to define interoperable product passports, safety schemas, and provenance proofs that AIs trust.
  9. Winners & Losers
    • Likely Winners:
    – Brands with deep, truthful product graphs and strong service reliability.
    – Device makers that convert scroll quality into hardware preference.
    – Retailers mastering verified availability and painless returns.
    – Creators whose cultural capital lifts model priors and SoC.
    • Likely Losers:
    – Arbitrage layers dependent on third-party tracking and cheap impressions.
    – Brands that outsourced data truth; hollow specs get down-ranked by AIs.
    – “Spray and pray” performance marketing without post-purchase reliability.
  10. Operational Playbook for CMOs (2030 Edition)
  1. Build the Product Graph: Exhaustive, authenticated, machine-readable; ship updates weekly.
  2. Publish the Veracity Layer: Proofs of safety, provenance, warranties, recalls, sustainability.
  3. Expose Offer APIs: Real-time price, inventory, delivery promises, returns; enable A2A negotiation.
  4. Author Experience Objects: Modular demos, how-tos, maintenance rituals, comparison matrices.
  5. Partner with Devices: Certify “scroll-ready” assets; test inclusion and latency on top OEMs.
  6. Pivot CRM → MRM: Maintain per-customer model representations; respect consent; update attributes after every service interaction.
  7. Re-tool Measurement: Track SoC, RSS, Pattern Fit, Reliability Delta; revive MMM with retail sell-through and service data.
  8. Service as Media: Treat post-purchase excellence as your largest awareness driver inside scrolls.
  9. Creator Strategy 2.0: Commission cultural scaffolding that improves priors the models learn from.
  10. Retail Co-Dev: Invest co-op dollars in inventory truth, returns ease, and last-mile reliability.
  11. Compliance by Design: Align with emerging product-passport and safety standards; get ahead of OEM neutrality audits.
  12. Kill the Orphans: Sunset campaigns that cannot be decomposed into reusable objects for scroll retrieval.
  13. Strategic Outlook
    Advertising’s core job—shaping choice—did not disappear. It moved down a layer, from renting attention to earning selection by personal AIs. In a world without ad slots, brands compete on truth, usefulness, and service reliability, encoded as data the model can trust. The thumb still scrolls. The auction is gone. The model chooses. Brands that design for inclusion—verifiable, retrievable, and reliably satisfying—win the day.

Author: John Rector

Co-founded E2open with a $2.1 billion exit in May 2025. Opened a 3,000 sq ft AI Lab on Clements Ferry Road called "Charleston AI" in January 2026 to help local individuals and organizations understand and use artificial intelligence. Authored several books: World War AI, Speak In The Past Tense, Ideas Have People, The Coming AI Subconscious, Robot Noon, and Love, The Cosmic Dance to name a few.

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