Map the fallout of a major industry shift.

Paste the announcement or describe the shift, a platform moving AI on-device, a rival changing its model, and Cascade traces where it lands across your market: which vendors get squeezed, which dependencies break, which regulations move, and where your own position is exposed.

Run Cascade
AuthorMariete
AgentCascade
Runtime~ 8 minutes
IndustryStrategy
  1. 1

    Describe the task

    Cascade takes a big external event (a platform’s strategy change, a rival’s new model, a technology crossing into the mainstream) and maps how the shockwave travels through your market. Paste the announcement or describe the shift in plain English, and six specialist agents fan out to trace where it lands: which vendors get squeezed, which businesses built on the old assumption break, which regulations move in response, and where your own position sits in the blast radius. Every node is probability- and confidence-scored and drillable to third order.

    The map is sharper when the event is concrete. Tell Cascade exactly what changed and who made the move, which part of your market you want traced, and how far out to look, and the branches stay anchored to a real shift instead of drifting into generic trend commentary. Name your own exposure and the agents will trace the paths back to you specifically.

    Map the fallout of a major platform shipping AI that runs fully on-device, announced this week, across our market. Trace out to third-order effects over a five-year horizon across: - Cloud-AI vendors (pricing pressure, which workloads move off their infrastructure) - Businesses built on AI APIs (which models break when inference goes local and free) - Privacy and regulation (how on-device processing shifts the compliance conversation) - Our own position (where we depend on the old assumption and where the shift could help us) Score every node by probability and confidence, flag the highest-risk path for a company positioned like ours, and say what would have to be true for it to break bad. End with the three consequences most competitors in our space will overlook.

  2. 2

    Give Cascade context

    Give Cascade the event itself (the announcement, the article, or a plain-English description) plus a sense of where you sit in the market it disrupts. With that grounding, the ripple branches trace back to your business specifically instead of describing the shift as generic industry news.

    The most useful add is your own dependency map: which parts of your product or model rest on the assumption the shift breaks. Cascade weights the branches that run through your exposure first, so the tree tells you where you are hit rather than just narrating the market at large.

    Required context
    The event, pasted as an announcement or described in plain English: what changed and who moved
    Your market position, which segment of the affected market you compete in
    Optional context
    Your dependency map, the parts of your business built on the assumption the shift breaks
    A time horizon, how far out to trace: one year for tactical, five years for structural
    A depth setting, push the branch that runs through your own exposure past three orders
    announcement.pdfour-dependencies.mdmarket-map.xlsx
  3. 3

    What Cascade creates

    Cascade streams the tree as it builds, expanding from the event outward through the market. The output is a navigable, probability- and confidence-scored consequence tree over the horizon you set, every node a specific downstream effect of the shift, with the highest-risk path for a company positioned like yours flagged and a short list of the consequences most competitors miss.

    From Cascade: Traced the on-device-AI shift three orders deep across four market fronts, over a five-year horizon.

    5yrHorizon traced
    3rdOrder depth reached
    4High-risk paths flagged
    Highest-risk branches4 paths
    FrontDepthConsequenceBreaks bad if
    Cloud-AI vendors2ndConsumer inference workloads drain off metered cloud pricing to free local computeOn-device models close the quality gap within two release cycles
    API-dependent businesses3rdProducts whose margin rests on reselling API inference lose their cost basisThe local model covers the same use case at zero marginal cost
    Our position3rdOur cloud-inference feature becomes a cost the market no longer pays forCustomers can self-serve the same result on-device by next year
    Most-overlooked consequences3 items
    ConsequenceOrderWhy it gets missed
    On-device processing quietly weakens the privacy-regulation case against cloud AI2ndRead as a product story, not a regulatory one
    The engineering talent market tilts toward on-device skills within two years3rdHiring effects lag the announcement and rarely make the first read

    "The branch that runs through your own position is the one to watch: your cloud-inference feature stops being a differentiator once on-device closes the quality gap, which I score inside two release cycles. Want me to push that path to fourth order, or run it side by side against the shift never reaching parity?"

  4. 4

    Follow-up prompts

    Expand the branch that runs through your position

    Cascade defaults to three orders, but the path that hits you directly can go further. Push your own exposure to fourth order to see how far the shift reaches into your roadmap and pricing.

    Expand the branch that runs through our position to fourth-order effects. Focus on what happens to our pricing, our roadmap, and our differentiation once on-device inference becomes the default customer expectation.

    Compare the shift landing versus stalling

    A shift this big is really two futures. Run compare mode on the shift reaching parity versus stalling below it, so you can size how much of your strategy hinges on which way it goes.

    Run a side-by-side comparison: on-device AI reaches quality parity within two years versus it stalls a generation behind cloud. Diff the two trees and show which of our exposures only matter if the shift actually lands.

    Trace where the shift could help you

    The ripple is not all downside. Have Cascade trace the upside branches: the segments where the shift opens a gap you are positioned to take rather than a threat you have to defend.

    Re-run the tree focused only on the branches where this shift helps us: new segments that open up, competitors more exposed than we are, and capabilities that become more valuable once inference is local and free.

  5. 5

    Tips and troubleshooting

    Paste the event, don’t paraphrase the trend

    “AI is moving to devices” fans out into generic commentary. The actual announcement (who shipped what, when, at what quality) lets Cascade anchor the ripple to a concrete move and score the branches against a real event instead of a vibe.

    Point it at your own exposure

    The tree is most useful when it runs back to you. Naming the parts of your business built on the assumption the shift breaks turns a market-wide map into a map of where you specifically get hit, which is the version worth bringing to a strategy review.

    Set the horizon to the decision

    A tactical response and a structural one need different depths of tree. Ask for one year when you are deciding this quarter’s roadmap, five years when you are deciding whether the whole positioning still holds: the horizon changes which branches Cascade treats as load-bearing.

  6. Ready to try it yourself?

    Paste the announcement, and get back a scored map of where the shift lands in your market and where it lands on you.

    Run Cascade