{ "docId": "019dd923-5ca1-7489-b636-83d9001ae71a", "docSlug": "1f4828d675dd67cf", "documentTitle": "Insights from the leading edge of generative AI adoption", "authorId": "Deloitte", "authorName": "Deloitte", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 14, "pageCount": 34, "prevPage": 13, "nextPage": 15, "slideType": "key_messages", "function": "establish_context", "density": "overcrowded", "nDataPoints": 0, "notes": "The slide uses a rhetorical question as a title to frame the discussion around historical technology adoption patterns.", "elementsJson": [ "headline_text", "paragraph" ], "metadataConfidence": 0.9, "imagePath": null, "slideHref": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/14", "deckHref": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a", "deckJsonHref": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-14", "components": [ { "bbox": null, "kind": "callout", "text": "Generative AI's speed factor may give organizations less time to ruminate or dabble with small-scale pilots—while reducing the margin for error—and increasing the consequences of inaction.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd951-ba8c-7422-8543-3fa6c4997dee", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.5, "w": 0.5, "x": 0.5, "y": 0.5 }, "kind": "image", "text": null, "attrs": null, "subkind": "illustration", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "ce65b12d-1bef-4225-9f33-d85ad10d58bd", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.15, "w": 0.28, "x": 0.36, "y": 0.4 }, "kind": "paragraph", "text": "Despite generative AI ’s greatly accelerated pace, understanding typical adoption patterns based on previous breakthrough technologies can provide valuable lessons that leaders can use to help them understand and fully capitalize on the technology’s rapid advancement.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "1c1ef9d8-f985-44bf-b2b0-dad075592460", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.25, "w": 0.28, "x": 0.06, "y": 0.45 }, "kind": "paragraph", "text": "Generative AI is already widely available to the public and has a running start toward critical mass. Also, similar to smartphones, it’s easy for an average person to use without much training—and can help with activities they already engage in every day—so the barriers to adoption are low. What’s more, generative AI has the strong potential to assist with its own future development, which could trigger a cycle of exponential improvement at exponential speed.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "66ca668e-6d33-46ef-ae2c-8c59c932b82a", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.15, "w": 0.28, "x": 0.36, "y": 0.22 }, "kind": "paragraph", "text": "Generative AI’s speed factor may give organizations less time to ruminate or dabble with small-scale pilots—while reducing the margin for error—and increasing the consequences of inaction. It also creates opportunities to generate extraordinary business value very quickly.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "8788f4dc-8aea-47ab-a093-49b824f073d9", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.45, "w": 0.28, "x": 0.66, "y": 0.22 }, "kind": "paragraph", "text": "As in the past, organizations’ initial efforts will likely center around efficiency, productivity, cost savings and other incremental improvements. This is expected to help the workforce get accustomed to using generative AI, and will show people how it can help make their jobs easier. Also, early wins will likely help produce cost savings and momentum that then can be channeled into higher value opportunities that are more strategic and differentiated in nature, such as enabling new products, services, business models and ways of working that simply weren’t possible before generative AI.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "b3b05fef-c39c-42b6-9dac-626c966e3771", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.2, "w": 0.28, "x": 0.06, "y": 0.22 }, "kind": "paragraph", "text": "The term “unprecedented” is often thrown around when talking about business and technology, to the point of being cliché. However, in describing the pace of generative AI’s emergence and advancement—and its massive potential impact on business (and humanity as a whole)—unprecedented could be an understatement.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "f634213b-8c8f-4196-9e25-cf2d6772b33b", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.08, "w": 0.65, "x": 0.06, "y": 0.1 }, "kind": "title", "text": "Generative AI: Have we seen this movie before?", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "a62b9332-d196-4872-8f3e-70f304a858ab", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [ { "name": "Monroe's Motivated Sequence", "slug": "monroes-motivated-sequence", "agent": "Storyteller", "layer": "slide", "matchId": "f4289728-a216-4229-be6b-d6827c648dee", "evidence": "As in the past, organizations’ initial efforts will likely center around efficiency, productivity, cost savings and other incremental improvements.", "confidence": 0.6 } ], "frameworks": [ { "name": "argument-from-analogy", "slug": null, "matchId": "acd097e7-cb8e-4342-8eeb-109be2e5439f", "evidence": "The slide compares Generative AI adoption to previous breakthrough technologies and smartphones.", "confidence": 0.8 } ], "arcBeats": [ { "to": 20, "from": 13, "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Evidence & Proof", "beatSlug": "consultants-gambit-evidence-proof", "evidence": "Data tables, industry trends, and risk register", "position": 2, "confidence": 0.8, "parentBeatName": "Evidence", "parentBeatSlug": "evidence" } ], "loops": [ { "to": 22, "from": 11, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2", "evidence": "Slides discussing current efforts, societal impacts, and leader concerns", "position": 0, "objective": "Highlighting the risks of not adopting generative AI", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.6, "description": "Quantify what happens if the audience does nothing" }, { "to": 20, "from": 14, "name": "Ladder Abstraction", "slug": "28-ladder-abstraction", "bestFor": "Training, thought leadership, making complex ideas accessible", "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc", "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk", "position": 1, "objective": "Showing the complexity of generative AI adoption", "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application", "confidence": 0.6, "description": "Move between concrete examples and abstract principles to make ideas stick" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }