{
    "products": [
        {
            "slug": "co-intelligence",
            "name": "Co-Intelligence",
            "kind": "book",
            "website": "https://www.penguinrandomhouse.com/books/741805/co-intelligence-by-ethan-mollick/",
            "page": "https://listme.name/books/co-intelligence",
            "tagline": "Ethan Mollick's practical guide to working alongside generative AI",
            "summary": "Co-Intelligence: Living and Working with AI is a 2024 book by Ethan Mollick, a business-school professor. It describes how people can work with generative AI tools on writing, analysis and everyday tasks, using many examples from business and education. The publisher is Portfolio, part of Penguin Random House.",
            "developer": "Portfolio (Penguin Random House)",
            "author": "Ethan Mollick",
            "formats": [
                "print"
            ],
            "pricing": "paid",
            "price_note": "Sold as a print book; price varies by seller",
            "free_to_use": false,
            "open_source": false,
            "strengths": [
                "Practical, example-driven guide to generative AI",
                "Written for managers, students and professionals",
                "Accessible prose with no technical background needed"
            ],
            "limits": [
                "Tool examples will date as AI products change",
                "Little economic analysis of jobs and markets"
            ],
            "checked": "2026-10-10",
            "connected_to_publisher": false,
            "cover": "https://listme.name/assets/covers/co-intelligence.webp",
            "overview": "The book explains what generative AI systems do well and where they fail, and how people can use them as collaborators on writing, analysis and ideas. Mollick organizes his advice around concrete examples from business, education and everyday work, so readers can see what changes in their own tasks. It was published in 2024, and the tools it describes have changed quickly since, so some specific examples will date.\n\nThe book suits managers, students and professionals who want a practical starting point for AI at work and do not need technical detail. It is less about how the underlying machine learning works and less about economics than The Second Machine Age or Prediction Machines. Its trade-off is that it gives individual and team advice rather than a long-term view of jobs and markets, so it works best alongside the economic titles in this list."
        },
        {
            "slug": "range-why-generalists-triumph",
            "name": "Range",
            "kind": "book",
            "website": "https://davidepstein.com/range/",
            "page": "https://listme.name/books/range-why-generalists-triumph",
            "tagline": "David Epstein's case for broad experience over early specialization",
            "summary": "Range: Why Generalists Triumph in a Specialized World is a 2019 book by David Epstein, published by Riverhead. It argues that broad experience and sampling often work better than early specialization in complex fields. It draws on research and case studies from many areas.",
            "developer": "Riverhead",
            "author": "David Epstein",
            "formats": [
                "print"
            ],
            "pricing": "paid",
            "price_note": "Sold as a print book; price varies by seller",
            "free_to_use": false,
            "open_source": false,
            "strengths": [
                "Draws on research and case studies across fields",
                "Accessible to readers outside any single field"
            ],
            "limits": [
                "Does not address AI or technology change directly",
                "Case studies carry much of the argument"
            ],
            "checked": "2026-10-10",
            "connected_to_publisher": false,
            "cover": "https://listme.name/assets/covers/range-why-generalists-triumph.webp",
            "overview": "The book argues that broad experience and sampling of many fields often beat early, narrow specialization, especially in complex and unpredictable work. It contrasts areas with clear rules, where early and deliberate practice pays off, with areas that are less predictable, where wider exploration tends to help. Its evidence comes from research studies and case studies rather than from personal opinion alone.\n\nThe book suits general readers, career changers and managers who wonder whether a narrow path is required. It does not address AI or technology change directly, but its argument about adaptable thinking complements the AI titles in this list. Its trade-off is that case studies carry much of the argument, so readers should check the research behind any claim that matters to them."
        }
    ],
    "differences": [],
    "shared_rankings": [
        {
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            "name": "Career and future-of-work books",
            "page": "https://listme.name/best/career-and-future-of-work-books",
            "of": 12,
            "results": [
                {
                    "product": "co-intelligence",
                    "rank": 1,
                    "score": 90,
                    "verdict": "The most practical guide here to working with generative AI, written for managers, students and professionals. It is the only title written with current tools in view, but its tool examples will date faster than the economic books.",
                    "best_for": "Practical use of generative AI at work",
                    "spec": {
                        "angle": "Practical AI use at work",
                        "audience": "Managers, students and professionals",
                        "evidence_based": false
                    }
                },
                {
                    "product": "range-why-generalists-triumph",
                    "rank": 4,
                    "score": 88,
                    "verdict": "A well-supported case that broad experience often beats early specialization in complex fields, drawing on research and case studies. It is about learning and career paths rather than AI, so it complements the AI books above.",
                    "best_for": "Generalist careers and broad experience",
                    "spec": {
                        "angle": "Generalists and specialization",
                        "audience": "General readers and career changers",
                        "evidence_based": true
                    }
                }
            ]
        }
    ],
    "ranks_higher_in_closest_shared_list": "co-intelligence",
    "page": "https://listme.name/compare/co-intelligence-vs-range-why-generalists-triumph",
    "json": "https://listme.name/api/v1/compare/co-intelligence-vs-range-why-generalists-triumph.json",
    "notes": [
        "Scores are editorial and only comparable inside one list. Products with connected_to_publisher true receive a disclosed ranking lift: https://listme.name/methodology"
    ],
    "source": "https://listme.name",
    "license": "Free to read and cite with attribution to listme.name.",
    "docs": "https://listme.name/developers"
}