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    Home»Opinion»Kodak Never Left
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    Kodak Never Left

    Doc LigotMarch 17, 20265 Mins Read
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    Kodak’s reaction to digital cameras, its demise and recent comeback, should teach us how to react to AI.

    The laziest story about Kodak goes like this: dinosaurs ignore the meteor, then complain about extinction. It’s tidy. It’s smug. It’s also wrong in the way most corporate cautionary tales are wrong: it confuses awareness with ability.

    Kodak didn’t “miss” digital photography the way someone misses a memo. It lived inside a machine that worked, spectacularly. Film wasn’t just a product; it was an ecosystem of factories, chemicals, paper, processing, retail partnerships, and habit. In that ecosystem, every digital camera sold was not a new customer, but a self-inflicted wound. Cannibalization wasn’t a theory; it was a line item. The trap wasn’t ignorance. The trap was incentives.

    That’s why Kodak is the right parable for AI, because AI is not arriving as a new feature. It’s arriving as a new business model. And business models don’t politely ask permission.

    Right now, across boardrooms and break rooms, people are having the Kodak conversation in different accents. The manager asks, “If we automate this, what happens to our billable hours?” The engineer asks, “If I ship this tool, am I replacing myself?” The university asks, “If we allow AI, what becomes of learning?” The newsroom asks, “If we use it, what becomes of trust?” Everyone can see the wave. The question is whether they’ll surf it or build a beautiful sandcastle to defend against it.

    Here are four lessons Kodak offers, without the smugness:

    First: treat AI like a redesign of value, not a bolt-on. Kodak tried to attach digital to a film-shaped business. Companies today will try to attach AI to workflows designed for scarcity, scarcity of labor, scarcity of expertise, scarcity of time. But AI manufactures abundance. If you sell scarcity, abundance is existential.

    Second: be willing to cannibalize yourself before someone else does it for you. This is the hardest lesson because it requires leaders to voluntarily shrink the thing that made them powerful. But the alternative is worse: losing the old profit pool and failing to earn the new one.

    Third: build the capabilities you don’t have, not the products you wish you could sell. Kodak could make cameras. The real disruption moved to networks, sharing, feeds, platforms, data. AI has the same twist. The model is impressive, but the moat lives elsewhere: distribution, trust, proprietary data, integrated systems, and the human workflow around the tool. You can’t “purchase” that overnight.

    Fourth: decide what you will be trusted for. In an AI-saturated world, trust becomes the premium feature. A hospital isn’t trusted because it has software; it’s trusted because it is accountable. A law firm isn’t trusted because it can draft fast; it’s trusted because it stands behind the result. If you don’t design for accountability, provenance, review, responsibility, you’ll get speed and lose credibility.

    Kodak’s ending wasn’t simply downfall. It was also narrowing, refocusing, and finding a second life where its strengths still mattered. That’s the hopeful part for AI: you don’t have to “win” the entire revolution to survive it. But you do have to stop pretending the revolution is optional.

    AI will not ask whether your incentives are ready. It will only ask whether your customers are. And if you wait until the answer is obvious, you’ve already become someone else’s Kodak story.

     

    More reading on Kodak: 

    Wharton/Mack – “Kodak’s Surprisingly Long Journey Towards Strategic Renewal”. Start here for a longitudinal view of Kodak’s decline and partial renewal across print, materials, and imaging. 

    LinkedIn – “Kodak’s Strategic Orientation: Lessons of Failure and Revival”. Short, practitioner-style synthesis of failure causes and the post‑2012 pivot. 

    HBS Case – “Kodak: The Rebirth of an Iconic Brand”. Core case on how marketing repositioned Kodak as an iconic, lifestyle-oriented brand on a limited budget. 

    Cogsy – “A Kodak Moment: The Camera Company’s Comeback, Explained”. Accessible explanation of the comeback driven by film’s resurgence, Gen Z adoption, and pop‑culture visibility. 

    Truly Deeply – “Kodak rides the modern nostalgia trend to resurrect its brand”. Branding perspective on “modern nostalgia” and the return to the classic Kodak visual identity. 

    UP THERE, EVERYWHERE – “Case study: Kodak branding for CES and product launch”. Shows how the refreshed narrative (“Life is better with a Smile”) was applied to concrete product launches. 

    Burt Collect – “From Bankruptcy to Comeback: How Film Revived Kodak”. Connects the analog film resurgence directly to Kodak’s financial and cultural revival. 

    Kodak Brand Licensing – “Reto: Bringing Back the Film Camera”. Case on a licensee using Kodak brand + film nostalgia to sell simple cameras to a new generation. 

    Scribd decks – “Revitalizing the Kodak Brand Strategy” and “Kodak’s Brand Rebirth Journey”. MBA-style presentations summarizing brand issues and proposed revival strategies (influencers, UGC, “cool creatives”). 

    Slideshare – “Kodak Case Study: The Rebirth of an Iconic Brand” (2026). Integrates history, failure, and revival into one narrative with standard strategy tools. 

    “Kodak Rebranding Strategy Overview” and “Kodak-Branding Assignment”. Offer proposed positioning statements and campaign ideas. 

     

    Dominic “Doc” Ligot is one of the leading voices in AI in the Philippines. Doc has been extensively cited in local and global media outlets including The Economist, South China Morning Post, Washington Post, and Agence France Presse. His award-winning work has been recognized and published by prestigious organizations such as NASA, Data.org, Digital Public Goods Alliance, the Group on Earth Observations (GEO), the United Nations Development Programme (UNDP), the World Health Organization (WHO), and UNICEF. If you need guidance or training in maximizing AI for your career or business, reach out to Doc via https://docligot.com.

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