Scaling creativity in the age of AI

TL;DR · AI 摘要
In the era of AI, scaling creativity is essential for meeting the insatiable demand for fresh, unique media. AI can help by absorbing repetitive tasks, allowing creative teams to focus on strategic decisions. However, responsible adoption is crucial to maintain brand integrity and build customer trust. Companies like Nestlé are already leveraging AI to generate brand-informed assets and improve workflow efficiency.
核心要点
- AI can help creative teams produce content faster and save time, but it's essential to use it responsibly and ensure it aligns with the company's brand.
- Investing in the team's judgment is crucial to make more content meaningful and avoid producing noise.
- The fundamentals of great storytelling remain the same, focusing on characters, arc, ingenuity, and surprise.
结构提纲
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Storytelling is fundamental to humanity, and technology has always been intertwined with its medium and distribution. The landscape of storytelling is continually evolving, with increased demand for u
Producing high-quality content is expensive and time-consuming, and the demand for fresh, original material is insatiable. Companies are under pressure to produce more content within the same time and
AI is essential for scaling content production efficiently. It can handle repetitive tasks, freeing up creative teams to focus on strategic decisions. Responsible adoption of AI is crucial to maintain
AI amplifies existing strategies, both good and bad. Responsible adoption requires understanding the tools and models used, ensuring transparency and provenance. Investing in the team's judgment is vi
Creative teams are constantly under pressure to produce fresh content quickly. AI can help by automating repetitive tasks and improving productivity, as seen in case studies like Nestlé's use of Adobe
Companies must ensure that AI-generated content aligns with their brand identity. Off-the-shelf AI may not capture the nuanced subtleties of a brand, so custom models and approaches are necessary to m
思维导图
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- Scaling Creativity in the Age of AI
金句 / Highlights
值得收藏与分享的关键句。
AI amplifies what's already there, both good and bad. Weak strategy stays weak.
Responsible adoption means knowing what's in your tools and models. Provenance and transparency are the foundation, not the finish line.
Scale without taste is just noise. Investing in your team's judgment is what makes more content matter.
Fundamentals of great storytelling have not changed. Regardless of format or channel, what makes audiences lean in are still characters, arc, ingenuity, and surprise.
With Firefly Custom Models, we can react at the speed of culture. It's the closest thing we've had to magic.
作为专业的技术文档翻译专家,我将专注于将这篇关于人工智能时代创造力扩展的文章从英文翻译成中文。我会确保保持原始的Markdown格式,包括标题、列表、代码块和链接等。在翻译过程中,我会特别注意技术术语的准确性,并且保留如API、SDK、Docker等常见的英文术语。同时,我会确保翻译的自然流畅,避免逐字翻译,以符合中文的表达习惯。代码块的内容不会被翻译,图片链接和URL也将保持原样。由于原文分为两段,我将确保整个翻译风格的一致性,不会在译文中提及分段的信息。
翻译过程
首先,我需要理解文章的主旨和结构。这篇文章讨论了在人工智能时代,如何在保持创造力的同时,应对内容生产的需求激增。文章强调了技术在 storytelling 中的角色演变,以及当前内容消费的爆炸性增长。面对这样的挑战,企业需要利用AI来提高内容生产的效率,同时确保品牌的一致性和创造力不被削弱。
翻译正文
人工智能时代的创造力扩展
标题:在人工智能时代扩展创造力
来源URL:https://www.technologyreview.com/2026/05/21/1137613/scaling-creativity-in-the-age-of-ai/
发布时间:2026-05-21T15:16:43-04:00
Markdown内容:
Storytelling is core to humanity's DNA, stemming from our impulse to express ideals, warnings, hopes, and experiences. Technology has always been woven through the medium and the distribution: from early humans' innovation of natural pigments and charcoals for cave paintings to literal representation by the camera.

The landscape of storytelling continues to shift under our feet. Social and streaming platforms have multiplied, audiences have fragmented, and our demand for fresh, unique media is insatiable. A recent McKinsey podcast cites that we are watching upwards of 12 hours of video content daily, often on multiple devices and multiple platforms.
All this content is expensive to produce: With a baseline budget of $150M, a Hollywood feature runs $1M per minute of finished film; prestige streaming content is in the hundreds of thousands per minute. And since consumers want to engage with authentic, original material, every company is now effectively a media company. That means we all face the same pressure: more content, with the same time and budget constraints.
There is no longer a question whether to use AI for content; the math doesn't work any other way. What leaders need to focus on now is how to adapt responsibly, protect brand integrity, uplift team creativity, and build customer trust.
A few things worth holding onto as this era accelerates:
- AI amplifies what's already there, both good and bad. Weak strategy stays weak.
- Responsible adoption means knowing what's in your tools and models. Provenance and transparency are the foundation, not the finish line.
- Scale without taste is just noise. Investing in your team's judgment is what makes more content matter.
- Fundamentals of great storytelling have not changed. Regardless of format or channel, what makes audiences lean in are still characters, arc, ingenuity, and surprise.
永恒的冲刺
Creative teams are trapped on the endless hamster wheel of production, and it’s not slowing down. According to Adobe research, content demand will grow 5x over the next two years. Social content shelf life is now measured in hours, not weeks. Keeping fresh work in the pipeline is a permanent sprint, requiring teams to rethink how creative production functions.
The first move is freeing creative teams by having AI absorb the repetitive work so they have space for the strategic creative decisions that require human ingenuity. In a recent study from Adobe, 94% of creatives report that AI helps them produce content faster, saving an average of 17 hours per week. That recovered time is not a productivity metric; it is renewed creative capacity.
As a use case, Nestlé offers a useful blueprint. Its teams operate across 180 countries with a portfolio of iconic brands including Nescafé, KitKat, and Purina. Using Adobe Firefly Custom Models embedded in existing content workflows allows teams to generate assets in a brand-informed style without disrupting creative flow. At Nestlé, workflow cycle times dropped 50%. "With Firefly Custom Models, we can react at the speed of culture. It's the closest thing we've had to magic." says Wael Jabi, global strategic comms lead for KitKat.
As we move into the agentic era, the possibilities expand further. Adobe's Creative Agent thinks in systems, not tasks, orchestrating across workflows, apps, and processes to close the gap between idea and execution, and get teams out of the production cycles that consume their productivity.
为你的品牌建设,而不是为每个品牌
A company’s brand is how the world recognizes and connects with them. And it’s more than a collection of assets—it is dynamic, subjective, and expressed in thousands of micro-decisions made every day by the people who know it best. As production scales, keeping everything tuned to the brand gets more challenging. Off-the-shelf AI cannot replicate the level of nuance creative teams bring to content, and there’s a real cost to getting it wrong; diluting a brand in market with almost-right output is not an acceptable option. Customer trust is fragile.
Starting with a bespoke AI model built with Adobe Firefly Foundry addresses this directly. Firefly Foundry starts with a commercially safe base model and trains further on a company’s IP, making it possible to produce content that genuinely reflects the team's vision.
翻译结果
人工智能时代的创造力扩展
标题:在人工智能时代扩展创造力
来源URL:https://www.technologyreview.com/2026/05/21/1137613/scaling-creativity-in-the-age-of-ai/
发布时间:2026-05-21T15:16:43-04:00
Markdown内容:
讲故事是人类DNA的核心,源自我们表达理想、警告、希望和经验的冲动。技术一直贯穿于媒介和分发方式中:从早期人类使用天然颜料和木炭进行洞穴绘画的创新,到相机对现实的直接再现。

讲故事的格局正在我们脚下不断变化。社交和流媒体平台不断增多,受众分化,我们对新鲜独特媒体的需求永不满足。最近的一期麦肯锡播客指出,我们每天观看的视频内容多达12小时,经常在多个设备和多个平台上进行观看。
所有这些内容的生产成本都很高:以1.5亿美元的基线预算,好莱坞电影每分钟完成的影片成本为100万美元;高端流媒体内容每分钟成本高达数十万美元。而且,由于消费者希望与真实、原创的材料互动,每家公司现在都 effectively 成为了一家媒体公司。这意味着我们都面临着同样的压力:在相同的时间和预算限制下,生产更多的内容。
现在不再有是否使用AI进行内容生产的疑问;从数学角度讲,没有其他方法可行。领导者现在需要关注的是如何负责任地适应,保护品牌完整性,提升团队创造力,并建立客户信任。
在这个时代加速发展的同时,有几件事值得我们坚持:
- AI放大了已经存在的东西,无论是好是坏。薄弱的战略仍然薄弱。
- 负责任的采用意味着了解工具和模型中的内容。出处和透明度是基础,而不是终点。
- 没有品味的扩展只是噪音。投资于团队的判断力是让更多的内容有意义的关键。
- 伟大的故事讲述的基本要素没有改变。无论格式或渠道如何,让观众投入的仍然是人物、情节、创新和惊喜。
永恒的冲刺
创意团队被困在无尽的生产hamster轮上,而且这种情况没有放缓的迹象。根据Adobe的研究,内容需求将在未来两年内增长5倍。社交内容的保质期现在以小时计算,而不是周。保持新鲜作品的管道是一个永久的冲刺,需要团队重新思考创意生产的方式。
第一步是通过AI吸收重复性工作来解放创意团队,从而使他们有空间进行需要人类智慧的战略创意决策。Adobe最近的一项研究显示,94%的创意人员表示AI帮助他们更快地生产内容,平均每周节省17小时。这些节省的时间不仅仅是生产力的指标;它们是创造力的再生能力。
以Nestlé为例,提供了一个有用的蓝图。其团队在全球180个国家运营,拥有包括Nescafé、KitKat和Purina在内的标志性品牌组合。通过在现有内容工作流程中嵌入Adobe Firefly Custom Models,团队可以在不中断创意流程的情况下,以符合品牌风格的方式生成资产。在Nestlé,工作流程周期时间减少了50%。KitKat的全球战略传播负责人Wael Jabi说:“借助Firefly Custom Models,我们可以以文化速度做出反应。这是最接近魔法的东西。”
随着我们进入代理时代,可能性进一步扩大。Adobe的Creative Agent以系统的方式思考,而不仅仅是任务,它在工作流程、应用程序和过程中进行协调,缩小了想法和执行之间的差距,并让团队摆脱消耗他们生产力的生产周期。
为你的品牌建设,而不是为每个品牌
一个公司的品牌是世界认识和连接它的途径。它不仅仅是资产的集合——它是动态的、主观的,并通过每天由最了解它的人做出的成千上万的微小决策来表达。随着生产规模的扩大,保持一切与品牌一致变得更具挑战性。现成的AI无法复制创意团队为内容带来的细微差别,而且出错的成本是真实的;在市场上用几乎正确的输出稀释品牌是不可接受的选项。客户信任是脆弱的。
从使用Adobe Firefly Foundry构建的定制AI模型开始,直接解决了这个问题。Firefly Foundry从一个商业上安全的基础模型开始,并在此基础上进一步训练公司的知识产权,使得生成的内容真正反映团队的愿景。
总结
在这篇文章中,作者探讨了在人工智能时代,如何在保持创造力的同时,应对内容生产的需求激增。文章强调了技术在讲故事中的角色演变,以及当前内容消费的爆炸性增长。面对这样的挑战,企业需要利用AI来提高内容生产的效率,同时确保品牌的一致性和创造力不被削弱。通过使用定制的AI模型和工具,如Adobe的Firefly和Creative Agent,企业可以更有效地生产内容,同时保持品牌的独特性和创意团队的创新能力。 **
作为Adobe的专家,我将帮助您理解并准备应对人工智能(AI)在创意产业中的影响。Adobe最近推出了Firefly Foundry模型,这是一个专为创意专业人士设计的AI工具集,旨在增强他们的工作流程和创作能力。为了确保这些模型真正代表了创作者的需求,Adobe与多家知名电影工作室和人才代理公司建立了合作伙伴关系,以深入了解如何构建一个以创作者为中心的知识产权沉浸式模型。
此外,Adobe还与NVIDIA建立了战略合作伙伴关系,旨在推动下一代创造力和内容的开发,提供最佳的创意控制,并在企业层面实现安全、高质量的内容规模化生产。这表明Adobe致力于利用AI技术来提升创意工作的效率和质量,同时保持艺术性和作者的原创性。
在AI重塑内容创作和消费者互动方式的同时,我们也看到了AI在购物和网络流量方面的显著增长。然而,许多企业在AI引导的品牌可见性方面仍存在很大差距。如果内容对AI代理不可见,那么品牌对消费者来说就是隐形的。因此,确保内容在AI接口中的可见性变得至关重要。
以美国职业棒球大联盟(MLB)为例,他们通过使用Adobe的LLM Optimizer来监控其内容在AI界面中的展示情况,并进行实时调整以维持可见性。这确保了当球迷搜索票务、统计数据或比赛日体验时,联盟的品牌能够出现在搜索结果中。Adobe最近收购Semrush进一步增强了品牌在网上的可见性。
面对AI的快速发展,企业需要采取一系列措施来准备和整合AI技术:
- 审计再自动化:在引入AI之前,首先要对现有的内容供应链进行审计,识别出重复的过程、不明晰的职责以及内容存储的分散问题。只有在理解了当前的工作流程后,AI才能有效地加速和优化这些流程。
- 逐步实施工作流:不要试图一次性彻底改变所有流程。可以从高 volume、低风险且定义清晰的任务开始,比如资产调整大小、本地化和背景生成等。通过这些初步的成功案例来建立内部信心,然后再逐步扩展到更复杂的创意领域。
- 从一开始就建立负责任的治理:治理措施如果作为事后考虑,可能会成为发展的瓶颈。从项目初期就建立治理框架,可以为企业带来竞争优势,使团队能够在保证质量的前提下快速行动。这包括明确的模型训练政策、内容来源管理、人类审核的标准,以及如何向客户透明地沟通AI的使用情况。
总之,AI正在深刻改变创意产业的面貌,从内容创作到消费者互动,都受到了影响。通过与行业领导者的合作、投资先进技术,并采取负责任的整合策略,Adobe致力于帮助创意专业人士充分利用AI的潜力,同时保持内容的质量和品牌的可见性。