AI and Creativity: How Brands Are Adapting

Storytelling in the Age of Artificial Intelligence

Since the dawn of humanity, storytelling has been a fundamental means of expressing ideas, warnings, hopes, and experiences. Technological advancements have always played a crucial role in how these stories are told and disseminated. From the natural pigments used by early artists for cave paintings to the invention of the camera, each innovation has transformed our way of communicating.

Today, the landscape of storytelling is undergoing a significant transformation. With the proliferation of social and streaming platforms, audiences have fragmented, and the demand for new and original content is stronger than ever. According to a recent McKinsey podcast, we spend an average of over 12 hours a day consuming video content, often across multiple devices and platforms simultaneously.

Producing all this content comes at a considerable cost. A typical Hollywood film, with a base budget of $150 million, costs about $1 million per finished minute of film. Prestige streaming content also incurs high production costs, amounting to hundreds of thousands of dollars per minute. Faced with a growing demand for authentic and original content, every company finds itself having to operate like a media business, confronted with the same time and budget constraints.

The Inevitable Integration of AI in Content Production

The question is no longer whether artificial intelligence should be used for content creation, but how to integrate it responsibly. Leaders must now focus on adapting their strategies to protect brand integrity, foster team creativity, and build consumer trust.

Key Points for Navigating This New Era

• AI amplifies existing strengths and weaknesses. A mediocre strategy will not improve simply because of AI.

• Responsible adoption. It is crucial to understand the tools and models being used. Transparency and provenance must be the foundations of any AI strategy.

• Invest in human judgment. Producing more content indiscriminately only generates noise. The value lies in the teams' ability to create meaningful content.

• The fundamentals of storytelling remain unchanged. Regardless of the format or channel, what captures audience attention are characters, narrative arcs, ingenuity, and surprise.

A Frenzied Race to Meet Demand

Creative teams find themselves in an unending race to produce more content. According to an Adobe study, the demand for content is expected to grow fivefold over the next two years. The lifespan of content on social media is now measured in hours, not weeks. To remain competitive, teams must rethink their production methods.

The first step is to free creative teams from repetitive tasks, allowing AI to handle these aspects. This enables them to focus on strategic creative decisions that require human ingenuity. A recent Adobe study reveals that 94% of creatives believe AI helps them produce content faster, saving an average of 17 hours per week. This reclaimed time is not just a measure of productivity but an opportunity to renew creativity.

A notable example is Nestlé, which operates in 180 countries with iconic brands such as Nescafé, KitKat, and Purina. By integrating Adobe Firefly Custom Models into their workflows, Nestlé teams can generate assets in line with brand style without disrupting the creative process. Thanks to this technology, work cycle times have been reduced by 50%. Wael Jabi, Global Strategic Communications Lead for KitKat, describes this advancement as "the closest thing to magic we've ever had."

Building a Unique Brand in the Age of AI

A company's brand is much more than just a collection of assets. It is dynamic, subjective, and manifests through thousands of micro-decisions made daily by those who know it best. As production accelerates, maintaining brand consistency becomes a significant challenge. Off-the-shelf AI solutions cannot replicate the nuance that creative teams bring to content, and a mistake can be costly. Diluting a brand with rough content is not a viable option.

To address this challenge, Adobe offers the Firefly Foundry, a custom AI model that starts with a commercially safe base model and then trains on the company's intellectual property. This allows for the production of content that truly reflects the team's vision.

To ensure that Firefly Foundry models accurately represent creatives, Adobe has partnered with film studios such as Wonder Studios, Promise.ai, and B5 Studios, as well as the "big three" talent agencies CAA, UTA, and WME. These collaborations aim to gain a deep understanding of what it takes to build an immersive intellectual property model while keeping creatives at the center of the process.

Preparing for AI Integration in Creative Processes

To effectively integrate AI, here are some steps to follow:

• Audit before automating. Content supply chains often involve duplicated processes and scattered assets. Before accelerating anything with AI, it is essential to clearly map the content flow within the organization.

• Optimize workflows. Avoid overhauling everything at once. Start with high-volume, low-stakes, well-defined production tasks, such as resizing assets or localization. Use these successes to build internal confidence before venturing into more complex creative territories.

• Establish responsible governance from the outset. Adding governance afterward can create bottlenecks. By building it from the beginning, you create a competitive advantage that allows teams to move forward quickly with confidence. This involves clear policies on model training, content provenance, and communicating AI usage to clients. Brands that will gain lasting trust will treat transparency as an essential feature, not just a footnote.