Problem: If you missed it last week, there two huge announcements in the space of AI copywriting and permissions. First, OpenAI and the Associated Press reached an agreement to share access to select news content and technology. Second, OpenAI and Shutterstock also reached a deal that was even more mutually beneficial. See below for a great explanation of it:
This expanded partnership between Shutterstock and OpenAI is a big step for both companies. By providing OpenAI with increased access to its massive content libraries, Shutterstock has cemented its position as a top source of high-quality training data for AI models. In exchange, Shutterstock gains priority access to OpenAI's latest generative AI tech, like DALL-E image generation, which it plans to integrate into its platforms. Together they aim to bring creative AI capabilities to both professional creators and everyday mobile users. While Shutterstock could attempt to fight the emergence of AI art to preserve their business model, they’re choosing to embrace and adapt to the technology instead, which will likely play out well for them in the long-term.
So what if a business specialized in helping old, legacy companies like these expand their business models through AI licensing? This business would create a new form of digital asset management on-par with financial asset management.
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Solution: This business would manage any digital assets that could be used as training data for machine learning models. From managing old public-facing newspaper code, to patents, to images, to video, and more. The aim would be to re-define the thinking for digital assets so that people treat them with as much reverence as real currency. Would you let someone borrow a dollar from your bank account and use it to generate revenue without your permission? Likely not. So why would you do that with your data?
I asked ChatGPT to turn this thought into a whole business idea:
Introducing "Archive Assets Solutions" (AAS)
AAS is a groundbreaking net-new company that specializes in Legacy Licensing as a service. We partner with legacy companies or brands that possess extensive archives, allowing them to capitalize on their vast resources and turn them into valuable training data. By leveraging cutting-edge AI technologies, AAS enables these companies to unlock transformative possibilities in content creation, ideation, and monetization.
Our strategic collaboration with industry leaders in generative AI, such as OpenAI and Shutterstock, positions AAS as the go-to data and distribution partner for brands, digital media, and marketing companies seeking to harness the power of AI and maximize the value of their legacy assets.
Key Features and Services:
Licensing and Monetization: AAS facilitates the licensing and monetization of legacy content archives for AI training purposes. We secure licensing agreements between legacy companies and AI technology providers, ensuring fair compensation for content creators.
Training Data Optimization: Our team of AI experts works closely with legacy companies to extract and optimize training data from their extensive archives. By curating, annotating, and preparing the data, we enhance its quality and relevance for AI models, enabling more accurate and powerful generative AI capabilities.
AI Integration: AAS seamlessly integrates generative AI capabilities into existing platforms and workflows. Through partnerships with AI technology providers like OpenAI, we enable brands, digital media, and marketing companies to leverage AI-powered content creation, editing, and transformation tools.
Ideation and Production Acceleration: By providing synthetic editing capabilities, AAS empowers users to expedite ideation and production processes. Our AI tools allow users to not only create new content but also edit and transform existing images, videos, and music from vast archives, catalyzing creativity and productivity.
Mobile Accessibility: AAS collaborates with platforms such as GIPHY to bring generative AI capabilities to mobile users. Through our partnerships, we extend the reach of AI-powered content creation and expression, allowing users to engage with visual media in novel and exciting ways.
Standards and Ethics: AAS prioritizes responsible AI use and adherence to industry standards. We actively participate in discussions around generative AI and collaborate with organizations like The Associated Press to ensure ethical practices, IP protection, and fair compensation for content creators.
At Archive Assets Solutions, we believe that the untapped potential of legacy archives combined with AI technologies can revolutionize content creation, enhance user experiences, and unlock new revenue streams. Our mission is to empower legacy companies to transform their archives into valuable assets in the AI era.
Contributed by: Michael Bervell (Billion Dollar Startup Ideas)