Strategic Advisor & Board Member | Driving Innovation & Tech Transformation in Media & Adjacent Sectors | Expert in Strategy Development & Execution, & Governance
The use cases for #genAI are more obvious in some sectors than others. ✳ In content creation and distribution (media, advertising, marketing, and software) the use cases are the most obvious of all. ✴ Research by #UChicago and Statistics Denmark (https://shorturl.at/Fz6t7) explored how different occupations have adopted ChatGPT. ✳ Usage is highest among marketing professionals, journalists and software developers (100k workers across 11 occupations surveyed Nov 23 - Jan 24). 🥇 My take: media's gold medal for adoption reflects scars from the transition to #digitalmedia. They learned it's critical to lean in early to #techdisruption, rather than wait and see. Thanks to Ethan Mollick’s excellent One Useful Thing (https://shorturl.at/jM5qU) for flagging this.
Cool insights!! I’m very curious about how quickly Tier 1 publishers will truly adopt and integrate GenAI into their processes. Given the rapid advancements, it seems that concerns about quality, which have traditionally slowed down adoption, will soon be less of a barrier. Some videos and images are already incredible to my mind! Let’s see how leading publishers balance innovation with their longstanding editorial standards. In the fast-paced landscape of digital media, waiting too long could mean missing out on the significant efficiencies and creative possibilities that AI offers - but let’s also see how users really react to AI content 🤷♂️ hopefully even more engaged than ever before!
the real question for media producers is this: If content becomes even more of a commodity, to the point it's effectively "free" to generate. How are you going to differentiate yourself? I wouldn't be surprised if the rise of AI also gives rise to "human only" journalism, focused even more on providing an individual opinion and perspective.
My sense is that content creation adoption is the most easy to get a journalist’s head around; but there are so many copyright problems with using third-party proprietary platforms that as literacy around distribution and production workflows increases, that will become the focus.
Totally agree with you Lucy Kueng (Küng). Super interesting insights, thank you!
Lucy Kueng (Küng) thanks for sharing this. When the web first came along, the media industry was the first to be impacted. In the age of AI it is still one of the first! The big difference is in the past content creators were big and few.
I’m worried about how lightly and at times enthusiastically, some media people talk about AI generated content for audience consumption, ignoring the threat of lack of differentiation vs MFAs and the damage done to the category by commoditisation in other contexts.
That's very useful - and from a journalism point of view it's encouraging - I think...
Thanks for the insightful stats, Lucy
Expert for applied media and communications, cultural journalist, professor. Award-winning for Indo-German cooperation. I connect people in organizations with cultural techniques and transdisciplinary knowledge.
6mo1/2 Thanks for flagging this interesting blog article with a quick overview of how genAi and ChatGPT evolve. I would view AI industrialization and the next stress test for journalism and media companies a little differently. Individual journalists have already been working with AI applications in multimedia productions and data stories for more than ten years, and it is an organic next step to integrate LLMs and GenAI into workflows for specific tasks in recent times. However, we would need to analyze exactly to what extent the small sample, limited to Denmark, is freelance, individual journalists or entire editorial teams, and what the situation is elsewhere. And it always makes sense to say exactly what GenKI and AI are used for and where.