Generative AI Update - What the Latest Model Wars Mean for Marketers
Artikel konnten nicht hinzugefügt werden
Der Titel konnte nicht zum Warenkorb hinzugefügt werden.
Der Titel konnte nicht zum Merkzettel hinzugefügt werden.
„Von Wunschzettel entfernen“ fehlgeschlagen.
„Podcast folgen“ fehlgeschlagen
„Podcast nicht mehr folgen“ fehlgeschlagen
-
Gesprochen von:
-
Von:
Über diesen Titel
The generative AI landscape has shifted again, and at speed. In this update episode, Daniel Rowles breaks down a rapid sequence of releases from OpenAI and Google, explaining what has actually changed, what genuinely matters, and how marketers and business leaders should respond.
Covering everything from ChatGPT 5.x and Gemini 3 through to image generation breakthroughs, AI-powered apps, and the rise of accessible 'vibe coding', this episode is a practical briefing rather than hype-driven commentary. Daniel focuses on real-world capability, usability, and where these tools are already changing how marketing teams work, build, and analyse.
Rather than asking which model is "winning", the episode reframes the question around task-based selection. Different tools now excel at different jobs, from coding and image editing to workflow automation and reporting. Understanding those strengths is quickly becoming a competitive advantage
In This EpisodeHow the AI model race intensified between OpenAI and Google at the beginning of 2026
What actually changed with ChatGPT 5.1 and 5.2, beyond the headline claims
Why Gemini 3 represents a major leap in reasoning and coding capability
How image generation tools have crossed a new threshold in photorealism and editing
What Nano Banana Pro means for branded, on-style visual creation
Why ChatGPT connectors becoming "apps" is more important than it sounds
How tools like Canva, Adobe, and Figma now integrate directly into AI workflows
What vibe coding really is, and why it matters for non-technical marketers
How canvas mode transforms the way code, content, and interfaces are created
Why AI-powered browsers and agent modes could redefine reporting and analysis
Key TakeawaysNo single AI model is best at everything, and choosing by task is now essential
Image editing and brand-consistent visuals are becoming dramatically more accessible
Marketers can now create interactive tools and content without traditional development
AI-assisted coding is shifting from novelty to practical everyday use
Workflow automation and reporting are emerging as some of the biggest wins
Understanding interfaces and deployment matters as much as model intelligence
📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/generative-ai-update-what-the-latest-model-wars-mean-for-marketers
