Your AI strategy should enhance your value proposition | AI transformation for publishers [Part 3]
Your AI strategy should work to enhance your value proposition

Your AI strategy should enhance your value proposition | AI transformation for publishers [Part 3]

Part 3 is Finally Here!

After 5 long weeks of illness, I’m back with the third edition of my AI readiness series. This journey began to give publishers the tools and case studies they need to evaluate if they’re truly ready to adopt AI.

But before diving in, here’s a quick AI readiness assessment for those who missed Part 2 — a great checkpoint to see where you stand.


The Golden Rule of AI Adoption

Let’s get straight to it. I see countless product and content owners overlooking one simple, intuitive rule when evaluating AI ideas:

An AI idea will only create tangible value if it supports your business’s value proposition.

AI is a tool, not the goal. It’s a means to an end, not the end itself.

This might sound obvious, but time and again, I’ve seen organizations fall into traps that cloud judgment, create confusion, and slow down their AI transformation journey:

?? Common Pitfalls of “Wrong AI Ideas”

  1. The Flashy Syndrome: Someone pitches the latest AI hype — a shiny tool, a big press launch — but no one validates the need.
  2. “AI for the Sake of AI”: Adding AI because “everyone’s doing it” can backfire. Case in point: the Sports Illustrated AI scandal.
  3. “Fear of Missing Out”: Yes, AI adoption matters, but treating it as a panic button dilutes strategy. Remember, AI isn’t a threat — your competition using it smarter is.

Having helped publishers design 600+ AI experiments, I can say this with confidence: Root your AI initiatives in your value proposition. If you don’t, ROI will suffer, adoption will lag, and confusion will reign.


Which AI Use Cases Suit Your Value Proposition?

While there’s no one-size-fits-all playbook, clear patterns emerge. Most publishers today balance multiple value propositions — but let’s focus on the top 5.

1. Speed & Broad Distribution

Fast coverage, massive reach, and real-time updates.

  • Who does this well? Reach PLC (rapid news across UK), CNN (live updates globally).
  • AI Opportunities:Trend detection for breaking news.Automated SEO optimization.AI-powered first drafts reflecting your tone.Cross-platform summarization and distribution.


2. High-Quality, In-Depth Content

Deep reporting and premium analysis.

  • Who does this well? NYT, Financial Times, The Atlantic.
  • AI Opportunities:Advanced research tools (RAG systems).AI for quality assurance to uphold editorial standards.Automated conversion of raw data into readable formats.


3. Hyper-Local or Niche Focus

Building loyalty through targeted, community-driven content.

  • Who does this well? Nextdoor (local neighborhoods), TechCrunch (tech), Eater (dining).
  • AI Opportunities:Content curation tailored to regions or niche audiences.Audience insights through pattern recognition in your data.Interactive tools that directly engage your community.


4. Engaging User Experience & Multimedia Storytelling

Immersive content using videos, graphics, and interactives.

  • Who does this well? Vox Media (explainers), Quartz (interactive formats), AJ+ (social video).
  • AI Opportunities:Personalized storytelling experiences.AI tools for multimedia creation.Visual optimization based on data insights.


5. Data-Driven Personalization

Content tailored to user behavior and preferences.

  • Who does this well? Flipboard (personalized curation), Guardian (custom newsletters), Bloomberg (financial insights).
  • AI Opportunities:Behavioral analysis for tailored content.Predictive tools for emerging audience trends.Personalization engines for seamless, user-centric delivery.


3 Key Essentials Before Launching AI Initiatives

To succeed with AI, keep these essentials in mind:

1. Establish Guardrails

  • Train AI on relevant datasets to reflect your audience and voice.
  • Implement fine-tuning and verification processes to ensure accuracy, responsibility, and brand safety.


2. Keep a Human in the Loop

  • Combine AI’s speed and efficiency with human oversight for accuracy and relevance.
  • Example: Bridged’s editor approval Chrome plugin empowers teams to validate AI outputs and monitor audience feedback seamlessly.

Keep a human in the loop

3. Prioritize Transparency and Ethics

  • Clearly label AI-powered content.
  • Acknowledge potential inaccuracies transparently, as seen with Zeit Online’s “non-zero likelihood of incorrect info” disclaimer.


Ready to Unlock Growth with AI?

If you’re exploring how AI can drive your growth, let’s talk. I’ve worked on 600+ experiments globally and can share actionable insights tailored to your use case.

Interesting resource - Best and worst case of AI-volution for media


About Me

I’m an entrepreneur and media-tech consultant on a mission to level the playing field for publishers. At Bridged Media, we make AI adoption accessible through out-of-the-box agents — no extensive data processing, no dedicated AI teams required.

Oh, and when I’m not doing that, I’m being a full-time parent. ??


What’s your AI readiness score? Let’s connect and make AI work for you, not against you. ??


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