Intro: The Core Question
Artificial intelligence is a powerful tool that’s useful for speed and support, not for opinions and authority. There’s a difference between thought leadership and commodity content.
- Thought leadership consists of an original POV + experience + evidence + consequences. It requires the perspective of a highly experienced subject matter expert.
- Commodity content refers to basic, superficial content such as summaries and checklists. Just about anyone can write commodity content, which is often forgettable.
AI works well as a research assistant. It can help you clarify ideas, shorten the time spent writing and the time needed for research, but it can’t prepare thought leadership content from start to finish. Only you can do that.
Quick Decision Framework: Should You Use AI Here?
A decision framework provides clarity on whether you should use AI when you write thought leadership content. Follow a simple scoring/checklist. For example:
- Do you have a real POV? If you haven’t defined your point of view, AI won’t invent it for you. Your POV depends on your unique experience and perspective.
- Do you have proof? Provide proof to support your POV. This can include operator experience, customer stories, data, etc.
- Is accuracy high stakes? Depending on your industry, the stakes may be high when it comes to accuracy. Controls are especially strict in industries such as finance, health and legal.
- Is your voice a differentiator? The brand voice must provide fresh insights, stay human-led and not sound robotic.
- Is the task repetitive? Routine and repetitive tasks can be handled by AI, freeing you up to handle more complex tasks.
A good rule of thumb is the best use of AI is only a research role or for supporting work. Only humans should be in charge of a thesis, arguments, examples and the final edit.
Where Generative AI Fits in Content Marketing
There are a variety of simple tasks that generative AI can complete more quickly than you can on your own. It can generate alt tags and it can generate meta descriptions or keyword focused summaries. Other tasks AI models can do include:
- Outlining
- Idea generation
- Assisting with research and organizing notes
- Summarizing interviews and transcripts of webinars
- Repurposing content for different formats or audiences
- Generating different variations of headlines
- Improving structure and readability
These tasks are necessary for your digital marketing strategy, but doing them manually can take too much of your time. This is efficiency work, not authoritative thought leader work.
Where AI Does Not Belong in Thought Leadership
The actual thinking behind thought leadership has to come from humans. Problems with using AI-generated content as thought leadership include issues such as:
- Generative AI doesn’t have the emotional depth needed in personal connection, because it has no lived experience.
- AI can’t have very strong opinions and is likely to take a neutral stand that doesn’t challenge anything.
- It’s a well-known issue that when AI doesn’t find the answer it’s looking for, it has hallucinations or subtle factual errors.
- Phrasing may resemble other published content too closely, leading to accidental plagiarism.
If your content creation sounds automated, it can damage trust in your brand. If the piece includes strong opinions, the writer must have real-world justification and a human voice.
A Responsible AI-Assisted Workflow
As part of your content strategy, a successful content creator benefits from a step-by-step process that they can follow. Here are some examples of what should be included:
1. Define audience and “so what” outcome. Have clarity on what you want your reader to believe or do.
2. Write thesis and 3 supporting points. Present your human insights backed up with your research.
3. Use AI to collect supporting materials. This can greatly reduce the amount of time needed to gather information, but don’t settle for invented facts. Make sure to double-check everything.
4. Prepare your draft using human examples. Use little personal stories and examples such as mistakes, wins, client patterns and observed tradeoffs.
5. Verify claims. Run fact-check and source verification for every claim that isn’t clearly an opinion.
6. Humanize and sharpen voice. When revising, add personal experience and specificity while removing filler.
7. Final editorial review. Do a final review of writing content to check for brand voice, compliance and accuracy.
There are a couple of hard rules that should always be included in your AI-assisted workflow. These include:
- Don’t paste confidential info into public AI tools.
- Don’t publish AI claims without verification.
Editing Checklist: How to Humanize AI-Assisted Drafts
It’s imperative that every AI-assisted thought leadership draft is carefully edited by a human. Things that should be in your editing checklist include:
- Replace generic lines with specific stories. These details individualize your content.
- Add numbers or observed patterns. Numbers add specificity. For example, instead of saying “In client calls…” say “even “in 12 client calls…”
- Insert tradeoffs. When you specify tradeoffs such as what you gave up and what you gained, it provides clarity.
- Remove “fluffy transitions”. Excessive words that add no real value can hide the core message.
- Call to action. Ensure the ending has a clear recommendation and that the reader knows exactly what their next action should be.
Read-aloud test: Reading your final draft aloud is a good way to make sure your content sounds like a person, not a template.
Prompt Pack: Safe Prompts for Thought Leadership
A good way to approach thought leadership drafts is by providing 5–7 prompts writers can copy. Prompts should be focused on ideation, research or repurposing. Examples include:
- “List 10 common misconceptions that [persona] believes about [topic]. For each, suggest a contrarian angle.”
- “Turn these raw notes into 5 possible theses. Each thesis must include a tradeoff.”
- “Create an outline that forces specificity: include ‘proof’ placeholders and ‘story’ placeholders for every section.”
- “What objections would a skeptical CFO have to this argument? Give the top 7.”
- “Repurpose this article into 3 LinkedIn posts, 1 newsletter intro, 5 hook options.”
- “Identify claims in this draft that require verification and label them high/medium/low risk.”
Conclusion: The Balance
AI can effectively assist in the writing process of thought leadership articles, but it can’t replace your individual perspectives. Large language models can’t replicate human creativity. Things to always keep in mind include:
- Use AI to complete tasks faster, not to sound smarter.
- The credibility people seek in your content comes from human judgment, experience, and proof.
Need help with creating consistent thought leadership content that drives business growth and expands visibility? Reach out to Thought Marketing Agency today.
