Remember when OpenAI’s GPT-3 or Google’s Gemini hit the scene? These AI models can write essays, answer questions, and even do coding. It’s like having a super assistant that never gets tired.
The big question is - Can these AI models deliver powerful thought leadership content as a service?
Now, the reason we are fixated on thought leadership content in particular is because it drives 60% of buying decisions and has got 70% of C-Suite Execs raving about it.
Traditionally, this has been the domain of seasoned experts and industry gurus. But with AI stepping into the ring, it has basically become anyone’s game!
Or has it? Let’s dig.
The Thought Leadership Challenge
Companies like Jasper and Copy.ai are leveraging AI to help create content faster and with remarkable quality. They’re already being used to generate marketing materials, blog posts, and social media updates.
But can AI produce content that’s not just good but actually thought-provoking and authoritative?
Thought leadership is a subject that requires a deep understanding of the industry and a unique voice that resonates with the audience. It’s about authenticity and real-time examples which often stem from years of experience and a genuine passion for the subject matter.
AI's Capabilities and Limitations To Deliver Thought Leadership Content as a Service
AI models, with their vast data training, can certainly mimic the style and structure of thought leadership articles. They can gather and converge information from countless sources and present them in a polished manner. This capability is incredibly useful for generating content quickly and efficiently.
However, true thought leadership goes beyond well-crafted words.
Over 75% of consumers are concerned about misinformation from AI.
AI, in its current state, lacks the ability to fully grasp the nuances of human emotions, experiences, and intuition.
It can analyze data and present logical conclusions, but it cannot genuinely understand or feel the implications of those conclusions.
This is where human expertise still reigns supreme.
Artificial Intelligence X Human Intelligence
In the hybrid approach, AI can serve as a valuable tool for human writers.
By handling the heavy lifting of research and initial ideation, AI allows human experts to focus on refining thought leadership content, adding their unique insights, and ensuring the final piece truly embodies the essence of thought leadership.
One great example of AI X HI convergence is LinkedIn’s machine learning training strategy.
It is utilizing the expertise of seasoned writers and leaders from all around the world to train its machine learning algorithms by contributing to AI written articles. The goal is to make AI generated posts, articles, and updates so contextually aware that it becomes more and more refined or human-like. The contributors then get a top voice badge as a reward too.
The Future is in Symbiosis
So, while AI is making significant strides in content creation, it’s not quite ready to take over the thought leadership framework. The magic happens when AI and human expertise come together, each complementing the other’s strengths.
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