Category: Thought Leadership

  • You Ask, I Answer: Automating LinkedIn Content Workflows?

    Summary In today's episode, I break down how to automate your LinkedIn content workflow while maintaining high quality. Here's what this means for you. You save time on content production without sacrificing your unique thought leadership. You'll also learn these concepts: the difference between deterministic and probabilistic tasks, how to integrate various AI models through…

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  • You Ask, I Answer: Using AI For Critical Thinking?

    Summary In today's episode, I explain how to use AI as a thought partner to sharpen your critical thinking rather than offloading your intelligence to it. Here's what this means for you. You build lasting professional value by using AI to enhance your skills instead of replacing them. You'll also learn these concepts: the four…

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  • How To Use Generative AI to Land Your Next Job, Part 5

    Summary In today's episode, I wrap up a five-part series on using generative AI to advance your career by covering what to do when you don't land the job after interviews and how to turn that effort into a long-term personal brand. Here's what this means for you. You gain a way to transform rejection…

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  • You Ask, I Answer: Generative AI For Developing Thought Leadership?

    Summary In today's episode, I explore how to build frameworks for developing thought leadership concepts with the help of AI. Here's what this means for you. You discover that a strong personal point of view drives everything, and AI simply packages the thinking you already have. You'll also learn these concepts: why a framework acts…

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  • Mind Readings: 2007 Podcast Marketing Video Reaction Part 3/4

    Summary In today's episode, I revisit podcast marketing tactics from a 2007 talk and contrast them with what actually works in today's landscape. Here's what this means for you. You get a clear-eyed look at which classic strategies still hold up and which ones are now obsolete or even risky to attempt. You'll also learn…

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  • You Ask, I Answer: AI Overreliance In Business?

    Summary In today's episode, I explain why businesses over-rely on AI for content creation and how this practice produces generic, mediocre output. Here's what this means for you. You can stand out from competitors by understanding that large language models are probability engines that average content rather than magically generate unique ideas. You'll also learn…

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  • You Ask, I Answer: Why Representation Matters?

    Summary In today's episode, I break down what representation truly means and why it matters far beyond surface-level diversity. Here's what this means for you. You'll discover how seeing people like yourself in positions of power unlocks potential you might not have known existed for you. You'll also learn these concepts: how diverse representation signals…

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  • You Ask, I Answer: Great Thought Leadership?

    Jerry asks, “What makes for really good thought leadership?” Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video. Christopher Penn 0:00 In today’s episode…

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  • Mind Readings: Establishing Thought Leadership With Speed

    Summary In today's episode, I break down what thought leadership really means and how you can build mind share using four proven principles of memory. Here's what this means for you. You can become the go-to authority in your industry by getting correct information out faster than your competitors and leveraging how human memory actually…

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  • Mind Readings: Beware Blanket Trust of Thought Leaders

    Be careful when extending trust to thought leaders outside of their domain of expertise. Make sure they have earned that trust by being transparent about their sources and citing them when appropriate. Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Machine-Generated Transcript What follows is…

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