Insights

My Perspective on Original Writing, Content & Strategic Communications in the Age of AI


Drawing on four decades of experience as a journalist, writer, editor, and communications executive, I explore what is changing in communications, what isn’t, what matters most, and the challenges and opportunities for writers and readers.

Featured Insight

Human Judgment & AI: AI Content Isn’t Your Competitive Advantage. Human Editorial Judgment Is.

AI has made producing content easier, but the competitive advantage now lies with organizations that know what deserves to be published and what doesn’t.

Original Writing

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01

What Makes Human Writing Truly Human in the Age of AI?

An examination of the qualities that distinguish human writing when AI can generate competent text almost instantly — and why connection, experience, judgment, and originality still matter.

02

Make Sure Your Authentic Content Has Something to Say

Authenticity isn’t enough. In an environment overflowing with content, the advantage comes from having genuine ideas, experiences, and expertise that are worth communicating.

03

My Journey as a Writer — From Typewriter to AI

A personal look at how the tools of writing have changed across a career spanning journalism, editorial leadership, public relations, and AI — while the fundamental responsibilities of the writer have not.

AI-Assisted Content

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01

The Human Content Editor Makes AI Content Worth Reading

AI can generate a draft. An experienced human editor is needed to determine whether that draft is accurate, useful, distinctive, and is actually worth an audience’s time.

02

How AI Content Editors Minimize the Risks of Publishing AI-Only Content

AI-only publishing introduces risks for organizations whose reputations depend on accuracy and credibility. Human editorial oversight provides the essential layer of judgment and accountability.

03

The AI Trust Gap: Why Human Editors of AI Content Matter

The problem isn’t simply whether organizations use AI. It’s whether they trust AI-generated material too readily and what happens to credibility when human oversight disappears.

04

AI Content Creation: Human-Centered Workflows for Competitive Advantage

The competitive advantage in AI content doesn’t come from producing more, faster. It comes from designing workflows in which technology adds efficiency while humans retain editorial responsibility and judgment.

05

Fixing AI’s Common Grammatical Errors

Even the most advanced AI models make critical grammatical and stylistic mistakes that an experienced human writer would not make – and that an experienced AI content editor would not miss. Here’s what to look for.

06

LLM Data Cutoff Dates: Why They Matter for AI Content

Understanding why the cutoff dates for large language models (LLMs) matter and the limitations they impose is crucial for ensuring the accuracy and trustworthiness of any AI-generated content.

Strategic Communications

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01

Brand Authority Fades in AI — Here’s What Resilient Brands Do

When every organization has access to the same powerful AI tools, producing more content no longer creates authority. Brands have to build authority through distinctive expertise, credible ideas, and communications grounded in what they genuinely know.

02

Why Only Human AI Writers Can Protect Your Brand’s Authentic Voice in the Age of AI

AI makes publishing easier, but it can also make organizations sound increasingly alike. Protecting a distinctive brand voice requires people who understand both the organization and the audience it needs to reach.

03

Ethics in AI Content: Protect Your Reputation from Harm

Using AI to generate text creates responsibilities as well as efficiencies. Organizations need expert human editorial oversight to identify and remove any ethical risks that could cause damage to their reputations before any content is published.

04

How to Spot and Fix Bias in AI-Generated Content (Before It Damages Your Company)

AI systems can reproduce the biases embedded in their training data. Human review is essential for recognizing biased content before it reaches an audience and creates reputational risk.

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