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Opinion & Analysis · September 27, 2026 · 2 min read

What a Year of AI Opinion Writing Taught Us About Our Own Blind Spots

Reviewing our own opinion coverage over time surfaced a pattern we hadn't noticed while publishing it piece by piece.

What a Year of AI Opinion Writing Taught Us About Our Own Blind Spots

Reviewing a year's worth of published opinion pieces together, rather than one at a time as they ran, surfaced a pattern in our own coverage that wasn't visible from inside any single editorial decision: a tilt, in aggregate, toward commentary from people already inside the AI industry, and comparatively less from people affected by AI deployment without being part of building it.

Why this tilt happened without any single bad decision

Industry insiders are simply easier to reach, more practiced at articulating a clear argument, and more likely to pitch us directly, because engaging with AI coverage is part of their professional life in a way it isn't for most people experiencing AI's effects from outside the industry. No single editorial choice caused this pattern; it emerged from many individually reasonable decisions about who responds to an invitation to write.

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What we think this cost our coverage

A perspective section weighted toward people who build AI systems for a living is missing a meaningfully different and equally legitimate set of viewpoints - from workers whose jobs have changed because of AI deployment, from small businesses evaluating whether to adopt it, from people affected by AI decisions in contexts like hiring or lending where they have no say in the technology's design.

What we're doing differently

We've started actively soliciting pieces from outside the industry specifically, rather than waiting for pitches to arrive through our existing channels, and tracking the balance of who's represented in our opinion coverage over time rather than only evaluating each piece individually as it's proposed.

Why we're sharing this rather than quietly fixing it

A blind spot that goes uncorrected because no one names it publicly tends to persist. Naming ours here is partly accountability and partly an invitation: if you've experienced AI's effects from outside the industry building it, we'd like to hear from you.

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AIBW Desk
Contributing Analyst

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