Public discussion of AI's workforce impact is dominated by economists modeling aggregate effects, executives describing deployment plans, and policymakers debating regulatory response. The workers whose actual jobs are being changed by AI deployment are, disproportionately, the least represented voice in this conversation, typically appearing as a statistic rather than a source.
Why this imbalance exists
Economists, executives, and policymakers are easier sources to reach, more practiced at speaking in the soundbites and frameworks that make for a clean quote, and more likely to be proactively pitching their own perspective to reporters. Individual affected workers are harder to reach systematically, less likely to have a public platform, and sometimes reluctant to speak on the record about their own employer's AI deployment for understandable professional reasons.
What's lost without their perspective
A worker actually experiencing an AI-driven change to their job has direct, granular knowledge of what's actually changed day to day - what got easier, what got harder, what the tool gets wrong in practice - that no economist's model or executive's description can substitute for, however sophisticated the modeling or well-intentioned the description.
Why we're trying to change this in our own coverage
We've made a deliberate effort to seek out and protect, where needed, workers willing to describe their own direct experience with AI-driven job changes, treating that testimony as primary source material rather than color commentary around the economists' and executives' framing.
What we'd ask of readers
If you've experienced a real, direct change to your own job because of AI deployment, your account is exactly the kind of source material this conversation needs more of, and we'd genuinely like to hear from you, on whatever terms of confidentiality you need.