Why AI Workforce Coverage Is Harder Than It Looks
From the outside, AI Workforce coverage can look like straightforward reporting: something happens, you write it up. In practice, the harder part is usually what does not make it into the final piece.The incentives are rarely neutralNearly everyone with information relevant to AI Workforce coverage also has a stake in how it is framed, which […]
The AI Workforce Source We Keep Going Back To
Every beat ends up with a short list of sources who consistently explain things better than the press materials do, and for AI Workforce coverage one source in particular keeps earning a callback.What makes a source worth calling backThe sources we return to most for AI Workforce coverage tend to share one trait: they are […]
What We Got Wrong About AI Workforce Coverage a Year Ago
Looking back at our own AI Workforce coverage from a year ago surfaces a few calls that did not hold up the way we expected, and we think naming them is more useful than letting them quietly disappear.We underestimated how fast the consensus could shiftA view that seemed like a safe, widely shared assumption in […]
The AI Workforce Statistic We Stopped Citing
Not every widely repeated number holds up, and AI Workforce coverage has its share of statistics that sound authoritative mostly because they get cited so often.The number that lost its contextA frequently cited statistic made the rounds across AI Workforce coverage for months before we looked closely at its original source and realized the methodology […]
How We Decide Which AI Workforce Stories Make the Cut
Every day brings more AI Workforce coverage opportunities than we could possibly take on, so the real editorial work happens before a single word gets written: deciding what is worth a reader’s time in the first place.We weight verifiability over velocityA claim that is easy to verify beats a claim that is merely exciting. If […]
Why AI Unicorns Coverage Is Harder Than It Looks
From the outside, AI Unicorns coverage can look like straightforward reporting: something happens, you write it up. In practice, the harder part is usually what does not make it into the final piece.The incentives are rarely neutralNearly everyone with information relevant to AI Unicorns coverage also has a stake in how it is framed, which […]
The AI Unicorns Source We Keep Going Back To
Every beat ends up with a short list of sources who consistently explain things better than the press materials do, and for AI Unicorns coverage one source in particular keeps earning a callback.What makes a source worth calling backThe sources we return to most for AI Unicorns coverage tend to share one trait: they are […]
What We Got Wrong About AI Unicorns Coverage a Year Ago
Looking back at our own AI Unicorns coverage from a year ago surfaces a few calls that did not hold up the way we expected, and we think naming them is more useful than letting them quietly disappear.We underestimated how fast the consensus could shiftA view that seemed like a safe, widely shared assumption in […]
The AI Unicorns Statistic We Stopped Citing
Not every widely repeated number holds up, and AI Unicorns coverage has its share of statistics that sound authoritative mostly because they get cited so often.The number that lost its contextA frequently cited statistic made the rounds across AI Unicorns coverage for months before we looked closely at its original source and realized the methodology […]
How We Decide Which AI Unicorns Stories Make the Cut
Every day brings more AI Unicorns coverage opportunities than we could possibly take on, so the real editorial work happens before a single word gets written: deciding what is worth a reader’s time in the first place.We weight verifiability over velocityA claim that is easy to verify beats a claim that is merely exciting. If […]