Translation is leaving per-word pricing behind

Work requirements

Details

ASK: one infographic of a whole industry changing its unit - from paying per word to paying for an outcome. FACT (locked): human translation costs roughly 10 times machine post-editing per word, and the industry is moving from per-word pricing to subscription and value-based work. In 2022 human translation was about 35 billion dollars of a 45 billion dollar market, machine about 13 billion. Source: Grand View Research; Translated, market analysis. BEAT: the unit is shifting from words-times-a-rate to a result you subscribe to. BAR: instantly legible. DIRECTION (we lock the world; iterate inside it): dictionary and letterpress specimen-sheet, type-forward. PALETTE: 2 inks, ink black and one signal colour for the new unit, named hexes, on a named non-off-white ground. FRAME: per-word on one side, subscription on the other. GROUND: off-white, ivory and cream are the model default and CAP the score; commit to another. SPACE: at least 40 percent stays quiet ground; compose the emptiness. Filled corner to corner CAPS. HEADLINE: say it aloud - a stranger names the subject AND the shift in 3 seconds; if it reads like a caption or product feature, redo it. VOICE: write in the register above. CARE: keep the two market figures distinct and dated (2022); the 10x is per word. TEXT: 1 headline, up to 4 labels, a source. STANDARD (detail in https://gist.github.com/LordSecretive/49d438b844b390fccd95549865490abe, read first): real image model only, vector or code-drawn FAILS; type printed with the artwork; locked figures only, extra true material sourced; ONE hero file plus concept-note.md and sources.md; no archives; nothing about how it was made on the piece. JUDGED: wow, subject, surprise, craft. NOT THIS: flags-of-the-world cliche; a robot-versus-human handshake.