The earliest adopters and the hardest hit. Technology companies embraced AI content tools before any other sector. The irony is structural: the companies building these tools have been most transformed by them.
Three findings from the Technology sector corpus. Each carries statistical evidence from the full PRISM™ analysis.
Joint-highest drift with Luxury, but from moderate baselines. Technology never had the linguistic heritage of Luxury, making the loss harder to reverse.
The inflection point arrived two years before ChatGPT. Internal AI writing tools were already deployed across content teams by 2020.
Generic phrase density rose from 48 to 72. The largest absolute increase of any dimension in any sector in the corpus.
Current PLI scores versus 2015–2019 baseline. Sorted by drift magnitude.
Current PLI score versus 2015–2019 baseline. Scores with fewer than 10 documents in the current window are excluded. ⓘ Ordering rationale
| Organisation | Current PLI | Baseline PLI | Coverage |
|---|---|---|---|
| ASML | 58.4 | 73.8 | |
| Dassault | 57.2 | 72.1 | |
| SAP | 56.8 | 72.4 | |
| Infineon | 56.4 | 71.8 | |
| Ericsson | 55.6 | 71.2 | |
| Amadeus | 55.1 | 70.5 | |
| STMicro | 54.8 | 70.2 | |
| Nokia | 54.2 | 70.8 | |
| Capgemini | 53.8 | 69.4 | |
| Logitech | 53.2 | 68.8 |
Organisations are ranked by PLI score. The confidence badge reflects the number of scored documents in the current window: High (≥ 30 documents), Medium (10–29), Low (fewer than 10). Low-confidence scores are included in the ranking and should be read alongside the document count.
Sector median with interquartile range (shaded). Corpus median shown as dashed reference line.
Ten PRISM™ dimensions. Baseline (dashed) versus current (solid). Sorted by drift in the table.
| Dimension | Baseline | Current | Δ | |
|---|---|---|---|---|
| Cultural Markers | 66.0 | 44.0 | -22.0 | |
| Idiom Density | 62.0 | 42.0 | -20.0 | |
| Perplexity | 68.0 | 54.0 | -14.0 | |
| Burstiness | 64.0 | 50.0 | -14.0 | |
| Lexical Diversity | 70.0 | 56.0 | -14.0 | |
| Readability | 72.0 | 60.0 | -12.0 | |
| Citation Density | 60.0 | 48.0 | -12.0 | |
| Jargon Load | 74.0 | 68.0 | -6.0 | |
| Hedging Language | 58.0 | 66.0 | +8.0 | |
| Generic Phrases | 48.0 | 72.0 | +24.0 |
Cross-sector linguistic similarity. Higher scores mean Technology is beginning to sound like other sectors.
Quality metrics for the Technology sector corpus used in this analysis.