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AI in Text Index: Earnings Calls by Sector
Words language models overuse, per 10,000 words of S&P 500 earnings calls, trailing 90 days, sectors with enough companies to read
0 of 5 series are above their level a year earlier
Plays the chart through its history. Pauses are where the data set a record or moved most.
The AI in Text Index counts words from published research on the vocabulary language models overuse (Kobak et al.; Liang et al.), fixed before Palanor counted anything. Not an AI detector: it measures vocabulary across hundreds of companies and never says whether any company or document used AI. ChatGPT was released at the end of November 2022. The control counts twenty ordinary business words the same way. Checked against two independent methods (Fast-DetectGPT; Liang et al.): neither confirmed nor contradicted the rise, because both proved too weak on this kind of text to tell. Details are in the methodology. Sectors with too few companies to read every quarter are left out. Levels differ by what each sector talks about, so compare each line with its own past.
The AI in Text Index by sector: the words language models overuse, counted in the earnings calls of the five S&P 500 sectors large enough to read every quarter. Whole calls, prepared remarks and Q&A together.
What this chart reads
- AI in Text Index: S&P 500 Health Care earnings calls (marker words per 10,000)as “Health Care”latest 2026-10-22
- AI in Text Index: S&P 500 Consumer Discretionary earnings calls (marker words per 10,000)as “Consumer Discretionary”latest 2026-10-22
- AI in Text Index: S&P 500 Information Technology earnings calls (marker words per 10,000)as “Information Technology”latest 2026-10-22
- AI in Text Index: S&P 500 Financials earnings calls (marker words per 10,000)as “Financials”latest 2026-10-22
- AI in Text Index: S&P 500 Industrials earnings calls (marker words per 10,000)as “Industrials”latest 2026-10-22
Sources
AI in Text Index: S&P 500 Health Care earnings calls (marker words per 10,000). Source: Palanor calculation from earnings-call transcripts received through a licensed data provider. Calls only: one call per company per calendar quarter, S&P 500 members on the reading date (dated index membership), trailing 90 days. Prepared remarks and Q&A are split at the operator's first call for questions; the split was checked by hand on 12 calls and holds on about 94% of calls (the rest count only in the whole-call series). A value is published only when at least 150 companies have a call in the window.
AI in Text Index: S&P 500 Consumer Discretionary earnings calls (marker words per 10,000). Source: Palanor calculation from earnings-call transcripts received through a licensed data provider. Calls only: one call per company per calendar quarter, S&P 500 members on the reading date (dated index membership), trailing 90 days. Prepared remarks and Q&A are split at the operator's first call for questions; the split was checked by hand on 12 calls and holds on about 94% of calls (the rest count only in the whole-call series). A value is published only when at least 150 companies have a call in the window.
AI in Text Index: S&P 500 Information Technology earnings calls (marker words per 10,000). Source: Palanor calculation from earnings-call transcripts received through a licensed data provider. Calls only: one call per company per calendar quarter, S&P 500 members on the reading date (dated index membership), trailing 90 days. Prepared remarks and Q&A are split at the operator's first call for questions; the split was checked by hand on 12 calls and holds on about 94% of calls (the rest count only in the whole-call series). A value is published only when at least 150 companies have a call in the window.
AI in Text Index: S&P 500 Financials earnings calls (marker words per 10,000). Source: Palanor calculation from earnings-call transcripts received through a licensed data provider. Calls only: one call per company per calendar quarter, S&P 500 members on the reading date (dated index membership), trailing 90 days. Prepared remarks and Q&A are split at the operator's first call for questions; the split was checked by hand on 12 calls and holds on about 94% of calls (the rest count only in the whole-call series). A value is published only when at least 150 companies have a call in the window.
AI in Text Index: S&P 500 Industrials earnings calls (marker words per 10,000). Source: Palanor calculation from earnings-call transcripts received through a licensed data provider. Calls only: one call per company per calendar quarter, S&P 500 members on the reading date (dated index membership), trailing 90 days. Prepared remarks and Q&A are split at the operator's first call for questions; the split was checked by hand on 12 calls and holds on about 94% of calls (the rest count only in the whole-call series). A value is published only when at least 150 companies have a call in the window.
Charts are drawn from Palanor's signal library and recomputed from source data on every view. Transformations (changes, indexing, year-on-year rates) are Palanor's.