Stocks with sustainable dividends that are using AI to augment their data
For the segment’s leading players, their exclusive datasets provide a competitive moat against potential new rivals. That competitive edge also helps to explain the appeal these financial companies have for investors seeking reliable income and dependable returns.Still, our analysts at The Successful Investor note these companies typically shoulder high computing technology costs. That translates into modest dividends for shareholders, with dividend yields typically capped at 2 per cent.
- ▪For the segment’s leading players, their exclusive datasets provide a competitive moat against potential new rivals.
- ▪That competitive edge also helps to explain the appeal these financial companies have for investors seeking reliable income and dependable returns.Still, our analysts at The Successful Investor note these companies typically shoulder high c
- ▪That translates into modest dividends for shareholders, with dividend yields typically capped at 2 per cent.
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| Original publisher | The Globe and Mail |
| Canonical URL | https://www.theglobeandmail.com/investing/investment-ideas/number-cruncher/article-stocks-with-sustainable-dividends-that-are-using-ai-to-augment-their/ |
| Publication time | Thu, 23 Jul 2026 20:00:01 +0000 |
| Retrieval time | 2026-07-23T20:11:52.789Z |
| Last seen | 2026-07-23T20:11:52.789Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | cDjECFPOSuZ3 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ShareSave for laterPlease log in to bookmark this story.Log InCreate Free AccountWhat are we looking for?Sustainable dividends from companies using AI to expand the value of their financial dataThe screenThe growing use of AI models means the value of investment information has shot up for companies holding vast amounts of proprietary financial data. For the segment’s leading players, their exclusive datasets provide a competitive moat against potential new rivals. That competitive edge also helps to explain the appeal these financial companies have for investors seeking reliable income and dependable returns.Still, our analysts at The Successful Investor note these companies typically shoulder high computing technology costs.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Globe and Mail.
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