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Envisioning is an emerging technology research institute and advisory.

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2011 — 2026

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ResearchServicesSignalsAbout
ResearchServicesSignalsAbout

Read us in your reader

Everything we publish is available as RSS. Each feed carries the whole piece, so you never have to click through. You don't need an account and nothing tracks you.

One feed for everything

If you only want one subscription, use this one. It merges every section below into a single stream.

Envisioning

Everything Envisioning publishes, merged into one stream so a reader only needs one subscription. Each item arrives in full.

Weekly or so

https://www.envisioning.com/rss.xml

Or pick a section

  • Artificial Insights by Envisioning

    Artificial Insights, the Envisioning newsletter on how technology reshapes strategy. Every issue arrives in full.

    Weekly

    https://www.envisioning.com/newsletter/rss.xml

  • Envisioning Observatory

    Briefs from Envisioning research, written for people who have to decide something. Every report arrives in full.

    A few times a month

    https://www.envisioning.com/observatory/rss.xml

  • Envisioning Vocab

    New entries in the Envisioning lexicon of AI and machine learning terms. Every definition arrives in full.

    Continuous

    https://www.envisioning.com/vocab/rss.xml

Events in your calendar

Events belong in a calendar rather than a reader, so this one is an iCalendar subscription. Add it once and new sessions appear alongside your own meetings, each with its signup link.

  • Envisioning Events

    Workshops, sessions, and talks. Subscribe once and each new event lands in your calendar with its signup link attached.

    Updated as events are scheduled

    Subscribe in your calendar apphttps://www.envisioning.com/events.icsGoogle Calendar wants the second link, pasted under “Add calendar, from URL”.

Subscribe to every section at once

Most readers can import an OPML file. Ours lists the section feeds, so one import subscribes you to all of them.

https://www.envisioning.com/feeds.opml

For machines

Crawlers and agents may prefer the plain-text index at /llms.txt or the sitemap at /sitemap.xml.