<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="https://feeds.captivate.fm/style.xsl" type="text/xsl"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><atom:link href="https://feeds.captivate.fm/digital-tech-iq/" rel="self" type="application/rss+xml"/><title><![CDATA[Digital Tech-IQ]]></title><podcast:guid>9c7d0967-245e-519b-b13c-cac06f4ee60d</podcast:guid><lastBuildDate>Tue, 25 Aug 2026 16:44:04 +0000</lastBuildDate><generator>Captivate.fm</generator><language><![CDATA[en]]></language><copyright><![CDATA[Copyright 2026 Educational Media]]></copyright><managingEditor>Educational Media</managingEditor><itunes:summary><![CDATA[Clear, entertaining visual documentaries about AI products, company battles, breakthroughs, failures, cybersecurity, and practical impact.]]></itunes:summary><image><url>https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png</url><title>Digital Tech-IQ</title><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link></image><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><itunes:owner><itunes:name>Educational Media</itunes:name></itunes:owner><itunes:author>Educational Media</itunes:author><description>Clear, entertaining visual documentaries about AI products, company battles, breakthroughs, failures, cybersecurity, and practical impact.</description><link>https://digital-tech-iq.captivate.fm</link><atom:link href="https://pubsubhubbub.appspot.com" rel="hub"/><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><itunes:category text="Technology"></itunes:category><podcast:locked>no</podcast:locked><podcast:medium>podcast</podcast:medium><item><title>AI Agents Are Becoming Software Teammates</title><itunes:title>AI Agents Are Becoming Software Teammates</itunes:title><description><![CDATA[What changes when an AI system moves from answering questions to participating in workplace workflows?

Ethan Cole explains AI agents through a hypothetical IT access-request scenario. The episode separates vendor ambitions from independent proof, clarifies the roles of workflows, state, and tool use, and explores why operational authority comes from the systems connected around a model.

Before treating an AI agent as a software teammate, ask four questions: What is its objective? What can it read or change? Where are approval and escalation points? Can a person review the path it took?

Watch the companion video:
https://www.youtube.com/watch?v=JfuskhvW5aQ]]></description><content:encoded><![CDATA[What changes when an AI system moves from answering questions to participating in workplace workflows?

Ethan Cole explains AI agents through a hypothetical IT access-request scenario. The episode separates vendor ambitions from independent proof, clarifies the roles of workflows, state, and tool use, and explores why operational authority comes from the systems connected around a model.

Before treating an AI agent as a software teammate, ask four questions: What is its objective? What can it read or change? Where are approval and escalation points? Can a person review the path it took?

Watch the companion video:
https://www.youtube.com/watch?v=JfuskhvW5aQ]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">ba6676f3-f8ad-477f-bba6-f65529e5de04</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Tue, 25 Aug 2026 12:43:09 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/ba6676f3-f8ad-477f-bba6-f65529e5de04.mp3" length="23468687" type="audio/mpeg"/><itunes:duration>16:18</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>AI agents are best understood not as magical digital coworkers, but as AI models deployed with workflows, task context, and defined tools. Using a hypothetical IT access-request process, this episode examines the shift from giving answers to taking permitted actions—and why boundaries, human review, escalation, and visible action records matter.</itunes:summary></item><item><title>AI Office Automation: Who Gets Permission to Act?</title><itunes:title>AI Office Automation: Who Gets Permission to Act?</itunes:title><description><![CDATA[What changes when AI moves from drafting an email to sending it, updating records, processing payments, or triggering a shipment?

Ethan Cole follows a hypothetical customer request through an office workflow to examine the real dividing line in AI automation: permission. Along the way, this episode distinguishes augmentation from automation, compares Mustafa Suleyman’s aggressive forecast with Newmark’s office-market outlook, and explains why task-level change is more revealing than broad claims about jobs disappearing.

The practical takeaway: map the workflow, define which actions software may take, establish where human review begins, and measure the full result—not just the speed of a demo.

Watch the companion video:
https://www.youtube.com/watch?v=C4PeN6fcpDY]]></description><content:encoded><![CDATA[What changes when AI moves from drafting an email to sending it, updating records, processing payments, or triggering a shipment?

Ethan Cole follows a hypothetical customer request through an office workflow to examine the real dividing line in AI automation: permission. Along the way, this episode distinguishes augmentation from automation, compares Mustafa Suleyman’s aggressive forecast with Newmark’s office-market outlook, and explains why task-level change is more revealing than broad claims about jobs disappearing.

The practical takeaway: map the workflow, define which actions software may take, establish where human review begins, and measure the full result—not just the speed of a demo.

Watch the companion video:
https://www.youtube.com/watch?v=C4PeN6fcpDY]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">738b2faa-85b7-465d-a139-89d4fc59304d</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Tue, 25 Aug 2026 12:20:16 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/738b2faa-85b7-465d-a139-89d4fc59304d.mp3" length="27793295" type="audio/mpeg"/><itunes:duration>19:18</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>A skeptical look at AI office automation through one hypothetical customer request. The episode separates assistance from autonomous action, examines the permissions an AI system might receive, and compares ambitious automation forecasts with more restrained office-work projections.</itunes:summary></item><item><title>AI in 2026: Who Controls the Assistant?</title><itunes:title>AI in 2026: Who Controls the Assistant?</itunes:title><description><![CDATA[AI’s next shift may not be better chatbots. It may be software gaining access to documents, calendars, approvals, and other workplace systems.

This DigitalTechIQ episode examines the forecasts around AI agents, specialized models, multimodal tools, portability between providers, and ongoing monitoring. It also separates company outlooks from verified results—and applies that same standard to a reported 2026 quantum-computing prediction.

The practical question is simple: before an AI system gets authority to act, can you see what it can read, send, change, and who approves it?

Watch the companion video:
https://www.youtube.com/watch?v=A7Nr69XphVk]]></description><content:encoded><![CDATA[AI’s next shift may not be better chatbots. It may be software gaining access to documents, calendars, approvals, and other workplace systems.

This DigitalTechIQ episode examines the forecasts around AI agents, specialized models, multimodal tools, portability between providers, and ongoing monitoring. It also separates company outlooks from verified results—and applies that same standard to a reported 2026 quantum-computing prediction.

The practical question is simple: before an AI system gets authority to act, can you see what it can read, send, change, and who approves it?

Watch the companion video:
https://www.youtube.com/watch?v=A7Nr69XphVk]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">7ced206d-5fa4-46e7-9491-53f5d409f01e</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Thu, 20 Aug 2026 17:05:25 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/7ced206d-5fa4-46e7-9491-53f5d409f01e.mp3" length="19145231" type="audio/mpeg"/><itunes:duration>13:18</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>A skeptical guide to the 2026 AI outlook: agents entering workplace systems, the fight to control the AI interface, specialized and multimodal models, portability, monitoring, and why quantum-computing forecasts need stronger proof than headlines.</itunes:summary></item><item><title>AI’s Next 5 Years: Useful, Hidden, or Accountable?</title><itunes:title>AI’s Next 5 Years: Useful, Hidden, or Accountable?</itunes:title><description><![CDATA[AI’s next phase may be less about the biggest demo and more about the systems quietly shaping customer service, recommendations, and workplace workflows.

Ethan Cole examines 2026 expert commentary, reported usage estimates, and long-range projections to ask what the evidence actually supports. From frontier versus efficient models to agents, AI-enabled commerce, infrastructure, jobs, and accountability, this episode separates demonstrated outcomes from forecasts.

Using a hypothetical late-delivery complaint as a guide, we end with five practical questions to ask whenever AI affects a service, recommendation, or decision: Was it disclosed? What task is it doing? What data is involved? Can the outcome be challenged? And is there evidence that it helps?]]></description><content:encoded><![CDATA[AI’s next phase may be less about the biggest demo and more about the systems quietly shaping customer service, recommendations, and workplace workflows.

Ethan Cole examines 2026 expert commentary, reported usage estimates, and long-range projections to ask what the evidence actually supports. From frontier versus efficient models to agents, AI-enabled commerce, infrastructure, jobs, and accountability, this episode separates demonstrated outcomes from forecasts.

Using a hypothetical late-delivery complaint as a guide, we end with five practical questions to ask whenever AI affects a service, recommendation, or decision: Was it disclosed? What task is it doing? What data is involved? Can the outcome be challenged? And is there evidence that it helps?]]></content:encoded><link><![CDATA[https://digital-tech-iq.captivate.fm]]></link><guid isPermaLink="false">82906995-afbd-41f7-b1c5-3b5f84c345e7</guid><itunes:image href="https://artwork.captivate.fm/e67fba81-b93a-4252-9735-b86db91c3785/digital-tech-iq-podcast-cover.png"/><pubDate>Wed, 19 Aug 2026 17:58:31 -0400</pubDate><enclosure url="https://episodes.captivate.fm/episode/82906995-afbd-41f7-b1c5-3b5f84c345e7.mp3" length="19859471" type="audio/mpeg"/><itunes:duration>13:47</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:summary>An evidence-led outlook on the next five years of AI, focused on the shift from standout chatbots toward specialized systems embedded in services, work, and commerce—and on whether people can see, question, and override the decisions those systems influence.</itunes:summary></item></channel></rss>