The Source - An AI Deep Dive Podcast

AI inequality isn't about access. Everyone can use the same model but the gap is in who knows how to ask.

In episode 7 of "The Source - An AI Deep Dive" Podcast, Jane Context and Mike Loop break down the second-order AI divide: why consultants using AI see 40% higher-rated output, why juniors gain the most, and why handing out licenses doesn't close the gap but building literacy does.

A grounded look at why access is easy and literacy is the slow, human work companies keep skipping.

The Source: https://www.linkedin.com/posts/pedromartinspt_ai-aileadership-aiadoption-share-7477131344813228032-4kDp/

Robots have done backflips in demos for a decade. They still can't reliably pick up a coffee cup.In this episode of "The Source - An AI Deep Dive" podcast, Jane Context and Mike Loop break down what's driving the rise of physical AI and why the distance between "impressive" and "trustworthy" is still wide.The Source:

https://www.linkedin.com/posts/pedromartinspt_ai-physicalai-aigovernance-ugcPost-7485440246487166977-DlCd

The buying journey is quietly shifting. AI assistants are now searching, comparing, and sometimes making the final call, long before a human ever sees a checkout page.

In this episode, Jane Context and Mike Loop unpack Mastercard’s agentic commerce model, the trust layer required for machines to act as buyers, and the new competitive dynamics this creates for merchants, platforms, and regulators.

If you want to understand the next decade of digital commerce, start here.

The Source:https://www.linkedin.com/feed/update/urn:li:activity:7472588850716979204/https://www.linkedin.com/feed/update/urn:li:activity:7472588850716979204/

AI doesn’t fail in the model, it fails in the humans. This episode explains why adoption collapses when companies communicate the tool but don’t train the people, even when the tool looks simple.From trust gaps to unchanged roles and cultures that fear uncertainty, Jane Context and Mike Loop reveal the human reasons AI never becomes the new way of working.

The Source:

https://www.linkedin.com/feed/update/urn:li:activity:7442148227388194817/

AI is changing how software gets built, not by adding more tools, but by turning delivery into a continuous, agent‑driven production system.

In this episode, Jane Context and Mike Loop break down how AI Software Factories actually work, why they matter, and what leaders often overlook when speed stops being the constraint.A practical, grounded look at the shift from handcrafted development to pattern‑driven, closed‑loop production.

The Source of this episode:

https://www.linkedin.com/feed/update/urn:li:share:7476756393799172098/https://www.linkedin.com/feed/update/urn:li:share:7476756393799172098/

AI doesn’t just reshape technology, it reshapes the power grid. In this episode, Jane Context and Mike Loop explore the hidden environmental footprint of the AI systems we use every day.

We break down:

• Why AI data‑center electricity use has doubled since 2017

• How inference became 80–90% of all AI compute

• Why AI data centres run on electricity that’s 48% more carbon‑intensive than the grid average

• The staggering energy jump from text → images → video → reasoning models

• And what this means for national climate goals heading toward 2030 and 2050

This is the episode policymakers, technologists, and leaders need: a clear, evidence‑based look at how AI’s energy appetite is accelerating, and the realistic levers we have to mitigate it.

If AI is becoming an energy technology, how do we govern it like one?

Let’s dive into the Source: https://www.linkedin.com/feed/update/urn:li:activity:7470776860101193729/

AI is moving faster than most organisations can govern it.

In this episode, we break down why traditional quality models fail in an AI‑driven environment , and how governance becomes the missing link between speed, safety and strategic value.

Jane Context and Mike Loop unpack the real risks: drifting definitions of “quality”, misplaced trust in model outputs, and the silent spread of decisions no one owns. This is the starting point for any leader serious about responsible, scalable AI adoption.

This episode's source: https://www.linkedin.com/feed/update/urn:li:activity:7465703452225044480/