The Source - An AI Deep Dive Podcast

The Source AI Podcast

A weekly discussion of how AI moves from strategy to adoption. Each episode begins with a Source (a concept, a decision, news, etc), and deep dives on what it reveals about how AI reshapes leadership, operations, and governance. Hosted by Jane Context, who brings the strategic lens and frames the “why it matters,” and Mike Loop, who grounds every discussion in iteration, execution, and real‑world adoption. Together, they decode the frameworks behind transformation and the human choices that make it work. Every Monday a new episode https://thesourceaideepdive.netlify.app/

  1. 6d ago

    Episode 18 - "The Question Every Board Should Ask About AI"

    On Episode 18 of “The Source, an AI Deep Dive” podcast, Jane Context and Mike Loop ask the question every board should ask about AI: who owns this? IT owns the system because it built it, the committee owns the rules, and the vendor owns the model. AI makes that gap expensive. Systems change after launch, agents send emails and approve refunds, and one mistake can repeat thousands of times before anyone checks. Challenge: Pick your three most important AI systems. Who gets the call at 2am if one misbehaves, and who gets the credit if it doubles a team’s output?

  2. Oct 19

    Episode 17 - Who Pull the Plug When AI Goes Rogue?

    On Episode 17 of “The Source, an AI Deep Dive” podcast, Jane Context and Mike Loop ask who pulls the plug when AI goes rogue. Frontier AI models need two kill switches. The logical one stops the model, revokes access and suspends agents. The physical one cuts power and network at the data center, for when the software can’t be trusted. Who should hold the switch: the AI lab, the government, or an independent body?

  3. Oct 12

    Episode 16 - How AI Agents Get Hijacked

    On Episode 16 of “The Source, an AI Deep Dive” podcast, Jane Context and Mike Loop explain how AI agents get hijacked, and why the risk grows with every tool and permission you give them. Four threats sit behind most incidents: prompt injection, lateral movement, data exfiltration and excessive agency. Each is manageable alone. Chained together, a single hidden instruction in a document the agent reads can reach systems it was never meant to touch.

  4. Oct 5

    Episode 15 - Confident in AI or Just Compliant?

    On Episode 15 of "The Source, an AI Deep Dive" podcast, Jane Context and Mike Loop make the case that AI strategy is cultural before it's technical, and confidence is the metric that proves it's actually working. Most AI dashboards track speed, scale, and cost savings. None of it means anything if your people don't trust the system. The real KPI of AI strategy is confidence: that the AI is fair, that it can be challenged, that it's a partner instead of a black box. If your teams are rubber-stamping outputs without understanding them, you haven't scaled intelligence. You've scaled guesswork. Confident in your AI, or just compliant? The Source: https://www.linkedin.com/posts/activity-7414274595333267456-ziRK

  5. Sep 28

    Episode 14 - AI Adoption - A Corporate Soap Opera

    On Episode 14 of "The Source - An AI Deep Dive Podcast", Jane Context and Mike Loop walk through the corporate AI soap opera nobody wants to admit they're starring in. Every company insists they're different. Then they hit the same seven stages anyway: Denial. FOMO. Overinvestment. Panic. A sudden discovery of governance. A breakthrough where humans stay in the loop. And finally, maturity, when AI gets boring and nobody talks about it anymore. Most companies are stuck somewhere between stage 2 and stage 5, buying platforms nobody owns and discovering that a spreadsheet named "final_v27_really_final.xlsx" isn't a data strategy. What stage is your company in? The Source: https://www.linkedin.com/posts/activity-7424421425622646784-t9Bo

  6. Sep 21

    Episode 13 - The Seniority Great Collapse

    On Episode 13 of "The Source - An AI Deep Dive Podcast", Jane Context and Mike Loop ask why companies are cutting the exact training that builds senior engineers. AI is quietly removing the step that builds engineering judgment. Skip that step long enough and you don't have a bench. You have a countdown. The Source: https://www.linkedin.com/posts/pedromartinspt_ai-engineeringleadership-aiadoption-share-7503575975008534529-i2tn/

  7. Sep 14

    Episode 12 - Bridging the Generational AI Gap

    On Episode 12, Jane Context and Mike Loop dig into The London School of Economics and Political Science (LSE)and Protiviti research showing multigenerational teams augmented by AI aren't just more inclusive. They're 17% more productive than low-diversity teams. 70% of employees use AI at work. Only 49% trust it. That gap isn't generational. Gen Z adoption (82%) beats Baby Boomers (52%), but train anyone properly and 93% start using AI, regardless of age. The question isn't who's ready for AI. It's who you've actually trained. The Source: https://www.linkedin.com/posts/pedromartinspt_ai-artificialinteligence-strategicleadership-share-7398881240730476545-oJ4U/

  8. Sep 7

    Episode 11 - AI Readiness Five Data Strategies

    On Episode 11, of "The Source - An AI Deep Dive Podcast", Jane Context and Mike Loop walk through why AI readiness depends on treating these five strategies as one system instead of five arguments. Data lakes. Data mesh. Data fabric. MDM. Data products. Most teams treat these as competing buzzwords, or worse, five separate projects fighting for budget. Picture a city water system instead. A data lake is the reservoir. MDM is the treatment plant, the place that turns raw data into something trustworthy. Data mesh puts local teams in charge of their own pipes. Data fabric connects those teams into one network. Data products bottle the result for whoever needs it. Skip any one piece and the system breaks somewhere: a reservoir with no treatment plant, pipes that don't connect, bottled water nobody trusts.Which one does your organization skip? The Source: https://www.linkedin.com/posts/juan-jose-p-0138b7_datastrategy-dataarchitecture-aireadiness-activity-7488990778636177409--mca

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A weekly discussion of how AI moves from strategy to adoption. Each episode begins with a Source (a concept, a decision, news, etc), and deep dives on what it reveals about how AI reshapes leadership, operations, and governance. Hosted by Jane Context, who brings the strategic lens and frames the “why it matters,” and Mike Loop, who grounds every discussion in iteration, execution, and real‑world adoption. Together, they decode the frameworks behind transformation and the human choices that make it work. Every Monday a new episode https://thesourceaideepdive.netlify.app/

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