Who is Leading, Who is Learning?: AI at Work

A new report from MIT has sent shockwaves through the enterprise AI world. According to the State of AI in Business 2025 study, 95% of generative AI pilots deliver zero return on investment.

#ArtificialIntelligence #MultimodalAI #ExplainableAI #PhilosophyOfTechnology #DigitalEthics #NarrativeStructures

What if the real question of AI was not how powerful it becomes, but what kind of story it tells? This episode frames artificial intelligence as a narrative force—less a technological object and more a co-author of contemporary meaning. From the growing unease around generative AI to the quiet revolutions in healthcare and governance, we explore how intelligence is escaping the lab and inhabiting our daily institutions, expectations, and moral architectures.

We move through philosophical tensions: the trade-off between efficiency and autonomy, the ethical opacity of explainable AI, and the metaphysics of machines that now see, speak, and learn. Drawing on thinkers like Gilbert Simondon, Hannah Arendt, and Bruno Latour, the episode unpacks the architecture of AI not as a technical challenge, but as a civic, cultural, and ontological one.

The aim is not to simplify the story of AI—but to listen more carefully to it. What are its rhythms, its blind spots, its unspoken philosophies? And how might we design with care rather than control?

Reflections

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Further Reading

The future will not be decided by machines alone. It will be shaped by the structures we choose to trust—and the rhythms we choose to listen for.

#TheDeeperThinkingPodcast #ArtificialIntelligence #EthicsOfTechnology #PhilosophyOfAI #DigitalHumanism #NarrativeAI #InstitutionalDesign #CivicArchitecture #Simondon #Latour #Arendt #FutureOfWork #TechEthics #AIInSociety #Explainability #Governance