Most organizations are getting AI adoption backwards. As a substitute of constructing the foundational scaffolding that makes AI brokers work at scale, they chase flashy “large” use circumstances and set themselves up for failure. On this episode of Invisible Machines, Erika Flowers, who led NASA’s AI Readiness Initiative and has advised Meta, Google, Netflix, and Intuit, joins Robb and Josh for a frank and humorous dialog about what’s damaged in enterprise AI adoption.
Organizations usually overlook the agent runtime, the infrastructure that permits AI to operate reliably throughout real-world operations. With out it, initiatives stall, budgets are wasted, and innovation is delayed. Erika shares why most AI initiatives fail before they even attain manufacturing and why organizational gaps, not the expertise itself, are normally the wrongdoer.
The dialogue additionally seems to be forward to a “post-software” period, the place AI brokers and runtime environments rework enterprise operations. Erika presents sensible methods for shifting AI initiatives from pilot to manufacturing, emphasizing human-centered design, speedy iteration, and sustainable deployment.
This insightful dialog dismantles myths about the “large horny AI use case” whereas giving leaders, designers, and product groups actionable steering.
Listen now to uncover why AI scaffolding issues and the way to shut organizational gaps to thrive in a post-software world.
The publish Why AI Scaffolding Matters More than Use Cases appeared first on UX Magazine.
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