AI Robots: Big Promises, Epic Fails
from David Linthicum Hosted by David Linthicum
AI robots have not failed because the idea was foolish; they have disappointed because the real world is harder, costlier, and less predictable than the hype suggested. Many were introduced as machines that would cut labor costs, improve safety, and deliver smoother service than humans. Instead, several high-profile deployments exposed the limits of current robotics. Walmart dropped shelf-scanning robots after a large rollout, suggesting the value was weaker than expected. Amazon halted its Scout delivery robot tests, showing how difficult sidewalks and neighborhoods are for autonomous machines. Cruise's robotaxi troubles showed that one serious safety incident can trigger regulatory backlash and destroy public trust almost overnight. In warehouses, robots did not automatically make work safer, with reporting linking robotic facilities at Amazon to higher serious injury rates. Service robots also struggled with human interaction, as seen with the supermarket robot Fabio, which confused customers rather than helping them. And sometimes the failure became symbolic, like the Knightscope security robot that fell into a fountain. Together, these stories suggest that robotics is advancing, but far more slowly, awkwardly, and expensively than many early believers expected.
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