AI: Are We There Yet? From Hall to Jibo and Beyond
By Susan Hunt
April 13, 2026
What This Episode Explores
In this episode of Stare Down the Bull, Susan Hunt sits down with AI pioneer Roberto Pieraccini to unpack a question many are asking right now: are we actually making progress with artificial intelligence, or are we just getting better at demos?
With decades of experience spanning Bell Labs, Nuance, Google, and Jibo, Roberto offers a rare inside view of how AI has evolved and why expectations continue to outpace reality.
Why AI Feels Behind Even When It Is Not
One of the most important insights from this conversation is that we tend to evaluate AI the wrong way. As humans, we assume that tasks that feel simple to us should also be simple for machines. Conversation, reasoning, and contextual understanding fall into that category.
But the reality is the opposite.
Machines are already superhuman in areas like pattern recognition, large-scale data processing, and complex calculations. At the same time, they still struggle with things we do naturally every day. This mismatch creates the illusion that AI is underperforming when in fact it’s progressing along a very different path.
The Gap Between Invention and Real Impact
A major theme in the discussion is the difference between invention and innovation. Invention is the breakthrough. It’s the creation of something new. Innovation is what happens when that breakthrough actually becomes useful in the real world.
That transition is where most technologies fail.
It requires a different mindset, different leadership, and often a completely different type of organization. Many inventors build something impressive but never connect it to a real problem customers care about. The companies that succeed are the ones that bridge that gap and create true product market fit.
What Jibo Taught About Human Adoption
Roberto reflects on his experience with Jibo, one of the first social robots designed for the home. People loved Jibo almost immediately. They connected with it emotionally, interacted with it, and saw it as something more than just a device.
But emotional connection was not enough.
The product struggled to deliver enough ongoing value to move beyond early enthusiasts. It highlights a critical lesson that still applies today. Adoption is not just about how people feel about a product. It’s about whether it consistently makes their lives easier or better.
The Hard Truth About Scaling AI
Another key takeaway is how different things look once technology moves beyond a controlled environment. What works in a demo often breaks in the real world.
At scale, unpredictable user behavior, edge cases, and environmental variables create entirely new challenges. Even a small error rate becomes significant when millions of people are using a system. This is where many AI solutions fall short, not because the core idea is wrong, but because the complexity of real-world use was underestimated.
Where We Are Now in the AI Cycle
AI is following a familiar pattern seen in previous waves of technology. There is an initial surge of excitement and bold promises, followed by a period where reality starts to set in.
Roberto suggests we’re approaching that moment now.
The expectations built around AI are starting to collide with the limitations of current systems. That doesn’t mean progress has stopped. It means the focus is shifting from possibility to practicality, which is where real value is created.
What Separates Signal from Noise
At the end of the day, the technologies that matter are not the ones that look the most impressive in a demo. They are the ones that integrate seamlessly into everyday life and solve real problems.
Think about tools like Google Maps. It’s not just useful. It’s indispensable. It fits so naturally into daily routines that it changes behavior entirely.
That is the standard AI must meet to truly succeed.
Final Takeaway
AI is not a sudden breakthrough. It is the result of decades of work, moving step by step from invention to innovation to real-world impact.
The biggest opportunity right now is not in chasing the next flashy demo. It’s in doing the harder work of turning powerful technology into something reliable, scalable, and genuinely useful.
Connect with Susan:
Connect with Roberto