Senior VP of Global Services & Chief Business Development Officer, Carrier Global
Search every verified Ajay Agrawal interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Ajay Agrawal, a professor at the University of Toronto's Rotman School of Management and founder of the Creative Destruction Lab, has continued to discuss the economic implications of artificial intelligence in a series of appearances. He has described AI as "computational statistics that does prediction," arguing that its power comes from reframing problems—such as driving, email replies, and inspection—as prediction problems. Agrawal contrasted "point solutions," where AI is used to improve an existing process, with "system redesigns," such as Uber's use of navigational AI to create a new transportation model. He has also discussed the development of a humanoid robot capable of performing a variety of tasks, stating that such projects are progressing quietly and that the capabilities demonstrated by ChatGPT are being replicated in other domains. Agrawal has addressed the societal implications of AI, including the potential for machines to eventually perform all work. He has argued for a balanced approach to AI regulation, stating that while investment in safety and policy is needed, slowing down AI development would be a mistake due to its potential benefits in areas like healthcare and climate. He has also noted that the cost of prediction is falling, leading to increased use of AI for both familiar and novel applications.
“What if we are able to create machines that are sufficiently intelligent that they are able to do all work?”
“So not just the digital work — for example, if you tried ChatGPT or one of the competitors that can do some of the digital work — but also in robotics that are able to do all the physical work as well.”
“It may seem when you use something like ChatGPT that there is almost magic — like a ghost in the machine — that's able to communicate back and forth.”
“The first point I want to convey is that all this is is computational statistics.”
“So when you interact with AI — any AI — all it is is computational statistics that does prediction.”
“What's surprising is how much creativity and innovation has occurred in terms of our ability to address new problems with prediction.”
“We took all these types of problems that we didn't use to think of as prediction problems and we turned them into prediction.”
“There’s two ways that we start using more prediction: one is everywhere that we were already doing prediction we use more of it, but also we start taking problems that we never thought of as prediction problems and we turn them into prediction to take advantage of the new AI.”
“Things like driving — I suspect many people here 5 years ago would not have characterized driving as a prediction problem.”
“If you use email on your phone... those little recommendations in blue at the bottom when you hit reply — Google has read your email and it's predicted how you might want to reply.”
“Every time you click one of those you're training the AI — we've turned email replies into a prediction problem.”
“Inspection has become a prediction problem: now we put cameras, pressure sensors, various things feed that into an AI; an AI predicts when there might be a failure.”
“So that AIs can do it rather than let's say weekly or quarterly — continually 24/7 AI monitoring everything making predictions.”
“If you want to have a license to drive a taxi in the city of London you have to go to school for three years ... the navigational AI predicts the best route between one point and another — we can navigate the city as well as a pro.”
“In Tokyo our colleagues found that the inexperienced drivers who got the AI got a 7% productivity gain; the more high-skill drivers got a 0% gain — they were already very good at knowing how to navigate the city.”
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-------- The Creative Destruction Lab is a seed-stage program for massively scalable, science-based companies. Its nine-month program pairs founders with experienced entrepreneurs and investors to set focused, measurable objectives with the goal of maximizing equity-value creation. Founded in 2012 by Professor Ajay Agrawal at the Rotman School of Management at the University of Toronto, the program has now expanded with locations in Vancouver, Calgary, Montreal, Halifax, Oxford, and Paris. CreativeDestructionLab.com | #BuildSomethingMassive Follow us on social: Twitter - / creativedlab…
CDL Super Session 2019 was where a global community of ambitious, imaginative people striving to transform the way research is commercialized converged. At Super Session, ventures showcased advancements made during the program, finalize early-stage financing, and reveal technological breakthroughs to an international audience. It was also an opportunity to hear from the brightest minds in deep-science and technology. Speakers at Super Session included some of the world’s most innovative entrepreneurs and investors. His Royal Highness Prince Constantijn of The Netherlands, Special Envoy for…
Strategy professor Ajay Agrawal explains how we never thought of autonomous driving as a prediction problem... until today.
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