What is the future really look like? Self-driving cars. I think when I was little, that was like the one thing that I always thought of where I was like, oh, yeah, we're just going to be able to fly. My favorite, like the superhero power that I always wanted was flying. So, like, I would always just imagine a world where we would have, like, I don't know, like these. I would have my own little jetpack and I would be able to, like, go to school that way. So, yeah, it is really beautiful, right?
Like, this image was made on DALL-E, by the way, which is like ChatGPT 4 has an image production and it's called DALL-E. And so this is like a tool that I used to make this image, but basically, like, it's a really beautiful concept, right? Like, it might be even scary a little bit. Might be ultramodern, but the whole idea of like being able to have a world that looks a little bit differently, maybe it's fun or maybe self-driving cars is what we really need to kind of like lay out the stress of commuting.
Maybe, you know, like, if they're electric, it helps with emissions. It helps better greenhouse gas emissions. You know, things like that where technology can really help augment and enhance the way that we live life. And I don't want this conversation to be, you know, scary or not scary, but like, I don't want it to be like something that we stop at and we're like, no, this is so bad. It's just how do we work with it.
Because that is where the world is going. So, how do we make sure that, you know, as empathic human-centered designers, we're implementing our intent and our intent leads to great actions based off of that. So, typically with conclusions, and, so, with the future of AI, talk about, you know, what it would look like, the honest truth is that like with all my research that I've done, it just looks like everybody has different ideas. So, these are kind of the expectations.
Adoption businesses of all sizes and industries. We’ll adopt it, so just get ready to see that. Innovation: autonomous vehicles, robotics, personalized learning experiences, enhanced disease diagnosis and so much more. And then disruption, right? Like a lot of jobs are going to change. A lot of businesses that are slow to adopt, you'll see them kind of like fade out a little bit. Increasing energy consumption, changing educational models, things like that.
So, we are going to see like in the transition, people's jobs that will be affected by this. So, how do we also design for them? You know, like how do we make sure that as we're getting these really cushy paychecs as tech workers, as we're going into this society that's constantly about scaling and growing. We're making sure that we're taking everybody along with us. Because again, the whole point of building something great is to help and serve others as well as ourselves, right?
Like progress for progress’ sake is what, kind of, in my opinion, leads to these AI without guardrail issues where you see like massive displacement of people, you see people being kind of like charged with issues that weren't them because of negligent facial recognition services. Technology can be for us, but it can also have an adverse effect on us. So, just really thinking about that.