“The Rise of Artificial Intelligence” Licensed Under CC BY-NC-ND 4.0
If one thing has become clear over the past couple of years, it’s that there are no plans to slow the rapid and widespread deployment of Artificial Intelligence. Pretty much everyone agrees on this much. But what, exactly, does this mean? That’s a more debatable question.
While consensus opinion is that AI is the future, the interpretations of what that looks like is incredibly divisive. What’s more, this dichotomy isn’t just rooted in near-term impact. On the contrary, the perception of what AI deployment will look like by 2030, less than five years from now, starkly varies depending on the industry insiders and experts to whom you’re speaking.
Many are predicting that entire occupations and industries will be replaced. Customer service, as an example, is among the most popular trades expected to fall under this umbrella. Plenty of experts without vested stakes in the outcome believe AI agents will be running the majority of customer-response teams and operations by 2030. At the same time, this seemingly flies in the face of how many businesses operate.
Consider the wildly popular BetOnline sportsbook app / mobile site. Though sports betting is an industry that’s always been ahead of the curve when it comes to streamlining customer service, BetOnline and many of its peers continue to place an emphasis on person-to-person interaction, as MyTopSportsbook.com notes in its exhaustive overview of the company.
If sentiments can vary this much across just one sector, how are we supposed to know the breadth of impact AI will have on the world at large by 2030? The answer, frankly, is that we can’t. So much is left unsettled. And if we wanted to, we could come up with an infinite number of questions about AI’s deployment and capabilities over the next half-decade.
For concision’s sake, however, we are going to limit ourselves to three. These are not the only inquiries and curiosities we have. Far from it, in fact. But they are the biggest ones we have so far.
Will Humanoid Robots be Commonplace in Homes by 2030?
Sticklers will point out that robots are technically already everyday household inclusions. Look no further than roving vacuums. We are not talking about automated machines designed to serve one function, though. We want to know how common humanoid helpers around the house will be by the year 2030.
It isn’t hard to find people who believe this type of AI will be prevalent by then. Some, in fact, maintain we will see exponentially more humanoid robots in homes by the end of 2026.
Based on what the heads of AI companies themselves have said, this seems wildly ambitious. There are actually times when we feel more than a half-decade away from mass deployment. It doesn’t take much to find demonstrations of humanoid robots gone wrong, and even successful examples often feature AI skeletons that don’t exactly move at expedient or natural cadences.
Does this undersell the tech as of now? Are we bound to witness meteoric advancement on this front in the next few years? Or are we actually more than five years away from humanoids becoming ordinary?
How Much of the Healthcare Industry will be Overseen by AI Processes?
Many envision a world in which AI agents take over for primary care providers, and patients do not have to leave their homes for routine types of checkups. That future seems a ways off. But as the folks over at Fingent explain, AI may have its tentacles in many other processes over the next few years:
“Healthcare is a promising domain for the use of AI technologies. AI-based applications have started gaining the trust of doctors, nurses, and patients. By revising the policies and other commercial regulations regarding the development and usage of such applications, AI can be used to improve health outcomes and quality of life for millions of people in the coming years.
Patient monitoring, clinical decision support, remote patient monitoring, automated assists to perform surgeries, and healthcare management systems are some of the potential applications of AI in healthcare.”
From this overview, it seems like we’re more than five years away from AI performing functional healthcare. Then again, if it’s already providing “automated assists” during surgeries, are we perhaps closer to the era of agentic physicians than we think?
To What End Will AI Be Used in Education?
“Transforming Computer Science Education” Licensed Under CC BY-NC-ND 3.0
This is a big one—perhaps our biggest question of all. Right now, AI is already being used by teachers to create lesson plans. Students also regularly use it to perform functions like summarizing reading materials, solving mathematical equations, ascertaining general information and writing essays, among other things.
Many believe that over the next few years, AI will be able to personalize the education of each individual. Specialized lesson plans, they argue, would allow people to learn at their own pace and more precisely target their areas of interest.
Still, does this mean there will be no more general studies? If not, at what age or level does specialization begin? And how does that impact attendance at universities? If so many fields are either taken over by AI altogether or dominated by those overseeing agents, will that result in a massive decline in enrollment? Do we see entire universities shudder when they are no longer fetching as much in tuition?
Similarly, will there be any particular guardrails put in place? For instance, if someone is majoring in computer science, will they still be forced to learn how to code even though AI agents can complete those tasks on their own? Will reports and essays still be written by students themselves, or are they free to use AI agents? What happens to writing and reading comprehension skills if it’s the latter?
This subset of questions goes on. And on. There is no avoiding the endless amount of them, either. AI is exploding at a scope and scale unlike any innovation we’ve ever seen. How it’s utilized and monitored in education will, quite literally, shape society’s entire future.
