Artificial intelligence has rapidly become a part of American’s lives. What once was a fringe concept a few years ago is now an everyday tool.
Its expansive reach affects what and how students study, as well as the job sector, prompting some to question how students and higher education at large should respond.
The best way an undergrad can prepare for an AI-altered workforce is to develop human qualities that machines cannot replicate, such as critical thinking, creativity, and social intelligence, some experts told The College Fix.
While the value of specific majors may diminish, careers in mental health, healthcare, and fields requiring high-level decision-making and management will remain viable, they said.
But make no mistake, the role of humans will increasingly center on collaboration with AI.
AI will be a job killer. It will also be a job creator.
While some jobs will be eliminated, others will be created.
“The amount of work that’s being created and the opportunities to both create and contribute are going to be expanded exponentially,” said corporate advisor Jack Myers, a University of Arizona lecturer in its School of Information Science.
Forecasts predicting the coming obsolescence of countless careers should be viewed “through the prism of not only what’s going to be eliminated, but what’s going to be created,” he told The College Fix in a telephone interview.
Jobs in coding, basic processing, routine bookkeeping, low-complexity customer service and translation will all soon be eliminated, Myers said.
But the opportunities ushered in by AI are going to be exceptional, said Myers, author of the book “The Tao of Leadership: Harmonizing Technological Innovation and Human Creativity in the AI Era.”
“If you look at almost any area of human creation,” Myers said, “it will be enhanced through the same type of collaborative partnership as if the creator was hiring an expert to assist and support in the process.”
Joey Kim, chair of the Department of Engineering and Computer Science at Master’s University, described AI as “simply a tool.”
“With the advent of new tools, careers do disappear,” Kim said in a telephone interview with The Fix. “There’s also careers that get modified…. It’s not simply binary and careers [either] remain unaffected or [become] obsolete. There is a spectrum.”
But like it or not, AI will be part of many jobs, said Michael Pavlin, an associate professor in the School of Business and Economics at Wilfrid Laurier University, who has been involved in AI research since the early 2000s and serves as the chair of his school’s management analytics program.
“It’s hard to imagine a white collar job where you’re not going to be interacting with AI at some level,” he said in a telephone interview.
However, despite recent AI advances, he said he remains “more on the skeptical side,” later adding he believes “we’re being a little bit oversold.”
Reva Freedman, an associate professor of computer science at Northern Illinois University with expertise in computational linguistics, said AI “is going to have a huge impact on the job market, but not different in kind to the effect that computerization had with the invention of the PC in 1983.”
“In offices, [b]efore the invention of the PC, lots of people had jobs as secretaries and clerks. Secretaries typed memos that other people wrote. Those jobs have been largely replaced by people using word processors themselves,” she said via email. “Clerks did a variety of jobs that have been automated by use of Excel and other software.”
The jobs that will survive require high-level thinking, management skills, or require hands-on work, such as medicine, Freedman said.
Gary Clemenceau, a “deep geek” turned chaplain and author, who claims 30 years of experience in tech, agrees. He told The Fix that “mental health and healthcare jobs, and anything that requires dealing with humans and higher-order thinking, will still be viable.”
AI and the dumbing-down of higher education
But will there be any higher-order thinking left?
“For teachers, it’s absolutely impossible to give a writing [assignment] today that students can’t cheat on,” Freedman said. “Even for an in-class assignment, you can now get glasses that allow you to look up stuff on the web during an exam.”
Kim said the misuse of AI in the classroom devalues a degree’s representation of how well one has been trained in a program and successfully met its requirements.
Freedman also expressed concerns over the misuse of AI in other segments of society, citing allegations it was used to write a recent MAHA report said to contain made-up citations.
Pavlin told The Fix he is more concerned about less obvious errors that require a greater level of expertise to detect. For example, when querying AI about esoteric subjects related to his research, he tends to find deeper ways in which AI makes mistakes than he would if he similarly asked AI a question about general relativity.
In that sense, AI is not bulletproof. Kim echoed similar sentiments: “When big important decisions must be made where it’s either life-or-death or costing millions and millions of dollars, you’re going to need something more than ChatGPT.”
Yet, as some of the scholars interviewed by The Fix noted, the increasing overuse of AI by students may lead to the attrition of capacities beyond their proficiency at using ChatGPT.
“I think it’s impacting their learning,” Pavlin said. “Not all students, but [there is] definitely a subset of students where I’m concerned about their critical thinking skills.”
AI and the college student
When asked how students could best prepare for the careers that await them in an AI-altered job market, most of the scholars interviewed recommended they develop their more uniquely human attributes.
“The machines are already smarter than the human brain in many instances,” Myers told The Fix. “[They have] been for a while and that’s just going to continue to become increasingly the norm.”
“So where does the human come in?” Myers asked rhetorically, answering that humans enter through the “collaborative process” and “the unique human qualities of the human brain.” These he said are developed in the social sciences and humanistic majors.
Clemenceau said students must develop their human qualities.
“Students need to put down their phones and THINK,” Clemenceau wrote in an email to The College Fix. “AI is not very good at being creative.”
Whether majoring in computer science and learning to code is still a wise choice was a point of some disagreement.
“Coding will be irrelevant as a tool or resource to bring to the table,” Myers said. “The AI is doing its own coding going forward. It doesn’t need the human coders anymore.”
In contrast, Freedman noted that people “have been saying ever since I was a beginning programmer (in the 70’s) that programs that can write programs were coming.”
“Is it more true now? Probably. Does that mean the [number] of programmers needed will go down? T[h]at’s a much harder question to answer.”
“I think there will always be room for people who care about the quality of their work, understand the business needs, and can communicate with non-programmers,” she said.
As for choosing a major, though, she added: “I don’t think students’ majors have a lot to do with their success in the work world; their personal qualities are a lot more important. So I don’t think we can tell students what majors will be more useful.”
Kim expressed similar sentiments, saying “I personally believe that with any major, if you’re going to be using your tools to your advantage, and if you’re really going to be motivated enough to not just follow the crowd, you will have a job.”
Clemenceau said the future may be bleaker than his optimistic peers.
“I see two roads,” he said via email. “A small percentage of people will reject AI as inhuman and soulless and empty, and take the ‘human road’ as much as possible, living more spiritual lives.”
However, he added, a “larger percentage of people will fully embrace AI and (sadly) sacrifice part of their humanity, becoming less creative, less able to think critically – and more easily manipulated.”
The original development of directed evolution, performed first in bacteria, was recognised by the 2018 Noble Prize in Chemistry.
“The invention of directed evolution changed the trajectory of biochemistry. Now, with PROTEUS, we can program a mammalian cell with a genetic problem we aren’t sure how to solve. Letting our system run continuously means we can check in regularly to understand just how the system is solving our genetic challenge,” said lead researcher Dr Christopher Denes from the Charles Perkins Centre and School of Life and Environmental Sciences
The biggest challenge Dr Denes and the team faced was how to make sure the mammalian cell could withstand the multiple cycles of evolution and mutations and remain stable, without the system “cheating” and coming up with a trivial solution that doesn’t answer the intended question.
They found the key was using chimeric virus-like particles, a design consisting of taking the outside shell of one virus and combining it with the genes of another virus, which blocked the system from cheating.
The design used parts of two significantly different virus families creating the best of both worlds. The resulting system allowed the cells to process many different possible solutions in parallel, with improved solutions winning and becoming more dominant while incorrect solutions instead disappear.
“PROTEUS is stable, robust and has been validated by independent labs. We welcome other labs to adopt this technique. By applying PROTEUS, we hope to empower the development of a new generation of enzymes, molecular tools and therapeutics,” Dr Denes said.
“We made this system open source for the research community, and we are excited to see what people use it for, our goals will be to enhance gene-editing technologies, or to fine tune mRNA medicines for more potent and specific effects,” Professor Neely said.
The cat is out of the bag with artificial intelligence (AI). Trillions of dollars in value have been added to stock portfolios on the backs of the AI revolution in just a few years. Nvidia is knocking on the door of a $4 trillion market capitalization. It is difficult to find undervalued AI stocks right now.
But it is not impossible. Here are two AI stocks — ASML(ASML -0.73%) and Alphabet(GOOG 0.51%) — that look undervalued and can help investors become millionaires if they buy and hold for the long term.
Image source: Getty Images.
Helping build advanced computer chips
ASML is the leading seller of lithography equipment for making advanced semiconductors. In some cases, it is the only provider on the market. Lithography in this case is the use of lights and lasers to print tiny patterns on objects such as semiconductors. Advanced semiconductors require intricate designs over microscopic areas, which helps them generate more efficient computing power for AI applications.
With its advanced extreme ultraviolet lithography systems (EUV), ASML is the only provider of machines that help make advanced semiconductors for the likes of Nvidia. This makes it a vital point in the semiconductor supply chain and a monopoly seller of its equipment today. Not a bad place to be in when semiconductor demand is soaring because of the insatiable need for more AI computer chips.
Over the past 12 months, ASML generated $33 billion in revenue, which has grown a cumulative 353% in the last 10 years. Operating income has grown 551% to $11 billion. The company’s growth is not linear because of lumpy equipment sales to large factories and the cyclicality of the semiconductor industry, but over the long term, demand prospects look fantastic. Manufacturers are planning hundreds of billions of dollars in capital expenditures to build new semiconductor factories. These factories will be stuffed with ASML lithography equipment.
ASML has a trailing price-to-earnings (P/E) ratio of 33. This is not dirt cheap in a vacuum, but I believe it makes the stock undervalued because of its future growth prospects, which will bring this P/E ratio down to a much more reasonable level. Buy ASML stock today and hold on tight for the long term.
One of the reasons for the increased demand for computer chips and ASML equipment — perhaps the largest reason — is Alphabet. The owner of Google, Google Cloud, YouTube, Waymo, and Gemini keeps doubling down on AI.
The big technology company can win in AI by playing two fronts: consumer and enterprise applications. With everyday users it is adding new AI tools to Google Search while building out advanced conversational AI with the Gemini application. Gemini now has an estimated 350 million active users and is growing rapidly, although it is still smaller than OpenAI’s ChatGPT.
With immense scale and resources, Alphabet will be able to deploy AI tools across its applications that are used by billions of people around the globe.
On the enterprise side, Google Cloud is one of the leading AI cloud companies due to its advanced computing infrastructure. Google Cloud revenue grew 28% year over year last quarter to $12.3 billion, making it the fastest-growing segment for Alphabet. The division has invested heavily in its own computer chips called Tensor Processing Units (TPUs), which make it more efficient to build AI software applications on Google Cloud.
There is expected to be hundreds of billions of dollars spent on AI cloud workloads in the coming years, which will help Google Cloud keep growing as a bigger piece of the Alphabet pie.
Overall, Alphabet generated a whopping $360 billion in revenue over the past 12 months and $117.5 billion in operating income. Investors were previously worried about saturation of usage at Google Search, which has now proliferated around the globe. However, with the rise of AI applications, Alphabet looks to have increased its addressable market in organizing the world’s information, the company’s famous slogan. This will help revenue and earnings keep growing over the next decade.
Today, you can buy Alphabet stock at a measly P/E ratio of 20. This makes the stock undervalued if you plan on holding for many years into the future.
Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Brett Schafer has positions in Alphabet. The Motley Fool has positions in and recommends ASML, Alphabet, and Nvidia. The Motley Fool has a disclosure policy.
Russia allegedly field-testing deadly next-gen AI drone powered by Nvidia Jetson Orin — Ukrainian military official says Shahed MS001 is a ‘digital predator’ that identifies targets on its own
Ukrainian Major General Vladyslav (Владислав Клочков) Klochkov says Russia is field-testing a deadly new drone that can use AI and thermal vision to think on its own, identifying targets without coordinates and bypassing most air defense systems. According to the senior military figure, inside you will find the Nvidia Jetson Orin, which has enabled the MS001 to become “an autonomous combat platform that sees, analyzes, decides, and strikes without external commands.”
Digital predator dynamically weighs targets
With the Jetson Orin as its brain, the upgraded MS001 drone doesn’t just follow prescribed coordinates, like some hyper-accurate doodle bug. It actually thinks. “It identifies targets, selects the highest-value one, adjusts its trajectory, and adapts to changes — even in the face of GPS jamming or target maneuvers,” says Klochkov. “This is not a loitering munition. It is a digital predator.”
Even worse, the MS001 is allegedly operating in coordinated drone groups, persisting in its maximum destructive purpose despite the best efforts of Ukraine’s electronic warfare and other anti-drone systems.
Frustrated with warfare tech development speeds
Klochkov signs off his post by informing his LinkedIn followers that “We are not only fighting Russia. We are fighting inertia.” What he appears to wish for is an acceleration of Ukraine’s own assault drone capabilities. The Major General seems particularly disappointed in the Ukrainian system of procurement rounds, slowing field-testing and deployment of improved responses to new Shahed drone generations.
Shahed drones are originally an Iranian design but have gained great notoriety due to their sustained use by the Russian army to attack Ukrainian targets. The MS001 is substantially upgraded in the ‘smarts’ department thanks to Western/allies technologies.
Klochkov says the MS001 is powered by the following key technologies:
Nvidia Jetson Orin — machine learning, video processing, object recognition
Thermal imager — operates at night and in low visibility
Nasir GPS with CRPA antenna — spoof-resistant navigation
FPGA chips — onboard adaptive logic
Radio modem — for telemetry and swarm communication
Cute AI dev board with deadly potential (Image credit: Nvidia)
Western tech sanctions are supposed to neuter this kind of military threat from nations like Russia and Iran. This news indicates that such trade barriers are leaky, at best, and probably not taken seriously enough.
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Not the first Russia-deployed drone discovered using Nvidia AI
This isn’t the first Russian drone system that is thought to have adopted Nvidia’s Jetson Orin as a key component.
A month ago, Ukraine’s Defense Express site said that a new “smart suicide attack unmanned aerial vehicle with artificial intelligence,” dubbed the V2U, was powered by Nvidia’s little AI computer.
While the Shahed MS001s use an Iranian design, the V2U looks like it is more reliant on Chinese tech, including the Chinese-made Leetop A603 carrier board.
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