"AI & robots will replace all jobs" - Elon Musk speaking in May, 2024 via remote webcam during the VivaTech 2024 conference in Paris. In October, 2025 Musk reiterated these remarks on X. While discussing the future of automation, Musk said, "Probably none of us will have a job," adding that AI & robots will provide any goods & services anyone wants.
"Not for most things" was Bill Gates' response in 2025 to Jimmy Fallon's question on the Tonight Show regarding whether or not human beings would be needed. Gates' time frame was the next ten years.
Elon's & Bill's remarks above highlight one of two fundamental questions pertaining to the artificial intelligence (AI) mania that has propelled the stock market to record heights: 1) will AI wipe out all jobs? The second fundamental question: 2) will AI transform jobs like the automobile industry did when buggy whip manufacturers learned to be auto assembly line workers?
We see in the first question that there will be people - unemployed people, & in the second there will be jobs - but do we have a sufficient number of people with knowledge & skills to fill these new & different jobs, if they do appear?
We are not @ a good starting point to consider these two possibilities. The ratio of job openings to the number of unemployed people started falling after March, 2022 when it stood @ 2.02. It had dropped to 1.13 when Trump took office & he has not stopped the decline. In Trump's 14 months in office we crossed the divide as the ratio fell to 0.92 meaning that there are now more people unemployed than there are job openings (latest comparative date: 6.95 million job openings reported on March 31 for February & 7.57 million people unemployed in February).
In addition, the labor force participation rate fell to 61.9 in March. Discounting the Covid era of April, 2020 through December, 2021 the last time the LFPR was this low was February, 1977.
Now economics is defined as the study of the use of scarce resources which have alternative uses.
If AI wipes out all human jobs in our first question above it can fairly be implied (& Elon stated) that AI will supply everything we want & there will be no scarcity meaning there is nothing to economise. In such a utopian world there will be no need for jobs because AI provides an effective unlimited supply of goods & services to meet our demand in which case Professor Donald Boudreaux of George Mason University points out "the prices of all goods & services would be driven to zero" & "no one would need to earn an income. Employment as we know it would be unnecessary, as AI will have rescued humanity from scarcity." In short, who needs a job if our demand drowns in a sea of unlimited supply provided by AI that results in no costs?
Meta Platforms' CEO Mark Zuckerberg has announced he is building a "CEO agent" to help him do his job by getting him information faster. Zuckerberg's goal is for everyone, both inside & outside Meta, to have their own AI agent. In Zuckerbeerg's world it is easy to conjure up an army of robot agents who will eventually do the work of their masters on the road to wiping out all human jobs.
But this utopian world will not happen overnight so we @ least have to address question 2 above in the short term. After all, Keynes' prediction in 1930 of 15 hour work-weeks by 2030 doesn't look like it will happen & retiring @ 40 by the 1990s has already passed us by.
But sadly, every indication points to us not having a sufficient number of people with knowledge & skills to fill these new & different jobs until AI meets & then surpasses our demand. In fact it is because we have this shortage of qualified people that businesses have been making investments in AI in the first place. The stock market is cheering not because it sees a large rise in employment but because it sees a business world that uses metal robots as opposed to the purported human beings who have a hard time even showing up for an interview let alone doing a responsible job.
Other than the Covid era referenced above, there have been more job openings than unemployed people from January, 2018 until July, 2025. During these seven years I have documented several times the difficulty businesses have had finding people who could do the work. As AI started to replace people the past three years the number of job openings fell & the ratio dropped below 1.0 as mentioned above.
These are hard times for many workers & people seeking work. Not only did the ratio of job openings to unemployed workers start to fall after March, 2022 but wage growth has been slowing since the second half of 2022. ZipRecruiter reports that more than a quarter of people who recently changed jobs took pay cuts & 16.3% made lateral moves. That's over 40% of job changers either treading water or losing ground.
Poor education & lack of training are @ the root of our problems as evidenced by Allysia Finley recently reporting that UC, San Diego offers a no credit freshman remedial math course targeting middle & elementary school levels - e.g., adding fractions & rounding numbers. The kicker is that 94% of the freshmen placed in that remedial math course had passed a high school advanced math class being awarded on average an "A-" grade. Talk about grade inflation. Wow.
Wirepoints reports on its website that in 2024 not a single student tested proficient in math in 80 Illinois schools & not one tested proficient in reading in 24 Illinois schools & yet these schools graduated nearly 70% of their students - all of them illiterate &/or innumerate. More than 18,000 students attend zero reading & math proficiency schools in Illinois. What's worse is that these numbers have increased since 2019 when there were 37 Illinois schools with not a single student proficient in math & 21 Illinois schools with not one who could read @ the proficient level. The Wirepoints' website identifies all of these atrocious schools including those that fail to teach both reading & math, the enrollments, graduation rates, & operational spending per student. And every parent of these 18,000 students let this happen to their children. Who could blame employers for turning to AI?
None of these Illinois students could read & none of them went to college. At the same time college graduates who can read but not necessarily do math (just look @ the results of the quizzes that I present from time to time) have their own problems - e.g., finding a job & paying down their student debt. Most of these problems stem from grade inflation & lax graduation requirements.
For instance in October, 2025 Amanda Clayburgh, Harvard Dean of Undergraduate Education, issued an internal report arguing that current grading practices @ Harvard are failing to properly evaluate students.
Dean Clayburgh's report predominantly refers to Harvard's practice of grade inflation - the distortion of grades that artificially & misleadingly raises an average student's true understanding of the course subject matter. It results in a rise of average GPA without a corresponding increase in actual learning or mastery. It cheats high performers by making it difficult to distinguish top performers based on grades thereby negating grades serving their intended purpose.
Key findings of the Clayburgh report: 1) More than 60% of grades given to undergraduates @ Harvard are "A"s, compared to 40% a decade ago, & 2) The median GPA @ graduation has risen to 3.83, up from 3.29 in 1985, with the median grade being an "A" @ Harvard since 2016 (meaning half the class receives an "A" or better). The report goes over the school's grading criteria - namely what does a "C" a "B" or an "A" mean. I saw only one reference to "D" in the entire report & none for "F". People do fail @ things they try like going to college.
The following grading criteria taken directly from the Clayburgh report is currently under review by Harvard STEM departments.
"C" range work is described as adequate & satisfactory comprehension of the course material & the skills needed to work with the course material but a "C" student may make some mistakes in applying concepts to familiar contexts & could struggle with applications beyond familiar ones. When analyzing problems or data a "C" student can identify basic patterns but lacks depth & can make errors. He can propose basic experiments or research projects that aren’t feasible & don’t include a solid understanding of key concepts. On papers/oral presentations a "C" student can adequately explain some key ideas but fundamental aspects of work are unclear or incorrect & he often is unable to extrapolate how a concept or protocol could be applied to a new problem
"B" range work is described as good comprehension of the course material with a good command of the skills needed to work with the course material. A "B" student can apply concepts to familiar contexts with competence & effectively analyze complex problems or data, identifying important patterns & reaching logical conclusions. He can miss some nuance & may make some claims that aren’t well supported. He can propose experiments or research projects that are feasible & indicate a solid understanding of key concepts. A "B" student can create written work/oral presentations that explain main ideas, while demonstrating solid understanding that sometimes contain inconsistencies, are overly simplistic, fail to make a compelling argument, &/or stop short of identifying new applications of concepts.
An "A-" student shows full mastery of the subject & consistently applies concepts to both familiar and new contexts. He can thoroughly analyze complex problems or data, identifying key trends & make well-supported conclusions. He can propose well-designed experiments or research projects that demonstrate a deep understanding of the subject. An "A-" student can create written work or oral presentations that show good understanding of material, good communication skills, & an ability to transfer learning to new situations/domains.
An "A" student is an“extraordinary distinction.” He can apply concepts to new contexts & develop innovative solutions while excelling in analyzing complex problems or data, uncovering subtle patterns & drawing insightful conclusions. He can propose original experiments or research projects that show exceptional creativity or insight. An "A" student can create written work or oral presentations with clear, insightful explanations, an awareness of the audience, & that illuminates the topic in a new way.
The current grading system @ Harvard that awards a preponderance of "A"s ignores the above grading criteria that is under review. It does not honor the superiority of the real "A" students. It harms the real "A" students because it does not distinguish them from the other students. This is a subtle way the colleges are weakening America - by not acknowledging real excellence & making us all the same.
Needless to say this problem does not only belong to Harvard - there is a prevalence @ colleges all across America. Grade inflation & lax graduation requirements put college graduates @ a disadvantage just like the 18,000 Illinois students who can't read have been put @ a horrible disadvantage if they don't do something about it, like take remedial reading courses or be tutored. Of course college graduates also have student loan debt that totals in five or six figures - & now, unable to find a job, have no way to pay that debt down.
Although grade inflation, lax graduation requirements, & AI make for an uneasy combination for most people, I know of two bright spots.
The first bright spot is the 2026 biennial survey of the Council For Economic Education (CEE) that reports 39 states now require a personal finance course for high school graduation, with 22 of those states also mandating economics. These mandates ensure over 13 million students will have access to a dedicated financial education course, marking a dramatic increase from just 6 states in 2019 that required a standalone, semester-long financial literacy course as a graduation requirement - Utah, Missouri, Alabama, Iowa, Mississippi, & Tennessee. CEE found that students who received mandatory financial education made better financial decisions as adults, such as managing credit card debt more effectively - A 2024 study in Delaware projected an estimated $116K lifetime benefit for each participating Delaware student. CEE also found that Texas, California, & Indiana replaced the economics requirement with the personal finance requirement which they count as a negative - they prefer both courses be required for graduation & so do I.
The second bright spot pertains to the annual survey entitled What Will They Learn? that shows the grades of over 1,100 colleges & universities evaluated & given by the American Council Of Trustees & Alumni (ACTA) . Three years ago New College of Florida (NCF) had a failing grade from ACTA - it did not require students to take any foundational courses of value to graduate. Today NCF has improved to a B+ grade placing it in the top 8% of institutions in the country & making it the highest-rated public college or university in Florida. In-state tuition is less than $7,000 a year.
The national tabulation of ACTA's grades for all of the schools is as follows:
I present this information for the benefit of people who are in the process of selecting a college. The above ACTA website is a common sense place to start since ACTA has done a lot of the screening work for you already. There are many hidden gems & plenty of surprises regarding how little it takes to graduate from some schools that are living off their reputations. Employers know these schools.
In 2020 - 2021 the University of Georgia had a similar experience as NCF did this year in that it went from grade "F" to grade "A". I know of one NJ student currently attending UGA & one who graduated after it became grade "A". The latter student had no trouble finding employment in her finance field starting work @ 22 years old with a six figure salary after graduating from UGA. Employers know these schools also.
ReplyDeleteDoug – many thanks for your research pertaining to AI and jobs, especially some encouraging trends that may lead to better educated students.
I have developed predictive AI financial trading software since 2015 for 2 Wall Street investment banks, and then as consultant for proprietary trading firms. I have also taught 22 “hands on” AI courses at 2 universities 2017 – 2023, and 2 more with my consulting LLC in 2024-25.
Quite a few students asked if AI would replace their jobs. My answers always started with “Be a Subject Matter Expert in your career while learning as much as you can about AI and apply it on the job …”. I also pointed out that AI would be part of the “creative disruption” belief of economist Joseph Schumpeter ( century ago ). Quick sum of that is:
1 - New and better Technologies replace outdated ones
2 - Old firms collapse; new firms rise
3 - This process drives long-term economic growth
One example in my industry may be with software developers. AI has greatly disrupted software developers in both positive and destructive ways.
Current employees form multiple industries, who are subject matter experts and who have enthusiastically embraced and learned as much as they can about AI, may catapult their careers.
AI has also created many (1) new critical “AI Infrastructure” jobs and (2) energy jobs.
AI infrastructure jobs are critical. NVIDIA and AMD GPU’s (the accelerated processors for most AI applications) require meticulous and continuous monitoring and analyses to ensure all new AI applications run deterministically at top speed and accuracy – for a firm’s competitiveness. CPU server and network engineers, specialized in optimizing all servers and network routers and switches, who learned how GPU’s operate, and understand intricacies of AI, I believe are in great demand.
Growth in energy jobs will continue as AI requires magnitudes of energy.
Financial advisors may be negatively impacted by AI. An individual investor well versed in use of AI tools from ChatGPT or Claude may individually attain sufficient information to successfully manage their portfolios. Financial advisors who learn AI and determine how to integrate AI into their portfolio management may become the most high in demand. Others may be let go.
AI has progressed from:
(prior to 2010) Almost totally Math based predictive models when Mathematicians ruled it.
(2010 to 2023) Computer scientists with extensive math backgrounds created software libraries for application developers to develop AI predictive models.
(2023 to current ) MAJOR SHIFT -- “Generative” AI rapidly emerged and progressed; it also deals with math but its mastery with making sense with words, and complex questions is its core value. Generative AI is now the most useful and most in demand. This AI allows one to ask questions of AI tools and receive quite accurate answers. I use Generative AI from ChatGPT to save time in developing AI software. In under 2 years its programming capabilities have progressed extremely rapidly. Software developers thus can be much more productive. ChatGPT eliminated much of routine time consuming “grunt” work for software developers. However, ChatGPT likely has lead to many pink slips for 2nd tier software developers; but likely improved career prospects for those subject matter experts who mastered how to keep pace with rapid new AI innovations.
In sum, we are in a period of major employment disruption, probably more significant than any time in history. Creative Disruption has proven to be positive many times in history (recall the dot com and internet booms). Time will tell whether Creative Disruption will once again be positive for the workforce. I truly hope so.
What does a college student major in to best get employed using AI?
DeleteI appreciate your question. My answer will be somewhat biased toward AI for Electronic financial trading - my career.
ReplyDelete🔥 Tier 1 (Best Possible)
• Computer Science + Math (minor or double major)
🔥 Tier 2 (High-performance AI path)
• Computer Engineering + CS or Math
🔥 Tier 3 (Applied but strong)
• CS + Data Science
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🚀 What REALLY differentiates top candidates (this is critical)
Majors alone won’t get you there. The winners do this:
1. Build real AI systems
• Train models (CNN, LSTM, DQN )
• Work with real data (finance, vision, NLP)
2. Understand performance
• Latency, throughput, memory
• Batch size = 1 inference (ULL systems)
• CPU vs GPU vs specialized hardware
👉 This is where 99% of candidates are weak
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3. Specialize early (examples)
• AI for trading (my domain)
• Computer vision
• LLM systems / agents
• Robotics
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4. Internships matter more than GPA
• Top companies:
o OpenAI, Google DeepMind, NVIDIA, Meta
• Or strong startups
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Please follow up if you desire more information. Also if you have chatGPT, ask such questions there. Majority of the time chatGPT answers such questions quite accurately or close to it....... Best of luck entering college and your interest in AI, which is a revolutionary technology ..... but then with few years Quantum computing may become just as revolutionary.