Race Against the Machine.
January 23rd, 2021
Last Updated on January 23rd, 2021
This text was fully written by humans.
SUMMARY / KEY TAKEAWAYS
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Today, the job market moves faster than we are able to follow.
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The job market is influenced by unpredictable, global events known as ”black swans” as well as semi-predictable events triggered by new technologies.
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When new technology becomes popular, it usually leads to the birth of new services and products, and what follows, demand for new types of professionals.
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Therefore, whoever understands technology AND can tell the difference between the real and the apparent innovation, will also be able to understand (and partially predict) the evolution of the job market.
Table of Contents
- The Job Market Moves Faster Than We Can Follow.
- Unpredictable Global Events: The Non-Predictable Part of the Job Market Dynamics.
- How Did the Corona Crisis Change the Job Market?
- New Technologies: The Semi-Predictable Part of the Job Market Dynamics.
- So, How To Predict How New Technologies Will Shape the Job Market?
- Why Is It Important to Follow the Progress in New Technologies?
- What Is Creativity?
- Conclusion: Is the Race Against the Machine Coming Up?
- Never Stop Improving On Your Professional Qualifications.
- How Can Generative AI Tools Improve Your Current Job Performance?
- Read More.
The Job Market Moves Faster Than We Can Follow.
The job market is a complex ecosystem where we all have a role to play. Some of us are close to the beneficiaries of our projects and meet them in daily life.
However, regardless of our role, we tend to wonder:
- What will the job market look like in the future?
- Is it going to be a race against the machine?
- How can we keep up with its development, especially given how fast it goes — in other words, how to stay relevant in the AI economy?
- How should we work on our professional development to open as many doors as possible?
- Given that we are naturally aging, how can we secure positions as professionals 10 to 20 years from now?
These are all valid concerns. Today, the job market is changing faster than we can adapt and move from one profession to another — one of the clearest future of work trends for professionals right now.
We can’t just say to ourselves, “There is a demand for neurosurgeons right now, so let’s become a neurosurgeon!”
Or, “It seems that the stock exchange goes down in recent months. I’ll probably lose my job as a broker… But hey, YouTube is growing fast in the pandemic, so let’s be a YouTuber now!”
Growing in any new discipline, getting a following and/or recognition needs time. It’s hard to “time the market” and learn the exact skills that will have the highest market value soon. So, how do self-navigate the job market well and live without fear in this uncertain environment?
Unpredictable Global Events: The Non-Predictable Part of the Job Market Dynamics.
Rapid changes in the job market happen due to two types of factors. The first one is unpredictable, global events. As Nassim Taleb argues in his seminal book, “The Black Swan: The Impact of the Highly Improbable,” multiple crucial steps in the evolution of mankind happened because of such random and improbable events. This occurred despite our usual attempts to find causes and patterns in them.
Is the corona crisis such an unpredictable situation? Well, research in bats conducted a few years before the pandemic has warned us about the possibility of the global pandemic in humans.
Namely, coronavirus is similar to the one detected in horseshoe bats in China in 2013, Ge et al., 2013, and 2016. The virus also turned out to be deadly to humans (Menachery et al., 2016).
How Did the Corona Crisis Change the Job Market?
Thus, one can still classify the corona crisis as an unpredictable event. After all, for the vast majority of the world population (basically, for anyone who is not familiar with epidemiological studies over bats), it was unpredictable.
The corona crisis largely affected the job market. It prompted businesses to move online much faster than they would otherwise do — a preview of AI and labor market disruption explained at a much larger scale.
It also changed the way remote working was viewed by public opinion. Namely, working from home has suddenly become the default option rather than one of the alternatives.
So, how can we limit the influence of unpredictable events on our professional lives and our professional development? Well, we can’t do too much, simply because we can’t brace ourselves for events that we can’t even imagine.
The only possible precaution is to acquire some sort of financial cushion. In that case, even if these global calamities change our professional plans, they still cannot shake our sense of personal safety.
New Technologies: The Semi-Predictable Part of the Job Market Dynamics.
The second group of factors are the global moves in the job market triggered by the development of new technologies. Tech is a double-sided sword.
According to Business Insider, Christopher Pissarides — an economics professor at the London School of Economics and winner of the Nobel Memorial Prize in Economic Sciences in 2010 — told Bloomberg in a recent interview that workers in IT jobs who are advancing AI are risking making their own roles obsolete in the future. He explicitly called programming GPTs “self-destruction.”
But is this always the case that technology cuts on the number of jobs? Today, millions of people work remotely from home including work on their professional development.
The Internet created thousands of new professions, from (social) media, through e-commerce, online banking and payment systems, to online education and coaching — proof that reskilling for the age of AI has precedent. However, as the machine of globalization, the Internet also eliminated thousands of professions.
For instance, as of today, you probably use Google to plan your vacation rather than walking into the office of the nearest travel agent, which is exactly why reskilling for the age of AI matters. In the era of apps such as Uber, taxi dispatchers are no longer necessary, a small but telling example of how automation is reshaping careers.
So, How To Predict How New Technologies Will Shape the Job Market?
Are these factors predictable? To a certain extent — yes!
Today, VR serves to stream online conferences in 3D (for example, check out Beemup in the Netherlands), create audiovisual arts, or train soldiers in the military. In the times of digitization in business, further progress in VR adoption is predictable.
The tech giants such as Apple or Google will soon produce an affordable, pocket version of the VR headset (in the range of 100 EUR/USD or less). As soon as that happens, its use will be massively adopted around the globe. For instance, with the purpose to:
- Present real estate to (foreign) buyers so that they can purchase properties online without the necessity to visit the property in person,
- Give more efficient online dancing classes,
- Create an alternative to traveling to people who are physically handicapped.
All these future services are easy to predict. It’s just a matter of time before they will appear on the market.
And as a matter of fact, as of early 2024, AI tec absorbs thousands of professionals from other fields, for instance from banking:
Why Is It Important to Follow the Progress in New Technologies?
To put it bluntly, whoever understands technology as well as psychology and sales, will also understand (and partially predict) the job market.
It is not only because new technologies drive the demand for new products and services. It is also because what will be of value to future employers is the direct opposite of what the machines and algorithms of the future will be able to do. This trend can be summarized by three simple principles:
- Every process that can get automatized, will get automatized,
- Any process that can get decentralized, will get decentralized,
- Each process that can get standardized, will become an algorithm converted into a software.
Why is that? Well, the human brain might be the most creative machine in the universe.
However, there is one issue with it. Namely, it burns a lot of energy and minerals.
For worse, there is some annoying body next to it (which not only needs feeding but also buying items such as vacations, iPhones, Starbucks coffees, et cetera.).
Thus, it will always be more costly to use the human brain as labour compared with its silicon substitute. Plus, computers constantly become smarter and smarter (or, you can say, cheaper and cheaper).
What Is Creativity?
Mind that some of the human jobs viewed as creative — such as many research jobs — are not as creative in fact. They could go even today.
For instance, when you take a closer look into Data Science, there is a huge difference in the potential for automatization between simple data science jobs and advanced jobs.
Simple jobs are those that involve cleaning data in standard ways and applying classic algorithms such as clustering schemes or linear regression.
Advanced jobs require some fundamental knowledge about the modeled process and/or engineering skills. It is easy to predict that simple data science jobs will disappear within the next decade, another sign of how automation is reshaping careers. They just cost employers way too much per value that they create.
Yet another example might be translating text. In recent years, the quality of translation by Google Translate improved to a large extent. Just a few years back, the translated text was laughable.
Today, it often resembles human translation so closely that it’s hard to even tell the difference. Computers are also getting better in tasks traditionally viewed as a domain of humans, for example, in assessing sentiment (or, emotions) in the text.
Conclusion: Is the Race Against the Machine Coming Up?
GenAI is the fastest-spreading and adopting technology in the history of mankind — which is exactly why AI and labor market disruption explained is such a pressing topic. A Federal Reserve Bank of St. Louis analysis found that generative AI reached roughly 40% adoption within two years of ChatGPT’s launch — a pace that took the internet about five years and personal computers around twelve. So, what will the future bring?
According to the World Economic Forum’s Report 2023, the short-term projections for the job market 2024-2027 are rather optimistic and we can expect a rather stable job market with roughly equal amount of jobs created and displaced by AI. But in reality, many scenarios might pan out.
On the one hand, AI leads to new scientific achievements. For instance, scientists have recently discovered new antibiotics using AI — for the first time since 60 years.
It is important to learn the difference between real and apparent innovation — a core skill behind how to stay relevant in the AI economy. The apparent innovation is a quantitative change: offering what is already out there, just bigger, faster, and better packaged.
The real innovation is a qualitative change. It means putting together two pieces that were not originally meant to be put next to each other, or looking at a problem from a new angle.
The difference between the two is like the difference between repeating a sentence faster and louder, and rephrasing the sentence using a sense of humor. Computers are terrible at detecting and producing humor (especially, sarcasm). And it will stay this way for a long time.
As a rule of thumb, it is a good practice to follow developments in Metaverse on a daily or weekly basis, one small habit that supports how to future-proof your career against AI. For instance, you could utilize new, AI-powered solutions that will allow you to keep in touch with the developments in Metaverse and web3. Namely, tools such as Deeep can provide you a new web-based news feed curated using AI.
Please find some more predictions on the future of the job market in times of AI in Natalia Bielczyk’s lecture “Are we Doomed? AI and Your Job.”
Never Stop Improving On Your Professional Qualifications.
As discussed in this article, the job market is highly unpredictable today, which is itself one of the defining future of work trends for professionals. Certain agencies such as Pearson try to time and predict the skills in demand in the job market with a few years of advantage. However, in general, the demand in the job market of the future is hard to predict in a systematic way.
Furthermore, along with growing computational capacity related to Moore’s law and increasing model sizes, Large Language Models (LLMs) are acquiring new features and capabilities. Therefore, we can expect that in the future, they will be able to take over many white-collar professions.

And so new professions loom and old professions fall into oblivion every day. It becomes obvious that you will need to work on your professional and personal development constantly.
In this situation, it is a good practice to set checkpoints, and assess and reconsider your professional qualifications every few years — a simple way to think about how to future-proof your career against AI. Or, preferably, every year.
How Can Generative AI Tools Improve Your Current Job Performance?
Firstly, new solutions in Generative AI might help you increase the speed in quality of your current work. For instance, in a recent study, a team of licensed health care professionals compared physician’s and chatbot’s responses to patient’s questions asked publicly on a public social media forum.
The chatbot responses were preferred over physician responses and rated significantly higher for both quality and empathy. This suggests that specialized chatbots can effectively help medical doctors communicate with patients.
So, stay in touch with recent developments in AI, for instance via the webpage www.theresanaiforthat.com and just try things!
Also, join online communities focused on debating on and preparing for the future of work, such as The Future of Work.
Furthermore, perhaps it is good time to start new, prospective studies? You can find the list of compelling Master Programs that will give you great perspectives in the job market in our article “Top 13 Master Programs of The Future.”
Or perhaps, you dream of going for a PhD program? This is a hard career path but when approached strategically, it can turn into a great adventure and end up with fantastic career opportunities, both in academia and beyond, described in the book: “What is out There For Me? The Landscape of Post-PhD Career Tracks” by Natalia Bielczyk.
For more information on how to get admitted to grad school, please check our article “How To Get a PhD? All You Should Know To Get Your PhD Degree.”
Read More.
To learn more about the leading trends in technology, please check our other articles:
1. AI and Machine Learning.
For more discussion on how AI and machine learning – from text to image to chatbots – will influence the job market:
- “Galloping Progress in AI and Machine Learning: How Can It Influence Our Jobs?“
- “How To Deal With AI as a Professional and as Business Owner.“
2. Web3.
To learn about the concept of web3, how it will change the recruitment process and what new professions it will popularize: “What Is Web3? The Future of Web3 and How It Will Affect The Job Market.“
3. Metaverse.
To learn about the concept of Metaverse and how it will change the economy and the job market:
- “What Is Metaverse And How Will It Influence The Economy And Job Market?“
- “3 New Metaverse Trends For 2023“
4. Data Science.
To learn about current trends in data Science and how to start a career in this space:
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Ontology of Value (January 23rd, 2021). Race Against the Machine. Retrieved from: https://ontologyofvalue.com/race-against-the-machine/
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