Next Investors logo grey

AI jobs spike: Hey AI, who actually wrote the Beatles' song catalogue?

Published 19-JUL-2019 10:13 A.M.


5 minute read

Hey! Looks like you have stumbled on the section of our website where we have archived articles from our old business model.

In 2019 the original founding team returned to run Next Investors, we changed our business model to only write about stocks we carefully research and are invested in for the long term.

The below articles were written under our previous business model. We have kept these articles online here for your reference.

Our new mission is to build a high performing ASX micro cap investment portfolio and share our research, analysis and investment strategy with our readers.

Click Here to View Latest Articles

If you didn’t know it, AI is a hit trend

Who should be credited with writing the Beatles music?


Paul McCartney and John Lennon, with the occasional tune by Ringo and George.

But it’s not so simples, and apparently we need a bot to tell us who should be credited.

McCartney claims to have written all the music; a claim Lennon disputed before his untimely departure in 1980. If Bots were around at the time, McCartney may have told Lennon he could stick his authorship right up his bot - which he probably did in one form or another.

Today, according to an article by the Independent "hits penned under the writing partnership of Paul McCartney and John Lennon could be put to bed by artificial intelligence (AI) software which can identify each artist’s musical influence".

Imagine of song writing credits could be determined by bots.

Bots are powerful beings.

And this has been proven by’s latest Fast 50 Report, which tells us we need to get ready for a bot revolution.


Well, jobs related to machine learning and artificial intelligence have spiked in demand.

According to Freelancer (ASX:FLN), which has a current market cap of $434 million, Artificial Intelligence is being used for all kinds of off-the-wall applications, from developing vaccines to determining the authorship of Beatles songs.

That’s more meddling in Beatles music and I just won’t have it.

Lennon McCartney or McCartney Lennon, hmmm... let me think...

Jobs requiring AI skills are only set to grow.

The Fast 50 Report charts the quarterly movement of the top 50 fastest growing and declining job type categories within the start-up’s online marketplace, which includes more than 34 million people across 247 countries, regions and territories around the world.

So, its narrow in its scope only in that it’s a report. It’s still pretty accurate when it comes to trends.

In the Q2 2019 Fast 50 Report, data scientists and engineers pored over the more than 433,000 jobs posted on the site to analyse the latest trends in the job market and identify the skill sets that saw the biggest movement in demand.

“There are a couple of fascinating trends in this quarter's Fast 50 Report,” Chief Executive Matt Barrie said. "The first is the enormous demand for any skill relating to artificial intelligence and machine learning. The potential applications for machine learning technology seem limitless, and we expect demand in this area to continue growing.

"The second big trend is large companies moving towards a more agile, leaner workforce that addresses their immediate needs. This is evident in the number of administrative skills in this quarter's Fast 50, and, anecdotally, in the increasing demand we're seeing for Freelancer Enterprise, our platform solution for large organizations."

The two key trends are the rise in skills related to artificial intelligence, such as Machine Learning, Statistical Analysis and Data Processing, followed by a leaner, more distributed workplace.

Here’s what these trends will influence in future...

Customer Service

According to Forbes, AI will eventually do the heavy lifting for most companies' Customer Service. In the meantime, most customers want the comfort of talking to another human being. The rise in demand for Customer Service is also indicative of the trend towards a leaner, distributed workforce.

Copy Typing

Continuing the trend of the distributed administrative workforce is a strong rise in Copy Typing. The skill saw demand grow by 50.00% in Q2 2019 (from 4,744 to 7,116).


Bookkeeping is yet another administrative skill businesses are handing to freelancers in order to streamline their processes. Demand for Bookkeeping grew 49.19% in Q2 2019 (from 1,047 to 1,562).

Academic Writing

Academic Writing is the first outlier on this quarter's Fast 50 that doesn't illustrate the trends of using freelancers for administrative tasks or machine learning and AI. Nevertheless, demand for Academic Writing skills grew by 42.28% in Q2 2019 (from 2,117 to 3,012). Expect some seasonality in this trend, as the quarter corresponded with the end of the semester for colleges and universities.

Data Processing

The 38.65% rise in demand for Data Processing skills (from 10,896 to 15,107) continues the dominant trend in the Fast 50, the global rise of Big Data and Machine Learning.

React Native

The market for mobile apps is huge, and continuing to grow. According to Statista, global mobile app downloads will grow to 258.2 billion by 2022. Reflecting this trend, demand for React Native skills rose by 37.95% during Q2 2019 (from 1,162 to 1,603). React Native is a framework developed by Facebook for developing native mobile apps for Android or iOS, and as more organizations recognize the opportunity presented by having their own mobile app, we expect demand for skills like this to continue growing.

Statistical Analysis

Big Data continues to get bigger, and is expected to drive $203 billion USD in revenue for companies in 2019. That data requires sophisticated analysis, so it's little wonder Statistical Analysis rose in demand by 36.82% (from 1,222 to 1,672). The ability to analyze and visualize large data trends factors heavily into the next skill in the Fast 50, Machine Learning.

Machine Learning

The 38.65% rise in demand for Data Processing skills (from 10,896 to 15,107) continues the dominant trend in the Machine Learning

Artificial intelligence is dominating the news, and is being used for tasks as varied as identifying suicide risk, to financial forecasting to writing car commercials. Technology like the Freelancer API uses machine learning to merge computer intelligence with human ingenuity, allowing machines to find human talent. It's no wonder, then, that jobs involving Machine Learning saw a 36.66% rise in demand (from 2,144 to 2,930). AI and machine learning engineers are becoming some of the most globally in-demand talent as AI further integrates into daily life, merging human intelligence with computer processing power.

Rising stars


Another vital skill for machine learning and artificial intelligence applications, demand for Algorithm skills rose 32.34% in Q2 2019 (from 2,489 to 3,249). Any skill set related to machine learning is set to be in hot demand, with Statistics also rising 31.83% (from 1,800 to 2,373). Freelancers already skilled in this area are perfectly positioned, while those who have yet to skill up should do so now or risk being left behind.


The recent launch of Arrow Plus powered by Freelancer is providing vital engineering solutions to Arrow Electronics' clients all over the world. The impact of this partnership is already evident, with demand for Engineering skills up 31.93% for Q2 2019. Freelancers with backgrounds in Electrical and Electronic Engineering can also expect to see an uplift in demand for their skills.

The Beatles

Have you seen the movie Yesterday. The Beatles are back!

General Information Only

S3 Consortium Pty Ltd (S3, ‘we’, ‘us’, ‘our’) (CAR No. 433913) is a corporate authorised representative of LeMessurier Securities Pty Ltd (AFSL No. 296877). The information contained in this article is general information and is for informational purposes only. Any advice is general advice only. Any advice contained in this article does not constitute personal advice and S3 has not taken into consideration your personal objectives, financial situation or needs. Please seek your own independent professional advice before making any financial investment decision. Those persons acting upon information contained in this article do so entirely at their own risk.

Conflicts of Interest Notice

S3 and its associated entities may hold investments in companies featured in its articles, including through being paid in the securities of the companies we provide commentary on. We disclose the securities held in relation to a particular company that we provide commentary on. Refer to our Disclosure Policy for information on our self-imposed trading blackouts, hold conditions and de-risking (sell conditions) which seek to mitigate against any potential conflicts of interest.

Publication Notice and Disclaimer

The information contained in this article is current as at the publication date. At the time of publishing, the information contained in this article is based on sources which are available in the public domain that we consider to be reliable, and our own analysis of those sources. The views of the author may not reflect the views of the AFSL holder. Any decision by you to purchase securities in the companies featured in this article should be done so after you have sought your own independent professional advice regarding this information and made your own inquiries as to the validity of any information in this article.

Any forward-looking statements contained in this article are not guarantees or predictions of future performance, and involve known and unknown risks, uncertainties and other factors, many of which are beyond our control, and which may cause actual results or performance of companies featured to differ materially from those expressed in the statements contained in this article. S3 cannot and does not give any assurance that the results or performance expressed or implied by any forward-looking statements contained in this article will actually occur and readers are cautioned not to put undue reliance on forward-looking statements.

This article may include references to our past investing performance. Past performance is not a reliable indicator of our future investing performance.