John Jacques's Avatar
published in Blogs
Feb 09, 2021

These Professions Could See Big Benefits from AI

As Artificial Intelligence becomes more mainstream and applications spread to more businesses and areas of business, there is a mounting fear that jobs will be destroyed in the process. This mindset causes many to resist the idea of AI’s rise, but it shouldn’t – it’s possible, perhaps even likely, that AI will actually create jobs on net.

Indeed, a recent report by Gartner indicated that while AI could eliminate 1.8 million jobs, it may also create 2.3 million jobs in the process. That’s a net job creation of 500,000 jobs.

The restructuring of the ‘modern,’ AI-driven economy could be messy. It will almost certainly not result in those net 500,000 arriving immediately, and it may take years to develop a workforce with an entirely new set of skills. But for those who are game and willing to learn, the future is bright.

In the immediate future, there are four professions in particular that could see an immediate and voluminous boost, as more companies adopt AI and as it envelops more aspects of the economy more quickly. Here they are:

1) Data Scientists — these are the people who analyze data to help companies work more efficiently and make smarter business decisions. In the past, data scientists had to manually analyze huge data sets to arrive at conclusions, but now AI can do much of the heavy lifting for them. But the AI cannot necessarily arrive at the action items businesses should take once the data is analyzed – a data scientist can. This profession is essentially part mathematician, part computer scientist, and part visionary. For data scientists, AI is like having an assistant on steroids. According to IBM, demand for data scientists could soar by 28% by 2020, with annual demand for new data scientists hitting 700,000 per year.

2) Data Labeling Professionals — if there is a “blue collar” job that could emerge from the revolution in AI, it could be in the field of data labeling. These people are needed to take raw data, clean it up, and organize it before feeding it to the machines. This allows businesses to train the AI to perform new tasks.

3) AI/Machine Learning Engineers — these are experts in computer science who generally have strong coding abilities. 10 years ago, these computer scientists would generally just find work in the field of academia, but oh how things have changed over the last few years. Now, with every type of industry looking to integrate AI into business functions, this is one of the more highly sought after professions in the field. Going forward this is not likely to change.

 

 

4) AI Hardware Specialists — much like data labeling professionals, this profession may also be considered a “blue collar” job in the AI field. There is surging demand for the hardware that powers AI, such as GPU chips and hardware architecture that mirrors the design of neural networks. This could lead to a revolution in the ailing manufacturing industry, with a pivot to high tech manufacturing.

AI is likely to result in new industries, sales opportunities, and efficient production systems that will allow companies to scale and contain costs like never before. This will actually help create jobs in the long run, even though in the short run it could destroy many in its path. For new workers entering the workforce, it is more essential than ever to have technical training in computer science and technology to be equipped to find success in the new economy. Changes are happening fast.

John Jacques's Avatar
published in Blogs
May 16, 2022
A.I. Stock Market Predictions: Head & Shoulders

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I.  Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.
Edward Flores's Avatar
published in Blogs
Apr 29, 2022
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

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Sergey Savastiouk's Avatar
published in Blogs
May 16, 2022
When Is the Next Recession Coming?

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However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.
Sergey Savastiouk's Avatar
published in Blogs
Mar 14, 2023
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Dmitry Perepelkin's Avatar
published in Blogs
Mar 14, 2023
5 Habits that Lead to Successful Investing

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders.  Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.
Allana's Avatar
published in Blogs
Mar 23, 2023
What’s the Difference Between Data Analytics and Machine Learning?

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.
Sergey Savastiouk's Avatar
published in Blogs
Mar 13, 2023
4 Tips for Fast, Effective Stock Analysis

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With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence.  Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.
Sergey Savastiouk's Avatar
published in Blogs
Mar 20, 2023
5 Golden Principles in Investing

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You have enough faith in that stock, based on research, that the return will equal or exceed the investment.  Do unto others.The principles outlined here will ensure that happens.  Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.
John Jacques's Avatar
published in Blogs
Mar 24, 2023
If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

Some of the world’s biggest financial institutions have devoted multi-million dollar budgets to developing algorithms that can find patterns in the market, identify trends, and perform automated trading designed to take advantage of even the smallest price movements. The AI revolution is so big that as it stands today, the world’s five biggest hedge funds all use systems-based approaches to trade financial markets.Indeed, quantitative trading hedge funds now manage $918 billion (according to HFR), which amounts to 30% of the $3 trillion hedge fund industry – a percentage continues to grow with each year that passes.
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading