Edward Flores's Avatar
published in Blogs
Feb 08, 2021

Why AI Specialists are Getting Paid Huge Money

Some of the tech world’s biggest companies, like Google, Amazon, Facebook, Microsoft, and others are placing huge bets on the future of AI. AI specialists, engineers with extensive AI background, and even a PhDs in mathematics or computer science are being targeted for jobs at some of the biggest tech companies in the world. Indeed, well-known names in the AI field have received compensation in salary and shares in a company’s stock that total single- or double-digit millions over a four- or five-year period. These are lavish salaries even by Silicon Valley standards, and its plain to see just how valuable the industry considers AI – and how quickly the rush is to be first to market.

Salaries are soaring so quickly that an inside joke within the industry is that AI specialists need to be handled like professional athletes, with short-term contracts and salary caps. It’s also true that they often move from company to company and opportunity to opportunity, just like professional ball players do.

At the highest end of the compensation spectrum are executives with experience managing AI projects. In a court filing earlier this year, Google revealed that one of the leaders of its self-driving-car division, Anthony Levandowski, took home over $120 million in incentives before joining Uber last year. Facebook and Amazon are also pouring money into tasks it thinks AI can help solve, like building digital assistants for smartphones and home gadgets and spotting offensive content.

 

 

But these high-profile jobs are not just limited to Silicon Valley and the biggest players in tech. The auto industry is also competing with the tech industry for the same experts who can help build self-driving cars. Uber hired 40 people from Carnegie Mellon’s groundbreaking AI program in 2015 to work on its self-driving-car project.

The primary reason for these exorbitant salaries is the knowledge that AI will only grow in importance in the coming decades, and it is important to fast track research and development now. But there is also a supply issue—there is not a ton of AI specialists out there, and the big companies are trying to sweeten the deal as much as they can so they attract the top talent. Solving tough AI problems is not writing code or building apps—those jobs are a dime a dozen in tech. For AI, in the entire world there are probably fewer than 10,000 people who have the skills necessary to tackle serious artificial intelligence research and application.

Will you or someone you know join this elite club of AI experts?

Related Tickers: AAPL
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

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations.  As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.
Sergey Savastiouk's Avatar
published in Blogs
May 16, 2022
When Is the Next Recession Coming?

When Is the Next Recession Coming?

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?

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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

4 Tips for Fast, Effective Stock Analysis

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