GET DAILY SIGNALSWhy 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?
Contributor
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
AAPL in upward trend: price may ascend as a result of having broken its lower Bollinger Band on November 03, 2026
AAPL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 27 of 29 cases where AAPL's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 37 of 57 cases where AAPL's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 65%.
AAPL moved above its 50-day moving average on November 04, 2026 date and that indicates a change from a downward trend to an upward trend.
Following a +2.57% 3-day Advance, the price is estimated to grow further. Considering data from situations where AAPL advanced for three days, in 230 of 351 cases, the price rose further within the following month. The odds of a continued upward trend are 66%.
The Aroon Indicator entered an Uptrend today. In 189 of 305 cases where AAPL Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 62%.
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on November 05, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on AAPL as a result. In 36 of 66 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 55%.
The Moving Average Convergence Divergence Histogram (MACD) for AAPL turned negative on October 28, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 45 similar instances when the indicator turned negative. In 25 of the 45 cases the stock turned lower in the days that followed. This puts the odds of success at 56%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AAPL declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 57%.
Fundamental Analysis (Ratings)
The Tickeron SMR rating for this company is 11 (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron Profit vs. Risk Rating rating for this company is 13 (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 92, placing this stock better than average.
The Tickeron Price Growth Rating for this company is 28 (best 1 - 100 worst), indicating outstanding price growth. AAPL’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron PE Growth Rating for this company is 35 (best 1 - 100 worst), pointing to consistent earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Valuation Rating of 93 (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: AAPL's P/B Ratio (46.471) is very high in comparison to the industry average of (3.907). P/E Ratio (39.083) is within average values for comparable stocks, (4.104). Projected Growth (PEG Ratio) (2.709) is also within normal values, averaging (4.647). Dividend Yield (0.003) settles around the average of (1.743) among similar stocks. P/S Ratio (10.526) is also within normal values, averaging (4.260).
The Tickeron Seasonality Score of 95 (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
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a manufacturer of mobile communication, media devices, personal computers, and portable digital music players
Industry ComputerPeripherals
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