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?
On April 25, 2024, the Stochastic Oscillator for AAPL moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 47 instances where the indicator left the oversold zone. In of the 47 cases the stock moved higher in the following days. This puts the odds of a move higher at over .
The Momentum Indicator moved above the 0 level on April 29, 2024. You may want to consider a long position or call options on AAPL as a result. In of 70 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for AAPL just turned positive on April 25, 2024. Looking at past instances where AAPL's MACD turned positive, the stock continued to rise in of 42 cases over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where AAPL advanced for three days, in of 327 cases, the price rose further within the following month. The odds of a continued upward trend are .
AAPL moved below its 50-day moving average on April 30, 2024 date and that indicates a change from an upward trend to a downward trend.
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 of 62 cases within the following month. The odds of a continued downward trend are .
AAPL broke above its upper Bollinger Band on April 11, 2024. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for AAPL entered a downward trend on April 25, 2024. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 89, placing this stock better than average.
The Tickeron SMR rating for this company is (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 Seasonality Score of (best 1 - 100 worst) indicates that the company is fair valued 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.
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady 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 (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 (best 1 - 100 worst) indicates that the company is slightly 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: P/B Ratio (35.461) is normal, around the industry mean (79.080). P/E Ratio (26.429) is within average values for comparable stocks, (45.119). Projected Growth (PEG Ratio) (2.092) is also within normal values, averaging (1.742). AAPL has a moderately low Dividend Yield (0.006) as compared to the industry average of (0.025). P/S Ratio (6.925) is also within normal values, averaging (68.706).
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a manufacturer of mobile communication, media devices, personal computers, and portable digital music players
Industry ElectronicsAppliances