INDUSTRY UPDATE – Big Tech
Technology is a big subject and one very close to our hearts here at the Barrett Group, among other reasons because it is the co-equal top industry where our clients land executive appointments (along with financial services). We expect to look into “tech” through a number of different lenses. But let us begin with the undeniable juggernauts in this segment, so called “Big Tech Companies.” Why are they “big?” Well, besides everything else, they have the largest market capitalization of all traded companies. (Barring only Saudi Aramco, that would make the ranking at number 4 but is, of course, not in tech; Chart 1.) They are big in other highly relevant ways, too. For example, in the scope and breadth of the number of executives they employ.
As we define executives below, these companies employed 1,876 such positions and added 429 in the last 12 months (Chart 2). One could philosophize about the number of executives per unit market capitalization. By this measure Facebook looks good and Amazon looks less good. But other measures may be more important. For example, Amazon delivered the lion’s share of executive employment growth in this group (301 executive positions). While Facebook showed the least growth (7 executives). Attrition ranged significantly from a low of 0.9% at Apple to a high of 11% at Google and 14% at Facebook. Please note though that these departures could have been motivated by either the executive or the company.
In this Industry Update “executives” will generally refer to the CEO, CFO, COO, and Vice President titles only. Unless otherwise noted, the data in this Update will largely come from LinkedIn. It represents a snapshot of the market as it was at the time of the research. Is LinkedIn truly representative? Here’s a little data: LinkedIn has approximately 722 million users. 174 million in the US. 163 million in Europe. (See Source) It is by far the largest and most robust business database in the world, now in its 18th year. LinkedIn defines the year-over-year change (YOY Change) as the change in the number of professionals divided by the count as of last year. “Attrition” is defined as the departures in the last 12 months divided by the average headcount over the last year.
Per Chart 4, Apple and Amazon secure Vietnam’s place in the chart with high executive growth (45% and 91% respectively). London does well with Apple, Microsoft, and Amazon (50%, 83%, and 40% respectively). And Paris benefits from Amazon and Microsoft (43% and 21%).
We caution readers not to overreact to the high growth rates as the baselines may be very small. For example, Facebook’s 200% growth in Washington, DC-based executives resulted from the addition of just 3 positions. Another example is Apple in Beijing: 10 employees per this data represent 67% growth and 7 in Guangdong (plus 40%). Amazon seems to have been driving growth on multiple continents while others pursue a focus-at-home strategy.
Of course, if you as an executive made your career targeting decisions based on this data alone, you would be guilty of driving by looking in the rearview mirror. These historical data are not necessarily predictive about future hiring practices, though they certainly reveal much about the current footprint, growth dynamics, and skills emphasis so far within these five large employers.
Executives considering these five big employers will also be interested to understand the “title geography” of this landscape. I.e., the respective prevalence of various titles. Chart 6 provides insight covering about 92% of the total executive populations at these companies. Why there are so many CTOs at Microsoft or CEOs at Amazon are good questions. But, in any case, this suggests there is significant opportunity for skilled executives to move in and move up.
We are not able to address the subject of gender diversity at the company level via LinkedIn. However, in general the IT industry shows a very low (13-18%) share of female executives. And while some companies such as Microsoft routinely earn relatively high scores for diversity in general, overall these tech titans are not leaders in gender diversity as far as we can tell.
Dell Technologies seems to have been the largest top ten donor (to Microsoft). Although Amazon also gave up 4 executives in the period (3 to Microsoft and 1 to Google). Intel and IBM also contributed 4 executives to Apple, Google, and Microsoft. While Palo Alto Networks, Facebook, and Apple acquired executive talent from Microsoft. Facebook attracted one executive from Google, just to round out the picture.
Apple’s executives were uniformly closed-mouthed about this with only one each claiming blockchain or machine learning as a skill. And none at all laying claim to artificial intelligence. Facebook’s executives were similarly reticent to share. Google’s executives were more open: 8 cited machine learning and 6, artificial intelligence). But Amazon and Microsoft were much more open, the former numbering 15 on machine learning and 4 on artificial intelligence. While the latter included 26 on blockchain, 64 on machine learning, and 56 on artificial intelligence, with 7, 9, and 2 new hires respectively. In any case, we suspect these skills are much more widely distributed and desired within big tech than their executives’ LinkedIn profiles let on.
Peter Irish, CEO The Barrett Group
Click here to download a printable version: Industry Update – Big Tech
CareerChange.com powered by THE BARRETT GROUP
Cookie | Duration | Description |
---|---|---|
__cfduid | 1 month | The cookie is used by cdn services like CloudFare to identify individual clients behind a shared IP address and apply security settings on a per-client basis. It does not correspond to any user ID in the web application and does not store any personally identifiable information. |
cookielawinfo-checbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-advertisement | 1 year | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertisement". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
bcookie | 2 years | This cookie is set by linkedIn. The purpose of the cookie is to enable LinkedIn functionalities on the page. |
lang | session | This cookie is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website. |
lidc | 1 day | This cookie is set by LinkedIn and used for routing. |
Cookie | Duration | Description |
---|---|---|
YSC | session | This cookies is set by Youtube and is used to track the views of embedded videos. |
Cookie | Duration | Description |
---|---|---|
_ga | 2 years | This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. |
_gcl_au | 3 months | This cookie is used by Google Analytics to understand user interaction with the website. |
_gid | 1 day | This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form. |
_uetsid | 1 day | This cookies are used to collect analytical information about how visitors use the website. This information is used to compile report and improve site. |
Cookie | Duration | Description |
---|---|---|
_fbp | 3 months | This cookie is set by Facebook to deliver advertisement when they are on Facebook or a digital platform powered by Facebook advertising after visiting this website. |
bscookie | 2 years | This cookie is a browser ID cookie set by Linked share Buttons and ad tags. |
fr | 3 months | The cookie is set by Facebook to show relevant advertisments to the users and measure and improve the advertisements. The cookie also tracks the behavior of the user across the web on sites that have Facebook pixel or Facebook social plugin. |
IDE | 1 year 24 days | Used by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile. |
MUID | 1 year 24 days | Used by Microsoft as a unique identifier. The cookie is set by embedded Microsoft scripts. The purpose of this cookie is to synchronize the ID across many different Microsoft domains to enable user tracking. |
personalization_id | 2 years | This cookie is set by twitter.com. It is used integrate the sharing features of this social media. It also stores information about how the user uses the website for tracking and targeting. |
test_cookie | 15 minutes | This cookie is set by doubleclick.net. The purpose of the cookie is to determine if the user's browser supports cookies. |
VISITOR_INFO1_LIVE | 5 months 27 days | This cookie is set by Youtube. Used to track the information of the embedded YouTube videos on a website. |
Cookie | Duration | Description |
---|---|---|
_gat_gtag_UA_1327882_1 | 1 minute | No description |
_gat_gtag_UA_1327882_6 | 1 minute | No description |
_gat_UA-1327882-1 | 1 minute | No description |
_uetvid | 16 days 6 hours | No description |
AnalyticsSyncHistory | 1 month | No description |
asp_transient_id | session | No description |
CONSENT | 16 years 10 months 3 days 7 hours | No description |
UserMatchHistory | 1 month | Linkedin - Used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences. |
X-Mapping-iliahmoa | No description |