{"id":7261,"date":"2017-12-13T10:51:54","date_gmt":"2017-12-13T17:51:54","guid":{"rendered":"https:\/\/www.scotthyoung.com\/blog\/?p=7261"},"modified":"2018-03-29T12:47:08","modified_gmt":"2018-03-29T19:47:08","slug":"book-club-average-is-over-november-2017","status":"publish","type":"post","link":"https:\/\/www.scotthyoung.com\/blog\/2017\/12\/13\/book-club-average-is-over-november-2017\/","title":{"rendered":"Book Club: Average Is Over (November 2017)"},"content":{"rendered":"<p><iframe loading=\"lazy\" title=\"Average Is Over  (Book Club, November 2017)\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/8Ngo3UXb8Xg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p class=\"p2\"><span class=\"s1\">Last month we read <a href=\"https:\/\/www.amazon.ca\/Average-Over-Powering-America-Stagnation\/dp\/0525953736\">Average Is Over<\/a> by Tyler Cowen.\u00c2\u00a0In this eye-opening book, renowned economist and bestselling author Tyler Cowen explains that high earners are taking ever more advantage of machine intelligence in data analysis and achieving ever-better results. <\/span><\/p>\n<p class=\"p2\"><span class=\"s1\">Meanwhile, low earners who haven\u2019t committed to learning, to making the most of new technologies, have poor prospects. Nearly every business sector relies less and less on manual labor, and this fact is forever changing the world of work and wages. A steady, secure life somewhere in the middle\u2014average\u2014is over.<\/span><\/p>\n<p><a href=\"https:\/\/soundcloud.com\/user-324815295\/ep-5-average-is-over\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7107 size-full\" src=\"https:\/\/www.scotthyoung.com\/blog\/wp-content\/uploads\/2017\/09\/Podcast-icon.png\" alt=\"\" width=\"261\" height=\"60\" \/><\/a><\/p>\n<p>If you&#8217;d like to read the transcript, <a href=\"https:\/\/www.scotthyoung.com\/blog\/2017-11-book-club-transcript\/\">you may do so here<\/a>.<\/p>\n<p>Here are some of the highlights from this month&#8217;s review. First off, we start with a look at how technology trends (automation, outsourcing, and what I call, &#8220;clustering&#8221;) and how they will change your career path in the future.<\/p>\n<blockquote><p><span class=\"s1\">How should you be planning your own personal development so that you can take advantage of these trends rather than have them take advantage of you?<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">This is a popular topic, it seems like every day you see a new opinion piece about robots taking all of our jobs\u2026 I think a lot of these pieces exaggerate the facts. Personally I think that although the advancements in deep learning and neural nets are impressive, I don\u2019t think we\u2019re on an imminent path and there\u2019s going to be a level of artificial intelligence that can do all the jobs that humans can do.\u00c2\u00a0<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">But what you really want to be doing in your profession is pushing up the scale, because the further you push up the scale, the deeper your skill and competence is, the more you\u2019re going to resist erosion from this middle vacuum of white collar easy to do jobs that will be taken over by machines or outsourced to other countries. <\/span><\/p>\n<\/blockquote>\n<p class=\"p2\"><span class=\"s1\">Next, I discuss Cowen&#8217;s different phases of machine and human relationships in the context of work:\u00c2\u00a0<\/span><\/p>\n<blockquote>\n<p class=\"p1\"><span class=\"s1\">He [Cowen] really maps out a transition path that he imagines we\u2019re going to go through. This isn\u2019t something we go through collectively, meaning that we\u2019re entirely at one stage and then we\u2019re entirely at another stage, but\u00c2\u00a0<\/span><span class=\"s1\">rather, individual industries and individual job positions are going to go through these stages and it may take a short amount of time, or it may have already happened for some&#8230; There are four stages in total.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">The first is \u201cman only\u201d where there\u2019s a human being who is working on a specific job. The next is the \u201chuman + machine\u201d where the human is doing the bulk of the work but is using the software or the tools to facilitate the work. <\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">T<\/span><span class=\"s1\">he next is a \u201cmachine + human\u201d combo where the machine is doing most of the work and the human being is there simply to monitor. To make sure it doesn\u2019t go wrong, to fix common errors, etc. Finally, we have the machine only where now, there\u2019s isn\u2019t really much room for the human being to improve upon the machine\u2019s results. The machine itself gives the best results possible.<\/span><\/p>\n<\/blockquote>\n<p class=\"p2\"><span class=\"s1\">So what does all this mean for your future?<\/span><\/p>\n<blockquote>\n<p class=\"p1\"><span class=\"s1\">For many industries and many types of jobs, these middle two phases where you see majority human being or majority machines but there\u2019s still a team between these two elements, is the type of work is going to change.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">In some ways, this is already the world we live in. This is a world where we\u2019re all using software all the time to do our jobs. Many, many opportunities are coming because the person needs to understand how to use the software better. But I think that with a lot of innovations in machine learning and pattern recognition this is only going to continue and we\u2019re going to have more and more sophisticated software programs that are going to require more and more sophisticated people to employ them.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">Another piece of advice I would offer is learn to work with the algorithms instead of against them so you want to position your career so you are able to benefits from these trends by being something that you can add value to the technological landscape. This is something that is difficult to talk about in general \u2014 it\u2019s going to matter and manifest a lot more in the specifics \u2014 but I think that deep understanding of how technology works and how to apply it is going to be incredibly valuable.<\/span><\/p>\n<\/blockquote>\n<p class=\"p2\">Will we all have to become programmers and engineers to ensure job security in the future?<\/p>\n<blockquote>\n<p class=\"p1\"><span class=\"s1\">One of the mistakes that Tyler Cowen notes that many people make is that they make the erroneous assumption that because innovations are coming from engineering, science, mathematics, technology, and so on, there\u2019s many people who think &#8220;well maybe it\u2019s the case that these are going to be all STEM jobs so the only thing we can do is teach everyone to become a programmer or an engineer&#8221; and what the author suggests here is that that\u2019s not the case. <\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">A lot of the professions that are going to come up are not going to be technical jobs. Instead it\u2019s going to be using technology to do some job task that is not necessarily technical. <\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">What this means that it\u2019s important to understand the technology and be sophisticated in its use, but not necessarily that you have be the one making the technology.<\/span><\/p>\n<\/blockquote>\n<p class=\"p2\"><span class=\"s1\">Feel free to join in on our <a href=\"https:\/\/www.facebook.com\/groups\/543802626007799\/?ref=bookmarks\"><span class=\"s2\">Facebook Group Discussion<\/span><\/a> I\u2019d love to discuss this book with you there, thanks. December&#8217;s book is <a href=\"https:\/\/www.amazon.ca\/Godel-Escher-Bach-Eternal-Golden\/dp\/0465026567\/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1512583391&amp;sr=1-1&amp;keywords=godel+escher+and+bach\">Godel, Escher, Bach: An Eternal Golden Braid<\/a> by Douglas Hofstadter.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Last month we read Average Is Over by Tyler Cowen.\u00c2\u00a0In this eye-opening book, renowned economist and bestselling author Tyler Cowen explains that high earners are taking ever more advantage of machine intelligence in data analysis and achieving ever-better results. Meanwhile, low earners who haven\u2019t committed to learning, to making the most of new technologies, have [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[677,683,3],"tags":[],"class_list":{"0":"post-7261","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-book-club","7":"category-nc-career","8":"category-personal-development","9":"entry"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Book Club: Average Is Over (November 2017) - Scott H Young<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.scotthyoung.com\/blog\/2017\/12\/13\/book-club-average-is-over-november-2017\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Book Club: Average Is Over (November 2017) - Scott H Young\" \/>\n<meta property=\"og:description\" content=\"Last month we read Average Is Over by Tyler Cowen.\u00c2\u00a0In this eye-opening book, renowned economist and bestselling author Tyler Cowen explains that high earners are taking ever more advantage of machine intelligence in data analysis and achieving ever-better results. 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