{"id":22626,"date":"2021-02-16T06:50:00","date_gmt":"2021-02-16T06:50:00","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/is-too-late-learn-ai\/"},"modified":"2023-09-05T05:49:15","modified_gmt":"2023-09-05T05:49:15","slug":"is-too-late-learn-ai","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/is-too-late-learn-ai\/","title":{"rendered":"Is It Too Late to Learn AI?"},"content":{"rendered":"\t\t
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Have you missed the train?<\/em><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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AI Saturation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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I regularly share resources to learn AI and data science, whether it\u2019s courses from Google or Harvard or full-length YouTube tutorials.<\/p>\n

At the same time, I hear the concern:\u00a0\u201cIs it too late to learn AI and data science<\/a>?\u201d<\/em><\/p>\n

The concern is that, as millions of students are learning machine learning, the field is becoming saturated. After all, there are a limited amount of AI jobs, especially during a global recession.<\/p>\n

Andrew Ng\u2019s famous Machine Learning course on Coursera has close to 4 million students.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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As of writing, if you search for \u201cMachine Learning\u201d on LinkedIn Jobs, you\u2019ll find just over 100,000 jobs.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Clearly, there are far more students than open jobs \u2014 a ratio of almost 40:1, just looking at the number of students in a single Coursera course.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Why It\u2019s Still Worth It<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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That said, learning AI is still worth it, for a number of reasons.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Intrapreneurship<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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First off, let\u2019s talk about intrapreneurship. AI has become far easier and faster to build and deploy than ever before \u2014 especially given no-code AI tools like\u00a0Obviously<\/a>.AI\u00a0\u2014 which means that employees are in a position to add more value by adding AI to their skillset.<\/p>\n

These intrapreneurs finding AI use-cases in their organizations don\u2019t add to the number of open jobs on LinkedIn, but there are countless examples.<\/p>\n

There\u2019s a huge incentive for any employee to become an AI intrapreneur: The potential to automate the repetitive, boring parts of their work, and focus on the creative, human-centered tasks. Not to mention, AI skills can boost your salary and career.<\/p>\n

For example, marketers could use AI to predict customer behavior, build personas and identify top demographics. Retail employees could optimize assortments, predict inventory burn, forecast staffing needs, and more. Insurance employees could use AI to predict insurance claims, litigation risk, subrogation opportunities and more.<\/p>\n

The possibilities for AI intrapreneurs are endless.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Entrepreneurship<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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There\u2019s another massive field of opportunity not included in the ~100K machine learning jobs out there: Entrepreneurship.<\/p>\n

Entrepreneurship is the riskier flipside of intrapreneurship. It means going your own way, finding new ways to add value in the market, often without backing, support, or stability of any kind.<\/p>\n

At the same time, this high risk comes with the potential for high reward.<\/p>\n

Let\u2019s say you join a Silicon Valley startup as the 30th employee (still early on), and you\u2019re one of the top engineers in your field. According to Holloway, you can expect\u00a00.25%\u20130.5% equity<\/a>.<\/p>\n

If you strike out on your own, as a solo founder, you have 100% equity to start. By bringing own co-founders, employees, and investors, that number will decrease, but there\u2019s a lot more potential to be had.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Constant Learning<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Even if you\u2019re not interested in intrapreneurship, entrepreneurship, or landing a new role, there\u2019s something to be said for constant learning.<\/p>\n

AI is now found in every industry, from the recommendations you get on Amazon, Spotify, Netflix, or Tinder, to the search results you see on Google or YouTube, even to COVID-19 tracking, vaccine development, and vaccine roll-out.<\/p>\n

To stay up-to-date on the latest technologies, and really to understand today\u2019s world, learning AI is a must.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Conclusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Learning AI is worth it, and always will be. Even if the job market gets saturated (which it isn\u2019t yet, as there are still open jobs for those who are qualified), there\u2019s always a potential for creative intrapreneurs and entrepreneurs. To stay relevant, AI skills are quickly becoming a must-have.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Learning AI is worth it, and always will be. Even if the job market gets saturated, there\u2019s always a potential for creative intrapreneurs and entrepreneurs. To stay relevant, AI skills are quickly becoming a must-have.<\/p>\n","protected":false},"author":1057,"featured_media":18735,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97,94,1115,562],"ppma_author":[3899],"class_list":["post-22626","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence","tag-data-science","tag-education","tag-learning"],"authors":[{"term_id":3899,"user_id":1057,"is_guest":0,"slug":"frederik-bussler","display_name":"Frederik Bussler","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/77048ee1649d447e58fc86283614bed5681769df2d4e14fba20c8f955548d290?s=96&d=mm&r=g","user_url":"https:\/\/www.obviously.ai\/","last_name":"Bussler","first_name":"Frederik","job_title":"","description":"Frederik Bussler is Head of Growth Marketing at Obviously AI that makes Data Science effortless for everyone\u2014all without code. With22x speaking engagements including Fortune 50 keynote, he has published 200+ articles from Forbes to Yahoo to Hacker Noon."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22626","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/1057"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=22626"}],"version-history":[{"count":4,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22626\/revisions"}],"predecessor-version":[{"id":32199,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22626\/revisions\/32199"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/18735"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=22626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=22626"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=22626"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=22626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}