And while there\u2019s been much fear around AI taking our jobs away, the new technology will, in fact, give rise to myriad new jobs for human beings. For example, high-paying<\/a> roles like prompt engineer \u2014 essentially, a master of the art of crafting prompts for GPT interfaces \u2014 and AI product manager are currently trending on popular job search sites. <\/p>\n\n\n\n According to a recent Salesforce-sponsored IDC white paper<\/a> of 500 organisations using AI-powered solutions, the next 12 months will also see a sharp increase in hiring for data architects, AI ethicists, and AI solutions architects. That same report predicts 11.6 million new jobs will be created within the Salesforce ecosystem alone over the next six years.*<\/p>\n\n\n\n AI needs people in control in order for it to work properly within our society. And members of the workforce, like you, have the opportunity now<\/em> to hone existing skills across various industries and learn new skills<\/a> to grow with the economy.<\/p>\n\n\n\n \u201cThe exciting thing about these tools is they\u2019re nascent and they’re largely democratised,\u201d said David Berthy, senior director of Salesforce Futures. \u201cSo, if people have the volition, they can go out and learn how to increase their own value.\u201d <\/p>\n\n\n\n Platforms such as Salesforce\u2019s Trailhead, Coursera, LinkedIn Learning, and Udemy all offer free and paid certification courses for in-demand AI-related skills. <\/p>\n\n\n\n From understanding the basics of AI to writing better prompts, numerous free courses exist on Trailhead, Salesforce\u2019s online learning platform, to help you get ahead in the world of AI and generative AI.<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t Let\u2019s start by clearing something up: Yes, AI will likely eliminate repetitive job functions \u2014 scheduling social media posts, sifting through resumes, poring over data, answering basic customer service questions, sending follow-up emails \u2014 but that will free up people to be more strategic, creative, and productive in their current roles. <\/p>\n\n\n\n People will now have time to, well, be people. If you\u2019re in sales or customer service, you can now devote more time to interacting with customers to create even better relationships. In marketing? You can spend more focused time on strategic thinking or creative projects. And if you work in the legal or healthcare fields, AI can help analyse and research contracts or help interpret MRIs and X-rays, respectively.<\/p>\n\n\n\n Not all new AI jobs will be as obvious as those in engineering or data-related fields. Jobs in healthcare, finance, graphic design, and more will evolve thanks to the assistance of smart AI. <\/p>\n\n\n\n \u201cAI will be sort of a background to everything,\u201d said Chris Poole, AI technical consulting lead in Salesforce\u2019s global AI practice in professional services. \u201cI think it’s going to be very interesting to see.”<\/p>\n\n\n\n What\u2019s new and interesting to the AI curious? Here are a dozen jobs to look out for \u2014 some that currently exist (if only in early iterations), and some that Berthy envisions existing in the near term. Is one in your future? <\/p>\n\n\n\n Prompt engineers<\/a> excel at writing prompts for AI tools, like a GPT product or chatbot, to get the most accurate or desired results. Some refer to prompt engineering as \u201cAI whispering\u201d because you\u2019re essentially guiding the generative AI product to give you a creative solution to your question or prompt.<\/p>\n\n\n\n An AI trainer<\/a> works behind the scenes to make sure an AI algorithm does what it\u2019s supposed to do. The trainer prepares heavy data sets to teach chatbots how to think and interact with user inputs so the AI responds with more natural-sounding human language. Trainers also fine-tune the data and systems to achieve proper outcomes. Simply put: \u201cAI trainers teach AI systems how to think, interact, and be genuinely useful,\u201d according to Boost.AI.<\/p>\n\n\n\n As AI technology rapidly grows and changes, organisations will need people to optimise personal learning at scale, Berthy said. Not only will these roles help train people on AI systems and how to work alongside AI copilots, but they\u2019ll also refine the ways in which people learn. \u201cCompanies that have better versions of [learning systems] will be better equipped to adapt these new technologies,\u201d Berthy said. <\/p>\n\n\n\n As companies continue to implement AI technologies, someone will need to teach employees how to use them. AI instructors teach people the skills they\u2019ll need to advance their careers, whether directly or indirectly involved with AI. They\u2019re responsible for developing curriculum and teaching methods, leading hands-on classes and lectures, and more around AI education. <\/p>\n\n\n\n Even though it can understand and interpret human language, AI is not human and does not have feelings. It doesn\u2019t understand nuance and it can\u2019t interpret emotion. That\u2019s where a sentiment analyser comes in. They work with a sentiment analysis<\/a> program to determine whether data pulled off the internet, like social media comments or product feedback, is positive, negative, or neutral, and to identify its emotional tone.<\/p>\n\n\n\n A stitcher is a generalist who uses AI to combine a range of skills held by multiple roles into one role or workflow. For example, this job will use AI to more quickly stitch together modular software tools into workflows that create unique value for customers, Berthy said. So, instead of having multiple people work on a project from design and storytelling to engineering and overall business implementation, the stitcher will tackle it all by using AI. <\/p>\n\n\n\n This role will help people living and working in a digital-first world and working with AI to gain basic interpersonal skills like relational intelligence, empathy, active listening, and connecting in face-to-face interactions. It\u2019s similar to a business coach, but focused on helping people who work behind a screen or mostly with machines.<\/p>\n\n\n\n This role will use data and intelligence to have a bird\u2019s-eye view across a company, and determine where AI could help people be more productive. This person will use AI to review how people and teams work, and highlight productivity gaps to increase overall efficiency.<\/p>\n\n\n\n As AI regulations<\/a> continue to get refined globally, an AI compliance manager<\/a> ensures an organisation\u2019s AI processes adhere to relevant regulations, ethical standards, and industry guidelines. They make sure data-handling practices align with privacy laws and also mitigate AI\u2019s potential impact on an organisation.<\/p>\n\n\n\n If AI technology gets into the wrong hands, it can quickly become dangerous. The AI security manager<\/a> will be an important role within an organisation to ensure AI systems are used properly. They\u2019ll also protect against vulnerabilities and security threats. <\/p>\n\n\n\n The newest role to enter the C-suite, the CAIO<\/a> sets the overall AI strategy for an organisation. This includes the responsible and ethical design, development, and implementation of all AI tech produced by the company. <\/p>\n\n\n\n The chief data and analytics officer oversees all things related to data and analytics in a company. Sometimes this role is shared by two people, one as chief data officer (CDO) and the other as chief analytics officer (CAO). <\/p>\n\n\n\n With all of these new AI jobs emerging, it\u2019s time to embrace training and start playing around with the free tools<\/a> at your disposal. <\/p>\n\n\n\n “Don’t be afraid of the tools,\u201d Poole said. \u201cLook at it as a helper that can improve your way of life and your work.”<\/p>\n\n\n\n Online learning platforms are making it easier to access these tools and skill up, said Aleksandra Radovanovic, senior product manager of business technology at Okta, a cloud-based identity management service that provides single sign-on solutions for businesses. She said to identify relevant skills and look for online courses to help build them. Trying to gain practical experience, even through certification courses, will also help.<\/p>\n\n\n\n \u201cThe people who embrace the changes and the opportunity they create and increase their own learning are the ones who will have the brightest futures,\u201d Berthy said. \u201cYou can capture that ethos and give people some hope because there’s enormous opportunity to up your own marketability.\u201d<\/p>\n\n\n\nWhat you can do now<\/h3>\n\n\n\n
Learn new AI-related job skills<\/h2>\n\t\t\t\t\t\t\t
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\n\t\t\n\t<\/div>\n\n\n\nAI will eliminate repetition and create new skills and roles <\/h2>\n\n\n\n
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How generative AI is creating new careers \u2014 12 roles to consider<\/h2>\n\n\n\n
Prompt engineer<\/h3>\n\n\n\n
AI trainer<\/h3>\n\n\n\n
AI learning designer<\/h3>\n\n\n\n
AI instructor<\/h3>\n\n\n\n
Sentiment analyser<\/h3>\n\n\n\n
Stitcher<\/h3>\n\n\n\n
Interpersonal coach<\/h3>\n\n\n\n
Workflow optimiser<\/h3>\n\n\n\n
AI compliance manager<\/h3>\n\n\n\n
AI security manager<\/h3>\n\n\n\n
Chief AI officer<\/h3>\n\n\n\n
Chief data and analytics officer (CDAO)<\/h3>\n\n\n\n
How to prepare for new AI careers<\/h2>\n\n\n\n