AI And RPA Will Absolutely, Positively Threaten Your Job
Will AI and RPA take your job?
If this headline doesn’t get your attention, there’s nothing about Artificial Intelligence (AI) or Robotic Process Automation (RPA) to shock or startle you. Will AI and RPA take your job and end your career? It depends on what you do for a living, how old you are, where you live and what kind of educational qualifications you have. When you perform routine or even complex deductive inference tasks that we associate with “knowledge industries”, your job and career are at significant risk:AI and RPA will absolutely positively threaten your job, career, and very professional existence.It would be naive and irresponsible for me to say otherwise – just as it would be naive and irresponsible to tell horse breeders and bus manufacturers that automobiles pose no threat at all, or minicomputer manufacturers that desktop computers do not threaten their markets – because, know They , “There’s no need for anyone to have a computer in their home.” Also, let’s not for a moment believe that low-level automation and AI – combined with lower global labor costs – have been quiet for the past few decades.Automation (generally defined) has already redefined or destroyed millions of jobs and entire industries.While new jobs and industries have definitely been created during this period, the transition pain has been enormous and is likely to increase as the 21st century continues – – and forever as technology continues its relentless march towards a version of the productivity singularity.
Four questions: How old are they? How are you? Where do you live How much and what training do you have? The answers to these questions define your risk profile. McKinsey & Co. predicts AI (broadly defined) will cut 77,000,000 jobs over the next 20 years: “Our scenarios suggest that by 2030, 75 to 375 million employees (3 to 14 percent of the global workforce) will have to change occupational groups.” Bloomberg has developed a tool that can help you determine if you are likely to be automated. According to Bloomberg’s research (based in part on research conducted at Oxford University), “nearly half of all US jobs could be at risk in the coming decades, with poorly paid jobs being some of the most vulnerable.” Compensation and performance managers, accountants, accountants, credit analysts, loan officers, sales representatives, truck drivers, administrative services managers, and even dental assistants are at high risk and “most likely automated”. Some good news? The same research suggests that doctors, surgeons, lawyers, finance managers, pharmacists, teachers, and computer and information systems managers are among the professions that are least likely to be automated. Note that the timing for all of this will vary. Some analysts anticipate significant career shifts to occur by 2030, while others anticipate it will take longer. (It won’t be any longer.)
What you do, where you live, your age, and your level and type of education determine your risk quotient and your risk management strategy. Ironically, AI and RPA can help you automate your risk quotient and risk management strategy through a series of simple if / then statements:
If you are an accountant, live in New York, are 60 years old, have a bachelor’s degree, you can retire without the risk of automation …
If you’re a loan officer, live in Los Angeles, are 30 years old, have a bachelor’s degree, your risk quotient is high: You will likely be affected by automation throughout your career, maybe severely …
If you’re a primary school teacher, live in Washington, DC, are 25 years old, and have a bachelor’s degree, your risk quotient is extremely low (but, according to data, so is your salary) …
You have the idea. The if / then approach to career risk management (another definition of “CRM”) points everyone in the right direction. AI / RPA will threaten jobs at an unprecedented rate. Everyone has to understand objectively where they fit in the value chain in which they live. We also need to keep track of the pace of technological change, which I predict will accelerate rapidly over time, dwarfing any previous rates of change. ((Moore’s Law on Steroids.)
The real challenge is for those who are early in their careers and about to start one.Those who are new or about to join the workforce need to pay special attention to AI and RPA – and plan accordingly.If you are or want to be a telemarketer, loan officer, cashier, paralegal, taxi driver, or fast food cook, you are in big trouble. But if you are, or intend to be, a mental health and substance abuse social worker or occupational therapist, you are relatively safe.Education is the key. But it has to be the right kind of education. According to Workopolis, “STEM (science, technology, engineering and math) education is important today, but it will be crucial in the future as the unskilled workforce will be most affected by automation.However, the proliferation of robots and automated systems will mean an increased need for engineers, technicians and managers to set up, maintain and control the quality of the work done by our mechanized workforce. ”
Yes, emotional intelligence (EQ) is becoming increasingly important, especially for jobs that involve human interaction. Emotions, understanding, empathy – these are things that automation has not yet properly interpreted and dealt with, which means that positions like teachers, doctors, nurses and therapists are safe. The creative areas should be safe for the same reasons, as automated systems may struggle with expressive creativity in areas such as writing, art, design, and music. ”
There’s an old TV series – Hill Street Blues – that started each episode with a warning: “Let’s be careful out there.” Since everyone is thinking about the impact of AI and RPA on their career, this is very good advice.