5 Professions to die dan win because of AI Technology

By Ahmad Faizun

“Robots Could Steal 40% of U.S. Jobs by 2030”

“47% of US jobs could be eliminated by AI over the next 20 years”

"I knew I had just seen the most important advance in technology since the graphical user interface (GUI)." – Bill Gates, founder of Microsoft. And Mr Gates says he believes AI tech will lead to similar advancements.

A GUI is a visual display - allowing a person to interact with images and icons, rather than a display that shows only text and requires typed commands. Its development led to the Windows and Mac OS operating systems in the 1980s, and remains a key part of computing.

Tesla CEO Elon Musk recently declared his fear that AI is likely to destroy humankind, and that ‘a handful of major companies will end up in control of AI systems with “extreme” levels of power‘, claiming that ‘AI is an existential risk for human civilisation and creators must slow down‘.

Research giant PwC has predicted that AI will replace up to 40% of jobs by 2030, with the financial sector being the most vulnerable to automation. So, it pretty much looks as though the AI disruption is already happening.

A 2013 University of Oxford study found that 47% of US jobs could be eliminated by AI over the next 20 years, that prediction appears to have been off-base. A recent Goldman Sachs study found that generative AI tools could, in fact, impact 300 million full-time jobs worldwide, which could lead to a "significant disruption" in the job market.

Approximately half of all businesses have already begun adopting some form of AI into their operations to automate processes, cut costs, and reduce staff. These changes are inevitable, yet many employees feel apprehension due to the fear that their positions may be replaced by technology within five years.

When you add this fact with other statistics, such as 49% believing people are losing their jobs because of AI. Then it becomes clear that there is cause for concern among today’s workforce about their job security in a world where robotics and AI are becoming increasingly pervasive. These stats demonstrate how people need better protection from potential job displacement driven by automation initiatives throughout business operations.

What is this AI things? And why we need to know and embrace it, or else, be eliminated by it?

Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by humans or by other animals. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), automated decision-making, and competing at the highest level in strategic game systems (such as chess and Go).

In other words, Artificial Intelligence (AI), Ability of a machine to perform tasks thought to require human intelligence. At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving.

History of artificial intelligence: Key dates and names

Brief History of Artificial Intelligence: from Turing to Chat GPT

AI has a rich history that stretches back to the mid-20th century, when pioneers like Alan Turing, John McCarthy, Marvin Minsky, and Claude Shannon began exploring foundational concepts like artificial neural networks, machine learning, and symbolic reasoning. Over the years, AI research has gone through periods of waxing and waning, including the AI winter of the 1970s and 1980s, and the subsequent revival of machine learning algorithms in the 1990s. In recent years, deep learning algorithms have enabled computers to process and interpret complex data, leading to breakthroughs in fields like natural language processing and computer vision. The EU has also recognized the importance of ethics in AI and established a deadline of 2024 for companies to comply with new AI regulations. In 2022, the release of ChatGPT, a large language model trained by OpenAI, demonstrated the enormous potential of AI for transforming the way we communicate and interact with machines. In the years to come many models like the ones trained by OpenAI are going to find themselves integrated into more and more systems such as word processing software, search engines and many more.

The idea of 'a machine that thinks' dates back to ancient Greece. But since the advent of electronic computing (and relative to some of the topics discussed in this article) important events and milestones in the evolution of artificial intelligence include the following:

1950: Alan Turing publishes Computing Machinery and Intelligence. In the paper, Turing—famous for breaking the Nazi's ENIGMA code during WWII—proposes to answer the question 'can machines think?' and introduces the Turing Test to determine if a computer can demonstrate the same intelligence (or the results of the same intelligence) as a human. The value of the Turing test has been debated ever since.

1956: John McCarthy coins the term 'artificial intelligence' at the first-ever AI conference at Dartmouth College. (McCarthy would go on to invent the Lisp language.) Later that year, Allen Newell, J.C. Shaw, and Herbert Simon create the Logic Theorist, the first-ever running AI software program.

1967: Frank Rosenblatt builds the Mark 1 Perceptron, the first computer based on a neural network that 'learned' though trial and error. Just a year later, Marvin Minsky and Seymour Papert publish a book titled Perceptrons, which becomes both the landmark work on neural networks and, at least for a while, an argument against future neural network research projects.

1980s: Neural networks which use a backpropagation algorithm to train itself become widely used in AI applications.

1997: IBM's Deep Blue beats then world chess champion Garry Kasparov, in a chess match (and rematch).

2011: IBM Watson beats champions Ken Jennings and Brad Rutter at Jeopardy!

2015: Baidu's Minwa supercomputer uses a special kind of deep neural network called a convolutional neural network to identify and categorize images with a higher rate of accuracy than the average human.

2016: DeepMind's AlphaGo program, powered by a deep neural network, beats Lee Sodol, the world champion Go player, in a five-game match. The victory is significant given the huge number of possible moves as the game progresses (over 14.5 trillion after just four moves!). Later, Google purchased DeepMind for a reported USD 400 million.

2023: A rise in large language models, or LLMs, such as ChatGPT, create an
enormous change in performance of AI and its potential to drive enterprise value.
With these new generative AI practices, deep-learning models can be pre-trained on
vast amounts of raw, unlabeled data.

The first thing to watch and embrace is AI in field of education.

Learning and teaching are crucial for our development. Taking the right education and courses will help you overcome the upheavals that will be brought on as we move to a society that is increasingly relying on technology. You will need to focus more on sciences, especially computer science and related courses. By doing so, you'll be in a better position to fill vacancies in tech in the future.

It is great to see that many companies are taking it upon themselves to help their employees acquire the right skills. That said, having these skills as you enter the workforce will be beneficial for you as employers will see you as an asset who will not take up additional resources to take up tech jobs.

You will also need to do a lot of research to find out which jobs are likely to be automated in the future.

You do not want to spend years acquiring skills only to be replaced by software or a robot.

We have analysed and summarized that:

· Professions or jobs in the future, that most probable, be replaced by AI or robots are jobs that has routine tasks and repetitive orders, like translator, paralegal, civil servant at bureaucrat or administration level, factory’s worker for “non-customized” products, etc.

· Professions or jobs in the future, that sustain or less likely be replaced by AI or robots are jobs that has a lot of creativity or enhancement processes, like artist, doctors, politician or government policy maker, illustrator, analyst, as AI cannot see out of the box and have intuition, like humans.

· Professions that can surf above the advancement of AI Technology, like new professions such as Data Scientist, Machine Learning Specialist, Big Data dan Analytical Specialist and other profession, such as accountant, auditor and information security specialist that use AI in their daily activities.

The Professions Most at Risk and may force to extinct (die)

Telemarketer – 99% Chance of automation
Loan Officer – 98% Chance of automation
Cashier – 97% Chance of automation
Paralegal and Legal assistant – 94% Chance of automation
Taxi driver – 89% Chance of automation

The Safest Professions

Mental health and substance abuse social worker – 0.3% Chance of automation
Occupational therapist – 0.35% Chance of automation
Dietitian and nutritionist – 0.39% Chance of automation
Physician and surgeon – 0.42% Chance of automation
Clergy – 0.81% Chance of automation

The Professions that may continue to grow (win)

Data Scientist
AI Programmer
Researchers
Analyst
Information Security Specialist

Why these professions may strive and win the future? Artificial Intelligence (AI) tools can be handy for career growth and development. Because they are the early adopters and heavy users of AI technology. Examples of AI tools that can be used to increase their jobs productivities:

1. Resume Screening: AI-powered tools can analyse your resume and suggest improvements to help you stand out from other applicants. They can also help recruiters quickly identify relevant keywords and qualifications.Job Search: AI-powered job search engines can help you find relevant job postings based on your skills, experience, and preferences. They can also recommend jobs that you might have yet to consider.

2. Personalised Learning: AI-powered platforms can provide customised learning experiences tailored to your needs and goals. These platforms can analyse your strengths and weaknesses and provide targeted recommendations for improving your skills.

3. Predictive Analytics: AI-powered tools can analyse your performance and provide insights into your strengths and weaknesses. They can also predict your likelihood of success in specific roles or industries.

4. Virtual Assistants: AI-powered virtual assistants can help you manage your schedule, prioritise tasks, and even provide career advice. Virtual Assistants can also help you stay organised and on top of important deadlines.

What to do as employer? Support The Employee Evolution!

Giving employees access to the tools they need to manage and grow their careers -- from the convenience of a work culture they’ve already adopted -- can be a game-changer in retaining top talent and filling critical roles.

Effective career progression plans will soon be the expectation, not the exception. And why not? They can lay out a practical, goal-oriented framework for everyone involved, producing a win for employers and their workforce now and into the future.

According to LinkedIn’s 2021 Workplace Learning report, managers are 3.3x more likely to still be with their company in two years if offered the room to learn and grow. Proof that when you invest in people, they will invest in you. Between artificial intelligence and the careful deployment of skills-oriented content, anyone with the intrinsic motivation to grow can benefit.

Artificial intelligence and machine learning need to be seen as allies for every single person interested in pursuing further education or improving a career path. However, this is not really the case at the moment. So many are not aware of how technology can help them or simply do not trust it enough to take advantage of the opportunities available. With this short notes, we hope many people start to look for the right education for their future AI-enable tools, adopt the right AI-tools to enhance their careers and stay alive! Do not follow the Dinosaurs steps, where they extinct due to lack of competence in transforming themselves into a new world.

Reference:

https://www.bbc.com/news/technology-65102150

https://www.bbc.com/news/technology-65032848

https://bhc.libguides.com/c.php?g=1301302&p=9561894

https://www.businessinsider.com/chatgpt-jobs-at-risk-replacement-artificial-intelligence-ai-labor-trends-2023-02#customer-service-agents-10

https://informationsecuritybuzz.com/top-ai-jobs-taking-over-automation/

https://rojoconsultancy.com/blogs/ai-and-the-future-of-work/

https://fortune.com/2017/03/24/pwc-robots-jobs-study/

https://www.accenture.com/id-en/careers/explore-careers/area-of-interest/ai-and-analytics-careers

https://request.bestcolleges.com/shorelight/?publisher=bestcolleges.com&providerProgramId=30029&correlationId=cce5b5fe-2063-40d6-b89b-908b3fa3567b&trafficSource=organic&heclid=3d9aef14-5fc0-426b-83c5-5495fb79ef8d

https://www.daijob.com/en/jobs/search_result?jt[]=614&job_types[]=614

https://aisingapore.org/home/careers/