As more and more companies integrate artificial intelligence into the workplace, what does this mean for our future and our careers?
If you just think about the last 5 years, how the conversation among your family and friends has changed. Some of you may not talk about technology at all, but we can admit that it's hard not to think about it being all around us.
The recently released ChatGPT and now GoogleBard are taking the world by storm with their amazing features. You start looking at these tools and figuring out how they can improve your work life, your company's processes, your personal life, etc.
Artificial intelligence is automating tasks that were once only done by humans. The relevance of automating certain tasks to make human life easier will only continue to grow. Some might say we're lazy, some just think it's the wiser thing to do.
Here are a few examples of how AI is changing the work landscape:
- Automation: Automate the execution of tasks. This resulted in massive unemployment, but also created new opportunities for others.
- New job opportunities: AI systems will require human workers to work alongside them, such as data scientists and machine learning engineers.
- Shift in skill requirements: The more AI applications are integrated, the more current and new workers will need to understand how the system works, the engineers, the analysis phase, and more.
- Work-life balance: The rise of AI tools allows more people to work remotely, part-time and/or freelance as tasks are automated.
Automation is the biggest cause of change in the work landscape right now. With more and more tasks being done by AI and fewer by actual humans, you can understand why companies are starting to lay off workers. Staff costs include salaries, pensions, health insurance, maternity/paternity leave, etc. Automated artificial intelligence tools are their biggest breakthrough as more and more companies view their employees as a loss.
Here are some sectors that have already implemented automated tasks:
Just a few weeks ago, ChatGPT and Google Bard hit the world. More and more industries are adopting artificial intelligence chatbots to provide customer service. With the rise of big language models, we can only expect these chatbots to get better at handling customer queries, answering their questions, solving problems and even making sales.
For example, chatbots are also used in the financial industry, such as registering new insurance applicants, Know Your Customer (KYC) and Anti-Money Laundering (AML) policies and processes. Implementing automated tools for such a sensitive task proves the success of leveraging artificial intelligence and the way it will only continue.
Data entry tasks used to be manual tasks that would be tedious and repetitive. There are some flaws in this department as the tasks are very repetitive and boring and workers are more prone to make mistakes.
AI is now capable of automating data entry tasks by extracting data from raw files or documents and entering it into databases.
Well, we all know about self-driving cars. More and more companies are entering the market alongside the likes of Tesla, Waymo and Uber. These cars use artificial intelligence computer vision to safely drive passengers from point A to point B, navigating the road and avoiding obstacles.
As I already mentioned before, chatbots are being used in the financial industry to automate certain processes and tasks, such as KYC. AI is also being used to help these financial firms analyze data and make better current and future predictions.
The financial industry has a lot of data at its disposal. The more historical data, the better its analytical output. Unfortunately, this will result in people needing to work alongside the AI system, rather than the AI system working for the people.
For an industry where many are shocked to see the integration of AI tools, we can only expect to see more. Professionals in the healthcare industry are using artificial intelligence to diagnose diseases, recommend treatments through data analysis, and even use robots to perform surgery.
As AI continues to develop, the choice for most people will be to be fired or to work with an AI system. That's why you'll naturally see an increase in data professionals, more courses on learning how to code, bootcamps, and more.
You'll naturally see more characters like this:
Data science is the combination of statistics, data analysis, machine learning and artificial intelligence. Therefore, a data scientist will be responsible for organizing, preparing, cleaning and manipulating data to identify patterns in the data and perform advanced data analysis.
Machine learning (ML) engineers are programmers who are proficient at researching, building, and designing software to automate predictive models. Their role is to build artificial intelligence (AI) systems that consume vast amounts of data to generate and develop algorithms that can learn and make future predictions.
AI tools are at their best when they have learned all they need to know. AI trainers will be called upon to help teach AI systems how to perform tasks. They will also be responsible for collecting data, labeling it, and then feeding it into an AI algorithm to learn from the labeled data and ensure it produces accurate output.
It's hard to see what the future holds, especially when artificial intelligence is in the mix. Unfortunately, we will start to see more people lose their jobs to AI, and others will be created to work with AI systems.
This will change people's desire to learn new skills to ensure job security. We're going to start seeing more people learn programming languages, understand AI and how to use it in sales, marketing, etc.
As the pandemic has caused a major shift in the way people work, artificial intelligence has added to it. More people will work from home and travel the world while doing it as AI systems automate many of their tasks.
Armed with this information, I think it is imperative for anyone, regardless of their current role, to be aware of how AI will lead to a shift in the work landscape and how to prepare for the skills that are currently in demand.
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