AI is changing jobs in all areas of business and IT. AI is being used in customer relationship management (CRM), enterprise resources planning (ERP), business intelligence (BI), analytics, data security, marketing, sales, management, and more.
Here are five big changes in AI jobs that are happening now:
AI Changes All Roles
AI is taking over many other jobs, if not all of them. The chief commercial officer at Opsani says that AI is changing other roles more than it is changing AI jobs. Conte used the example of optimizing cloud applications to show how AI is letting DevOps engineers focus more on testing and development and less on the size of workloads.
AI can find the right size or service-level objectives for an app. In contrast, a DevOps engineer or group might ask for a big footprint that can hold the app without worrying about overprovisioning and overspending.
In this case, AI and its branch technology, machine learning (ML), can suggest with high precision the size of the workload (CPU, cognition, replicas, etc.). This lets the DevOps team build, test, and send the homework load to the site reliability engineering (SRE) team.
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Site reliability engineering jobs | software engineer ai job
AI and ML are making big changes to what SREs do. Using ML to find the best performance settings in the production phase, the SRE team doesn’t have to take time away from getting apps ready for production to worry about tuning them.
Since there are trillions of different ways to set up an app or microservice with just three parameters (CPU, memory, and replicas), you need a system that can test and experiment at machine speed to find the best combination of values for those parameters.
People can only guess what is best, but AI and ML can find it faster and more accurately. This doesn’t eliminate people but frees them up to do more important work.
AI And Cybersecurity
Dice, a website for finding jobs, released the Tech Salary Report. It showed that cybersecurity engineers would have the highest salary growth in 2020. The report says that cloud, AI, machine learning, and cybersecurity skills are in high demand. In 2020, tech salaries went up by 3.6%, but the pay for cybersecurity analysts went up by 16.3%.
In 2021, rates went up again. And new jobs are being made that use AI and traditional cybersecurity tools. CEO of DHI Group, which provides AI-powered career marketplaces that focus on technology roles, says that hackers have never had so many chances to attack and break through defenses since remote work became popular.
Because of the need for skilled technologists to find and fix these security holes, the salaries of cybersecurity analysts grew the most out of any job.
AI in Manufacturing
AI is big in a lot of different fields. And making things is becoming more important. An MIT survey found that AI is already being used by about 60% of manufacturers. Maintenance and quality control are two of the most common ways that AI is used in manufacturing.
For example, instead of sending people to check on equipment and assembly lines at set times, AI processes data from sensors to keep an eye on things like oil levels, dirt on filters, equipment health, achievement, vibration, emissions, and more.
The AI then tells the maintenance staff what equipment and parts need to be fixed. Time and money are saved. And people who are good at both AI and maintenance should be able to find work in many places.
The founder of AI Multiple, a company that does AI analysis, says that performing data is a good fit for AI and machine learning. Manufacturing involves a lot of data analysis, which is simpler for machines. In the same way, AI can help quality control inspectors understand what to check, where to check, and how to find the root cause of QC problems.
Robotics Uses AI
Another hot market is robotics. And it relies heavily on AI. Rob Enderle, an analyst at Enderle Group, said that the market for autonomous robots alone is worth around $103 billion this year. He thinks it will more than double to $210 billion by 2025.
Robotic process automation is one area where there will be a lot of jobs (RPA). When combined with AI, RBA makes it much easier for companies to handle high-volume, repeatable tasks. Yes, robots will take over some jobs. But many people will be needed to take care of the robots, use AI to make them work better and make fewer mistakes, and write code that can work with AI, RBA, and plant systems.