For many years – from the first “Terminator” movie – really – workers have been concerned about the artificial intelligence that replaces them in the workplace.
Although the implementation of AI can cause fewer jobs in certain industries, the energy semiconductor and the data center sectors are producing and supplying technologies such as microchips, integrated currents and server farms-like reality: AI could create more jobs than it eliminates.
The reason is simple: demand. Because the semiconductor industry requires a very special labor and precision to build microchips and integrated circuits, even the most powerful machines require people to ensure that they are properly built and working.
As more technology companies adopt AI-engine technologies, the need for qualified engineers and technicians is expected to increase dramatically. A recent report Deloitte predicted that by 2030 more than a million additional employees would be needed to meet the service requirements semiconductor industry alone.
Industry experts told Business Insider that it would create opportunities for companies to hire talent Phalanx, which focuses on programming, quality assurance and troubleshooting.
According to experts, this is also the cause of semiconductor companies involved in Upkilling, or the process of training employees to effectively use AI tools in their roles. This allows them to become more adaptable to the background of changes in the AI-controlled workplace.
As companies take advantage of their hiring and increasing opportunities, they must recognize the challenges related to such niche needs, said Larry Smith, retired manager of the Tokyo Electron Council, told BI.
Smith and John Akkara, CEO of the IT Person-Person-Smootstack, shared their main strategies for growing and preparing the workforce of the data center and semiconductors to use the best use.
Cultivate the right skills of skills
Even with AI and automation, the semiconductors change and Data Center operationsPeople are still important for their creation and operation.
A A recent blog postWrote the ordering IT infrastructure provider Colocation America Michael Isberto that people play key roles in planning and maintaining data centers. And after one construction, it is necessary to manage and troubleshoot sensitive data stored, processing and distributing systems.
Smith has more than 35 years of experience in the microchip industry. He said it was important for companies to increase the right skills to help in -house needs, such as systems management and hardware repair.
“These are the tools of the future – especially when you talk about AI,” said Smith, who worked for Tokyo Electron Vice President, President and Chairman of the Management Board for 21 years. “Of course, you want a group of people who have the skills to get up and execute.”
Prepare for scaling
Sometimes the possibility of making a data center or semiconductor may need to double or triple its capacity within a few weeks. This means that machines that lead AI systems need to operate faster, longer and harder, and companies must be prepared to expand their human labor force to serve these machines.
One organization that allows for quick scaling is upime Crew, Smokstack's new subsidiary.
The company is changing talent training plans to the needs of its customers, Akkara said. Plans are usually intended to hire, train and hire employees for one of their clients within 10-12 weeks.
“The whole idea is that our teams are mobilized quickly,” said Akkara. “Especially with AI, you need to move quickly in the current climate and be able to work with all the technologies on the market.”
The company is emerging and simply gets out of its system, but intends to work like this: A semiconductor company wants to expand its AI operations, then goes to the UPIME team to find and hire specially qualified workers, such as data center techniques to work. On the first day of the work, these employees arrived and ready to go.
Think about unused talent sets
Smith said that together scooterCompanies can find the best employees for the best jobs retired.
Take the microchip industry. Smith said that the vast majority of semiconductors and robotics operations are led by people who previously worked as care or outdoor technicians.
It was smooth here: thanks to the troubleshooting problems of their experience, the crunching of the codes and the monitoring systems, former maintenance and outdoor transactions were able to step into their new jobs without training.
Smith said she would love to see the military veterans a part of new and future AI-directed data center jobs, as these roles require employees with years of experience and a highly specialized skill set, such as engineering science and quality control.
“Semiconductor industry is important for national security and these are the jobs that veterans are looking for,” Smith said. “It seems to be too good to not at least explore.”
For example, the HR company welcomes the mission critically specializes in the personnel and service of the data centers and was founded by a veteran Lee Kirby. During the recent interview of Podcast, Kirby said that the company was partially created for assistance Veterans develop a career data center sectorTo.
Invest in training
Given the specialized nature of the data center and semiconductor jobs, another important factor for companies is to think about.
Case example: Microsoft. This year alone, the company plans to spend $ 80 billion to build AI-support data centers, wrote Microsoft Vice-Chairman and President Brad Smith in the year. January blog postTo. The time of a March eventSmith said Microsoft would pay the South African Data Center training initiative for the 50,000 employee's technical certification exam – cloud architecture and cyber security skills.
Akkara said that if company executives invest in AI training, they will also invest in the future of the company and its employees.
“You give them special skills, but you also give them new skills that are valuable today and along the road,” said Akkara. “As AI becomes more extensive, the need for these specific skills increases.”
He added that working hours are constantly assessing the skills of employees through a performance review and supervisor's observation so that temporary employees would be motivated to stop working. He said that if certain employees are not working well for its customers, the UPIME team will replace them.
In such scenarios, customers of the working crew also use the needs of the expected set of skills to hire and educate existing open roles so that they can hire a strategy.
“Technology needs are always changing,” Akkara said. “Businesses must be ready for something.”
