Gen Ai changes work but can’t replace workers, says this HR expert

The generative AI tools replace some of the tasks that were historically a competent view of the initial level employees who were learning their path at the beginning of their careers. This should not mean that these jobs are gone, a human resource leader for a major technology company told an audience south from southwest on Monday.

“I think we need to think differently about what these jobs are in the initial level,” said Nicholas Lamore, a chief human resource employee at IBM.

Artificial intelligence is a big topic in SXSW here in Austin, Texas, this week, including conversations about accountability, creativity, confidence and use of synthetic data. A look at the SXSW program shows all the ways this technology can one day penetrate into our lives if it is not already.

One big way: AI changes our work and changes the way we get these jobs. Lamoreaux said companies will have to look for different employee qualities – those you can’t find in a machine.

AI as a rental manager?

Lamoreaux said many companies already use AI for screen resumption or otherwise filter applicants for work, but IBM does not. The solution depends on how convenient the company is with the use of an instrument for this purpose and whether it meets the culture and goals of that company. The goal is to use these tools to reduce bias, but sometimes they can strengthen or amplify it, she said.

IBM, she said, is a skill company, which means that they focus on the technical skills of a candidate, not where these skills came from. Lamoreaux said he was worried that the algorithm would reject the candidates who come from unconventional origin, but who have the ability to do the job.

The big way of AI will change the process of hiring your next job is how it will affect what skills the company will look for. The work itself will change.

“In fact, I think you will see selection methodologies to try to achieve this unique human part of the acquisition of talents,” Lamoreaux said.

One thing you should not expect: the idea that you will apply for jobs with your digital twin AI agent. These agents are likely to be developed by your employer to handle the work of this employer – and a company will not allow you to go with all this information to a competitor or other business.

“If you left a job, you won’t go with you to the next job,” Lamoreo said. “This will be appropriate for this role.”

Focus on human skills

If you have to believe LinkedIn influences, the hot new job that has been developing in the last few years, is a generative AI support engineer, someone with an AI model experience to create the best results. But Lamoreaux said AI tools quickly became as comfortable for the user that fast engineering was not as decisive as it ever looked. “Quick Engineer” is the same as a “email compiler,” she said.

Future workforce will need more workers who have experience in the domain field: people who can look at the production of AI model and identify what works and what is not, what is right and what is not. This domain experience will also help with the ability to make decisions beyond what the machine can handle.

“With AI and generative AI domain examination becomes more important, no less important,” Lamoreaux said.

Assessment and communication – the ability to make the right decision and to explain this decision effectively – will become the most important skills that employers of employers are looking for, she said.

The new job at the level

Lamoreaux expects AI tools to deal with some of the more rudimentary work, but they can’t handle everything. They will make employees more productive by reducing lower level work, but people will still be needed to deal with high-level work.

“Think about it as an email or mobile phones or the Internet,” she said. “AI is an instrument. AI is a platform. Every job is transformed from that.”

If digital instruments take on more work that was processed by workers who learned their work and build their experience, how do these workers need to learn the necessary skills to perform at a higher level?

Employers need to rethink the role of workers who are just beginning, Lamoreaux said. These jobs need to focus specifically on the cultivation of skills in order to do the things they cannot, including solving complex problems and making complex decisions.

“When I say that AI is transforming all jobs, I’m talking about the total work of a redesign,” she said. If employers do not heavily look at how to change their roles from entry level to support the growth of employees, this can lead to a scenario in which a generation of workers will not raise the necessary skills to do jobs.