'Organisations should be transparent about their company and IT values to attract employees even in turbulent times'
Employees have been in the driver's seat on the recruitment over the past years - but the rise of generative AI could be changing this for the IT labour market, according to an expert from a global technology research and advisory firm.
Generative AI is impacting the global market for IT talent by hiking job insecurity concerns due to the technology's massive impact on productivity across workplaces, according to Ola Chowning, partner and Digital lead for Information Services Group North Europe.
"The potential implications of generative AI, the growing maturity of the DevOps skills market, and the willingness of employers to source cost-effective digital talent from new geographies like Spain, Portugal, Mexico and Vietnam, have put additional strain on an already nervous talent market," Chowning said in her remarks.
The remarks came as the various sectors across the world, including HR professionals, grow more concerned about their job due to the rise of AI.
A recent Goldman Sachs study also recently estimated that 300 million full-time jobs could be exposed due to the technology.
Due to mounting concerns over AI and its impact across the world, Chowning said that 2023 has been a year of "widespread worry about the AI-apocalypse."
But she allayed these concerns.
"We are not in an AI apocalypse," she said. "Companies that can stay agile in the face of rapid change in technology, promote self-learning and empower talent will see a real boost in innovation, productivity, and continuous transformation."
The key for businesses and DevOps practitioners is to "proceed cautiously but continuously," she added.
"Despite this shift in power, deep technology skills and expertise will never lose their value. Organisations should be transparent about their company and IT values to attract employees even in turbulent times," she said.
Chowning further added to the growing demand for AI-related policies at work, saying leaders should come up with an AI architecture and environment with appropriate policies.
She said IT teams should be educated on how to recognise, access, and use the right AI tools for the job.
