Seven out of 10 United States Organizations are in difficulty To find qualified workers to fill roles in a digital transformation landscape in constant evolution, and the generator AI (Genai) added to this headache, according to a new ManpowerGroup investigation.
The AI skills difference is motivated by the rapid growth of AI technologies and the growing demand for adoption in industries, according to Kelly Stratman, Ernst & Young, leader in the activation of Ernst & Ernst & Young.
By 2030, companies should spend $ 42 billion a year On Genai projects such as chatbots, agents, research, writing and summary tools. Currently, 50% of companies With more than 5,000 employees use AI, with many others planning to do so.
Meanwhile, job offers for AI skills jumped 2,000% in 2024But education and training in this field have not followed the pace, according to Stratman.
“As a formal education and training in AI skills, it leads to a shortage of AI talents that can effectively manage these technologies and requests,” she said. “The shortage of AI talents is the most important among highly technical roles such as data scientists / analysts, automatic learning engineers and software developers.”
While the adoption of AI is spreading in the industries, the skills gap increases to include it, cybersecurity, automation, etc., stressed Stratman. To respond to the shortage, organizations must be associated with AI managers to access talents, training, resources and technological solutions.
Manpowergroup
A new investigation By the training platform, Revatue has shown that 77% of American organizations have been negatively impacted by the difference in computer skills, and 56% choose to increase or reskilling as their highest priority for the closing of This fracture. More than eight in 10 decision -makers (84%) are concerned about the search for technological talents in 2025, and 57% of respondents said that IT companies could not provide talents quickly enough.
In the revature survey, 29% of respondents classified AI, GENAI and automatic learning such as the most important hard skills on seven capacities. Data and analyzes and Cloud Computing and Infrastructure ranked second and third.
“Although the majority of companies have been affected by the deficit in IT skills, it is clear that respondents to IT and HR have clear objectives and priorities while we head around 2025 – but may not have The tools or knowledge necessary to perform them effectively, ”said Revature Coo Tan Moorthy.
Emphasis reports that by 202761% of workers around the world will need recycling. While 94% is ready to acquire new skills, only 5% of organizations are actively on a large scale. The demand for skills such as AI, automatic learning and cloud computing increases even faster.
A new report According to Forrester, research indicated that in the AI era, CIOs must invest in three roles to remain competitive: AI developers and engineers, the roles related to the cloud and the roles specific to data such as data management and data engineers. The issues are high. The Forrester report indicates that 75% of companies that build internal AI agency systems will fail and that 25% of AI projects will be blocked by implementation challenges.
Plumat
A new study of the independent job platform shows that 80% of executives Prioritize skills on degrees During hiring, half planned to stimulate independent hiring this year to fill the gaps in AI and other skills. However, the necessary skills, especially for AI, are constantly evolving.
“The landscape of in-depth threat and high-up-up-over-up-over-survival technologies like the AI oblige organizations to move with the speed of lightning to fill specific gaps in their employment architectures, and too often, They stumble, “said David Fote, chief analyst at Consultancy Foteners.
To follow the rapidly evolving landscape, Gartner suggests that organizations invest in Agile learning For technological teams. “In the context of accelerated AI accelerated disruption today, many business leaders believe that learning is too slow to meet the volume, variety and speed of skills needs,” said Chantal Steen, principal director of Gartner HR practice. “Learning and development must become more agile to respond to changes faster and provide learning more quickly and more profitable.”
Studies by the personnel company ManpowerGroup, the job platform indeed and Deloitte Consulting show that technological hiring will focus on candidates with flexible skills to respond to evolving requests. “Employers know that a skilled and adaptable workforce is essential to navigate in transformation, and many give priority to hiring and retention of people with flexible skills on demand that can be flexed there Where the request is, ”said Jonas Pringing, President and CEO of MainpowerGroup.
Another wrinkle? Many organizations do not have a clear idea of the skills of their employees.
The PluralSight online learning platform recently interviewed 1,200 IT executives and professionals to explore the impact of the AI and how organizations can prepare. The study has shown that if AI adoption is accelerating, most organizations do not know what skills in AI their employees have or have a plan to raise them. And with 81% of IT professionals Indicating that they can take advantage of AI in their roles, but only 12% to report significant experience by working with AI, it is obvious that there is a disconnection.
Last year, Accenture launched Learning advantageA platform that allows organizations to discover the technological gaps they have and where to find online learning platforms to increase employees. A recent partnership With Startup Workera, provided in Accenture a platform for assessing workers who can be used by employers and employees to measure their current skills.
Kishore Durg, world leader in Accenture Learn Even more, said that customers are concerned about the way technology will disrupt their workforce and ask: how many people will be affected and where they should be concentrated to stay relevant ?
“They are all very focused on certifications. They want their people to be accredited when they do something. They all become very, very picky, “he said. “And our customers expect employees to update their skills every three to six months.”
According to DURG, the main priorities of reskilling or update organizations involve AI, cloud, safety and full engineering data. For AI, there are several areas of skills that include regulations, safety / confidentiality, optimization, initialization, adjustment and loss function. In these areas there are additional subcategories, such as the simulation of the IA model.
The point? While more and more AI models are put on the market and others continue to evolve, the skills necessary to develop and deploy AI changed continuously.
However, when discovered, the king can be significant. What may have brought four people to develop a marketing campaign can now be created with two or even a person using AI, said Durg. “We note an increase of 40 to 50% of productivity in this area thanks to the use of AI,” he said.
And workers who are certified in the difficult skills required can earn an average of $ 10,000 more per year, according to the Jobskills online learning platform.
“I think this process is very iterative. This must continue to happen, “said Durg. “The evaluations must occur each year, because as technologies change, you must continue to refresh yourself. The state of mind must be the one where you are always open to learning new things. »»