More than 50% of large global companies are already using AI

This is indicated by new research from Experis, which also details the challenges for its implementation

(Source: WTTC)

Experis, ManpowerGroup’s leading Digital and Technology Talent Identification and Management brand, surveyed more than 40,000 employers across 42 countries to understand the current state of Artificial Intelligence (AI) integration, as well as forecasts on the value that new AI-based technologies can bring to workforce and HR operations by 2030 and beyond.

The results indicate that more than half of large global companies with more than 5,000 employees (52%) are currently using AI. Meanwhile, a third (33%) who are not current users say their organization plans to implement this tool in the next three years. This will increase the global average use of these applications to up to 81% of employers around the world by 2027.

When asked about the potential organizational challenges of deploying these technologies, 33% of global business leaders cite high investment costs as the top concern. This is followed by concerns about privacy and regulations (31%), lack of skills to use AI effectively (31%), lack of appropriate tools (26%) and resistance to change (26%). However, across all sectors and regions of the world, respondents believe that AI will have a positive impact on business performance and employee training, hiring, onboarding, engagement and diversity.

On the other hand, the research suggests that by 2030, AI-based technologies are likely to be implemented in workforces around the world in a variety of ways, including:

Democratisation of authority: distributing decision-making and eliminating hierarchies, thus giving more autonomy to collaborators.
Objective analysis of performance: evaluating productivity with greater precision and transparency.
Development of tailored skills: identifying gaps and recommending strategies to remedy them through upskilling and reskilling programmes.
Rapid team formation: creating highly skilled teams, in a shorter period of time, in real time, according to the needs of the project.
Autonomous AI assistants: artificial agents with natural language interfaces that act as personal assistants, managing daily tasks such as bookings and answering emails.
However, the speed at which it is adopted widely will depend on the population of individuals who already work with these technologies and the regulatory and ethical environment in which the adoption occurs.

Additionally, to create a human-centric AI strategy, company leaders will need to:

Choose the implementations that make sense for your business and select the right partners.
Consider your existing IT infrastructure and technology capacity.
Redesign jobs based on the talent you already have.
Expand your upskilling and reskilling initiatives.
Behave ethically when collecting and managing AI data.
“Artificial Intelligence should not be seen as a substitute for workers, but rather as a powerful tool that can enhance their capabilities and improve workplace outcomes,” says Marcelo Roitman, Managing Director at Experis. He adds: “This research highlights the importance of designing AI systems that are easy to use and aligned with the organization’s goals and values.”

Fuente: ManPowerGroup.


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