AI Adoption in Businesses: Talent and Regulation Mark the Main Challenges

Artificial Intelligence has become a key element within business strategies globally. However, its effective implementation continues to present significant challenges for organizations.

According to ManpowerGroup's Employment Expectations Survey for the second quarter of 2026, a brand to which Experis, its technology division, belongs, companies are increasingly integrating Artificial Intelligence into their.

The study reveals that 92% of organizations worldwide face challenges related to AI adoption, including issues such as data privacy, technology regulation, and skills gaps within their teams.

For Jorge Gamero, Director for Latin America at Experis, these data show that technological adoption must be accompanied by a clear talent strategy.

“The adoption of Artificial Intelligence is not just a technological challenge; it is primarily a talent challenge. Organizations can access the technology, but without professionals with the right skills and without a clear capacity development strategy, the potential of AI will hardly materialize into concrete business results., Gamero explained.

The main obstacles to implementing AI

Among the most significant barriers companies face in scaling the use of Artificial Intelligence are:

• Concerns about data privacy and regulation (31%)
• Lack of AI skills among workers (28%)
• Insufficient internal training (27%)

These limitations demonstrate that the adoption of AI depends not only on available technology but also on workforce readiness.

In Latin America, the challenges are even more pronounced. In countries such as Argentina and Colombia, 95% of organizations report difficulties integrating AI into their workforce, while in Mexico and Peru, the percentage reaches 94%.

Learning and Development: Where AI Generates the Most Value

Despite the challenges, companies implementing Artificial Intelligence are beginning to identify areas where the technology generates the greatest impact.

The study shows that talent development and training offers the highest perceived return on investment in AI, as cited by 27% of employers.

For Claudia Talavera, Managing Director of Experis Peru, this result shows that the true value of AI will depend on how organizations prepare their teams to integrate it strategically.

“The fact that learning and development account for the highest perceived return on investment in AI in Peru, at 30%, confirms that this technology is already generating value within organizations. However, its impact will depend on companies preparing their teams, defining clear use cases, and establishing responsible guidelines. AI should not be viewed merely as a technological tool, but as a lever to enhance skills and improve business competitiveness,” said Talavera.

Other benefits include:

• Improved equipment performance (16%)
• Scheduling and Operational Forecasting (14%)

For Gamero, these results reflect that AI can become a relevant tool for improving organizational productivity when properly integrated into talent management strategies.

“One of the most relevant impacts of Artificial Intelligence is in how organizations develop and empower their teams. When integrated correctly, AI allows for accelerated learning, optimized processes, and frees up time for tasks of greater strategic value within companies,” Gamero noted.

Realistic Expectations for AI Adoption

Although the adoption of artificial intelligence continues to grow, companies' expectations remain moderate.

Only 81% of organizations say that AI fully meets their expectations in areas such as hiring and training, while 16% report that they have not yet seen a positive return on their investment.

For specialists, this confirms that implementing AI is a process that requires organizational maturity, investment in talent, and a long-term strategy.

“The organizations that will truly capture the value of Artificial Intelligence will be those that manage to advance on three fronts simultaneously: technological adoption, skill development in their workforce, and clear governance frameworks. Without that combination, AI will hardly move from being a promise to a real competitive advantage,” concluded Gamero.