Introduction
A recent IBM study highlights an interesting trend in Mexico: 9 out of 10 employees use artificial intelligence (AI) in their daily tasks, yet only 4 out of 10 believe their companies are fully leveraging this technology. This discrepancy suggests a growing gap between individual AI adoption and corporate utilization, with significant implications for businesses and their workforce.
AI Adoption: Employees vs. Companies
According to the AI Productivity Survey commissioned by IBM and conducted by Censuswide among 4,000 professionals in the United States, Canada, Mexico, and Brazil, 90% of Mexican employees already use AI. However, only 40% feel their employers are maximizing the technology’s potential.
- 80% of organizations claim to have implemented AI, but only 25% of employees use the tools provided by their companies.
- The remaining 65% rely on a mix of personal and corporate solutions (35%) or exclusively personal tools (25%), creating a “shadow AI” phenomenon that increases compliance and data leakage risks.
Reasons for the Disparity
Mauricio Torres, President and Chief Technology Officer of IBM Mexico, identified two primary reasons for this gap:
- Perceived Costs and Risks: Employees are more likely to adopt AI if they see a direct financial benefit. Torres emphasized that technology should not just be “pretty” but should contribute to increased gross profits.
- Lack of Skills and Integration Capabilities: Key obstacles mentioned by survey respondents include insufficient employee training (49%), difficulties integrating AI with existing systems (41%), and data privacy concerns (39%).
Skills Gap and Employee Demands
Despite 91% of workers feeling capable of using AI effectively, only 39% express confidence in implementing it within their work environment. Those who already use AI request practical training (65%), real-world use cases (52%), and integration with current tools (49%).
Productivity and Individual Benefits
The focus has shifted to individual productivity gains. 86% of survey respondents reported that AI has made them more productive and efficient, saving 1-3 hours weekly (56%) or up to 6 hours (33%).
- Primary benefits cited include faster task completion (65%), improved workload management (49%), increased accuracy (49%), and better decision-making (39%).
IBM stresses the importance of shifting the conversation from impressive demos to return on investment (ROI) per process, emphasizing reduced cycle times, precision, and customer satisfaction.
Shadow AI, Compliance, and Talent
Global financial and risk management leaders are increasingly concerned about shadow AI, as one in five companies has experienced data breaches related to unauthorized AI tool usage.
The recommendation is not to prohibit shadow AI but to bridge the gap with better internal tools under governance, auditing, and compliance.
“Companies must bet on reliable, transparent, and human-centered AI to ensure secure and sustainable adoption,” Torres stated.
This skills gap and AI adoption disparity also impact the competition for talent. 94% of respondents believe AI will be crucial to their jobs within the next three to five years, and 67% would switch employers if another organization offered superior AI practices and access to tools—a figure rising to 72% among 25-34 year-olds.
For human resources, AI has become a retention factor and employer branding tool. Companies offering usable and reliable corporate AI packages will attract employees who have already mastered the learning curve independently.
Conclusion
In Mexico, AI is already part of employees’ personal toolsets, generating measurable productivity gains at the individual level. The challenge lies in transforming this scattered usage into corporate competitive advantages, reducing shadow AI and promoting secure, integrated, and governed platforms. If companies fail to provide this path, the labor market will offer it instead. Employees have demonstrated their willingness to move towards organizations that effectively utilize AI.
