Companies shift focus from AI access to workforce capabilities
The rapid advance of artificial intelligence is forcing companies to rethink how they integrate technology and human talent into their operations.
Experts warn that the main challenge for organizations is no longer access to AI tools, but developing internal capabilities to use them strategically.
The accelerated growth of artificial intelligence tools is widening the gap between the speed of technological innovation and the ability of organizations to adapt, particularly in markets where companies still move slowly through digital transformation processes.
In Colombia, this trend is beginning to reshape how businesses and employees integrate artificial intelligence into daily operations amid growing adoption of AI-based automation and information tools.
Xertica.ai warned that the main enterprise challenge is no longer access to technology itself, but the ability to transform those tools into productivity, coordination and business decision-making capabilities.
The company stated that this disconnect reflects a phenomenon known as “capability overhang,” where the pace of technological innovation surpasses the speed of organizational adaptation, leaving many enterprise capabilities underutilized.
AI and human talent.
According to an EY study cited by the company, 92% of surveyed workers in Colombia already use artificial intelligence tools in their work environment, while 34% do so daily.
The company argued that this widespread but still informal adoption could affect early-stage workforce training and limit professional skill development, particularly in operational learning and entry-level execution tasks.
In practice, AI adoption is advancing faster than internal training and organizational transformation processes, leaving many teams focused primarily on basic uses such as search queries and early-stage automation.
Luis Manuel Faviani, Business Managing Director at Xertica.ai and spokesperson for Colombia, noted:
“The real danger of artificial intelligence in companies is not process automation, but the stagnation of talent in basic tasks. The paradigm shift happens when organizations stop using technology as an individual productivity tool and turn it into a cumulative business strategy capable of generating measurable financial impact.”
The augmented professional.
The company stated that the market is evolving from isolated tool adoption toward integrated organizational capability models, where artificial intelligence participates in coordination, analytics and enterprise decision-making processes.
According to Xertica.ai, this shift is also changing workplace dynamics by accelerating the emergence of the “augmented professional,” a profile designed to combine human capabilities with AI tools to improve productivity and execution speed.
The company explained that this process seeks to activate so-called “AI Superpowers,” capabilities aimed at strengthening productivity, collaborative work and enterprise value creation through strategic AI integration.
Faviani added:
“People will not be replaced by machines. Instead, leaders and professionals capable of mastering these tools will inevitably outperform those who choose to stay behind.”
The company also argued that one of the main bottlenecks inside organizations remains coordination between business areas rather than individual worker capabilities.
Organizational synchronization.
According to the company, the next phase of enterprise productivity will depend on collective synchronization models where artificial intelligence participates in collaborative processes, operational coordination and decision-making based on distributed data under governance frameworks.
In this context, Xertica.ai said its X-Factor methodology is designed to accelerate organizational adoption and synchronization processes through models focused on hyperproductivity, AI-assisted collaboration and enterprise process transformation.
The company stated that the evolution of artificial intelligence is shifting the conversation away from technical automation toward issues related to business strategy, organizational resilience and enterprise adaptability.
The analysis concludes that competitive advantage will increasingly depend on organizations’ ability to integrate artificial intelligence into business processes and decision-making, beyond simple access to the technology itself.
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