AI Agents: 76% of Tasks Could Be Solved with Automation

The conversation around the technological impact of Artificial Intelligence on employment is progressing at an unprecedented pace. Today, the debate centers on AI agents and their structural transformation capabilities. These tools raise valid concerns about job displacement but also foster new strategic skills.

Argentinian companies are facing a fast-paced transition to entirely new ways of organizing work. According to the Labor Transformation Report by Universidad Siglo 21, the outlook is challenging. Their research observatory, Insight 21, reveals that 46.8% of tasks are already automated.

This figure is expected to grow to 76.4% within just three years. For this reason, the adoption of this technology is now a corporate priority. However, to understand this shift, it’s important to distinguish between traditional automation and new AI agents.

What Are AI Agents and How Do They Drive Automation?

AI Agents represent the evolution of basic automation. While traditional automation follows fixed rules, agents are systems capable of reasoning and making decisions. In short, they are software designed to autonomously and adaptively achieve complex goals.

As a result, today’s automation is no longer just mechanical—it’s cognitive. Agents interact with other systems, learn from data, and solve problems without constant human input. This is why 80% of companies believe AI will soon absorb many human tasks.

Humans + AI: The Winning Formula

It’s crucial to understand that technology doesn’t uniformly or simply replace jobs. Instead, automation transforms specific and repetitive tasks within professional roles. According to Insight 21, while technology evolves, human work doesn’t disappear—it changes.

In fact, there's an optimistic outlook amidst this rapid technological shift. Around 65.9% of companies estimate that less than 30% of tasks will be replaced. Consequently, new roles and skills are emerging that didn’t exist in the traditional job market.

Even more, 60% of companies surveyed by Universidad Siglo 21 plan to expand their workforce. This suggests that AI agents are mainly used as complementary tools and strategic support. Human talent is freed from routine tasks to focus on high-value contributions.

Use Cases: 4 Key Industries and Areas Impacted by AI Agents

Fintech and Banking: Onboarding and Identity Verification

The financial sector faces strict regulations that often create friction in user experience. AI agents integrate with validation systems to autonomously process IDs and documents in real time.

This reduces account opening times and minimizes human error in anomaly detection. It ensures regulatory compliance while scaling operations without increasing fixed costs.

Ecommerce and Retail: Autonomous Omnichannel Management

Customer experience in competitive environments demands immediacy that traditional systems can't offer. AI agents act as expert advisors with full knowledge of customer history, managing returns and inquiries end-to-end.

This approach enables mass personalization based on predictive behavior, handles seasonal demand spikes, and maintains quality standards, freeing staff for higher-value tasks.

Customer service

Tech support is one of the areas where AI delivers immediate and measurable ROI. AI agents use natural language processing to resolve technical issues and standard queries autonomously.

Reports estimate a 60% reduction in workload for traditional contact centers. Human agents only handle sensitive cases, drastically improving satisfaction and service efficiency.

Human Resources

Large HR departments are often slowed down by redundant administrative tasks. AI agents autonomously handle leave requests, benefits queries, and training processes.

This automation significantly reduces internal admin times, allowing leadership teams to focus on culture and strategic talent development.

Frequently Asked Questions

What makes Crombie’s AI agents different?

Crombie’s AI agents are fully customizable. Unlike standard solutions, they’re built to fit each business model, tone of voice, and strategic goals.

Crombie also specializes in deep integration with internal systems like CRMs, ERPs, and proprietary databases. This means the agent can not only answer queries but also perform real actions like updating inventory, managing appointments, or verifying identities in real time.

What types of AI agents exist?

AI agents are autonomous systems that carry out processes from start to finish. Some are conversational agents that handle complex procedures and learn from each user interaction.

Others focus on process automation (intelligent RPA), predictive data analysis, or serve as copilots to generate structured content.

What jobs are at risk from AI?

The greatest risk lies in roles based on repetitive, codifiable tasks. In admin, roles like billing, data entry, and statistical assistance are facing imminent automation.

In services, call center agents and level 1 support are being replaced by intelligent agents. Even in technical fields, junior analysts and basic programmers must evolve toward tool oversight roles.