The Value of Human Judgment in the Intelligent Enterprise

Over the past few years, we have witnessed an extraordinary acceleration in the adoption of artificial intelligence. What began for many professionals as a tool for generating text, summarizing documents, creating images, or answering questions is rapidly entering a much deeper stage.

Companies are already using AI systems to analyze information, automate processes, support financial and commercial decisions, identify patterns, project scenarios, and manage large volumes of corporate knowledge. This changes the conversation. The question is no longer whether companies will use artificial intelligence. The real questions now are how they will use it, who will govern it, and which decisions we will be willing to delegate to it.

From Adoption to Governance

Peru is a particularly interesting case. EY Peru reported in June 2026 that 78% of surveyed board members and senior executives believe artificial intelligence improves the quality of their decisions, while 97% want to learn more about it. However, there is a clear gap: only 10% of the companies analyzed have approved AI policies, 66% of boards do not have an AI specialist, and 68% of the executives surveyed had received no training on its use or business impact. In other words, there is enthusiasm, but not necessarily maturity.

AI is entering organizations faster than organizations are learning how to govern it.

And I believe this is where one of the greatest challenges for companies in Peru and across Latin America will lie in the years ahead.

This Is Not a Generational Problem

It would be easy to attribute this situation to the fact that some executives are not “digital natives.” But that would probably be the wrong diagnosis. The issue is not age. It is the presence — or absence — of capabilities, organizational culture, leadership, and governance mechanisms. In fact, EY’s research identifies lack of knowledge as the main barrier to effective AI implementation, followed by resource constraints, governance challenges, and resistance to change. A company can therefore acquire the most sophisticated technology available and still remain poorly prepared to use it.

Buying AI is easy. Transforming a corporate culture is not — and this takes me back to a post I wrote more than ten years ago.

Can AI Really Know a Company?

This leads to another interesting discussion. Today’s AI systems can process enormous amounts of information. When properly integrated with enterprise systems, they can analyze internal documents, financial information, commercial indicators, CRM and ERP data, processes, and knowledge bases. In that sense, it would be inaccurate to claim that AI only knows what it once found on the Internet. A corporate AI system may eventually have access to more formal information about an organization than any one of its executives. However, there is a fundamental difference: information is not the same as experience.

Imagine that the indicators show productivity in a particular area has fallen by 17%.

AI could compare variables, identify correlations, analyze absenteeism, historical results, turnover, performance, and dozens of other indicators. It would probably do that work far faster than any human team. But behind that percentage are elements no dashboard can fully capture: a conversation, weakened leadership, an unfulfilled promise, a poorly communicated reorganization, fear, frustration, or a loss of trust. Those are also data points that matter. The difference is that many of them were never recorded as data.

AI has data about organizations. People have the memory of organizations.

AI Does Not Seek Perfection

I also do not believe it is technically accurate to say that AI “seeks perfection.” Artificial intelligence processes information and generates results based on models, objectives, probabilities, and instructions. And that is precisely where we need to be careful. An organization is not simply a system waiting to be optimized. A company is made up of people.

We can optimize costs, time, inventory, conversions, productivity, or profitability. But leadership, trust, reputation, legitimacy, commitment, and belonging are far more complex human phenomena. We can measure approximations of them. We can use AI to interpret them better. But we should not confuse computational capacity with the moral capacity to decide.

Remaining Human

In 2026, Pope Leo XIV offered a particularly relevant reflection on this issue in the encyclical Magnifica Humanitas, devoted precisely to the human person in the age of artificial intelligence.

He acknowledges that these systems can surpass humans in speed and breadth of calculation, but he introduces an essential distinction: artificial intelligences do not have lived experience.

They do not feel joy or pain, they do not mature through relationships, and they do not possess moral consciousness or carry the burden of consequences.

Regardless of the religious beliefs of anyone reading these lines, there is a powerful principle of management and business ethics here:

Technology may play a role in a decision, but responsibility must continue to have a human name.

This becomes especially relevant when we talk about hiring, dismissals, credit, reputation, communication, employee evaluation, or any decision that can affect someone’s life.

So, Will AI Replace Jobs?

Yes. And it would be irresponsible to deny it. The World Economic Forum’s Future of Jobs Report 2025 notes that a significant share of employers expect to reduce staff where skills lose relevance as a result of technological transformation, while the automation of processes and tasks is among their main strategies.

But the same research reveals something even more important.

Eighty-six percent expect AI and information-processing technologies to transform their business by 2030, while 77% plan to upskill or reskill their workers so they can work more effectively alongside AI. That is why I believe simply saying “AI will not replace us” leads us into the wrong debate.

The right question is: Which parts of our work do we want to keep doing ourselves?

Operational, repetitive, predictive work — and a growing share of analytical work — can be delegated.

That should not necessarily worry us.

It could allow us to recover time for the capabilities we have described as strategic for years, but often push aside because we are consumed by day-to-day operations: thinking, creating, conversing, negotiating, listening, interpreting, and leading.

The New Professional

Perhaps the most competitive professional in the years ahead will not be the person who can do the most without artificial intelligence. Nor will it simply be the person who knows the greatest number of tools. It will be the person who can combine three capabilities: professional expertise + artificial intelligence + human judgment.

Because the more sophisticated the answers we receive from a machine become, the more important our ability to ask good questions will be.

The more analysis we automate, the more important it will be to interpret what it actually means.

And the more autonomy we give algorithms, the greater our capacity must be to set limits and assume responsibility.

The future will probably not be a competition between artificial intelligence and human intelligence.

It will be a competition between organizations that know how to integrate both forms of intelligence and those that do not.

The challenge has already begun. And those of us working in communication and Public Relations have a great deal to contribute. We can automate information. We can automate analysis. We can even partially automate a conversation. But trust, legitimacy, and reputation are still built between human beings.

AI can help us make decisions. Human judgment still matters.