AI tops corporate priorities for first time, reshaping reputation and intangible asset management

Technology must serve progress, but cannot replace human judgment and trust
María Luisa Martínez Gistau on the central challenge facing corporate communicators in the AI era.

AI leads importance rankings at 55.5% and resource concentration at 47%, marking its first time as top corporate priority in the Approaching the Future 2026 study. Communication remains second priority (52.8%) while reputation, leadership, and talent management follow, with organizations focusing on employee training and AI-powered content generation.

  • AI leads corporate priorities at 55.5% importance and 47% resource concentration for the first time
  • 2,120 professionals surveyed across Iberoamerica for the Approaching the Future 2026 study
  • 61.4% of Spanish organizations rank AI as most pressing concern; 52.8% in Latin America
  • Only 54.8% of Spanish and 43.4% of Latin American organizations actively implementing AI
  • Communication remains second priority at 52.8% importance with 48.3% of resources allocated

A major study shows AI has become the leading priority for organizations, fundamentally reshaping corporate reputation and intangible asset management strategies across Iberoamerica.

For the first time in its eleven-year history, a sweeping study of corporate priorities across Iberoamerica has crowned artificial intelligence as the dominant concern reshaping how organizations think about reputation, trust, and intangible assets. The Approaching the Future 2026 report, compiled by Corporate Excellence-Centre for Reputation Leadership in partnership with Canvas Estrategias Sostenibles and the Global Alliance for Public Relations and Communication Management, surveyed more than 2,100 professionals to understand which invisible forces—reputation, communication, talent, purpose—matter most to the modern enterprise. What emerged was a decisive reordering: AI now claims 55.5 percent importance and concentrates 47 percent of organizational resources and effort, displacing the priorities that have dominated the conversation for a decade.

The shift is not merely numerical. AI has moved from the margins of strategic planning into the center of how companies think about their future. In Spain, 61.4 percent of organizations now rank it as their most pressing concern; in Latin America, 52.8 percent do. Yet there is a gap between aspiration and action. Only 54.8 percent of Spanish organizations and 43.4 percent of Latin American ones report actively working on AI implementation. When they do engage, the focus falls first on training and upskilling employees, then on deploying AI for content creation and communication work. The real obstacles—continuous learning requirements, governance structures, and the organizational restructuring that AI demands—remain largely unresolved.

Communication holds the second position at 52.8 percent importance, and it continues to absorb the largest share of corporate resources at 48.3 percent. Organizations are pouring effort into creating original content, building narratives around corporate purpose, and experimenting with new formats and channels. Yet the field faces a persistent blind spot: few can convincingly demonstrate that communication actually moves the needle on business performance or strengthens corporate reputation. Reputation itself, along with reputational risk, ranks third at 49.4 percent importance—particularly in Latin America, where it leads at 52.9 percent. The trend here points toward integration: companies are weaving reputation management into their core decision-making systems and risk frameworks, connecting it directly to business outcomes and social legitimacy.

The arrival of AI introduces what executives call a new scenario. Algorithms now shape how reputation forms and spreads; they amplify or diminish trust in ways that traditional communication strategies cannot fully control. María Luisa Martínez Gistau, president of Corporate Excellence and head of communication at CaixaBank, framed the challenge during the report's presentation: technology must serve as an engine of progress, but it cannot replace human judgment, responsibility, or the capacity to build genuine relationships. "Our task as corporate communicators," she said, "is not simply to adopt AI, but to do so without losing what defines us: human perspective, purpose, and trust." The tension is real. Innovation and authenticity must somehow coexist.

Responsible leadership ranks fourth at 48.6 percent, while talent management and new work models occupy fifth place at 47.7 percent. The study identifies talent and organizational structure as prerequisites for successful technological transformation—you cannot deploy AI effectively without the people and systems to support it. Sustainability, once a rising priority, has begun to fade. Spain saw a 20-point drop in a single year, suggesting that the urgency around climate and social impact is competing for attention and resources against the AI imperative. Isabel López Triana, general director of Canvas Estrategias Sostenibles, cautioned that sustainability remains strategically vital, but organizations must move beyond commitments to demonstrate tangible results and long-term value creation.

For the first time, the study also incorporates public affairs and government relations into its analysis of corporate priorities. The inclusion reflects a hard reality: companies now face mounting exposure to regulatory, institutional, and geopolitical forces that shape their operating environment. The implication is clear—the old model of managing intangible assets in silos no longer works. Reputation, communication, brand, purpose, sustainability, and public affairs must connect to business decision-making systems, performance metrics, and long-term value creation. The organizations that succeed will be those that integrate these elements rather than treating them as separate domains. AI will accelerate this shift, but only if companies can harness it without surrendering the human judgment and authentic relationships that trust ultimately requires.

Our task as corporate communicators is not simply to adopt AI, but to do so without losing what defines us: human perspective, purpose, and trust.
— María Luisa Martínez Gistau, president of Corporate Excellence-Centre for Reputation Leadership
Organizations are advancing toward increasingly transversal and strategic reputation management, directly connected to actual business performance, trust, and social legitimacy to operate.
— Ángel Alloza, CEO of Corporate Excellence-Centre for Reputation Leadership
The Hearth Conversation Another angle on the story
Inventor

Why does it matter that AI has moved to the top of the list? Isn't it just another technology trend?

Model

Because it's not just a tool anymore—it's reshaping how companies think about trust, reputation, and how they talk to people. When 55 percent of organizations say it's their top priority, that's a signal that the entire foundation of corporate strategy is shifting.

Inventor

But the study shows a gap between what companies say is important and what they're actually doing. Only about half are actively working on AI. What explains that?

Model

There's a difference between recognizing something matters and knowing how to implement it. Companies see the threat and the opportunity, but they're still figuring out the governance, the training, the organizational changes required. It's easier to declare AI a priority than to actually reorganize around it.

Inventor

The report emphasizes that communication is still absorbing the most resources. Why hasn't AI displaced it?

Model

Because communication is the mechanism through which everything else happens. You can have the best AI system in the world, but if you can't explain it to your employees, your customers, your regulators, it fails. The challenge now is doing both—using AI to enhance communication while keeping the human element that builds trust.

Inventor

There's a tension the report keeps circling: innovation versus authenticity. Can they actually coexist?

Model

That's the real question. The executives quoted in the study aren't saying no—they're saying it's the central challenge. You need AI to scale and compete, but you also need genuine relationships and human judgment. The organizations that figure out how to do both will win. The ones that choose one over the other will struggle.

Inventor

What about the companies that aren't doing anything yet?

Model

They're running out of time. The study shows this isn't a future scenario anymore—it's happening now. The gap between leaders and laggards is widening fast.

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