The “Architects of AI”: Faces of a New Era
In a historic move, the revista Time bestowed its highest accolade of 2025 upon the “Architects of AI“.
Prominent figures such as Jensen Huang (Nvidia), Sam Altman (OpenAI), and Elon Musk (xAI) lead a group that Time describes as the new “workers of history,” drawing parallels with the skyscraper builders of 20th-century New York.
This group, which includes brilliant minds like Demis Hassabis (Google DeepMind) and AI “godmother” Fei-Fei Li, has succeeded in making the technology transcend screens to influence geopolitics, climate, and global economy.
“AI emerged as the most relevant tool in the competition between powers since the advent of nuclear weapons,” Time noted.
Tools and Models
2025 was the year of multimodal models and deep reasoning. We no longer just seek information; we now collaborate with systems that process video, audio, and text simultaneously.
The most powerful launches of the year:
- OpenAI: Introduced GPT-5 in August and its 5.2 version in December, highlighting complex reasoning capabilities and advanced image editing.
- Google: Launched Gemini 3 Pro, capable of processing massive data volumes in real-time, while Gemini 3 Flash became the speed standard for search engines.
- Anthropic: With its Claude model, it positioned itself as the ethical and secure alternative, competing fiercely in the corporate market.
The AI Economy: Progress or Bubble?
AI’s financial impact has reached colossal dimensions, redefining global market structures.
At the heart of this phenomenon is Nvidia, which solidified its absolute dominance by achieving a market valuation over $5 trillion, making it the world’s most valuable company.
This growth isn’t an isolated fact but part of a massive investment trend; according to consulting firm Gartner, global spending on AI infrastructure and development will close 2025 around $1.5 trillion, roughly 2% of the global GDP.
However, this economic boom raises profound questions about the future of the labor market.
Projections by firms like McKinsey suggest a radical transformation, estimating that by 2030, 30% of tasks in countries like the US could be automated.
This technological acceleration has sparked intense debate about whether we’re witnessing an unprecedented era of productivity or a speculative bubble that could test global economic stability in the coming years.
Despite investor doubts like SoftBank’s, political figures such as Donald Trump have defended the sector, asserting there’s no bubble and that AI is crucial to surpassing geopolitical rivals like China.
The Shadows of 2025: Controversies and Regulation
Not all has been growth. 2025 also faced the ethical “hangover” of such rapid adoption:
- Mental health and demands: Tragic cases, like US teen suicides linked to chatbot interactions, led companies like OpenAI to strengthen parental controls and stricter legislation in California.
- “Slop” phenomenon: Social media was flooded with low-quality content generated by AI (low-quality images and videos), fueling misinformation.
- Regulation: The EU’s AI Act took effect in August, becoming the first comprehensive legal framework to regulate risks and fundamental rights.
The Horizon in Mexico
For Mexico, 2025 has been a year of dualities. While the industry sees investment opportunities, financial authorities sound the alarm.
- Nvidia’s Diagnosis: Marcio Aguiar, Nvidia’s Latin America director, describes Mexico as a country “awakening.” After years of lagging, the Mexican startup and university ecosystem has begun investing in its own infrastructure to avoid external technology dependence, seeking technological sovereignty.
- Banxico’s Warning: However, the Bank of Mexico (Banxico) explicitly included AI as a risk to financial stability in its December 2025 report.
- Industrialized Cybercrime: Criminals are using AI to optimize ransomware and phishing attacks against Mexican banks.
- Cyber Resilience: Banxico has maintained a yellow alert level, coordinating exercises with the Fiscalía to protect the payments system (SPEI).
- In summary: Mexico isn’t late but is in an early adoption phase where the challenge will be turning investor enthusiasm into cybersecurity and skilled talent.
