The New Era of AI: Between Trillions and Controversies

The last 24 hours have been intense in the world of Artificial Intelligence. Let’s analyze the main news and trends that are shaping the future of technology, business and society.

As someone who has been following the technology market for over 25 years and has experienced several waves of innovation, I can say that we are in a unique moment. Let's analyze what is happening.

The Race for the Trillions

Wall Street is buzzing with predictions for Apple and Microsoft. Analyst Dan Ives projects that both companies will reach $4 trillion in market value by the end of 2025. Apple is betting on Apple Intelligence, which promises to transform the iPhone experience, while Microsoft is expected to generate $10 billion in AI revenue in the next quarter.

But it’s not all sunshine and rainbows. Apple was late to the AI race and its Apple Intelligence, while now available in more countries, still has significant limitations, working only in English and with basic features compared to the competition.

Digital Personality in 2 Hours

A disturbing discovery: Researchers from Google and Stanford have shown that two hours of conversation is enough for an AI to replicate a human personality with 85% accuracy. As someone who works in innovation and social impact, I see huge potential for use—and abuse—here.

AI in the Real World

2024 was the year that AI moved from the hype to being put to real work. In my experience supporting startups and large companies, I have seen a clear shift: the focus is now on practical applications and concrete results, not just impressive technology demonstrations.

Traditional companies like IBM, Cisco, and Verizon are positioning themselves strongly in the AI market, combining innovation with financial strength. It’s a movement I’m watching closely, as it demonstrates the maturity of the market.

The Back Office Also Innovates

A less talked about but equally important aspect is the transformation that AI is bringing to internal business processes. As a corporate innovation consultant, I have seen a growing interest in using AI to automate and optimize back office operations.

Final Reflections

In my career supporting more than 10,000 startups, I have learned that moments of technological transformation like this bring both opportunities and challenges. The key is to stay focused on the real impact we can generate, whether for business or for society.

It’s time to balance enthusiasm with responsibility. AI is becoming more powerful and accessible, but we need to ensure that its development is inclusive and ethical. As I often say in my mentoring sessions: it’s not enough to have the technology, you need to know how to use it to create real value.

If you’re thinking about implementing AI in your business or startup, remember: the key is to start with real problems and build solutions that make sense for your users. Technology is just a means, not an end in itself.