Alert: Use of AI by Large Companies Reveals Weaknesses and Advances in the Sector

The past 24 hours have brought important revelations about the Artificial Intelligence landscape, especially when it comes to its implementation by large technology companies. Let’s take a look at the key developments that are shaping the future of AI.

The most high-profile case comes from Apple, which is facing increasing pressure to pull its AI-powered news alerts feature, Apple Intelligence. According to the BBC, the system has been generating inaccurate summaries of journalistic content, even producing completely false claims. The situation is so serious that organizations such as the National Union of Journalists (NUJ) and Reporters Without Borders (RSF) have already spoken out about the case.

On the other hand, NVIDIA continues to lead significant advances in the industry. During CES 2025, as reported by AI News, the company introduced its new RTX 50 series of GPUs, capable of performing trillions of AI operations per second, in addition to the Cosmos platform for robotics and autonomous vehicles.

In the regulatory field, we have an important milestone: the US FDA (Food and Drug Administration) issued its first recommendations on the use of AI in drug development, according to the European Pharmaceutical Review. This is a fundamental shift that sets standards for the integration of AI in the pharmaceutical industry.

Meanwhile, the financial market is showing signs of caution. The Yahoo Finance reports that Wall Street analysts are predicting significant declines in some major AI stocks, with potential declines of up to 86% by 2025.

In the travel industry, we are seeing an interesting trend: as reported by PYMNTS.com, there is an increase in travelers' trust in AI assistants, with interesting cases such as United Airlines using AI for real-time updates on weather conditions.

In my experience of more than two decades in the technology sector, I can say that we are living in a delicate moment. On the one hand, we see companies like Apple, traditionally known for their rigor in quality, stumbling in the implementation of AI – something that confirms my frequent warning about the need to be cautious in the adoption of these technologies. On the other hand, NVIDIA’s advances and the new FDA regulations show a growing maturity of the sector.

What strikes me most is how this scenario reinforces something I have always advocated in my consulting work: the importance of a balanced approach to AI adoption. We cannot get carried away by excitement without considering the real risks and impacts of these implementations.

The most important lesson we can take from these events is that AI, while powerful and transformative, needs to be implemented responsibly and judiciously. It is essential that companies invest not only in the technology itself, but also in robust validation and quality control processes.

If you’re thinking about implementing AI in your business, remember: start small, test extensively, and above all, always focus on the real value you’re delivering to your users. Technology should be a tool to improve people’s lives, not a source of problems.