AI Radar: From Real Estate Sales to Professional Replacement — The Ambivalent Impact of Technology in the Last 24 Hours

Artificial intelligence continues to advance on several fronts, reshaping traditional sectors and raising profound questions about the future of work. Over the past 24 hours, a series of news stories have revealed the ambivalent impact of this technology: on the one hand, extraordinary results in areas such as real estate; on the other, ethical challenges and warnings about the replacement of entire professions.

AI in Real Estate: 200% Increase in Conversions

One of the highlights of the day is the transformation that AI is promoting in the real estate market. Experts Report a Stunning 200% Increase in Lead-to-Customer Conversion after the implementation of AI-based solutions, according to a report by Earth.

This transformation is not just about impressive numbers, but about accurately identifying flaws in traditional human service. Rayniere Evangelista, from BRN Construtora, points out that lack of agility and deficiencies in understanding customer needs are common problems that AI can overcome, resulting in greater sales efficiency.

What I see in this case is a classic example of how technology can complement human capabilities. Automated service systems can be agile, personalized and scalable, creating a first layer of interaction that better qualifies potential buyers even before human contact.

It is interesting to note how AI adoption varies depending on the real estate segment:

• In affordable real estate: greater efficiency in end-to-end sales
• In mid- and high-end properties: technology to support the work of brokers

This differentiation demonstrates a point that I always highlight in my mentoring sessions: technology needs to be implemented considering the particularities of the context. There is no one-size-fits-all solution, and the best results come when we understand that different levels of automation are appropriate for different situations.

The controversial face: AI to deny medical treatments?

While we see success stories in the real estate sector, there are also worrying examples of the unethical use of technology. UnitedHealth Group, one of the largest healthcare companies in the United States, is under investigation for allegedly using algorithms to deny treatment to elderly patients, as reported by The Antagonist.

Court documents allege the company uses a program called nH Predict to recommend early discharge of patients, even against doctors' advice. The company denies that the systems make final decisions about coverage, saying more than 90% of claims are processed without the use of AI.

This case perfectly illustrates the ethical dilemma I always discuss in my AI talks: To what extent should we delegate critical decisions to algorithms? Especially when these decisions directly affect people’s health and well-being.

The paradox is that the same company also develops positive tools, such as systems that transcribe consultations, chatbots to locate doctors and programs that analyze medical records to suggest diagnoses. This reinforces that technology in itself is neither good nor bad – what matters is how we choose to apply it.

“AI will take everyone’s job” – Fiverr CEO’s warning

One of the most blunt warnings came from Micha Kaufman, CEO of global freelance platform Fiverr. In a statement to employees, he stated categorically that all jobs are at risk, including his own, as reported by Brazil Journal.

Kaufman presents an interesting take on how AI is redefining what we consider easy, difficult, and impossible tasks:

• What was considered an “easy task” will simply no longer exist.
• What was once a “difficult task” will become the new easy task
• What was once an “impossible task” will become the new difficult task

This redefinition of the spectrum of task complexity is something I see all the time in my work with startups and companies undergoing digital transformation. The speed at which tasks that were once considered exclusively human are being automated surprises even the most optimistic about the potential of technology.

Kaufman suggests ways for professionals to adapt to this new scenario:

• Study and master the latest AI solutions
• Actively participate to make your organizations more efficient
• Becoming a Prompt Engineer
• Create your own learning and growth opportunities

In my mentoring work with professionals and companies, I have emphasized exactly these points. The future does not belong to those who fear AI, but to those who learn to orchestrate it – transforming it from a threat into a strategic ally.

AI Commands That Can Save Your Career

Speaking of learning how to work with AI, experts at Anthropic shared the three main types of commands that differentiate regular users from those who actually get meaningful results with tools like ChatGPT, according to the State.

The Anthropic team highlights three key elements:

• Clear and detailed communication: provide as much relevant information as possible when interacting with AI
• Critical reading and adaptation of answers: not passively accepting what AI produces, but analyzing and refining
• Continuous experimentation: learning by trial and error, testing different approaches

These principles resonate deeply with what I’ve been observing in my AI for Business and AI Creators WhatsApp groups. The professionals who stand out the most are precisely those who have developed the ability to “talk” efficiently with AI systems, extracting superior results from them.

It’s interesting how this ability to communicate with machines is becoming such a highly valued professional skill. In my view, we are witnessing the emergence of a new form of technological literacy – it’s not enough to know how to use digital tools, you need to know how to instruct them and collaborate with them.

AI in everyday life: editing people and objects in your photos

In a practical example of how AI is reaching the average user, several smartphones now allow you to easily remove people and objects from photos, thanks to embedded artificial intelligence. Models such as the Samsung Galaxy A35, Motorola Edge 50 Fusion 5G and iPhone 16 already offer this functionality natively, as reported by UOL.

The process is surprisingly simple and intuitive:

• Selecting the object to be removed
• AI analysis of surrounding pixels
• Autofill empty space

This kind of functionality represents what I call the “democratization of AI” – capabilities that once required complex professional software are now available to anyone with a modern smartphone. The impact of this democratization goes far beyond photo editing; we’re seeing increasingly powerful tools coming into the hands of everyday people.

At the same time, this example raises questions about the ethics of image manipulation and the concept of “visual truth” in the digital age. At a time when we already face challenges with deepfakes and misinformation, technologies that facilitate the manipulation of visual content deserve critical reflection.

The Future of Gastronomy with AI: Precision and Creativity

In a more unusual application, AI is also making its way into kitchens. Renowned Spanish chef Ferran Adrià highlighted how the technology is becoming a powerful tool in cooking, capable of optimizing processes and creating new gastronomic experiences, as reported by Brazilian Post Office.

Adrià, known for his innovation at El Bulli restaurant, makes a point that I find fascinating: AI can bring precision to a field traditionally guided by intuition and experience. He argues that, especially in savory dishes, inaccurate ingredient measurements are a common mistake that technology can help correct.

This application of AI in gastronomy perfectly illustrates what I have been observing in several sectors: Technology does not replace human creativity, but creates a solid foundation for it to flourish. In the case of cooking, the precision provided by AI allows the chef to focus his creativity on the truly innovative aspects of the dish, without worrying about technical inconsistencies.

AI in criminal proceedings: between efficiency and fundamental guarantees

Finally, in the legal field, we have also seen significant progress. In Brazil, the STF uses the robots Victor and VictorIA to classify appeals according to topics of general repercussion and group similar cases, as reported by Conjur.

These tools can provide important benefits:

• Greater procedural speed
• Improvement of jurisdictional activity
• Possibility of more modern precautionary measures

However, the text warns of significant risks, such as the opacity of automated systems and the lack of transparency in the criteria used by algorithms. This is a perfect example of the dilemma we face in virtually every sector: how to balance efficiency gains with the need for transparency, accountability and respect for fundamental rights?

What can we conclude?

Looking at the news from the past 24 hours, it’s clear that we’re in a time of profound transformation. AI is simultaneously creating extraordinary opportunities and complex challenges – often within the same industry or even the same organization.

What strikes me most is how this duality manifests itself so clearly: the same technology that increased real estate sales in 200% also raises concerns about automated decisions in health plans; the same algorithms that can make justice more efficient also raise questions about transparency and fundamental rights.

In my work with startups and companies undergoing transformation, I have observed that organizations that succeed in this transition are those that adopt a balanced approach: embrace the transformative potential of technology, but maintain a critical and humanistic view of its implementation.

Fiverr’s CEO is right when he warns that AI will completely redefine the job landscape, but that doesn’t necessarily mean job extinction—it means profound transformation. To navigate these turbulent waters, we need to develop new skills, like the prompt engineering mentioned in Fiverr’s warning, and adopt a mindset of continuous learning.

In my mentoring work with startups and executives, I’ve helped teams identify where AI can create real value and how to implement it responsibly. The key is not just to master the technology, but to deeply understand the human context in which it will be applied.

And you, how have you been navigating this transformation? Are you using AI to increase your productivity or rethink processes in your organization? Share your experiences in the comments or join my WhatsApp groups on AI for Business and AI Creators to exchange knowledge and experiences on this transformative journey.