The impact of AI-driven applications and products varies across industries, presenting both opportunities and risks depending on the specific field of discussion. In some industries, AI serves as a catalyst for growth, innovation, and efficiency, creating significant opportunities, such as healthcare, e-commerce, supply chain, or even finance. However, in other sectors, AI adoption raises ethical, security, and economic concerns that may outweigh its benefits.

From my point of view, as my expertise in finance and economic, I think in the short-term, AI could show more benefits for the financial system, but in the long-term, people will gradually focus more on the threats AI could raise, especially in ethical aspect.

The development of AI applications will have a significant impact on future labor markets, and this impact can be both positive and negative. Let's take a closer look at this issue.

Positive impact:

Creates new jobs - The development of AI will create completely new professions related to the management, development and application of new technologies. For example, the demand for professions such as AI engineers, data analysts, robotics specialists will increase.

Increases efficiency - AI will increase the productivity of companies and allow people to engage in creative and complex problem-solving tasks by automating repetitive and tedious tasks.

New business opportunities will emerge - New products and services will be created based on AI, which will create great opportunities for startups and enterprises.

Flexible labor market - Remote and freelance work opportunities will expand, as physical location becomes less important thanks to AI tools.

Negative impacts:

Disappearance of traditional professions – AI could replace workers in many industries. For example, some professions could disappear due to automated cash registers, self-service systems, and robotized production lines.

Increased skill gaps – People who understand and can use AI can earn good salaries, but people who are not familiar with AI technologies risk being left out of the labor market.

Increased wage inequality – Highly skilled professionals who can work with AI can earn high salaries, while low-skilled workers may have limited opportunities.

New professions may be difficult to adapt to – Many people will have to change their professions and learn new technologies, which will require a lot of time and resources.

The rise of AI technologies will impact the labor market, with both positives and negatives. While AI could lead to job losses in areas involving repetitive tasks, it will also create new opportunities in fields like AI development, data science, and human-machine interaction.

I think the key will be how well we adapt to this change. Investing in education and skill development can help people transition into new roles that AI brings. Instead of replacing all jobs, AI might actually help us focus on more creative and strategic work by taking over mundane tasks.

Overall, I believe the positives could outweigh the negatives if we approach this shift with the right mindset and preparation. What do you think? Are there specific sectors where you see more risks or opportunities with AI?

"While we don’t often associate the archaic traditions of the Catholic Church with tech disruption, Pope Leo XIV used his inaugural address to the College of Cardinals to highlight the risks of AI to “human dignity, justice and labor”. He went on to describe the “immense potential” of AI, also warning we must “ensure that it can be used for the good of all”.

The name Leo dates back to Pope Leo XIII, the Vatican’s head honcho in the late 19th century, who made similar warnings about the Industrial Revolution; that governments must “save unfortunate working people from the cruelty of men of greed, who use human beings as mere instruments for money making”, while also waxing about the “marvellous discoveries of science”.

To me, it’s a reminder that AI will continue to touch every corner of society — even institutions that have been around for nearly two millennia.

- Josh Axelrod, editor, Nature Briefing: AI & Robotics