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Cuales son las carreras menos convenientes para estudiar en el futuro, con la llegada de la inteligencia artificial?
What are the least convenient careers to study in the future, with the arrival of artificial intelligence?
What are the least convenient careers to study in the future, with the arrival of artificial intelligence?
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4 answers
Updated
Neil’s Answer
Hi Natalia
The rapid development of AI is impacting a lot of career areas. In my own area - software development - this is really happening quickly, as AI tools improve and bring speed / low cost to what was previously a well-paid job due to the requirement for high skill and general scarcity of resources.
It's very hard to predict how AI is going to impact the future job market and so to decide where you'd be best spending your time.
However, a couple of guidelines...
First, avoid jobs which are very procedural or transactional - data entry etc. These roles are ripe for complete replacement with AI.
Extend that to those roles with fairly routine interpretation of rules. For example, a lot of legal work is interpreting an existing set of rules or body of knowledge to create a response - exactly the kind of process at which LLM / generative AI is very efficient.
Instead, look for roles which require empathy, nuance and also, a level of accountability. There's lots of discussion at the moment about the role of human 'taste', which AI cannot (yet) replicate.
Of course, there's no magic rule here (and some of the above are very debatable).
Good luck!
Neil
The rapid development of AI is impacting a lot of career areas. In my own area - software development - this is really happening quickly, as AI tools improve and bring speed / low cost to what was previously a well-paid job due to the requirement for high skill and general scarcity of resources.
It's very hard to predict how AI is going to impact the future job market and so to decide where you'd be best spending your time.
However, a couple of guidelines...
First, avoid jobs which are very procedural or transactional - data entry etc. These roles are ripe for complete replacement with AI.
Extend that to those roles with fairly routine interpretation of rules. For example, a lot of legal work is interpreting an existing set of rules or body of knowledge to create a response - exactly the kind of process at which LLM / generative AI is very efficient.
Instead, look for roles which require empathy, nuance and also, a level of accountability. There's lots of discussion at the moment about the role of human 'taste', which AI cannot (yet) replicate.
Of course, there's no magic rule here (and some of the above are very debatable).
Good luck!
Neil
Updated
Patrick’s Answer
NataliaAa, it's important to realize that artificial intelligence (AI) is changing the job market, possibly making some jobs less appealing or even outdated. While AI is more likely to support rather than fully replace many jobs, some professions may need substantial adjustments.
Jobs that involve repetitive, rule-based tasks like data entry, bookkeeping, and certain administrative roles may become less appealing. This is because AI and machine learning can do these tasks faster, more accurately, and cheaper than humans, which could lower the need for these roles.
Also, NataliaAa, be aware that customer service might rely less on humans. With better natural language processing and chatbot technologies, AI systems could handle many routine customer questions and support tasks. While humans will still be needed for complex or sensitive situations, the need for traditional customer service reps might decrease.
In transportation, self-driving vehicles could greatly affect jobs like truck drivers, taxi drivers, and delivery workers. While it's unclear when fully self-driving vehicles will be common, the potential for change in this field is big. Those thinking about long-term careers in these areas might need to prepare for big changes or possible job loss.
Some analytical jobs that heavily use data processing and pattern recognition might also face challenges. For example, parts of financial analysis, market research, and basic legal research could be automated or supported by AI systems. While human expertise will still be needed for high-level analysis and decision-making, these roles might change a lot, requiring professionals to focus more on areas where human judgment and creativity are needed.
In medicine, AI might lower the need for certain diagnostic specialties, but it's unlikely to fully replace doctors. Radiology is one area where AI has shown good results in analyzing images. Future radiologists might need to adjust their roles to focus more on complex cases, overseeing AI, and interacting with patients rather than routine image interpretation.
Journalism might also face challenges, especially in factual reporting and data-driven stories. AI systems are getting better at creating news articles from data feeds and press releases. While investigative journalism, in-depth analysis, and creative writing will always be needed, the need for entry-level reporting jobs might decrease.
It's important to know that while these jobs might become less appealing, they probably won't disappear completely. Instead, they'll likely change, requiring professionals to learn new skills and adjust to working with AI systems. The key to future job success will be to focus on developing skills that work well with AI rather than compete against it.
In the end, NataliaAa, you should know that the most resilient jobs will likely be those that need complex problem-solving, creativity, emotional intelligence, and uniquely human skills like empathy and ethical decision-making. As AI keeps improving, the ability to adapt, keep learning, and use technology will be crucial in all industries.
Jobs that involve repetitive, rule-based tasks like data entry, bookkeeping, and certain administrative roles may become less appealing. This is because AI and machine learning can do these tasks faster, more accurately, and cheaper than humans, which could lower the need for these roles.
Also, NataliaAa, be aware that customer service might rely less on humans. With better natural language processing and chatbot technologies, AI systems could handle many routine customer questions and support tasks. While humans will still be needed for complex or sensitive situations, the need for traditional customer service reps might decrease.
In transportation, self-driving vehicles could greatly affect jobs like truck drivers, taxi drivers, and delivery workers. While it's unclear when fully self-driving vehicles will be common, the potential for change in this field is big. Those thinking about long-term careers in these areas might need to prepare for big changes or possible job loss.
Some analytical jobs that heavily use data processing and pattern recognition might also face challenges. For example, parts of financial analysis, market research, and basic legal research could be automated or supported by AI systems. While human expertise will still be needed for high-level analysis and decision-making, these roles might change a lot, requiring professionals to focus more on areas where human judgment and creativity are needed.
In medicine, AI might lower the need for certain diagnostic specialties, but it's unlikely to fully replace doctors. Radiology is one area where AI has shown good results in analyzing images. Future radiologists might need to adjust their roles to focus more on complex cases, overseeing AI, and interacting with patients rather than routine image interpretation.
Journalism might also face challenges, especially in factual reporting and data-driven stories. AI systems are getting better at creating news articles from data feeds and press releases. While investigative journalism, in-depth analysis, and creative writing will always be needed, the need for entry-level reporting jobs might decrease.
It's important to know that while these jobs might become less appealing, they probably won't disappear completely. Instead, they'll likely change, requiring professionals to learn new skills and adjust to working with AI systems. The key to future job success will be to focus on developing skills that work well with AI rather than compete against it.
In the end, NataliaAa, you should know that the most resilient jobs will likely be those that need complex problem-solving, creativity, emotional intelligence, and uniquely human skills like empathy and ethical decision-making. As AI keeps improving, the ability to adapt, keep learning, and use technology will be crucial in all industries.
Updated
Isabel’s Answer
Hello NataliaAa!
The advent of Artificial Intelligence (AI) has made certain professions less appealing due to the looming threat of automation. This could potentially lead to a decrease in the demand for skilled workers in these fields. Here are some examples:
Data Entry Clerks: The automation capabilities of AI can handle repetitive data entry tasks, reducing the need for human intervention.
Telemarketers: AI-powered chatbots and auto-dialing systems are now capable of managing customer interactions, making telemarketing roles less necessary.
Manufacturing Jobs: Robots and AI are increasingly dominating assembly lines, reducing the need for manual labor.
Retail Cashiers: The rise of self-checkout systems has led to a decrease in the demand for human cashiers.
Travel Agents: With the advent of online booking services and AI-driven travel planning, the role of travel agents is becoming less critical.
Paralegals: AI can perform legal research and document reviews, reducing the need for paralegals.
Basic Accounting: AI can automate routine bookkeeping tasks, making human accountants less necessary.
These professions are likely to undergo significant changes and may see a decrease in demand due to the advancements in AI.
The advent of Artificial Intelligence (AI) has made certain professions less appealing due to the looming threat of automation. This could potentially lead to a decrease in the demand for skilled workers in these fields. Here are some examples:
Data Entry Clerks: The automation capabilities of AI can handle repetitive data entry tasks, reducing the need for human intervention.
Telemarketers: AI-powered chatbots and auto-dialing systems are now capable of managing customer interactions, making telemarketing roles less necessary.
Manufacturing Jobs: Robots and AI are increasingly dominating assembly lines, reducing the need for manual labor.
Retail Cashiers: The rise of self-checkout systems has led to a decrease in the demand for human cashiers.
Travel Agents: With the advent of online booking services and AI-driven travel planning, the role of travel agents is becoming less critical.
Paralegals: AI can perform legal research and document reviews, reducing the need for paralegals.
Basic Accounting: AI can automate routine bookkeeping tasks, making human accountants less necessary.
These professions are likely to undergo significant changes and may see a decrease in demand due to the advancements in AI.
Updated
Joseph’s Answer
Here are some areas that AI can replace and affect:
Software Development. Unsurprisingly, an industry responsible for AI's creation will experience profound shifts due to its capabilities. ...
Research Analysis. ...
Finance/Compliance Areas
Data Analysis
Software Development. Unsurprisingly, an industry responsible for AI's creation will experience profound shifts due to its capabilities. ...
Research Analysis. ...
Finance/Compliance Areas
Data Analysis