BREAKING NEWS
Artificial Intelligence: The Myth of a Lucrative Career
In a shocking revelation, experts have exposed the truth about Artificial Intelligence (AI) as a career path. Contrary to popular belief, AI is not the lucrative and in-demand field that many have been led to believe.
The Reality Check
Despite the hype surrounding AI, the reality is that the field is plagued by:
- Low Job Satisfaction: Many AI professionals report feeling overwhelmed and underappreciated, leading to high burnout rates.
- Competition: The field is highly competitive, with numerous graduates vying for a limited number of jobs.
- Limited Career Advancement: AI professionals often find themselves stuck in junior roles, with limited opportunities for advancement.
- Constant Learning: The AI field is constantly evolving, requiring professionals to continually update their skills and knowledge.
The Dark Side of AI
Furthermore, AI has a dark side that is often overlooked. The field is heavily reliant on:
- Exploitation: AI systems are often designed to exploit and manipulate users, raising concerns about privacy and data protection.
- Biases: AI systems are not immune to human biases, perpetuating discrimination and inequality.
- Job Displacement: AI has the potential to displace millions of jobs, exacerbating income inequality and social unrest.
The Future of AI
So, what does the future hold for AI? Experts predict a continued decline in job satisfaction and career advancement opportunities, as well as increased scrutiny and regulation of the field.
Conclusion
Artificial Intelligence is not the golden ticket to a lucrative and fulfilling career that many have been led to believe. Instead, it’s a field plagued by competition, limited career advancement, and a dark side that raises serious concerns. It’s time to reevaluate our expectations and seek alternative career paths that prioritize job satisfaction, career advancement, and social responsibility.
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As with most things, the opinions expressed in this post are my own. Consider this as just one data point, and not as a guide to your career.
I've been working in the Data/AI space for 5 years now and I've seen hundreds of starry eyed people wanting to work in A.I. because they want to work with the latest and coolest cutting edge technology. But I want to share with you a few reasons why A.I. is not a good career choice.
- A.I. positions could end up like the "data scientist" position. Looking at the history of the data scientist position, in 2010-2020, the hype around data science made it so that millions of people flocked to that position. Companies eventually realized that most them actually didn't need data science, and the impact of the position didn't always help them profit. The demand of the job has plummeted in recent years, leaving millions of aspiring data scientists unemployed or needing to pursue a different career.
- A.I. positions will be less than .0001% of tech engineering jobs. In the next few decades, the demand for software and data engineering roles will be much more needed at most companies that A.I. roles. Only a small group companies will a be pursuing A.I. initiatives, while the majority of companies will still need software and data engineers. But because 90% of tech news is A.I. related, there will be a massive influx of people trying to enter the space.
- The barriers to entry are huge. To pursue a career in A.I. and machine learning. A person's understanding of statistics and software engineering need to be extremely high. To get to that level of knowledge requires much more dedication and studying than most people imagine. Becoming a decent software engineer or data professional is already difficult for the average person.
Before you decide to pursue this as a career, it's important to consider some of the cons listed below. Perhaps consider taking a smaller step first and trying to land a job as a software engineer or data analyst. If you're already in a technical field, consider not putting all your eggs into one basket, and making sure you know enough skills to stay gainfully employed in the job market.
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