Prepare Your Career for the AI Takeover Now! 🚀

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How AI Is Transforming the Workforce and What You Can Do About It

As AI advances, managers may use it to enhance task efficiency and reliability. While this may result in the displacement of some jobs, AI is also expected to create new employment opportunities.

In the last 20 years, robots and automation have displaced many manufacturing jobs, eliminating 1.7 million positions, per TeamStage. On the bright side, AI is set to create 97 million new jobs by 2025.

Despite the potential for job loss, the World Economic Forum's "The Future of Jobs Report 2020" suggests that AI will create more jobs than it eliminates. So, rather than being fearful, it's essential to consider how AI will impact your career and what steps you can take to stay ahead of the curve.

📈 Higher Level of Productivity

ChatGPT improves productivity by automating repetitive tasks. AI tools are crucial in industries where timing is critical, as they eliminate errors and improve quality. Studies predict significant benefits, with Accenture and PwC forecasting impressive growth rates for AI-powered productivity.

One of the critical advantages of AI is its ability to provide quick and accurate analysis, enabling businesses to make informed decisions and estimate results more effectively.

For instance, Deloitte's report highlights that implementing AI in the healthcare industry could save workers up to 17% of their time, resulting in higher efficiency and productivity. 

🥊 Working With AI, Not Against It

AI has made remarkable strides, but it's essential to recognize its limitations. Instead of replacing humans, AI can augment the workforce in countless ways.

To unlock AI's potential, employees must upskill and learn to integrate AI responsibly, developing ethical frameworks and investing in training. AI should be seen as a tool to augment human skills and encourage innovation.

📹 The Evolution and Prospects of Artificial Intelligence

Discover AI's impact on businesses and careers at this event. Gain insights on critical skills and technologies, explore integrating AI, and learn how to enhance business growth and stay ahead of the competition. Watch now.

💻 ChatGPT: The Tool for Developers that Complements, Not Competes

OpenAI's ChatGPT has become a game-changer in the world of programming. With over 100 million users and generating 1 billion visitors per month, the tool can write webpages and applications in various programming languages, find bugs in code, and even create new programming languages.

The future of ChatGPT is unpredictable. One thing is sure, though: developers can now focus on more complex tasks rather than writing boilerplate code. While ChatGPT may replace some aspects of coding, programmers will still be required.

The tool could even lead to new job titles, such as prompt engineering becoming an in-demand skill in AI.

🔝 Benefits of Python for AI: Why It's the Preferred Choice for Programmers

Python is a popular language for AI due to its versatility, strength, and capacity to handle big data. It is the preferred choice for building AI applications with flexible and readable code, comprehensive frameworks, and libraries.

Python is the preferred language for AI tasks, such as machine learning and data analysis, according to an O'Reilly report, with 69% of data scientists using it as their primary language.

Here is the list of the most effective AI-based Python Libraries:

• TensorFlow: A powerful library for machine learning and deep learning algorithms capable of performing complex computations like artificial neural networks.

• Scikit-Learn: The library is versatile and can handle complex data, such as classification, clustering, and linear and logistic regressions.

• NumPy: A library for scientific computing with tools for numerical operations and matrix manipulations.

• Pandas: A high-level data structure handling library, including data analysis and cleaning.

😮 The Potential of Java for AI and Machine Learning Development

Java has long been a reliable programming choice, with libraries supporting AI development. JavaML, the Machine Learning Library, includes numerous Java-based machine learning algorithms, making it a favorite of AI developers.

Java is popular in AI for handling complex tasks like machine learning and neural networks. It has a robust set of tools and a strong community, making it valuable for creating sophisticated AI applications.

Java’s list of AI libraries and frameworks useful in AI programming:

• Apache Jena: A versatile library for building synthetic web and data applications from RDF data.

• PowerLoom: A powerful tool for creating intelligent, knowledge-based applications and reasoning systems.

• Apache OpenNLP: A library for natural language text processing, including tagging, recognition, and resolution.

• RapidMiner: Provides machine learning algorithms with a user-friendly GUI and Java API, accessible for beginners and experts.

🔥 HOT JOBS OF THE WEEK

• 🏥 Transform the healthcare industry as a Senior Salesforce Developer. Join a world-class team to provide improved healthcare experiences for patients of all backgrounds. Earn $4,500 - $6,000 (🇨🇴 Position only available in Colombia).

• 💘 Join a venture-backed startup transforming couples counseling and changing lives. As a Senior Fullstack Engineer (React/AWS), you'll work with a dedicated team in an innovative, industry-disrupting environment, earning $4,000 to $5,500.

• 🦷 Become a Full-Stack Software Engineer and contribute to advancing the orthodontic field while earning a salary between $3,500 and $5,000.

• 🌪️ Join the new way businesses buy from businesses. Be part of a game-changing Revenue Acceleration platform as a Sr. Product Manager and help companies grow revenue. Trusted by 50,000+ businesses and a LinkedIn Top 50 Startup, you'll earn a salary based on your experience and be part of something truly innovative. (🇲🇽 Position only available in Guadalajara).

• 🔒 Be a game-changer in software development! As a Security Engineer, earn a competitive salary based on experience. With the world's largest Java open-source components repository, you can combat open-source malware and assist 15 million developers daily! (🇨🇴 Position available only in Colombia).

✍️ QUOTE OF THE WEEK

🇺🇸 "You don't learn to walk by following rules. You learn by doing and falling over" - Richard Branson, British entrepreneur, business magnate, and commercial astronaut.

🇧🇷 "Você não aprende a andar seguindo regras. Você aprende fazendo e caindo"

🌎 "No se aprende a caminar siguiendo reglas. Se aprende haciendo y cayéndose"

Experience is the best teacher, especially in AI and job displacement. To adapt to AI's automation of jobs, learning new skills through experience and being open to growth rather than simply following rules is essential.

Just as we learn to walk by taking risks and sometimes falling, adapting to new technologies and ways of working requires trial and error. We must be willing to learn from our mistakes and continuously improve our skills. While AI can automate certain aspects of our jobs, it can only partially replace the human capacity to learn, grow, and adapt. 

By embracing the challenge of learning new skills and approaches, we can remain competitive in a rapidly changing job market and thrive in the future.

I hope you enjoyed this week's edition! Have questions or topic suggestions? Let's chat! Remember to check out our Discord channel, where you can join a thriving community of 1.270 LATAM professionals who discuss career tips and networking opportunities. We're here to help you soar to the top.

Stephanie Cerf - Head of Community at TECLA.