How can you prepare for job automation in your field?

Job automation is here & is likely to accelerate in the future. Here are a few simple tips on areas of learning to stay ahead of the curve & hence stay employable in the future. 1. Basics of: a. Data analytics & how data science enables decision making b. Gen AI – what is it. How can it be leveraged to run everyday tasks. 2. Build a basic understanding of how to leverage a. “Gen-AI” as an effective co-pilot & hence a force multiplier. b. Leverage AI & ML to crack large business issues like those relating to distribution, trade promotions etc. 3. How “Eco-efficiency” can be built into everyday work actions. These actions should be done irrespective & outside of employer initiatives.

To prepare for job automation in your field, focus on developing skills that complement technology, such as critical thinking, creativity, and emotional intelligence. we need to learn to stay updated with industry trends and embrace continuous learning to adapt to new tools and software. Network with professionals to exchange knowledge and explore diverse roles that require a human touch. By enhancing technical skills and focusing on areas where human expertise is irreplaceable, we can remain valuable and relevant in an increasingly automated landscape.

To prepare for job automation in your field, focus on developing skills that are difficult for AI to replicate, such as emotional intelligence, critical thinking, creativity, problem-solving, leadership, and interpersonal communication. Additionally, cultivate a unique combination of skills, stay informed about industry trends, and continuously upskill to adapt to the changing job market

1.Continuous Learning: Stay updated with the latest advancements in your field. This could mean taking courses in robotics, automation, AI, and machine learning. 2.Skill Development: Focus on developing skills that are complementary to automation, such as programming languages (C++, Python), and understanding real-time control systems. 3.Specialization: Consider specializing in areas that are expected to grow with automation, like machine vision, autonomous vehicles, and smart infrastructure projects

To prepare for job automation, start by understanding AI's capabilities and limitations. Focus on developing skills where AI falls short, like creative problem-solving, leadership, and emotional intelligence. Enhance your qualifications through continuous learning—courses, workshops, and self-study. Stay adaptable by learning about emerging technologies relevant to your field. Cultivate flexibility to pivot into new roles as needed and network to stay informed on industry trends and opportunities. This approach helps you remain valuable in a rapidly evolving job market.

Why is it essential to work with generative AI? Understanding both the capabilities and limitations of these models is crucial. Knowing where they might be useful helps you make informed decisions about their impact on your job and guides your career development and training. Working with AI also improves your skills in framing questions, removing ambiguity, and condensing your thoughts, making you a better thinker and communicator. If you are replaced, it won't be by AI alone, but by a human using AI. Think of AI as a superpower that elevates your performance. Lastly, be careful not to leak confidential or sensitive data, especially when using these tools at work. It's easy to copy and paste without realizing the risks.

I remember the time when small handheld calculators became available at schools instead of big machines. Every pupil was exited that now he can easily make any math homework. But then we realized that to get right solution you still need deep knowledge. Otherwise you can get wrong result without making any mistake in calculations. AI is a next generation wise calculator, but to get great result you still have to have strong tech knowledge.

No se trata de competir sino de cooperar, lo que parece una amenaza puede ser una oportunidad. Los entornos turbulentos y cambiantes en general proponen rupturas del status quo, que pueden significar mejoras para las personas que tengan la capacidad de anticiparse y prepararse para ello. Como siempre digo la suerte no existe, en realidad es una esquina donde se cruzan la oportunidad y la preparación. El cambio está sucediendo, no puedes seguir haciendo lo mismo y esperar resultados distintos, debes entender ese cambio y prepararte para las nuevas oportunidades que van a aparecer. Sin duda el Pensamiento Crítico es una de las Habilidades Blandas fundamentales para entender que el camino es cooperar, y no competir con la automatización.

AI augmented automation approach has great potential. But using it people have to have enough empathy to understand what’s really going on with clients or teams. Because formalized data could come too late and business can have huge reputation loses. Yet I haven't met charismatic AI neither.

I agree. We should broaden our skillset by learning new technologies, software, getting certified in a relevant area. Consider upskilling by pursuing a higher degree or taking intensive training courses related to the field.

I see that every 3-5 years there is some new tech on the market that is worth to be studied. In spite of this any tool such as AI that you are using, become more effective thanks for developers. And also, your skills of using it becomes better after every 1000 experience hours that you spent on it. You also can speed up skill increase rate using learning courses, learning from guru or any other way.

Pour maintenir un système automatisé en bon fonctionnement il faut : -Faire un bon diagnostic préliminaire. -Encercler les anomalies. -Essayer de rétablir le système automatisé dans courte durée. -Essayer les redondances de compilations du programmations ayant des accusations messagère (alarmes de défaillances). -Assurer la rentabilité du système. -Lancer la nouvelle mise à jour pour l’exploitant. Et voilà. Cordialement, Merci.