Es natural que el proceso de adquirir nuevas habilidades, especialmente en un campo tan dinámico como la Inteligencia Artificial, pueda generar inseguridades en algunos colegas. Para manejar esta situación de manera efectiva, paradógicamente, deberías usar la inteligencia emocional, lo primero es demostrar empatía y comprensión. Puedes ofrecer tu apoyo, destacando que tu objetivo es el crecimiento colectivo, no la competencia. Invítalo a colaborar en proyectos donde ambos puedan aprender y beneficiarse mutuamente, y comparte recursos o conocimientos que puedan ayudarle en su propio desarrollo. Fomentar un ambiente de aprendizaje compartido puede transformar la intimidación en una oportunidad para fortalecer el equipo y avanzar juntos.

Technology, regardless of perception remains a tool and cannot be substitute for endeavours ranging from ingenuity to perseverance, let alone understanding the needs of the multifaceted workplace of today. The effectiveness is determined by the same collaborative efforts of the many and the insights of the brave to know how and when to use the technology, clearly aware of the opportunities and limitations. AI has enormous potential, but so too does anyone willing to learn and strive to accomplish a means to an end, and the synergies achieved from teamwork are by nature the realm of people. I’d add that whilst many are shouting “gold”, more seem to sell shovels. I’d remind anyone they have the skills to know what others need is most key.

So I scanned this with GPT-Zero (the AI detector) and it classifies the whole article as AI with a probability of 100%. Nothing particularly wrong with that, but it kinda feels a little off. Still, let me take this seriously not because intimidation is real but negligence is. I believe every human who consumes information should be regularly updated with the capabilities of narrow-AI tools. Computer systems are hacked with codes, but humans are hacked with emotions. And for the first time, machines have the capability to do so.

When a colleague feels intimidated by your AI upskilling, it's crucial to foster a supportive environment. Encourage them to view AI as an opportunity rather than a threat. Offer to share your knowledge, suggest resources, and perhaps even learn together. By promoting continuous learning and collaboration, you can help ease their concerns and build a stronger, more future-ready team.

Well it’s important to know that even someone who’s a master at something , once started from 0 . While intimidation is a more common than not feeling in an ever growing tech field , it’s also crucial to not let it be a reason for you to not pursue something , just because someone else is far better at it than you are . All things take time , and while we may be miles behind on a topic others have aced , it’s never too late to start . After all , it’s better to start and see progress in a few months , than to never start in the fear of never catching up :)

One thing I found very useful in AI journey is I was able to allocate time for self to learn and up skill The best learning is self learning try the same

I for one am grateful for the hard work by the Danish Rights Organisation in bringing down illicit datasets, and any partial victory in the many rights holder lawsuits such as Getty v Stability, Andersen v Stability and Kneschke v Laion! 🎉🥳👏👏

When AI leads to success, it’s not just a personal win—it’s a team celebration. By highlighting how AI has contributed to our collective goals, we can shift the narrative from fear to excitement. It’s important to show that AI isn’t just about individual upskilling, but about creating value for the entire team and organization. When we embrace AI together, the benefits ripple across the board—making our work smarter, faster, and more impactful. Let’s celebrate these wins as a team and recognize AI as a tool for shared success.

AI upskilling can feel overwhelming, but it’s a chance to grow and innovate together. It’s important to foster a supportive culture where learning is encouraged at every step. Pairing up skilled colleagues with those less familiar can promote mentorship and make the learning process less intimidating. Encouraging team-based learning sessions where everyone can share insights and progress helps demystify AI and showcases its practical benefits in our everyday tasks.

Setting realistic goals in AI integration is crucial for demystifying the technology and fostering a culture of continuous improvement. By starting with small, manageable tasks, you not only build confidence but also create a framework for measuring success through key performance indicators (KPIs). This iterative approach allows teams to adapt to the dynamic AI landscape, minimizing risks associated with long-term planning. Celebrating small wins reinforces the value of automation and reduces operational toil, ultimately aligning AI initiatives with broader business objectives and driving cost efficiency.

Start with a game plan to introduce AI into everyday workflow: 1. Start with simple tasks like summarizing 2. Document creation 3. Data manipulation 4. Creating and summarizing meeting notes The possibilities are endless.

I would explain how artificial intelligence works and how to apply it to small uses to make repetitive tasks a thing of the past, but while I can help you get started, it is up to you to continue on the path of artificial intelligence, you must be interested and be consistent.

Right now I'm using AI to convert tables into other tables, spellcheck, grammar check, generate code snippets for libraries I'm not familiar with, and getting suggestions on other ways to convey my thoughts in writing. This isn't everything but it's my most commonly used functions. All those things are trivial to look up, or exist in word already, or can be done with a simple python function, but it saves me the headspace when I'm trying to focus on other tasks. I would suggest using and developing AIs in a similar fashion, it's not all about creating a big model to streamline your main task, it's about reducing trivial tasks further into triviality. So make AI's to solve your trivialities, I got mine to track my weight.

One way to foster inclusion and go beyond corporate hierarchy is creating and maintaining an active Data and AI community. Unlike project and executive meetings, community events can be open to anyone interested. Lunch & learn sessions, mini-conferences with internal and external speakers, expo shows with tables per AI project or topic, study groups, support for online education, and tutorial meetings are examples of community events. No prior knowledge is assumed.

As part of my work in Automation CoE, I noticed a colleague growing uneasy about my progress esp. after I did an 1 year Executive Data Science course. Seeing this, during a casual lunch, I shared an example of how I was using AI to streamline a complex task and invited them to collaborate on a Pilot I was working on for an internal team. By working together, we turned a competitive situation into a learning opportunity, blending our skills to enable successful outcomes & meeting desired metrics. An inclusive approach helped win not just his confidence but enabled others to join-in & participate in brainstorming which helped us build new ideas and solution resulting in a cohesive learning and overall growth in the team.

To ease your colleague’s intimidation about your AI upskilling, emphasize how your skills complement theirs. First, identify and acknowledge their unique strengths. Highlight that AI can’t replace essential human qualities like empathy and creativity, which are crucial for decision-making. Explore how AI can enhance their expertise, such as using it to analyze data while they focus on interpreting results. Share examples of AI improving work efficiency and stress that AI can handle routine tasks, freeing them for more strategic and creative work.

Inclusion is key. To facilitate and inclusive environment we need to establish psychological safety so that everyone feels comfortable to voice concerns and fears and asks questions. Sharing mistakes is key as it shows we all struggle and we encourage learning from mistakes. No mistakes without taking risks. Feedback cycles complement the framework and coaching is the management style we need to apply here. Over time, all team members will feel included and part of the journey!

To foster an inclusive environment, collaborate with your colleague by offering to learn AI together, share resources, and position yourself as a supportive mentor. Acknowledge their strengths and how these can complement AI efforts, ensuring they feel valued in the process. Tailor AI discussions to their interests and work, showing how AI can enhance rather than overshadow their role. Encourage them to share their unique perspectives in AI-related decision-making, which promotes diversity and innovation while making them feel like a key contributor to the team's success.

Generative AI is still in its infancy, and there is so much to learn. If you’re someone who has taken the initiative to learn this new skill, pay it forward by sharing your knowledge with colleagues. I have been posting my experiments with generative AI tools on LinkedIn daily, offering tips I’ve learned along the way. I also follow like-minded artists who share their experiences. I’ve found that the generative AI community is full of support and is willing to go out of its way to help you succeed. If you find someone doing something you could learn from, don’t hesitate to reach out to them. I’ve found people to be extremely receptive.

Try to offer to your colleagues any kind of support when navigating onto AI upskilling. Make a supportive environment can make a huge difference in transforming your workplace in a meaningful manner. For instance try to manage a small group of people to better understand the impact of emotional intelligence when relying on AI driven thinking.

Sharing knowledge and support always helpful at every stage i believe. Its boost the moral of learning and by offering support you will learn by many ways. So, in my opinion support with open hands to step ahead.