Tag: career

  • Staying Employed

    The revolution with GenAI has been quite the ride since 2023 and quite a few people have been concerned that their employment status might be in jeopardy. I can certainly understand that, especially in light of the tight budgets, widespread layoffs, and executive views on AI technologies.

    There was an article recently talking about AI taking over some jobs with a few tips on how to stay employed. While tech workers weren’t mentioned as being vulnerable, repetitive data-heavy jobs, such as data entry clerks, telemarketers, and cashiers were. That last one is interesting. Lots of companies have tried to use automated checkout stations, but this hasn’t necessarily eliminated cashiers. Maybe there are fewer, but lots of companies in the US have rolled back some of these efforts as fraud, mistakes, and slower checkouts have been an issue.

    The data-heavy group might include ETL developers for sure. I suspect this is an area AI is well suited to help build flows, map data, and handle updates more easily. This won’t eliminate the need for an ETL developer, but it might reduce the number needed and certainly reduce the skill level required to code data movement scripts.

    There are lots of jobs that might not be vulnerable, including tech people who work on AI, cybersecurity people, and others. I think DBAs aren’t likely to go, though perhaps we will need fewer DBAs and developers over time as AI models become more capable of repeating work.

    The tips for navigating this new world aren’t anything different than my advice for years. Improve your skills, both technical and soft. Learn new technologies, but more importantly, show that you add business value with your work. Don’t depend on someone else to tell you what to do. Learn what things are important to your boss and organization and tackle those things early and often. Work to be an effective and efficient worker wherever you can and learn about your business. Those skills and that knowledge make you more valuable than most AI models.

    Steve Jones

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  • Can an AI Help Me Find a Job?

    I’m not looking for a job, but I ran across an article about using AI tools for a job search. So I decided to try it out. I followed a couple of those prompts and get some results. Here is a set of things I did.

    Salary Calculators

    I ran this prompt from the article: What are some of the best salary calculators for a Data/SQL Server professional? Provide a list of your top 4 recommendations and the pros and cons of each one. Provide any helpful links. Format as a table.

    The results? Mixed. Here is what I got from my local Deepseek model. Note, I didn’t get a table.

    2025-03_0123

    From Claude:

    2025-03_0124

    From Perplexity

    2025-03_0125

    Are these helpful? Well, I knew about GlassDoor and the BLS. Didn’t know Robert Half has a calculator. If I had done this a few years ago, I would have Googled this. When I did, I saw Payscale, Zippia, and CompTia. Ziprecruiter had hourly salaries, US News had a link. None of the ones in the table were there.

    Both the Payscale link (Google) and Robert Half gave me similar results. Is the AI more helpful? It gave me a few things to think about, but it didn’t find some of the top Google links. Not sure what to think about that.

    My Worth

    I decided to ask this prompt: I am a senior database administrator with over 20 years of experience working with SQL Server in large and small companies, handling a variety of operational responsibilities. I have developed and implemented high availability solutions, automated server builds, understand DevOps style database development and GitOps management of servers. I have managed replication, built ETL pipelines, and implemented role-based access controls. What is the market value of my skill set?

    The local model didn’t really help here. It gives me some generic things to think about and consider, and some ideas of where to look, but no real links.

    Claude:

    2025-03_0127

    Perplexity:

    2025-03_0128

    Adding Skills

    From claude:

    2025-03_0129

    And perplexity:

    2025-03_0131

    Those are interesting ideas. I’m sure I could follow this up and get more details on some of these and perhaps kickstart my learning. These are areas an AI might be helpful to help guide you or develop a plan. Certainly a friend might do this, but it’s tedious work. Getting some links, assembling a plan, etc.

    Claude builds a detailed plan on the right side and describes it on the left The plan has a lot of links to documentation for tools below the phases:

    2025-03_0133

    Preplexity gives me a plan, with links as footnotes.

    2025-03_0132

    Negotiation

    I used this prompt as is from the article: I am making $98,000 with 3 weeks of PTO now. I want to ask for an 8% raise and an additional week of PTO. I also want to work from home one more day a week, especially if I can’t get any extra PTO. What guidance do you have for making this request? What other rate negotiation best practices should I keep in mind?

    Claude: a decent plan to get prepare.

    2025-03_0135

    Perplexity: very similar results

    2025-03_0136

    This isn’t a lot different from advice I’d give, but I wouldn’t write this all down. If someone told me this, I might forget some things. A plan is always good, and the AI has given me a decent plan. I might copy this and run it by friends, who are more likely to mark it up or add to it rather than build the whole thing.

    It’s an assistant to getting started and a pretty good one.

    A Cover Letter

    These are a pain, and I always struggle to get one moving. Here are the results from this prompt:  Given my experience, help me write a cover letter to apply for a DBA job

    Claude: Again, an explanation on the left and a result I can start with on the right. It’s  a bit wordy and AI-like, but I can adjust that.

    2025-03_0137

    Perplexity: Simpler, but effective.

    2025-03_0138

    Note, I didn’t paste anything else in, the AI remembered my experience from earlier in the chat. That’s way, way, way better than working through a search engine.

    Summary

    For most of us, (I hope) searching for a job is a rare thing. It’s always a pain, and it can be stressful. It’s also easy not to be organized and forget things. A GenAI can assist you with more patience than your friends or family might have. It can give you a good start, but please don’t just copy/paste this stuff or follow it blindly. Ask fellow humans what they think of these recommendations.

    The GenAI models are trained on lots of data, and they can function as a sounding board, but they aren’t bringing creativity, and your answers will look a lot like other people’s answers. Lots of people will use an LLM to help them here, so make sure you tweak things to stand out a bit.

    And build your brand, and let GenAI help you. Don’t let it write blog posts, but it can sketch things out that you edit and clean up. That editing and cleanup skill will help you in interviews and jobs, so don’t forget to polish the final product yourself. Let the GenAI be an assistant that gets you started and that’s it.

  • Widespread New Technology Adoption

    This week I saw an article at Ars Technica that noted in 2025 that electrical vehicle sales had increased 28% in the US. That’s quite a level of growth in adoption of this technology, especially given how set in their ways the US can be and how often these transition away from ICE vehicles has been politicized.

    I’ve had a Tesla for a little over 3 years and I think it’s the best and most fun car I’ve over owned. The technology and convenience are amazing, and I still enjoy driving the car around. For the most part I don’t have range anxiety, though I recently skipped using it on a weekend trip. The car has proven to be very inexpensive to operate and I wouldn’t hesitate to purchase another EV.

    Apparently lots of other people feel the same, though not everyone. About 75% of new vehicles sold are still ICE vehicles, which I completely understand. Not everyone has access to regular charging at home and the cost of these vehicles, while only slightly more than ICE ones, is still much higher to start. That hasn’t stopped many people from evaluating and choosing to purchase a car that runs on battery technology. However, plenty of people just don’t want to adopt new technology.

    I see the same thing in the tech industry. GenAI has been quite the disrupter the last few years, but many people don’t trust models and don’t want to try to use them. I’ve also seen many people who blindly trust this new technology, which can be even worse.

    I’ve seen the same type of attitude in the past with DevOps, PowerShell, NoSQL and other technologies. Many people are slow to adopt new technology, for a variety of reasons. It might be they aren’t sure the technology really offers any improvement, which is understandable. After all, if something new doesn’t actually provide significant benefits, is it worth an investment? After all the investment is a cost and there are likely some downsides.

    There are other people who are resistant to any change or unmotivated to bother, preferring to stick with what they know and are comfortable with using. I don’t quite understand this view, as it’s entirely possible we originally learned a poor way of doing things. It’s also likely that as technology changes, there are improvements made from our learnings in the industry. Certainly doctors, mechanical engineers, architects, lawyers, and more adopt new practices because their professions evolve and move in new ways, so why should technology professionals be different?

    I’d like to think that the reason many people don’t bother to learn new (or improve existing)  skills or adopt new tools is that they don’t have time. We’re all under pressure to get work done, and often without any planning for our various administrative work and meetings, let alone time to invest in ourselves. However, I will say that finding a way to carve out time to read, experiment, and practice skills has helped me improve my own career prospects, as well as helped me convince employers to match my investment with their own time, resources, and funding.

    Steve Jones

  • T-SQL Tuesday #184–Mentoring

    This month’s T-SQL Tuesday blog party is hosted by Deborah Melkin, and it’s a good one that asks us where we are making the world better. The topic is mentorship and sponsorship, which is great. We all ought to pay it forward or pay it back, depending on how lucky we are. I believe strongly in this and am glad to see the topic posted.

    I still manage the T-SQL Tuesday list, and I’m always looking for hosts. I have a few scheduled for 2025, but I can use more. If you’re interested in hosting, hit me up at one of these places:

    The Mentoring Experiment

    Andy Warren and I ran The Mentoring Experiment a few times in the past before life got too hard and we decided to pause. I wrote about mentoring as well, and didn’t publish a lot on the experiment as most of the conversations were private.

    I’m somewhat sorry we didn’t continue this, but it proved to be a little overwhelming at that time in our lives.

    My Mentoring Experiences

    I’ve had a few mentors in my life, and while some I’m not comfortable sharing, there are a few that stand out.

    In high school, I had a mentor who was a Navy Pilot. He was a client of my Mom’s and she asked him to give me rides to and from karate, where he was also a student. On our rides, he shared some advice, some thoughts on life, while taking an interest in me. A few things stand out, one of which I still think about today: before I send an email, how would I feel if this were made public? This keeps me from writing too emotionally.

    For the last 20+ years, Andy Warren and I have talked most weeks of the year. We miss a few when we’re on vacation, or I’m traveling, but he has been a great mentor to me, helping me think through life’s challenges. I hope I’ve done the same for him.

    Giving Back

    I think part of what I should do is try and make the world better. Part of that is my trying to get a variety of people to write at SQL Server Central or host here. I’ve reached out through my network to find women or minorities that would participate in our data community, and give them a voice. I’ve been less successful than I would have liked, but I have had a little success.

    I’ve also convinced a few people to speak. I usually look for people at events that are engaged, ask interesting questions, or just have good conversations with me. I’ve found it takes months, but if I encourage them, I’ve gotten some of them to write or speak for free to share their knowledge and grow their own skills. There are a couple successes who many of you likely know their name and a few more that tried it and gave up.

    I think the more you encourage people to engage in life, the more they (and you) get out of it.

    I also try to do this as a coach, getting them to grow and learn more than just the sport. I think it’s worked out well as many kids keep in touch over the years.

    I think many of you can do the same thing. Help others grow and find their own success, with encouragement, support, and a friendly ear.