@Chill-fs9cu
I really enjoy these IBM sessions. Considering the cyber course for myself.
@iirekm
New technology takes jobs in companies where it can automate something, but creates new jobs elsewhere (which couldn't previously exist because of e.g. too high costs of doing something manually).
@lbenegas
You will need a “human in the middle” in way less quantities. Makes sense, as humans are slow. So, the impact in labor will be hard.
@tomburnell8453
I think the difference now compared with previous advances, is that any time you say ‘humans will still need to do X’ or ‘humans will be freed up to do Y’ you have to ask the question whether AI can also do that (or will be able to soon). What happens when no-one coming out of university is as smart, knowledgable or creative as the AI?
@eman0828
The only caveat with Generated code is you still need to understand programming concepts. You can't just generate random code and not understand what is doing. For instance, how would you debug the code if Ai doesn't understand bad or good code or right or wrong? How would you know your code doesn't have security vulnerabilities. How would you know if your code will work and not have issues esp in a production environment? Programming is like an art as it takes a creative mind to think outside of the box to create new solutions and solve problems.
@AndersonLacruz-h5f
Thanks for sharing the perspective. However, from my point of view this is general explanation. I still have some doubts, there are many other factors to considerer such as: many companies are reducing IT staff in a low percentage, people with long experience have been layed off, many companies are dealing with budgets limitations, every country is facing its own economic situation, what about recession, we need to analyze the lack of cybersecurity professionals and the professionals available in the market to understand in which specializations areas and level of expertise are required, and so on. It´s clear the AI is going to help, but at the same time many organizations are reducing costs using AI to automate tasks and distribute the work with less people. There is nothing hidden that people with long experience and expertise is a high cost for companies, this is an example that is happening "do more with less". I have heard this in many tech companies and also seen it. Sorry to disagree in some way, but I was expecting to listen about the reality about this subject. If you review the priority of many companies, they are focused to grow the business, more than keep or hire more people to reinforce the cybersecurity program. This matter will require a second or third video. Regards
@MP-vb1ik
The issue is: The HITL could also be an ai in the future! I am currently working my way in into deep learning, and I have to admit that I did underestimate it. With ai you could almost automate any office job except some ai supervising jobs and jobs which require human interaction. Mid-term limiting factors are processing power and long term natural resources. Basic income will be required sooner than later.
@Tony-dp1rl
It is guaranteed to take at least 80% of CyberSec jobs. Most security jobs are simply looking at code for vulnerabilities, running scanning tools, trying known attacks, reporting, etc. AI can do all of that and more.
@Wild-Instinct
No one will give him credits for writing backwards like this ?!
@jaymobile4146
While it is optimistic to envision AI as merely a tool that augments human capability in cybersecurity, the counter argument holds that AI’s rapid advancement and adoption could lead to a dramatic reduction in demand for human labor. The combination of automating routine tasks, encroachment into higher-level decision-making, economic incentives to cut costs, and the potential for skill mismatches suggests that we might see a level of job displacement in cybersecurity—and possibly in many other sectors—that is unprecedented in history.
@Victorylap2024
Very helpful content. This will definitely help me have a clear career path.
@learnbydoingwithsteven
We might do some experiments to simulate both sides, so we can understand their capability of attack and defend.
@zimmerderek
It's really important not to overstate AIs capabilities here. It doesn't understand anything and is just generating code based on a prompt, and trained on imperfect training data. That's why AI generated code often has features that no one asked for and serious logic bugs, it's a next-word predictor on steroids. Not to mention maintenance and debugging seem to be things it is particularly bad at.
@shekharkumar1902
Slightly Agree . just for your FYI, AI is moving towards AGI.
@RR-vz8np
Jeff explains complex issues in such an understandable way that is so good😊 thanks Jeff. Ray
@farexBaby-ur8ns
Rather than saying will humans be needed in cybersecurity - which is an obvious yes, would’ve been nice if you had quantified with a percent reduction in each role in the cybersec arena- like would we need 2% of current sec analysts. 1% of current incident responders, 20% of the security archs etc. pros and cons vey nice, however
@connectednumbers
"Bhai waah! This video on AI and its impact on jobs was mind-blowing. The way you explained the role of automation and cybersecurity in the current job market was really insightful. As someone who is interested in staying agile with AI, I found this video super helpful. Thanks for sharing the links to the ebook and more resources on AI and the future of work. Can't wait to check them out! Keep the amaz
@adrielomalley
Always valid points. Great clarification, Jeff.
@jeffturner415
Great presentation. AI is our partner in everything including teaching security. The right model with the right prompts will shrink our old workload from hours to minutes with an improvement in quality. If we can't shift right, we'll see our competitors and adversaries pass us. How will we maintain our focus and think deeply at this new pace without burnout? What are the new set of foundational skills? LLM will always be a better writer. Do we still need English 102 or JAVA 3?
@mikesanders902