Browse Comments — LLM coded

For entry level positions AI isxa big threat because their tasks are typically the ones you use AI for when you're already an expert or a manager. But how to become an expert if you don't start learning the job at an entry level after graduation... ?

A really important perspective on how AI is changing the value of work rather than simply replacing it. The people who will stand out are likely the ones who learn how to combine technical skills, adaptability, creativity, and domain expertise instead of relying only on traditional credentials. The point about building publicly and showing real-world problem solving is especially relevant in today’s market.

This is explored in my new book on Artificial Intelligence - AIlienMinds summary Optimists foretell a golden age of Al-managed abundance. Doomers cry: vast cyber-minds will crush old style humanity! ... or make us irrelevant. Meanwhile, geniuses fostering the artificial intelligence boom clutch clichés rooted in our dismal past... or else in cheap sci-fi. Is there still time for perspective? - on 4 billion years of evolution? - or 60 centuries of feudal stagnation? - or how we handled prior tech revolutions? - or mistakes that keep getting repeated... - or ways this time may be different? From Al-driven unemployment to deceitful images, to hallucinating LLMs and tools for tyrants... to potential wondrous gifts by machines of loving grace... come evade the standard ruts.

Some needed context on both sides of the equation. We've recently added four software engineers to the Avnir team.Students/candidates: Two joined us through an internship. You significantly derisk that position for an employer if they can experience your intellectual curiosity, horsepower, learning velocity, and work ethic. Put your ego aside, hustle, learn new skills that Claude Code can't do (yet), and get your foot in the door to work in a fast-paced, high-pressure to produce outcomes (code is not an outcome!) team environment.Employers: I don't know a business that doesn't need fresh thinking. When you invest in the right kind of human talent, they'll amplify your AI investments. Recent grads think very differently from traditional software engineers. Other functions bring their customer- and product-centric knowledge to engineering, all in an effort to thrive amid the evolution toward AI-first thinking.

Companies mentioned in connection with reduced, limited, or reassessed AI spending in 2025–2026: 1. Uber: reportedly reviewed AI spending after using up its annual AI budget much faster than expected in 2026. 2. Microsoft: limited or scaled back access to some internal AI tools as token and usage costs rose. 3. Amazon: tightened controls around AI usage and token consumption, and signaled that AI should not be used for its own sake. 4. Meta: was mentioned among companies paying closer attention to AI-related spending and internal usage. 5. Salesforce: was also cited among companies moving toward tighter controls or rationing of AI usage due to rising costs. 6. Klarna: partially reversed its aggressive AI-driven customer support strategy and brought more human workers back. The issue was mainly service quality, not cost alone. 7. Duolingo: softened its strict “AI-first” position after public criticism. This was more of a strategic adjustment than a direct budget cut. Reuters reported, citing Gartner, that more than 40% of agentic AI projects may be cancelled by the end of 2027. The trend was already visible in 2025–2026, with rising costs, unclear business value, and immature technology among the main reasons.

150 applications without response, is normal for many jobs, with or without AI. Graduates with experience may expect 100+ applications before they land the right one. What more the fresh graduates. So if you ask me, it is not entirely about AI. More about persistence and grit rhat is lacking.

I believe it’s a short dip as companies are starting to realize how implementing AI does not really solve their business problems without a human in the loop feeding it clean data/context, and training it how to use it properly. We are far from Autonomous AI for most use cases. Now do I think people should be gaining new skills and shifting their paradigm of exploring new industries/careers outside of their education and degree? YES!! 100% We are in such a fast pace culture that you will need to go back to college every 10 years to reset.

Michelle L. Being obsolete after graduation will depend on their major & minor. But far more important after graduation is to understand that their learning journey has just begun until they fall dead. If they don't take that for granted, their jobs will quickly obsolete. Some majors like Engineering in computer science, Computer Gaming, 3D Printing, AI internet applications in general do become obsolete very quickly. there are also many majors in the humanities that are not obsolete but don't have professional futures. & that is were parents & University advisors should help with orientation. But as we can see it doesn't work.

I'm surprised Laura the AI director is called it chatGPT when it's actually open ai. Graduates will need to adapt. Obviously jobs will decrease not increase.

Revise your curriculum, every university must inlcude AI courses like its a mandatory mathematics. It should be done through government ministries to re,evaluate all fields of studies. Otherwise there will be less humans ready for these new 1.7 M jobs.

"The proactive thrive. The passive get displaced." Since when this is a new trend ? With AI or without AI. It was not always like this ? It has always been like this. It’s a fundamental law of economic history.

AI doesn’t replace ambitious people.It exposes passive ones. The students winning right now aren’t always the smartest in the room. They’re the ones shipping weird projects at 2AM, learning in public, breaking tools, fixing them, and moving faster than curriculum updates. Meanwhile some executives are still scheduling a 6-week meeting cycle to discuss whether AI is “relevant.”By the time the committee approves the pilot, an intern has already automated half the workflow with three prompts and a coffee. The future probably belongs to people who can do both:think clearly like humansand move insanely fast with AI.

Honestly if you know all the principles of how to code and you've spent 3 years studying it, you have the cheat code. You have the expertise to orchestrate AI systems and debug better than anyone else. And every business in every domain needs this right now and to become AI first. Lots of money to be made from this right now.

We've seen the same thing back in the 2000s when the Internet bubble burst. So a lot of jobs were lost and a lot of the youth decided not to pursue IT then we suffered a lack of IT resources for a while. This seems to be similar with the AI bubble but the disruption seems to be higher. I think IT and Technology is still a safe bet but the youth have to adapt to a new reality and a recession in parallel. Welcome to the world of adult hood :) Nothing is easy and we have transform ourselves every few years. As Michelangelo said at 87: I'm still learning!