Podcast Summary
Episode Overview
Podcast: Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools
Host: Jonathan Green (Artificial Intelligence Expert and Author of ChatGPT Profits)
Guest: Luke Jarych (Founder, Career Coach, Digital Transformation Consultant)
Episode Title: There’s Never Been a Better Time to Get into Tech with Luke Jarych
Date: July 7, 2025
In this episode, Jonathan Green and special guest Luke Jarych explore the shifting landscape of technology careers in the age of AI—from myths about “vibe coding” and job losses, to practical advice for candidates and employers. They delve into the realities of AI-assisted coding, the new demands on tech talent, the changing nature of job applications, the critical importance of problem-solving and soft skills, and how both candidates and hirers can better navigate the evolving market.
Key Discussion Points and Insights
1. AI and the Future of Software Engineering
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Myth-Busting “Vibe Coding” and AI Replacing Developers
- Luke dispels the notion that AI will imminently replace all software engineers, explaining the distinction between repetitive coding (which AI can automate) and deeper problem-solving and architecture (which still requires human insight).
- Quote:
“You need to start learn AI because the prompting is a must have right now because it's replacing the repetitive tasks...but no, it will not replace developers because...they have to know the process, how to connect the dots, know the business...” – Luke Jarych [01:28]
- Quote:
- Luke dispels the notion that AI will imminently replace all software engineers, explaining the distinction between repetitive coding (which AI can automate) and deeper problem-solving and architecture (which still requires human insight).
-
Jonathan’s Perspective on “Vibe Coding” Tools
- He describes company experiences with AI-generated code—quick and scrappy, but often messy and hard to maintain or trust, especially for non-coders.
- Quote:
“It’s almost more work to fix it than to start from scratch… You don’t know if you have a security hole or some type of invisible glitch in the backend…” – Jonathan Green [02:23]
- Quote:
- He describes company experiences with AI-generated code—quick and scrappy, but often messy and hard to maintain or trust, especially for non-coders.
2. The Changing Job Market – Higher Expectations for Juniors
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Upskilling and Broadened Knowledge Requirements
- The bar for junior and intermediate tech positions is rising: it’s no longer enough to finish a bootcamp or degree—proactive learning and broader skillsets are expected.
- Quote:
“...to get into it as a junior or even mid, you will need to know more than before...be wider in your expertise… you will need to be more smarter, more have more knowledge to get.” – Luke [04:14]
- Quote:
- The bar for junior and intermediate tech positions is rising: it’s no longer enough to finish a bootcamp or degree—proactive learning and broader skillsets are expected.
-
Employers Want Self-Starters, Not Learners-On-the-Job
- Jonathan shares that companies prefer candidates who already possess problem-solving skills and initiative; they don’t want to invest in basic training for new hires.
- Quote:
“What I want you to say is, I’m going to watch a bunch of videos before and after work and implement them during work hours...Not that you’re going to use my time to upskill yourself.” – Jonathan [05:04]
- Quote:
- Jonathan shares that companies prefer candidates who already possess problem-solving skills and initiative; they don’t want to invest in basic training for new hires.
3. Mindset: Self-Sufficiency vs. Hand-Holding
- Valuing Problem-Solvers Over Passive Learners
- Jonathan highlights hiring for independence, minimal supervising, and action-oriented reporting (not just asking for help at the first sign of trouble).
- Quote:
“The more of my time you cost, the less I want to hire you. So I’ll pay more for less oversight...That’s what I’m really looking for: people that are self sufficient.” – Jonathan [07:18]
- Quote:
- Jonathan highlights hiring for independence, minimal supervising, and action-oriented reporting (not just asking for help at the first sign of trouble).
4. The Surge of Resume and Interview Fraud
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AI-Generated Resumes and Applications
- Both Jonathan and Luke discuss the explosion of AI-generated applications, leading to unreliable resumes, shallow interviews, and enormous applicant pools.
- Quote:
“They’ll look at the job and say ChatGPT, here’s my resume. Convert it into a resume that’s perfect for this job...instead of a hundred applicants, you get 600.” – Jonathan [09:51]
- Quote:
- Both Jonathan and Luke discuss the explosion of AI-generated applications, leading to unreliable resumes, shallow interviews, and enormous applicant pools.
-
Referral Hiring on the Rise
- Due to trust issues, companies are increasingly relying on referrals—even if the candidate is less qualified on paper—because of the overwhelming volume of AI-massaged applications.
- Luke: “It’s very important and I think now it’s a very big switch to finding the job using referrals.” [15:00]
- Due to trust issues, companies are increasingly relying on referrals—even if the candidate is less qualified on paper—because of the overwhelming volume of AI-massaged applications.
5. Strategies for Candidates & Employers
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For Candidates:
- Deep-dive research into companies—understanding whether a company truly aligns with one’s values and talents.
- Stand out by offering solutions or insights before applying (e.g., observe the employer and propose value).
- Quote:
“If I would just want to get to your company, Jonathan, I would just observe you very carefully and try to draw conclusions and propose something for you. Maybe give some value before I apply.” – Luke [16:30]
- Quote:
-
For Employers:
- Focus interviews on storytelling and emotional processes, not just technical solutions (“Tell me about how you approached a problem—not just the answer”).
- Live coding and screen-recorded assignments to verify candidate skills.
- Quote:
“We’ll ask about past experiences… use emotional words and like storytelling words because that’s where engineers are not good at faking that…” – Jonathan [13:07]
- Quote:
6. Metrics and Mindsets: Task-Based vs. Time-Based Work
- Results-Driven (Task-Based) Employment
- Jonathan prefers output-based over hour-based work, incentivizing employees to deliver results, not just log time.
- Quote:
“I would rather pay you the same amount of money and the three things I want… So I'm now paying for product instead of your time.” – Jonathan [18:31]
- Quote:
- Employees must be self-motivated, manage their own time, and focus on value creation, not just process or busyness.
- Jonathan prefers output-based over hour-based work, incentivizing employees to deliver results, not just log time.
7. Soft Skills, Visibility & Career Management
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Career as a Business
- Employees must actively manage and market their career: continually develop skills, cultivate their professional network, keep their profiles updated, and seek testimonials proactively.
- Quote:
“When you are passive, that’s when you get pacified...The person who’s liked often gets promoted over the person who’s more technically qualified...you have to be aware of these things so you can be strategic.” – Jonathan [22:50]
- Quote:
- Employees must actively manage and market their career: continually develop skills, cultivate their professional network, keep their profiles updated, and seek testimonials proactively.
-
Authenticity and Alignment
- Luke emphasizes aligning one’s chosen tech career with intrinsic motivations and strengths, and warns against chasing trendy roles that don't match personality and interests.
- Quote:
"You need to know exactly what is guiding energy for you and what is draining energy from you. And this is the thing which people are missing. They are not prepared, they are not updating any profiles, they are not visible on today's job market." – Luke [26:23]
- Quote:
- Luke emphasizes aligning one’s chosen tech career with intrinsic motivations and strengths, and warns against chasing trendy roles that don't match personality and interests.
Notable Quotes & Memorable Moments
-
On the myth of AI replacing all coders:
“It will not replace developers...they have to know the process, how to connect the dots, know the business and this AI right now will not replace that.” — Luke [01:28] -
On AI-bloated applicant pools:
"Instead of a hundred applicants, you get 600. So of course you have to sip them more extremely...tons of people do not know how to use the specific we list. Here’s our tech stack..." — Jonathan [09:51] -
On making yourself stand out as a candidate:
“Maybe give some value before I will just apply.” — Luke [16:30] -
On time-based vs. outcome-based work:
“I would rather pay you the same amount of money and [if] the three things I want [are] done…I’m now paying for product instead of your time.” — Jonathan [18:31] -
On self-motivation and career ownership:
“When you are passive, that’s when you get pacified...you have to be aware of these things so you can be strategic.” — Jonathan [22:50]
Timestamps for Important Segments
- 01:28 — Luke on why AI will not (yet) replace developers
- 04:14 — The new bar for junior/intermediate coders
- 07:18 — Jonathan on managing self-sufficient employees
- 09:51 — The explosion of AI-generated resumes/applicant fraud
- 13:07 — Interview techniques for authentic insights
- 16:30 — Luke’s advice for strategic applications and company research
- 18:31 — Jonathan explains his task-based management philosophy
- 22:50 — Self-motivation, soft skills, and treating your career as a business
- 26:23 — Luke on authenticity, alignment, and career planning advice
Where to Learn More
- Luke Jarych:
- LinkedIn: Search 'Luke Jarych'
- Website: carechangetoit.com
- Programs: Getting into IT Accelerator – strategies for proactive career moves in tech
Episode Takeaways
- AI is transforming tech work, but savvy, self-motivated problem-solvers are more in demand than ever.
- Stand out by being authentic, building skills, and doing deep research—resume tricks and generic applications are less effective in an AI-augmented market.
- Both employers and employees benefit from a shift to outcome-driven work and open communication.
- Treat your tech career like a business: always look for ways to add measurable value, keep your network alive, and prepare before the market forces your hand.
(End of Summary)