Journal
Occasional writing on technology culture, digital life, work, money, education, and public issues.
Journal articles
Page 17 of 17AI crypto scams: simple signs before you lose money
How AI deepfakes, fake investment platforms, cloned voices, and urgent messages trick people into crypto scams.
Dollar-cost averaging explained with a simple example
A beginner explanation of dollar-cost averaging, when it helps emotionally, and why it does not remove investing risk.
AI hardware boom: why memory chips got attention
A plain-English explanation of why memory chips matter for AI, why hardware themes can run hot, and what beginners should watch.
How to read stock market headlines without panicking
A practical method for reading scary or exciting market headlines without making rushed money decisions.
ETF inflows explained for beginners
What ETF inflows mean, why they show investor demand, and why beginners should not treat flows as automatic buy signals.
Why data centers became a stock market story
A simple explainer on AI data centers, chips, power demand, infrastructure companies, and why investors keep watching this theme.
AI stocks vs AI ETFs: the beginner difference
A beginner-friendly explanation of AI stocks, AI ETFs, concentration risk, fees, and why hype should not become a full investing plan.
Tiny AI startups: why small teams are suddenly interesting
Why investors and builders keep talking about tiny AI-powered teams, and what normal students or founders can learn from the trend.
AI layoffs explained without panic
A calm explanation of AI-related layoffs, what the data can and cannot prove, and what workers should do next.
AI Overviews and small websites: how to still get clicks
A simple SEO guide for small sites trying to earn traffic while AI answers appear above traditional search results.
How to use AI without making your work look fake
A practical guide to using AI for resumes, emails, assignments, and work documents while keeping your own voice and real proof.
AI skills employers actually want in 2026
The AI skills that help in real jobs, including prompting, verification, workflow design, communication, and knowing when not to use AI.
AI agents at work: what they actually do
A simple explanation of AI agents, where they help at work, where they fail, and how to use them without handing over important decisions blindly.
AI layoffs in 2026 explained: what is actually happening?
A simple explanation of AI-related layoffs in 2026, why companies cite AI, what it means for workers, and how students and early-career people should respond.
Best laptops for engineering students under budget in 2026
A practical 2026 laptop buying guide for engineering students on a budget, with specs, budget tiers, Windows vs Mac advice, and mistakes to avoid.
How to get traffic from Google in 2026 after AI Overviews
A practical guide to getting Google traffic in 2026 when AI Overviews answer simple queries, with topic strategy, page structure, internal links, and proof signals.
Will AI replace entry-level jobs? What freshers should do now
A clear guide for freshers worried about AI replacing entry-level jobs, with practical skills, proof-building ideas, and a weekly plan to become easier to hire.
Notion vs Obsidian for students: which one should you use?
A clear Notion vs Obsidian comparison for students, with examples for assignments, class notes, projects, research, and long-term learning.