Saim Malik

27/05/2026

Eid Al-Adha is not just celebration—it’s reflection.

It’s about sacrifice, patience, and choosing purpose over comfort.

Sometimes growth means letting go of what feels easy… to reach what truly matters.

Eid Mubarak to everyone celebrating 🌙✨
May this Eid bring peace, clarity, and strength.

21/03/2026

𝗘𝗶𝗱 𝗠𝘂𝗯𝗮𝗿𝗮𝗸 🌙✨

Blessed for another opportunity to pause, reflect, and reset.

This Eid isn’t just about celebration—it’s about discipline, consistency, and growth. The same values we build during Ramadan are the ones that define how far we go in life and career.

As a software engineer, I see a lot of parallels:
Patience → Debugging complex systems
Discipline → Writing clean, scalable code
Consistency → Showing up even when motivation drops

Wishing you peace, clarity, and meaningful progress—both personally and professionally.

Let’s keep building, learning, and improving

17/03/2026

𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗺𝗮𝗸𝗶𝗻𝗴 𝗺𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝟭𝟬𝘅 𝗺𝗼𝗿𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗲. Not even close.

In reality, the impact today looks much closer to ~𝟭𝟬%.
And the data explains why? The recent research by suggests something very different.

The productivity boost today is closer to ~𝟭𝟬%, not 𝟭𝟬𝘅.
Not because AI isn’t powerful. But because 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 ≠ 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗶𝗺𝗽𝗮𝗰𝘁.

Researchers compared two things across different occupations:
• Theoretical AI exposure — how much of a job AI could help with
• Actual usage — how much people are actually using AI today.

The gap is huge.
For example:
𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 & 𝗺𝗮𝘁𝗵 𝗿𝗼𝗹𝗲𝘀
• Potential AI exposure: ~94%
• Real usage today: ~33%
𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 & 𝗳𝗶𝗻𝗮𝗻𝗰𝗲
• Potential: ~92%
• Real usage: ~40%
𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲
• Potential: ~58%
• Real usage: ~5%

This pattern shows up across nearly every industry.
AI is technically capable of assisting with a large share of tasks, but most of that capability hasn’t translated into real productivity yet.
So the real story isn’t that AI is failing. It’s that deployment that is the bottleneck.

The hype focuses on model capability.
The real challenge is turning capability into operational productivity.

And that’s a much harder problem than building the model.
The companies that figure out how to close that gap will be the ones that actually benefit from AI.

In my next post, I will break down and talk about why this gap exists? and what are the structural factors that are slowing down AI adoption?

Hassan Syed What do you think the factors are that are slowing the AI adoption? I love to get your insights.

Any questions? DM me — always happy to help.

23/02/2026

Pov: you're attending The biggest tech event of Hyderabad 🫀✨
Indus AI week 2k26 truly mind blowing experience.
Incredible people building incredible products... Worth Attending

14/02/2026

Had an incredible experience at 𝗜𝗻𝗱𝘂𝘀 𝗔𝗜 𝗪𝗲𝗲𝗸 in Hyderabad, hosted by Hyderabad and .smit hyderabad!

I had the privilege of attending as an instructor for the Web & App Development course at SMIT Hyderabad, and it was inspiring to engage with sessions on 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, and the cutting-edge developments shaping the AI landscape.

A special thanks to the project head of SMIT and the entire team at NIC Hyderabad for organizing such a well-structured and insightful event. Events like these truly highlight how AI is transforming workflows and empowering developers to push the boundaries of technology.

Excited to apply these insights and continue fostering innovation with my students! 💡

27/01/2026

Google’s 2025 Hiring Strategy: Talent War & Boomerang Engineers
According to a recent CNBC report, Google is navigating one of the most competitive talent markets in tech — especially for AI engineers.

Key takeaways:
• Boomerang hiring on the rise — ~20% of Google’s AI software engineers hired in 2025 were former employees returning to the company. That’s a notable increase from previous years as Google leans on its alumni pool to fuel growth.
• Fighting for AI talent — Google is in a fierce war for top AI engineers with players like OpenAI, Anthropic, and Meta aggressively recruiting.
• Layoffs created a talent pool — After the company’s largest layoffs in history in 2023, Google now has a large group of experienced former engineers to potentially bring back.

The AI hiring landscape is shifting fast — not just new faces, but familiar ones coming back to build the next generation of AI products.

👉 For full context and more detail, read the complete article: https://www.cnbc.com/2025/12/19/google-boomerang-year-20percent-ai-software-devs-hired-2025-ex-employees.html

06/01/2026

𝐀𝐈 𝐢𝐧 2025 𝐰𝐚𝐬𝐧’𝐭 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐛𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 — 𝐢𝐭 𝐰𝐚𝐬 𝐚 𝐜𝐡𝐚𝐢𝐧 𝐫𝐞𝐚𝐜𝐭𝐢𝐨𝐧.
It started as a race.
It turned into an arms war.
It ended with AI becoming unavoidable.

Here’s what actually mattered in 2025 👇

DeepSeek set the tone
It proved top-tier reasoning isn’t exclusive to Big Tech.
Cost-efficiency and performance-per-dollar became first-class metrics.

GPT-3.5 refused to die
Despite newer models, it dominated real usage.
Speed, reliability, and ecosystem maturity mattered more than novelty.

Gemini 3 Pro was a platform shift
Not a demo model — a move toward AI-native infrastructure across Google’s ecosystem.

The Ghibli-art moment changed perception
Multimodal AI crossed a creativity threshold.
AI became emotionally resonant, breaking old ideas of authorship and ownership.

Google’s ‘Nano Banana’ strategy
Small, on-device models proved AI doesn’t always need the cloud.
Latency, privacy, and edge computing mattered again.

Manus AI made agents real
Agents stopped being buzzwords and started executing tasks.
Imperfect, risky — but disruptive enough to threaten SaaS.

The takeaway
AI stopped being a feature.
It became infrastructure.

2025 rewarded ex*****on — not curiosity.

What AI moment in 2025 made you rethink things?
Drop it in the comments 👇

23/12/2025

Mazay karne ke time COVID agaya or kamane ke time AI
🙂🤐

04/12/2025