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There will be no “jobs apocalypse” due to AI, but there will be job chaos.
According to Gartner's 2025 AI Job Impacts Analysis, they found that starting in 2028-2029, AI will create more jobs than it eliminates. Yet, each year, over 32 million jobs will be significantly transformed.
Source: Gartner
Apple announced its new slate of laptops on Tuesday morning, including new MacBook Air and MacBook Pro models that use Apple’s M5 chips. The Pro models were unveiled alongside the brand new M5 Pro and M5 Max chips, which Apple describes as its most advanced CPU cores yet.
The company said these updated M5 chips were specifically designed to make the MacBook Air and MacBook Pro laptops better at handling intensive AI tasks, which are becoming more of a focal point for new Apple hardware. Both the new Air and Pro laptops can handle AI tasks up to 4x faster than their respective M4 predecessors, according to Apple.
These AI-centric upgrades may not be immediately noticeable for more casual users who aren’t trying to run a computationally intensive network of AI agents or generate fast 3D renderings. But these advancements permeate other aspects of the laptops as well.
MacBook Air users get perks like 18 hours of battery life (a six-hour improvement compared with the last Intel-based Apple laptops from 2020), as well as a 12MP Center Stage camera for video calls, a three-mic array, and a sound system that supports Spatial Audio and Dolby Atmos. The MacBook Air has two Thunderbolt 4 ports, a MagSafe charging port, and a classic 3.5mm headphone jack.
The new MacBook Air lineup comprises a 13-inch model (starting at $1,099) and 15-inch model (starting at $1,299), with color options in sky blue, midnight, starlight, and silver. The Air also now comes with starting storage of 512 GB, doubling the previous model’s base storage capacity.
As usual, the MacBook Pro is geared toward more technical users, especially developers working with AI. The M5 Pro and M5 Max chips are up to 4x faster at LLM prompt processing than the M4 Pro and M4 Max, and up to 8x faster at AI image generation than the M1 Pro and M1 Max.
Apple says this makes it possible for AI researchers and developers to train custom models on their device, and creative users could benefit from faster 3D rendering, video editing, and music production work.
The MacBook Pro also features up to 2x faster read/write performance than the last generation, and will start at 1TB of storage for the MacBook Pro with M5 Pro, and 2TB for the MacBook Pro with M5 Max. Apple says these laptops have up to 24 hours of battery life, and with a 96W or higher USB-C adapter, users can charge to 50% battery in 30 minutes. The laptops support Thunderbolt 5 and have a six-speaker sound system.
The 14-inch and 16-inch MacBook Pro models with the M5 Pro chips start at $2,199 and $2,699, respectively, whereas the models with the M5 Max chips start at $3,599 and $3,899, available in either black or silver colorways.
All of these laptops will be available for preorder on Tuesday, March 4, and will available beginning on Wednesday, March 11.
Source: TechCrunch
Just discovered an amazing AI video tool that transforms text into native 4K cinematic videos. With multi-shot storyboarding and audio sync, creating professional videos has never been easier. Check out Kling 3.0
We’ve been discussing this internally and wanted to get broader opinions.
With AI tools answering questions instantly and summarizing information, it seems like discovery is shifting away from traditional browsing.
At the same time, websites are still where businesses:
Present their brand properly
Share proof and detailed information
Structure their services clearly
Convert visitors into clients
It feels less like “websites vs AI” and more like a shift in how traffic reaches businesses.
Curious to hear from founders and developers here:
Are you seeing less importance in websites, or are they simply evolving?
Honestly, the barrier to launching a website is no longer technical - it's strategic.
I came across a great guide recently that reframes the whole no-code conversation. Most people pick a drag-and-drop builder, choose a pretty template, and wonder why signups don't come. The real issue? Strategy comes after tooling, when it should come first.
Here's what actually works:
Before touching any builder, lock in:
- Who your audience is
- What specific problem you're solving
- What proof you have
- What ONE action you want visitors to take
Then pick your tool based on weighted criteria - editing speed, SEO controls, integration depth, mobile reliability - not by watching demo videos.
A few other things that stuck with me from the guide:
→ AI is a draft accelerator, not a decision-maker. Use it for speed, then edit for clarity and credibility.
→ Most weak no-code sites fail because of vague messaging, not bad templates. "Innovative solutions for modern teams" tells nobody anything. "Launch conversion-ready pages in hours without developer dependencies" does.
→ Weekly iteration beats quarterly redesigns. Small, isolated experiments compound faster than big overhauls.
→ Proof should appear early — near your hero, not buried at the bottom where most people never scroll.
If you're building a landing page, product page, or event registration page without a dev team, this practical framework is worth bookmarking 👇
Would love to hear — what's been your biggest bottleneck with no-code tools? The tooling itself, or figuring out what to actually say on the page?
Anthropic is providing self-paced courses of around 1-2 hours each, which provides official certificate upon course completion.
Courses available for Free:
- Claude Code in Action
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- AI Fluency: Framework & Foundations
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- Claude with Amazon Bedrock
- Claude with Google Cloud's Vertex AI
- Teaching AI Fluency
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If you're a founder building a content-driven business, original content is everything. It drives your SEO, builds authority, and keeps your audience coming back.
But let's be real. When you're scaling content production, plagiarism can slip in without anyone noticing. Outsourced writers, AI-generated drafts, repurposed content. It all adds risk.
We tested and compared the best plagiarism remover tools available in 2026 so founders and small teams don't have to waste time figuring it out themselves.
We also built a free tool you can try right now with no signup: https://plagiarismremover.ai/
Full comparison here:
https://plagiarismremover.ai/blog-post/best-plagiarism-remover-toolshttps://plagiarismremover.ai/blog-post/best-plagiarism-remover-tools
Roll-out of an AI-powered, secure and engaging messaging experience for millions of users in India, setting a new benchmark for a secure carrier-backed messaging service.
Airtel’s network intelligence to be combined with Google’s Rich Communications Services (RCS) platform and spam filtering for enhanced protections that significantly reduce mobile spam and digital fraud.
This will solve for the critical protection gap in non-telco communication platforms and standalone apps that are being increasingly been exploited by sophisticated bad actors, becoming common tools for financial fraud and invasive spam.
By extending the accountability of telecom-grade safeguards to the modern messaging experience, the messaging service will foster trust in enterprise communications by enabling enterprise customers to easily distinguish legitimate business messages from spam and stay protected.
The solution will also enable brands to build deeper engagement with their customers who will feel safer and in more control. This will, in turn, lead to enduring customer relationships which are imperative for business growth and success.
Source: Airtel
Wrote a deep dive comparing ChatGPT, Grammarly, and QuillBot for AI plagiarism removal. None of them were designed for this use case. That gap is exactly why we built PlagiarismRemover.AI as a purpose-built solution.
https://plagiarismremover.ai/blog-post/can-chatgpt-grammarly-quillbot-remove-ai-plagiarism
Lots of internships startups and even big companies try to hire are in unpaid category, and I feel that a paid-only internship platform should be more advantageous for students.
Cons:
Big internship/job platforms already have filters for paid internships too.
Getting initial traction and internship applications on the site
Monetizing the platform will need at least 1-2 yrs until reliability is built.
What's your opinions on this? Is the market too saturated, or is there still scope to build something meaningful to society, and also be able to monetize it long-term?
Shareholding pattern of Deepinder Goyal's new startup Temple after $54 Mn maiden funding
Notable investors 👇
- Deepinder Goyal
- Kunal Shah
- Vijay Shekhar Sharma
- Raj Shamani
- Steadview
- Peak XV
- Info Edge
- NKSquared
- Varun Alagh
- Abhiraj Bhal
Source: Entrackr
