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Anthropic CFO Krishna Rao says more than 90% of the company’s code is now written using Claude Code, Anthropic’s own AI coding assistant.

That’s a pretty huge shift considering this is one of the world’s leading AI labs saying it publicly.

According to Rao, AI is no longer just helping engineers write code faster. It’s increasingly handling:

• Coding
• Financial reporting
• Operational workflows
• Internal analysis

while humans move toward reviewing, supervising, and making strategic decisions.

His line was interesting:
“Everyone kind of becomes a manager.”

And honestly, that’s probably the clearest description yet of where white-collar work may be heading.

The surprising part is Anthropic claims AI productivity hasn’t reduced hiring internally. Rao says the company actually hired more people because teams can now move much faster.

At the same time, the infrastructure side sounds enormous:

• $100B+ compute commitments
• Deals with Google, Amazon, and Broadcom
• Heavy TPU and Trainium deployments starting in 2027

Rao even said compute is now the “lifeblood” of the company.

That’s why the AI race increasingly feels less like a software battle and more like an infrastructure arms race.

Still, even Anthropic admits the transition won’t be painless. Rao openly acknowledged there will likely be “bumps on the road” as industries adapt.

And honestly, that may be the most realistic part of the entire conversation.

If AI eventually handles most execution work, do you think future white-collar jobs will mainly revolve around supervision and decision-making instead of actual production?

Skyroot Aerospace has moved its Vikram-1 rocket to Sriharikota for final integration ahead of launch.

If successful, this will become India’s first privately developed orbital launch vehicle to reach space.

That’s a massive milestone for a sector that was opened to private players only in 2020.

The bigger story here is how quickly Skyroot moved:

• Founded in 2018
• Sub-orbital Vikram-S launch in 2022
• Orbital launch attempt now approaching

That’s an incredibly fast development cycle for a space company.

What investors really like is Skyroot’s positioning:
Dedicated small satellite launches instead of waiting for crowded rideshare missions.

And there’s clearly confidence behind it. The company is already valued at over $1 billion with backing from firms including:

• BlackRock
• GIC

Interestingly, Skyroot expects most of its revenue to come from overseas markets like:

• US
• Europe
• Southeast Asia

which shows India’s private space ambitions are already thinking globally, not just domestically.

And this is probably just the beginning. The company is already working on Vikram-2 for heavier payloads and constellation launches.

If Vikram-1 succeeds, India’s private space industry instantly becomes much more credible globally.

Do you think India’s private space startups can realistically compete with companies like SpaceX in the long run, or will they remain niche launch providers?

Cisco is reportedly laying off over 5% of its workforce, impacting more than 4,000 employees, even after posting record quarterly revenue of $15.8 billion.

That’s the important part here:
This isn’t a struggling company cutting costs to survive.

Cisco says the layoffs are part of a broader shift toward AI-focused areas like:

• Silicon
• Optics
• Security
• AI workplace tools

CEO Chuck Robbins basically framed it as a strategic reset:
Companies that win in the AI era will constantly move money and talent toward high-growth AI infrastructure businesses.

And honestly, this pattern is starting to repeat everywhere now.

Profitable tech companies are no longer optimizing mainly for headcount growth. They’re optimizing for:

• AI infrastructure
• Compute spending
• Leaner teams
• Faster execution

Cisco even expects to spend over $1 billion on severance packages during this restructuring.

What’s interesting is that analysts say this isn’t just about AI software anymore. Demand from hyperscalers is now pushing money deeper into:

• Networking
• Data centre infrastructure
• Optics
• AI hardware ecosystems

Basically, the AI boom is no longer benefiting only chipmakers like Nvidia. The spending wave is spreading across the entire infrastructure stack.

Still, for employees, the message is becoming brutally clear:
Even strong company performance no longer guarantees job stability in tech.

Question:
Do you think these AI-driven layoffs are temporary restructuring, or is Big Tech permanently moving toward smaller, AI-heavy workforces?

Sony has launched the Sony Xperia 1 VIII in Japan, and honestly, it feels like a phone made for enthusiasts rather than trends.

https://preview.redd.it/ghjajgin6y0h1.png?width=1280&format=png&auto=webp&s=541ac86ef4cb675ae234dddb5214d37f2e4506d6

While most flagship brands are removing features year after year, Sony is still holding onto things power users actually care about:

• microSD card slot
• 3.5mm headphone jack
• front-facing stereo focus
• expandable storage up to 2TB

And yes, that’s becoming rare now.

The hardware itself is top-tier:

• Snapdragon 8 Elite Gen 5
• Up to 16GB RAM
• Up to 1TB storage
• 6.5-inch 120Hz OLED panel
• Triple 48MP rear cameras

Sony’s camera setup also continues doing its own thing instead of chasing oversized AI-heavy image processing. The telephoto lens stretching to 140mm is especially interesting for photography enthusiasts.

Software support has improved too:

• 4 Android OS upgrades
• 6 years security updates

That’s finally closer to what Samsung and Google already offer.

The biggest problem is still the same though:
Pricing.

The top variant costs roughly ₹1.8 lakh, which pushes it deep into ultra-premium territory alongside foldables and luxury flagships.

And realistically, Xperia phones remain niche because Sony builds phones for a very specific audience:
People who still want manual controls, creator-focused hardware, and features other brands abandoned years ago.

Question:
Would you actually prefer a flagship with expandable storage and a headphone jack over thinner designs and AI-heavy software features?