Product Management is having its biggest upgrade in 20 years.
6 questions every board should be asking their CPO right now: Are they asking the right questions?
What should you do as PM ? Read more ⬇️
https://t.co/Fz3YVYi53E
Tata x OpenAI isn’t an enterprise software deal.
It’s India’s declaration that it wants to own the full AI stack.
Full story breakdown https://t.co/vVwAhnBwMk
Excited to join Croma as Chief Digital Officer.
https://t.co/YdNNdFuBws
India’s leading electronics retailer.
The opportunity: Build AI-native commerce at Tata scale from conversational shopping to intelligent merchandising to assisted selling tools that actually work in-store.
Retail’s next chapter won’t be written by aggregators. It’ll be written by retailers who can blend physical trust with digital intelligence.
Let’s build. 🚀
Anthropic opening in Bengaluru is significant beyond another tech office announcement.
For India’s AI-native commerce builders:
∙Access to frontier models closer to home
∙Local talent ecosystem validation
∙Signal for enterprise AI acceleration in retail, fintech, banking
We’re past the “AI pilot” phase. Companies building at scale (Tata, Reliance, Flipkart, AdityaBirla) need reliable partners for production workloads.
The real unlock? When Indian CTOs/CPOs can work directly with model providers on domain-specific challenges—retail merchandising, vernacular commerce, assisted selling at store scale.
Bengaluru becoming a hub for both AI consumption AND AI model development changes the game.
Welcome @AnthropicAI 🇮🇳
We’re officially opening our Bengaluru office—our new home base in India, and Anthropic's second office in Asia-Pacific.
India is our second-largest market for https://t.co/RxKnLNNcNR. We’re launching new partnerships to deepen our long-term commitment: https://t.co/q94L1Hesq1
Alibaba spent $400M on a campaign where AI does your entire shopping journey — browse, compare, buy.
120 million orders in 6 days.
They're calling it "agentic commerce."
The search was the sale. The question was the transaction.
This is the post-search paradigm arriving at scale. Not in Silicon Valley. In China.
China's AI strategy right now:
ByteDance: giving away luxury cars through AI apps on national TV
Tencent: distributing $140M in cash through its AI chatbot
Alibaba: running 120M shopping orders through AI agents
This is the 2015 WeChat Payments playbook rerun for AI.
Distribution beats capability. Always has.
GLM-5 is now the #1 open-weight model globally.
744 billion parameters. MIT licensed. Rivals Claude Opus 4.5 on coding benchmarks.
Trained on 100,000 Huawei Ascend chips. Zero NVIDIA.
US chip export restrictions were supposed to slow China down.
Instead, they funded China's independence.
In the last 48 hours, every major Chinese AI company shipped:
ByteDance: Seedance 2.0 (viral AI video)
Kuaishou: Kling 3.0 (15s photorealistic clips)
Zhipu: GLM-5 (#1 open-weight model globally)
MiniMax: M2.5 (80ms, MCP-native agents)
Alibaba: 120M agentic commerce orders
DeepSeek: 1M token context. V4 imminent.
This isn't a model race. It's a market race.
Signal Over Noise
There are 1,500+ AI companies. 200+ foundation models. 50+ AI newsletters. A new “breakthrough” every 48 hours.
Leaders don’t need more content. They need sharper signals.
If you choose to be wiser https://t.co/3GDuxgP1dx
2025 was the year of AI demos.
2026 is the year of AI infrastructure.
Models are commoditizing. Agents need connective tissue.
The companies that win will be the ones that can actually deploy.
Not the ones with the best pitch deck.
Checkout what's happening this week https://t.co/X3IltLy8Ra
Perplexity's Model Council runs 3 frontier models in parallel on every query.
Cross-validates. Flags disagreements. Delivers consensus.
This is the end of "trust one model." The beginning of "trust the system."
MCP is to AI agents what HTTP was to the web.
One protocol. Universal connectivity. Infinite applications.
If you're building an AI strategy and you haven't heard of MCP yet, start here.