India's AI Billionaires Top Rs.3 Lakh Crore

Key Takeaways

• India's AI sector has created 19 billionaires with combined wealth of Rs.3.07 lakh crore
• Canadian AI ETFs delivered strong returns, with the Global X semiconductor ETF up 77.6%
• Ray Dalio warns the AI boom resembles a classic bubble driven by heavy debt-funded spending
• Equal-weight S&P 500 ETFs offer a way to reduce concentration risk while maintaining AI exposure

India's AI billionaires and investment options for common investors

India's AI sector has created 19 billionaires with combined wealth of Rs.3.07 lakh crore. Sridhar Pinnapureddy of CTRL S Datacentres leads with Rs.46,100 crore, followed by Darshan Hiranandani of Yotta. Former Twitter CEO Parag Agrawal entered the list through Parallel Web Systems. Common investors can buy shares in companies like TCS, Infosys and Persistent Systems, or invest through ETFs and mutual funds. Investors should examine actual business earnings before buying shares.

Canadian AI ETFs deliver strong returns like dot-com era

Canadian AI-focused ETFs have achieved strong market-beating returns recently. The CI Global Artificial Intelligence Fund grew 32.6% in the year ended Aug. 31, while the Global X semiconductor ETF returned 77.6%. Global X offers six AI-themed ETFs covering niches like memory, robotics and infrastructure. The Guardian i3 AI Technology Fund uses AI to identify AI-related stocks through a proprietary large-language model. Experts say investors can combine core AI holdings with pure play ETFs for tactical exposure.

Equal-Weight ETFs offer AI exposure amid bubble concerns

Concerns about an AI bubble are growing as Ray Dalio of Bridgewater Associates warns the AI boom resembles a classic bubble. Technology giants have committed hundreds of billions to AI spending, often funded through debt. Rising bond yields make financing more expensive and concentrated gains in few stocks raise sustainability concerns. Equal-weight S&P 500 ETFs offer investors a way to maintain AI exposure while reducing concentration risk. Diversifying across companies and sectors can help investors benefit from AI growth without excessive risk.

The RealReal expands AI shopping agent with Google Gemini

The RealReal expanded its Ask TRR AI shopping agent built with Google Cloud's Gemini Enterprise. Ask TRR helps customers find luxury items using natural language instead of keyword search across more than 1.5 million unique pieces. The tool provides personalized recommendations based on customer intent and preferences. The RealReal has 45 million members and has sold over 50 million items. The company plans to add AI-driven recommendations on product description pages.

The RealReal launches expanded AI shopping tool with Gemini

The RealReal announced the expansion of Ask TRR, an AI shopping agent built with Google Cloud's Gemini Enterprise for Customer Experience. The tool helps shoppers navigate the luxury resale marketplace through natural language queries. CEO Rati Sahi Levesque said the company uses 15 years of proprietary data to power personalized discovery. Google Cloud's Darshan Kantak said the agent represents the future of retail where AI understands customers. The RealReal is the world's largest online marketplace for authenticated resale luxury goods.

Ex-Anthropic researcher says China has spies in US AI labs

Jacob Coxon, a former Anthropic researcher, claimed China already has spies at OpenAI and Anthropic. He said China can hack at any time to steal US AI progress and catch up. He made the claims in an interview with Patrick Bet-David on the PBD Podcast. Coxon argued that even if the US stops advancing, China would still try to close the gap.

New method finds hidden negative examples for recommendation systems

Researchers developed a way to find implicit negative examples for recommender systems. The method uses symbolic rules scored by support and relevance, then an LLM interprets them. Tests on an industrial B2B setting and five public datasets showed higher precision than baselines. Symbolic selection improved test PR-AUC by 12.5% over random selection.

Framework studies how alignment scales with larger AI models

The paper treats alignment as measurable scaling relations across risk categories. It models alignment burden as a power law based on model size. The largest exponent among corrected risks sets the long-run behavior. A preregistered reanalysis of Pythia data found compute needed to reduce attacks grows as N to the power of 0.60. Tests on Qwen models showed mixed results for truthfulness and sycophancy.

Anthropic adds Chinese language options to Claude chatbot

Anthropic added Chinese language options to its Claude chatbot in supported markets. Users can select simplified and traditional Chinese as their preferred language. China briefly appeared as a billing option before being removed. UnionPay appeared as a payment option in screenshots shared by users, though this could not be independently confirmed.

Anthropic reveals new plan to protect critical infrastructure

Anthropic announced a new plan focused on protecting critical infrastructure. The plan addresses cybersecurity concerns for important systems. Details were shared through an exclusive report by Axios. The article includes an illustration by Aida Amer and stock imagery from Getty Images.

Lumentum leads AI data center connectivity with laser technology

Lumentum is a key player in solving connectivity problems for AI data centers. The company uses high-quality lasers to tackle speed and latency issues. It stands to benefit from Co-Packaged and Near-Package Optics trends. Nvidia's $2 billion strategic investment provides strong support for Lumentum's future growth.

Bricklayer AI wins Agentic AI Security Platform award

Bricklayer AI was named Agentic AI Security Platform of the Year at the 10th Annual CyberSecurity Breakthrough Awards. The platform uses a coordinated team of AI agents across existing security tools. It provides context, coordination, and control for security operations. Every agent action remains visible, auditable, and governed through role-based access controls and audit trails.

Alphabet and Meta double AI spending with different strategies

Alphabet and Meta both doubled their AI capital expenditures last quarter. Alphabet spent $44.92 billion and saw cloud revenue jump 82% to $24.77 billion. Meta spent $30.12 billion and focused on improving its ad business with AI-powered features. Alphabet's market cap reached $4.27 trillion while Meta's stood at $1.84 trillion as of October 8, 2026.

Sources

• Billionaires like former Twitter CEO Parag Agrawal are bullish on artificial intelligence: Check options to invest in AI
• Red-hot AI ETFs harken back to dot-com days
• Equal-Weight ETFs to Play AI Despite Rising Bubble Concerns
• The RealReal Expands Ask TRR AI Shopping Agent With Google Cloud's Gemini Enterprise
• The RealReal Expands Ask TRR AI Shopping Agent With Google Cloud's Gemini Enterprise
• ‘China already has spies’ at US AI labs, claims ex-Anthropic researcher
• Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation
• Toward Alignment Scaling Laws: A Framework and First Preregistered Measurements
• Anthropic’s Claude AI gets Chinese-language options settings
• Exclusive: Anthropic's new plan to protect critical infrastructure
• Lumentum: Conquering Connectivity Is Critical In Artificial Intelligence
• Bricklayer AI Named "Agentic AI Security Platform of the Year" in 10th Annual CyberSecurity Breakthrough Awards Program
• Alphabet and Meta boost AI spending; Alphabet profits from cloud sales, Meta focuses on ads.