Today's Newsletter Highlights:

• Bye-bye corporate conglomerates. Hello personal conglomerates.

• AI’s Fundraising Frenzy Continues

• How Businesses Are Manipulating ChatGPT Results

• Best AI Tools

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Bye-bye corporate conglomerates. Hello personal conglomerates.

SpaceX’s Starlink has updated its Global Privacy Policy, starting January 15, 2026. Starlink can use customer data to train its machine learning and AI models, unless users choose to opt out. It also allows data sharing with service providers and unnamed partners.

Key points :

• What Data Starlink May Use

• Starlink says it collects various user information, such as:

• Location

• Contact and payment details

• User IP addresses

• Communication

• TechCrunch argues that we might be entering a new era where individuals — not corporations — act like conglomerates. It focuses on Elon Musk as the prime example.

• What the Article Highlights

• Musk’s Sprawling Empire

• Elon Musk leads or owns several major companies. These include Tesla, SpaceX, xAI (with Starlink), Neuralink, and The Boring Company. These span energy, aerospace, automotive, AI, telecoms, neural tech, and infrastructure.

• Rumoured Merger Moves

• Reports say Musk might combine SpaceX, Tesla, and xAI into one structure, like a traditional conglomerate.

• Historical Parallels

• The article compares Musk’s reach to past corporate giants:

• General Electric under Jack Welch — a classic corporate conglomerate.

• Robber barons like John D. Rockefeller — individuals with huge personal influence.

• TechCrunch notes that Musk’s wealth and influence now match the power big companies once held. However, it does not specify which data will be used for AI training.

• Why This Matters

• AI Ambitions & Business Strategy:

• This change fits with SpaceX’s bigger plans. These include a major IPO and talks of merging with Musk’s AI firm, xAI. This merger could use Starlink’s huge data to train AI models, like Grok. This will strengthen Musk’s position in the AI market.

• Privacy Concerns:

• Privacy advocates and consumer rights experts worry about this shift. Using personal data widely without clear rules can raise surveillance risks and lead to misuse. A technology law professor noted that the lack of clear limits is concerning for users.

Read more

AI’s Fundraising Frenzy Continues

The WSJ reports that investment in artificial intelligence (AI) companies remains strong. Large fundraising rounds keep the sector in focus.

📊 Key Points:

• Ongoing Capital Flows into AI Startups

• The WSJ notes that financing for AI ventures hasn’t slowed. Key players continue to raise large amounts of money. This shows that investors are still excited about AI innovation.

• Mega-Rounds and High Valuations

• Several AI companies have secured multi-billion-dollar financings, leading to high private valuations. These rounds are from early-stage startups and late-stage firms that focus on infrastructure. This includes areas like compute and model development. The WSJ sees this trend as part of the ongoing AI funding boom.

• Impact on Markets and Tech Strategy

• Fundraising is about more than just capital. AI is changing venture capital and shifting what deep tech investors care about. Many see AI as a core platform technology for the next decade.

• Also Covered (Indirectly Connected Topics)

• Today's main story is about funding. The WSJ portfolio also highlights other industry dynamics, such as:

• Questions arise about the sustainability of the AI boom. There are worries about market corrections, profitability, and the hype surrounding it.

• China's big investment in AI and advanced chips has boosted tech rallies overseas.

Read More

How Businesses Are Manipulating ChatGPT Results

They are focusing on Generative Engine Optimization (GEO). This change comes from the growth of AI-powered search and answer systems. They are different from regular link-based results.

Key Points :

• Definitions: GEO and AEO (in AI Search)

• GEO — Generative Engine Optimization

• GEO aims to make content visible and useful in AI-generated answers. This includes feedback from key language models such as ChatGPT, Google AI, Bing/Chat Copilot, and Perplexity. The goal is to organize content so AI can easily find, understand, and cite it correctly when providing a complete answer.

• In practice, this means:

• Creating comprehensive, authoritative content (like long guides and fact-rich pages)

• Making information clear and machine-readable

• Ensuring facts are consistent and well-sourced so models incorporate them into responses

• GEO is more than traditional SEO. AI doesn’t just rank pages; it creates narrative answers.

• Think of GEO as optimizing for visibility within the AI “answer engine,” not just for top spots on a results page.

Read More

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