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Back in 2014, Silicon Valley was stunned when Zuckerberg bought WhatsApp for $19B and its 450M users.
Oracle founder Larry Ellison said the shock faded once people realized the sheer value of owning that customer base.
Fast-forward to 2025: WhatsApp now has 3.1B MAUs. Looks like Zuckerberg’s “overpay” aged well.
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More than 100 AI startups have hit unicorn status since the launch of ChatGPT, a boom that has minted billionaires and reshaped private markets.
The AI cycle isn’t just about models, it’s fueling a new class of giant companies across infra, defense, and consumer tech.
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PitchBook shows how concentrated US venture has become. During COVID, investors spread capital across the long tail - top-10 deals took only a small share.
Now, with AI leading, nearly half of all VC dollars go to just 10 companies.
The VC pie is getting smaller for everyone outside the top tier of AI.
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Meta will build a 100MW solar farm in South Carolina with Silicon Ranch to power its upcoming $800M AI data center.
Both projects are set to go live in 2027, with most equipment sourced from the U.S.
For hyperscalers like Meta, solar isn’t just green - it’s cheap, fast to deploy, and critical for keeping AI data centers powered.
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Today’s leaders focus on fast ROI - writing code, handling customer support, and automating enterprise workflows.
The market is scaling faster than expected and new players are already rivaling Big Tech in efficiency.
AI agents aren’t just experiments anymore, they’re becoming real businesses at lightning speed.
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OpenAI logged its first-ever $1 billion revenue month in July, driven by GPT-5 subscriptions, yet CFO Sarah Friar says the company’s biggest challenge is a shortage of computing power.
The milestone shows how fast AI demand is scaling, but also how fragile the supply side remains.
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The first half of 2025 has been one of the toughest in a decade for biotech.
At least 14 companies have shut down, with job cuts hitting a four-year high.
Still, some investors see “a new normal.” Private biotech is adapting to multiple scenarios, and the feared fallout has been softer for certain players.
But the fundamentals haven’t changed, a long bear market, tight capital, and intensifying competition for niche therapies.
For biotech, recovery looks more like survival mode than revival.
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PitchBook’s Q2 report shows an upbeat picture- startup valuations are climbing again.
But one chart stands out: the median AI startup isn’t valued that much higher than a non-AI peer at the same stage.
So the hype is real, but it’s not just multiples - it’s the smoother path to raising a round.
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India’s parliament has passed a bill banning all real-money games - whether skill or chance based - in a move that threatens a $23B industry employing over 200,000 people.
Supporters say it protects society from addiction, but critics warn it will kill regulated firms while fueling illegal offshore betting. The bill still needs upper house and presidential approval.
A $23B sector could vanish overnight, or just move underground.
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Capital alone rarely makes the difference. The biggest returns go to investors who help their portfolio companies scale when it matters most.
The lesson: venture isn’t a lottery ticket, it’s active work to turn early bets into enduring giants.
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Mustafa Suleyman, head of Microsoft AI, criticized the growing field of “AI welfare,” which explores the idea of models having consciousness and rights.
He argues such debates distract from real issues - addiction to chatbots, breakdowns, and unhealthy emotional bonds with digital agents.
The divide is clear: while some labs explore AI sentience as a safety frontier, Microsoft is pushing back - insisting the focus should stay on human wellbeing.
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ARR has become the go-to flex metric in tech.
Startups like Lovable brag about hitting $100m ARR in just months, breaking every old SaaS benchmark. But behind the headlines, the cracks are showing - and investors are starting to worry.
Many “$100m ARR” claims are just one hot week of revenue multiplied by 52. That doesn’t mean it’s sustainable.
Users jump in fast, but drop out just as quickly. One AI app went from $30m MRR to almost zero in a month.
AI startups often pay other AI companies for compute and models, leaving little room for profit. Switching to more advanced “agentic” models only increases costs.
Huge customer acquisition, fast growth, but no clear path to profitability.
The real question: can these AI darlings turn explosive ARR into durable, high-margin businesses? Growth is easy. Retention and profitability are the real test.
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In venture, the sharpest insights often come from real conversations.
These shows will keep you close to the deals, strategies, and thinking that shape the market.
The best way to sharpen your venture instincts is to listen where the insiders talk.
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$80M raised across 16 projects this week, alongside new Bitcoin treasury moves and a wave of M&A activity. DigiFT and Irys led the funding charts, while Kraken, Valantis, and Kerberus went shopping.
Here’s what the top 8 are building
Singapore-based RWA exchange enabling regulated tokenized assets.
Programmable datachain for decentralized storage and retrieval.
P2P marketplace on Sui for trading in-game assets.
Fundraising platform giving retail early access to ICOs and pre-token sales.
London-based digital asset trading firm with a focus on new liquidity products.
Onchain trading terminal built on Base for advanced execution.
Contextualized, machine-ready data for Internet Capital Markets.
Stablecoin and crypto payments processor simplifying merchant adoption.
Investor attention this week was on RWA exchanges, next-gen trading infra, and new payment rails.
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Intel announced an $8.9B “investment” from the Trump administration - framed as the U.S. taking a 10% stake. But the funds aren’t fresh capital: they come from Biden-era CHIPS Act and Secure Enclave grants that were awarded but never paid out.
It’s a political win on paper, but whether this reshapes Intel’s future or survives legal challenges - is still an open question.
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Denver-based Crusoe Energy Systems is in talks to raise over $1B at a ~$10B valuation, up from $2.8B last year.
Backed by Founders Fund, Nvidia, and Fidelity, the startup converts stranded fuel into computing power for sustainable data centers.
Crusoe’s push shows how scaling AI compute and cutting emissions can align, but this round will test if green data infra can draw capital as fast as it burns energy.
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OpenAI and Retro Biosciences unveiled GPT-4b micro, a model trained on protein sequences and interaction data.
Its first breakthrough: redesigning Yamanaka factors - the Nobel-winning proteins that reprogram adult cells into stem cells.
Researchers say this is only the beginning - such AI tools could radically accelerate regenerative medicine.
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OpenAI has issued a warning against buying its shares through resellers, SPVs, tokenized equity, or forward contracts.
The company says any transfer of its stock requires written approval, and unauthorized deals can be voided or lead to legal action.
Small investors are eager to ride the AI wave through any channel available. For now, giants like OpenAI and Anthropic only warn. The real test will come with the first canceled deal.
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Tesla will add a new voice assistant to its Chinese cars, powered by ByteDance’s Deepseek and Doubao models. Drivers will control navigation, media, and climate by voice, and even get news updates.
A reminder that in China, even Tesla has to localize its tech stack to stay in the race.
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McKinsey’s latest survey says 10–20% of large corporations boosted revenue by 10%+ thanks to generative AI. Half to two-thirds reported at least some gain.
Numbers sound spectacular, but the reality check is simple: surveys measure optimism more than accounting.
When managers round up answers to avoid looking clueless, research drifts far from reality.
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Bill Gates has unveiled a $1M competition calling on researchers, engineers, and startups to use AI against Alzheimer’s disease.
The initiative is run through the Alzheimer’s Disease Data Initiative, with finalists set to compete in Copenhagen in March 2026.
AI has the power to shift research from reactive to predictive, a chance to change the trajectory of one of medicine’s hardest challenges.
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