#google
992,240 views
1,840 Discussing
Hot
Latest
1. Background
According to the latest news from The Wall Street Journal, Google is actively trying to expand its share in the AI chip market, and this move deserves close attention. Currently, generative AI is heating up, and computing power has become the core infrastructure of competition in the tech industry. Whoever can master high-performance, low-cost, and scalable chips stands a better chance of taking the lead in model training, cloud services, and enterprise-level AI applications. 🤖
Google's increased investment at this time indicates that the AI competition is deepening from the model and product level to the more fundamental chip and computing power systems. Compared to simply purchasing external GPUs, self-developed or deeply customized chips can help large tech companies lower long-term costs and optimize the synergy of their own cloud platforms and AI services.
2. Core Analysis
From a strategic perspective, Google's bid for the AI chip market is not just about selling chips; it's also about solidifying its AI ecosystem. There is a clear linkage effect between chips, cloud computing, large models, search, advertising, and enterprise services. If Google can enhance its chip capabilities, it is likely to boost the competitiveness of Google Cloud and increase the profit margins of its AI products.
From an industry landscape perspective, AI chips remain a high-barrier market where technology, manufacturing, and software ecosystems are all essential. The market is currently focused not just on who can produce stronger chips but also on who can establish a complete ecosystem, including development tools, compatibility, energy efficiency performance, and large-scale delivery capabilities. Google’s advantage lies in its vast AI application scenarios and data center infrastructure, which can directly validate chip performance and enable rapid iteration.
However, challenges are also evident. On one hand, chip R&D investment is high and timelines are long, and short-term gains may not directly translate into market share; on the other hand, competition in the supply chain is intensifying, with leading companies vying for control over computing power entry points. If Google wants to truly expand its influence, the key will be whether it can convert its technological advantages into stable commercial outcomes.
3. Potential Impact
For the tech industry, Google’s push into AI chips may further escalate competition, prompting more companies to emphasize “soft-hard integration” capabilities. In the future, market focus may shift from single model performance to overall computing power costs, deployment efficiency, and service stability.
For the cloud computing and AI service market, this means customers will have more infrastructure choices, and prices and service models may experience new changes. If Google makes progress in chip technology, the attractiveness of its cloud business and AI solutions may increase simultaneously.
For crypto and Web3 observers, although AI chips and digital assets are not in the same lane, both heavily rely on computing power narratives. The market often views the expansion of AI infrastructure as a signal for continued growth in tech capital expenditures, and related sentiment may spill over into computing power, data, DePIN, and other conceptual sectors. 📈
4. Summary
Overall, Google’s pursuit of AI chip market share reflects that the current AI competition has entered the deep waters of infrastructure. In the short term, this represents a battle among leading tech companies for future computing power dominance; in the medium term, whoever can balance performance, cost, and ecosystem is more likely to continue benefiting from the wave of AI commercialization. For market participants, future attention should focus on Google’s latest developments in chip implementation, cloud business synergy, and AI monetization.
#AI #芯片 #Google
According to the latest news from The Wall Street Journal, Google is actively trying to expand its share in the AI chip market, and this move deserves close attention. Currently, generative AI is heating up, and computing power has become the core infrastructure of competition in the tech industry. Whoever can master high-performance, low-cost, and scalable chips stands a better chance of taking the lead in model training, cloud services, and enterprise-level AI applications. 🤖
Google's increased investment at this time indicates that the AI competition is deepening from the model and product level to the more fundamental chip and computing power systems. Compared to simply purchasing external GPUs, self-developed or deeply customized chips can help large tech companies lower long-term costs and optimize the synergy of their own cloud platforms and AI services.
2. Core Analysis
From a strategic perspective, Google's bid for the AI chip market is not just about selling chips; it's also about solidifying its AI ecosystem. There is a clear linkage effect between chips, cloud computing, large models, search, advertising, and enterprise services. If Google can enhance its chip capabilities, it is likely to boost the competitiveness of Google Cloud and increase the profit margins of its AI products.
From an industry landscape perspective, AI chips remain a high-barrier market where technology, manufacturing, and software ecosystems are all essential. The market is currently focused not just on who can produce stronger chips but also on who can establish a complete ecosystem, including development tools, compatibility, energy efficiency performance, and large-scale delivery capabilities. Google’s advantage lies in its vast AI application scenarios and data center infrastructure, which can directly validate chip performance and enable rapid iteration.
However, challenges are also evident. On one hand, chip R&D investment is high and timelines are long, and short-term gains may not directly translate into market share; on the other hand, competition in the supply chain is intensifying, with leading companies vying for control over computing power entry points. If Google wants to truly expand its influence, the key will be whether it can convert its technological advantages into stable commercial outcomes.
3. Potential Impact
For the tech industry, Google’s push into AI chips may further escalate competition, prompting more companies to emphasize “soft-hard integration” capabilities. In the future, market focus may shift from single model performance to overall computing power costs, deployment efficiency, and service stability.
For the cloud computing and AI service market, this means customers will have more infrastructure choices, and prices and service models may experience new changes. If Google makes progress in chip technology, the attractiveness of its cloud business and AI solutions may increase simultaneously.
For crypto and Web3 observers, although AI chips and digital assets are not in the same lane, both heavily rely on computing power narratives. The market often views the expansion of AI infrastructure as a signal for continued growth in tech capital expenditures, and related sentiment may spill over into computing power, data, DePIN, and other conceptual sectors. 📈
4. Summary
Overall, Google’s pursuit of AI chip market share reflects that the current AI competition has entered the deep waters of infrastructure. In the short term, this represents a battle among leading tech companies for future computing power dominance; in the medium term, whoever can balance performance, cost, and ecosystem is more likely to continue benefiting from the wave of AI commercialization. For market participants, future attention should focus on Google’s latest developments in chip implementation, cloud business synergy, and AI monetization.
#AI #芯片 #Google
Elon Musk's fortune has shot up to $SPCX with a staggering increase of $165 billion today, surpassing the combined wealth of Google creators Larry Page and Sergey Brin.
With this new surge, Elon’s net worth hits $1.3 trillion. While the tech giant $GOOGL continues to dominate the web, Musk’s ecosystem just keeps smashing records.
Do you think SpaceX and its global infrastructure will outpace the empire built by Google, or are we just seeing a temporary bubble?
👇 I’m all ears in the comments!
#ElonMusk #Google #SpaceX
With this new surge, Elon’s net worth hits $1.3 trillion. While the tech giant $GOOGL continues to dominate the web, Musk’s ecosystem just keeps smashing records.
Do you think SpaceX and its global infrastructure will outpace the empire built by Google, or are we just seeing a temporary bubble?
👇 I’m all ears in the comments!
#ElonMusk #Google #SpaceX
Google is rewriting the future of search. 🚀
With AI-powered answers, conversational search, and advanced reasoning tools becoming part of its core experience, finding information is shifting from keyword hunting to natural conversations. While users may get faster, smarter results, the move could reshape how creators, publishers, and websites attract traffic. The AI search era is no longer coming—it’s here, and it’s changing the rules of the internet. #Google
$GOOGL
$GOOGLon
With AI-powered answers, conversational search, and advanced reasoning tools becoming part of its core experience, finding information is shifting from keyword hunting to natural conversations. While users may get faster, smarter results, the move could reshape how creators, publishers, and websites attract traffic. The AI search era is no longer coming—it’s here, and it’s changing the rules of the internet. #Google
$GOOGL
$GOOGLon
🚀 One of the most remarkable investment stories in modern tech:
Back in 2015, Google invested around $900 million into SpaceX.
Fast forward to today, that stake is estimated to be worth more than $140 billion — a gain of over 150x.
What started as a bold strategic investment has turned into one of the greatest wealth-creation stories in recent history.
While investors often celebrate venture capital winners, very few bets have delivered returns on this scale. Sometimes the biggest gains come from spotting a world-changing company early and holding with conviction.
📈 $900M → $140B+
A powerful reminder that patience, vision, and long-term thinking can create extraordinary results. 🚀
$GOOGLon $GOOGL
#SpaceX #Google #Investing #Technology #Innovation #Markets #Business #Finance #Growth #CryptoCommunity
Back in 2015, Google invested around $900 million into SpaceX.
Fast forward to today, that stake is estimated to be worth more than $140 billion — a gain of over 150x.
What started as a bold strategic investment has turned into one of the greatest wealth-creation stories in recent history.
While investors often celebrate venture capital winners, very few bets have delivered returns on this scale. Sometimes the biggest gains come from spotting a world-changing company early and holding with conviction.
📈 $900M → $140B+
A powerful reminder that patience, vision, and long-term thinking can create extraordinary results. 🚀
$GOOGLon $GOOGL
#SpaceX #Google #Investing #Technology #Innovation #Markets #Business #Finance #Growth #CryptoCommunity
Retired Phones Build Low-Carbon Cloud: Google Plans to Use 2000 Old Pixels to Set Up 50 Servers' Power
Google researchers, along with a team from UC San Diego, are diving into mobile cluster computing, planning to repurpose 2000 retired Pixel smartphones' motherboards into a low-carbon cloud data center. The research team stripped down the old phones, removing screens, batteries, and cases, keeping only the motherboards, and swapped out the Android OS for a generic Linux distro. The CPU core performance is already on par with modern servers.
Why It Matters: The world generates millions of tons of electronic waste every year, and this "turning trash into treasure" approach offers a fresh perspective on reducing the environmental costs of AI computing power.
#Google #AI #云计算 #绿色算力 #sustainable-development
Google researchers, along with a team from UC San Diego, are diving into mobile cluster computing, planning to repurpose 2000 retired Pixel smartphones' motherboards into a low-carbon cloud data center. The research team stripped down the old phones, removing screens, batteries, and cases, keeping only the motherboards, and swapped out the Android OS for a generic Linux distro. The CPU core performance is already on par with modern servers.
Why It Matters: The world generates millions of tons of electronic waste every year, and this "turning trash into treasure" approach offers a fresh perspective on reducing the environmental costs of AI computing power.
#Google #AI #云计算 #绿色算力 #sustainable-development
$GOOGL Reaching a Critical Support? 📉🛍️
Alphabet Inc ($GOOGL ) has seen a notable decline over the past few sessions, closing down 2.16% at $356.40.
The 1-hour chart shows that the SSL Channel (10, 10) indicator is maintaining a bearish posture, but selling pressure is starting to find a local baseline. The pre-market indicator is tracking slightly higher around $358.77.
For a tech giant like Google, entering this value territory offers an excellent dollar-cost averaging (DCA) opportunity for spot long-term bags. Strictly Spot Trading—no leverage, no liquidation risks!
📊 Spot Trade Setup:Entry Zone: $352.00 - $357.00 (Accumulate in parts)
Take Profit 1 (TP1): $363.00 (Immediate key resistance)
Take Profit 2 (TP2): $370.00 (Major trend reversal target)
Stop Loss (SL): $347.00 (Close position if it breaks below historical psychological support)
👇 Do you think $GOOGL will bounce back from $356, or will it slide further toward $350? Drop your predictions below! Like, Share, and Follow for more setups!
Disclaimer: Not financial advice. Always do your own research (DYOR) before investing.
#MyStockQuestion
#GoogleDocsMagic #Google #StockTrading #SpotTrading #TechnicalAnalysis #BinanceSquare #BuyTheDip
Alphabet Inc ($GOOGL ) has seen a notable decline over the past few sessions, closing down 2.16% at $356.40.
The 1-hour chart shows that the SSL Channel (10, 10) indicator is maintaining a bearish posture, but selling pressure is starting to find a local baseline. The pre-market indicator is tracking slightly higher around $358.77.
For a tech giant like Google, entering this value territory offers an excellent dollar-cost averaging (DCA) opportunity for spot long-term bags. Strictly Spot Trading—no leverage, no liquidation risks!
📊 Spot Trade Setup:Entry Zone: $352.00 - $357.00 (Accumulate in parts)
Take Profit 1 (TP1): $363.00 (Immediate key resistance)
Take Profit 2 (TP2): $370.00 (Major trend reversal target)
Stop Loss (SL): $347.00 (Close position if it breaks below historical psychological support)
👇 Do you think $GOOGL will bounce back from $356, or will it slide further toward $350? Drop your predictions below! Like, Share, and Follow for more setups!
Disclaimer: Not financial advice. Always do your own research (DYOR) before investing.
#MyStockQuestion
#GoogleDocsMagic #Google #StockTrading #SpotTrading #TechnicalAnalysis #BinanceSquare #BuyTheDip
Google's open-source text diffusion model DiffusionGemma: Local inference speed boosted 4x
Google has released an experimental open-source large model, DiffusionGemma, which utilizes a cutting-edge diffusion-based text generation mechanism, breaking the limitations of traditional LLMs that generate words sequentially. This model boasts 26B total parameters and, under the MoE architecture, activates only 3.8B parameters for each forward pass, enabling parallel generation of entire text blocks and achieving up to 4 times speedup in local GPU inference.
Why it matters: This is the first time a diffusion model has been successfully applied to large language models in the text generation field, transforming the "typewriter-style" word-by-word generation paradigm, and is expected to significantly lower AI inference costs and local deployment barriers.
#Google #AI #人工智能 #open-source
Google has released an experimental open-source large model, DiffusionGemma, which utilizes a cutting-edge diffusion-based text generation mechanism, breaking the limitations of traditional LLMs that generate words sequentially. This model boasts 26B total parameters and, under the MoE architecture, activates only 3.8B parameters for each forward pass, enabling parallel generation of entire text blocks and achieving up to 4 times speedup in local GPU inference.
Why it matters: This is the first time a diffusion model has been successfully applied to large language models in the text generation field, transforming the "typewriter-style" word-by-word generation paradigm, and is expected to significantly lower AI inference costs and local deployment barriers.
#Google #AI #人工智能 #open-source
🚨 THE RETAIL TRAP IS COMPLETE!
$GOOGL just executed a textbook liquidity sweep before exploding with massive institutional volume!
Slicing right through internal resistance, a violent vertical god-candle has blasted the price up to $370.90 (+1.83%) on the 4H chart.
With over $24M+ in 24h volume backing this pump, this is a clear Market Structure Shift proving smart money is fully in control.
All eyes are now locked on the $373.37 resistance—a clean break here opens the floodgates for a massive continuation rally.
Are you chasing this breakout long, or waiting for a retest of the lower order block? Drop your play below! 👇
#GOOGLUSDT #BinanceSquare #Google
$GOOGL just executed a textbook liquidity sweep before exploding with massive institutional volume!
Slicing right through internal resistance, a violent vertical god-candle has blasted the price up to $370.90 (+1.83%) on the 4H chart.
With over $24M+ in 24h volume backing this pump, this is a clear Market Structure Shift proving smart money is fully in control.
All eyes are now locked on the $373.37 resistance—a clean break here opens the floodgates for a massive continuation rally.
Are you chasing this breakout long, or waiting for a retest of the lower order block? Drop your play below! 👇
#GOOGLUSDT #BinanceSquare #Google
Have you ever wondered how tech giants can change the world with one behind-the-scenes decision? 🌐
It looks like the semiconductor manufacturing map is about to redraw its boundaries. Recent reports indicate that Google and Nvidia are seriously considering relying on Intel as a backup manufacturing partner for producing their advanced chips.
Here's what this shift means for the industry:
• Risk Diversification: The move towards "multi-factory" isn't just a technical choice; it's a savvy strategy to ensure supply chain continuity in a world that keeps growing. 📈
• The Future of Intel Foundry: The entry of giants like Google and Nvidia into the potential client list of Intel could be the launching pad that Intel's manufacturing sector needs to regain its competitive edge.
• Boosting Innovation: This convergence could open the door to deeper tech integration, where companies are not just designing but ensuring greater compatibility between architecture and precise manufacturing processes.
It may seem like just a "manufacturing contract," but it's really more like a "strategic alliance" among power and computing giants to tackle future challenges. Do you think this alliance will shift the balance of power in the semiconductor market in favor of the United States?
Share your predictions in the comments, do you see this step as the beginning of a new era of cross-company partnerships? 👇
$GOOGL
$NVDA
#تكنولوجيا #Nvidia #Google
It looks like the semiconductor manufacturing map is about to redraw its boundaries. Recent reports indicate that Google and Nvidia are seriously considering relying on Intel as a backup manufacturing partner for producing their advanced chips.
Here's what this shift means for the industry:
• Risk Diversification: The move towards "multi-factory" isn't just a technical choice; it's a savvy strategy to ensure supply chain continuity in a world that keeps growing. 📈
• The Future of Intel Foundry: The entry of giants like Google and Nvidia into the potential client list of Intel could be the launching pad that Intel's manufacturing sector needs to regain its competitive edge.
• Boosting Innovation: This convergence could open the door to deeper tech integration, where companies are not just designing but ensuring greater compatibility between architecture and precise manufacturing processes.
It may seem like just a "manufacturing contract," but it's really more like a "strategic alliance" among power and computing giants to tackle future challenges. Do you think this alliance will shift the balance of power in the semiconductor market in favor of the United States?
Share your predictions in the comments, do you see this step as the beginning of a new era of cross-company partnerships? 👇
$GOOGL
$NVDA
#تكنولوجيا #Nvidia #Google
STOCKS | Google Cloud Growth Fuels Bullish Outlook for Alphabet
Confidence in Alphabet continues to build as strong enterprise adoption of Google Cloud strengthens the company’s long-term growth narrative. Wells Fargo Securities analyst Ken Gawrelski believes the tech giant has significant upside potential, setting a $435 price target that implies roughly 18% appreciation from current levels.
A key driver behind the optimistic forecast is surging demand for cloud services from businesses, alongside Alphabet’s massive $462 billion backlog, which highlights substantial future revenue visibility. As AI adoption accelerates and cloud spending remains resilient, investors are increasingly viewing Alphabet as one of the strongest beneficiaries of the next phase of digital infrastructure growth. 📈☁️ #Google
$GOOGL
$GOOGLon
$ADA
Confidence in Alphabet continues to build as strong enterprise adoption of Google Cloud strengthens the company’s long-term growth narrative. Wells Fargo Securities analyst Ken Gawrelski believes the tech giant has significant upside potential, setting a $435 price target that implies roughly 18% appreciation from current levels.
A key driver behind the optimistic forecast is surging demand for cloud services from businesses, alongside Alphabet’s massive $462 billion backlog, which highlights substantial future revenue visibility. As AI adoption accelerates and cloud spending remains resilient, investors are increasingly viewing Alphabet as one of the strongest beneficiaries of the next phase of digital infrastructure growth. 📈☁️ #Google
$GOOGL
$GOOGLon
$ADA
Partly True
⚙️ It’s Official: Google Chooses $ALGO Rails for AI Payments!
This is no longer a rumor or a technical theory. On June 5, 2026, the #AlgorandFoundation officially confirmed a massive partnership with Google.
#Google has rolled out its new Agentic Payments Protocol (AP2) to let autonomous AI agents pay for services, data, and tools on their own. And #Algorand
is now an official infrastructure partner, fully integrating across the x402 code stack.
📐 Three simple facts why this is a massive floor for $ALGO :
1. Chosen by the King of Tech When Google needs a digital highway for AI bots to send micro-payments, they don't look at dangerous meme-casinos or slow networks. They picked Algorand because of its zero-fork security and instant 3.3-second transaction finality.
2. Millions of AI bots = Non-stop volume AI agents don't sleep, don't panic, and don't look at price charts. They execute millions of automatic transactions to pay each other for computing power. This builds huge, organic network utility that doesn't depend on retail trading volume.
3. Moving profit to bedrock While the crowd chases speculative foam, real institutional money is anchoring into networks that power global trade and Big Tech infrastructure.
⚙️ Simple Verdict: When Google officially builds its AI payment economy on top of a network, you know exactly which digital field is getting the best fertilizer for the next generation.
Disclaimer: Not financial advice. Technical partnership and infrastructure analysis only.
This is no longer a rumor or a technical theory. On June 5, 2026, the #AlgorandFoundation officially confirmed a massive partnership with Google.
#Google has rolled out its new Agentic Payments Protocol (AP2) to let autonomous AI agents pay for services, data, and tools on their own. And #Algorand
is now an official infrastructure partner, fully integrating across the x402 code stack.
📐 Three simple facts why this is a massive floor for $ALGO :
1. Chosen by the King of Tech When Google needs a digital highway for AI bots to send micro-payments, they don't look at dangerous meme-casinos or slow networks. They picked Algorand because of its zero-fork security and instant 3.3-second transaction finality.
2. Millions of AI bots = Non-stop volume AI agents don't sleep, don't panic, and don't look at price charts. They execute millions of automatic transactions to pay each other for computing power. This builds huge, organic network utility that doesn't depend on retail trading volume.
3. Moving profit to bedrock While the crowd chases speculative foam, real institutional money is anchoring into networks that power global trade and Big Tech infrastructure.
⚙️ Simple Verdict: When Google officially builds its AI payment economy on top of a network, you know exactly which digital field is getting the best fertilizer for the next generation.
Disclaimer: Not financial advice. Technical partnership and infrastructure analysis only.
Google drops the ultra-lightweight Gemma 4 model: local mobile RAM finally dips below 1GB
Google has released a quantized compressed version of the Gemma 4 model. This quantization tech reduces model size by lowering numerical precision, which traditionally results in a drop in performance. This optimization makes it possible for high-end smartphones to run large models locally, marking a significant step towards practical edge AI.
Why it matters: The breakthrough in model compression means AI inference will shift from the cloud to endpoint devices, significantly reducing reliance on networks and data centers, and driving a boom in AI applications on mobile devices.
#Google #Gemma4 #AI #edgeAI
Google has released a quantized compressed version of the Gemma 4 model. This quantization tech reduces model size by lowering numerical precision, which traditionally results in a drop in performance. This optimization makes it possible for high-end smartphones to run large models locally, marking a significant step towards practical edge AI.
Why it matters: The breakthrough in model compression means AI inference will shift from the cloud to endpoint devices, significantly reducing reliance on networks and data centers, and driving a boom in AI applications on mobile devices.
#Google #Gemma4 #AI #edgeAI
Google's Antigravity 2.0 Responds to Split Controversy: AI Development Tools are Undergoing the Fourth Paradigm Shift
In response to the community's concerns about the mandatory split of IDE and Agent Manager in Antigravity 2.0, Google’s product engineering lead Kevin Hou published a lengthy statement. He admitted that the transition details were "messed up", while revealing that AI development tools are experiencing the fourth paradigm shift: "code completion → intelligent dialogue → single agent → multi-agent collaboration".
Key Insights: Data shows a significant number of non-technical users are utilizing the Agent Manager for tasks like document writing, prototype design, meeting summaries, and expense reimbursement, performing what can be termed as "general knowledge work". In the multi-agent era, "code is becoming a detail of implementation"; future AI development tools are set to evolve into a "work as a product" model.
Why It Matters: This is an official roadmap disclosure from a frontline product lead at Google—indicating that the next battleground for AI development tools isn't coding, but rather replacing all knowledge work.
#Google #AI #Antigravity #智能体 #开发工具
In response to the community's concerns about the mandatory split of IDE and Agent Manager in Antigravity 2.0, Google’s product engineering lead Kevin Hou published a lengthy statement. He admitted that the transition details were "messed up", while revealing that AI development tools are experiencing the fourth paradigm shift: "code completion → intelligent dialogue → single agent → multi-agent collaboration".
Key Insights: Data shows a significant number of non-technical users are utilizing the Agent Manager for tasks like document writing, prototype design, meeting summaries, and expense reimbursement, performing what can be termed as "general knowledge work". In the multi-agent era, "code is becoming a detail of implementation"; future AI development tools are set to evolve into a "work as a product" model.
Why It Matters: This is an official roadmap disclosure from a frontline product lead at Google—indicating that the next battleground for AI development tools isn't coding, but rather replacing all knowledge work.
#Google #AI #Antigravity #智能体 #开发工具
GOOGLE PARENT ALPHABET DROPS $80 BILLION AI BOMBSHELL
Confirmed June 1, 2026 – one of largest equity deals in history.
The package:
· $40B ATM offering (starts Q3)
· $30B underwritten public offerings
· $10B private placement from Berkshire Hathaway
Why it matters:
· Alphabet shifts from debt to EQUITY for AI spending
· 2027 capex could hit $300B (Bloomberg Intelligence)
· Berkshire's new CEO Greg Abel makes his first mega-deal statement
The AI funding race is accelerating:
· SpaceX (target $1.75T) – filed April 1
· Anthropic ($965B) – filed June 1
· OpenAI ($852B) – waiting in the wings
Alphabet just raised the bar. Who's next? 🔥
#Alphabet #Google #OpenAI #Anthropic #SpaceX
Confirmed June 1, 2026 – one of largest equity deals in history.
The package:
· $40B ATM offering (starts Q3)
· $30B underwritten public offerings
· $10B private placement from Berkshire Hathaway
Why it matters:
· Alphabet shifts from debt to EQUITY for AI spending
· 2027 capex could hit $300B (Bloomberg Intelligence)
· Berkshire's new CEO Greg Abel makes his first mega-deal statement
The AI funding race is accelerating:
· SpaceX (target $1.75T) – filed April 1
· Anthropic ($965B) – filed June 1
· OpenAI ($852B) – waiting in the wings
Alphabet just raised the bar. Who's next? 🔥
#Alphabet #Google #OpenAI #Anthropic #SpaceX
⚡ GOOGLE'S INVESTMENTS ARE A STRATEGY LESSON ⚡
Google's investments in advanced tech sectors showcase how a long-term vision can yield extraordinary returns.
Two standout examples are SpaceX and Anthropic, companies set to become some of the most relevant IPOs in history.
Back in 2015, Google dropped $900 million into SpaceX.
Today, that stake is worth about $126 billion, marking an insane return of roughly 140 times the initial capital. This result reflects not just the growth of the space sector but also the ability to spot tech leaders ahead of the boom.
Even more recent is the investment in Anthropic, a key player in the AI space.
Google allocated around $13 billion, which is now valued at about $135 billion, with a return exceeding 10x.
By combining both stakes, Google holds assets worth a total of roughly $261 billion, with an average yield of 18.8x, even before the public listing.
The key takeaway?
It’s not just about capital, but strategic vision: betting on emerging tech like space and AI before they go mainstream.
An approach that highlights how real gains are built well before the hype.
#BREAKING #Google #SpaceX #Anthropic $GOOGL
Google's investments in advanced tech sectors showcase how a long-term vision can yield extraordinary returns.
Two standout examples are SpaceX and Anthropic, companies set to become some of the most relevant IPOs in history.
Back in 2015, Google dropped $900 million into SpaceX.
Today, that stake is worth about $126 billion, marking an insane return of roughly 140 times the initial capital. This result reflects not just the growth of the space sector but also the ability to spot tech leaders ahead of the boom.
Even more recent is the investment in Anthropic, a key player in the AI space.
Google allocated around $13 billion, which is now valued at about $135 billion, with a return exceeding 10x.
By combining both stakes, Google holds assets worth a total of roughly $261 billion, with an average yield of 18.8x, even before the public listing.
The key takeaway?
It’s not just about capital, but strategic vision: betting on emerging tech like space and AI before they go mainstream.
An approach that highlights how real gains are built well before the hype.
#BREAKING #Google #SpaceX #Anthropic $GOOGL
Google just went all-in on this AI arms race with an $80 billion ammo stash, ngl
$30 billion in public fundraising + $40 billion ATM plan + $10 billion Buffett private equity
This lineup is like the Avengers of the AI world, lowkey thinking traditional tech companies should be sweating
The craziest part is Berkshire is diving in with a cool $10 billion
Old man: All in AI, no cap
#AI #Google #Buffett
$30 billion in public fundraising + $40 billion ATM plan + $10 billion Buffett private equity
This lineup is like the Avengers of the AI world, lowkey thinking traditional tech companies should be sweating
The craziest part is Berkshire is diving in with a cool $10 billion
Old man: All in AI, no cap
#AI #Google #Buffett
Keep an eye on stocks $GOOGL and $NVDA
Because NVIDIA is teaming up with Google to redefine computer specs with the RTX SPARK chip.
In the future, users won't need a keyboard or mouse, as the AI Agent on the device will understand and execute the owner's commands.
That's what the new RTX SPARK product brings to the table!
#nvidia #Google
Because NVIDIA is teaming up with Google to redefine computer specs with the RTX SPARK chip.
In the future, users won't need a keyboard or mouse, as the AI Agent on the device will understand and execute the owner's commands.
That's what the new RTX SPARK product brings to the table!
#nvidia #Google
🚨 Google-backed mosquito control technology is back in focus.
The company has requested EPA approval to release up to 32 million Wolbachia-treated male mosquitoes across parts of Florida and California.
How it works:
🦟 Male mosquitoes carrying Wolbachia bacteria are released
🦟 They mate with wild females
🦟 The eggs fail to hatch
🦟 Local mosquito populations decline over time
Previous field programs using Wolbachia technology have reported significant reductions in mosquito populations and dengue transmission.
Public comments remain open until June 5 as regulators review the proposal.
The intersection of AI, biotech, and public health is getting increasingly interesting. 👀
$LAB $CLO $H
#Google #MosquitoMarket #CustodiaBankFedAppealExtension #AxeComputeAethirDeal #IranHormuzStraitControl
The company has requested EPA approval to release up to 32 million Wolbachia-treated male mosquitoes across parts of Florida and California.
How it works:
🦟 Male mosquitoes carrying Wolbachia bacteria are released
🦟 They mate with wild females
🦟 The eggs fail to hatch
🦟 Local mosquito populations decline over time
Previous field programs using Wolbachia technology have reported significant reductions in mosquito populations and dengue transmission.
Public comments remain open until June 5 as regulators review the proposal.
The intersection of AI, biotech, and public health is getting increasingly interesting. 👀
$LAB $CLO $H
#Google #MosquitoMarket #CustodiaBankFedAppealExtension #AxeComputeAethirDeal #IranHormuzStraitControl
Log in to explore more content