#airevenue — Public Fediverse posts

https://www.europesays.com/unitedstates/29658/ AI’s big test: Turning investment into revenue #AIBusiness #AIBusinessImpact #AiRegulation #AIRevenue #ArtificialIntelligence #OpenAIRevenue #ProductivityGains #SuperIntelligence #TCSAIRevenue #technology #Technology&AIBusiness #TSMCChipGrowth

The Financial Times reports that OpenAI told investors its annual revenue at the current pace is approaching $50 billion.

That contrasts with nearly $70 billion cited in reports just over a week earlier.

The figures are not directly comparable: OpenAI and Anthropic use different methods to calculate annualized revenue.

Anthropic includes sales partners make through their own services; OpenAI does not.

The gap alone does…

https://en.hacks.gr/o-simerinos-rythmos-esodon-tis-openai-antistoichei-se-schedon-50-dis-dolaria-ton-chrono-symfona-me-toys-ft/

#OpenAI #Anthropic #AIRevenue #StartupFunding

#Bain and Co predicts $6 #trillion annual #AIrevenue by 2031 is required to justify #datacentre investment, demanding unprecedented #innovation. Kupperman warns rapid component decay makes current economics unsustainable, risking national crisis. https://futurism.com/future-society/data-centers-trillion-capital-time-bomb-bain?eicker.news #tech #news #ainews

Kakao AI Aims to Top 1 Trillion Won in AI Revenue by 2030

Kakao CEO Chung Shina. Yonhap News Kakao (035720.KS) CEO Chung Shin-a, who will lead Kakao AI, the unit…
#EuropeSays #Korea #KR #Kakao #AIrevenue #AIsearchadvertising #ChungShin-a #full-stackAI #KakaoAI #KakaoTalk #KananaNano
https://www.europesays.com/korea/128203/

OpenAI's annualized revenue has surpassed $40 billion, nearly doubling from late 2025, driven by AI coding tools, enterprise subscriptions, and emerging ad revenue.

#OpenAI #AIRevenue #OpenAIIPO #GenerativeAI #ChatGPT

https://securityexpress.info/openai-revenue-40-billion-run-rate-ipo/?utm_source=mastodon&utm_medium=jetpack_social

Microsoft filings suggest "around 70%" of its AI revenue is on OpenAI

https://www.windowscentral.com/artificial-intelligence/microsoft-filings-suggest-around-70-percent-of-its-ai-revenue-is-concentrated-entirely-on-openai

Comments: https://news.ycombinator.com/item?id=49198884

#HackerNews #Microsoft #OpenAI #AIRevenue #TechNews #BusinessInsights

ICYMI: Magnite CEO warns of far fewer SSPs as PubMatic faces a $70m quarter: Barrett puts 2027 agentic spend at $600m to $700m industry-wide. Emerging AI revenue is 14% of PubMatic sales. August 6 now tests whether the pitch converts. https://ppc.land/magnite-ceo-warns-of-far-fewer-ssps-as-pubmatic-faces-a-70m-quarter/ #DigitalAdvertising #SupplySidePlatform #PubMatic #AIRevenue #MarketingTrends

The Definitive Guide to Using AI for High-Impact Copy that Actually Sells—Even if You're Not a #Copywriter. www.nbloglinks.com/ai-prompts-f... #AIPrompts #sales #marketing #revenue #LLM #ChatGPT #content #AI #PromptsStrategy #AImarketing #AIrevenue #AICopyPrompts #PassiveIncome #RevenuePrompts

AI Prompts For Sales And Marke...

https://www.europesays.com/people/68582/ Daniela Amodei built the world’s most valuable AI lab on a literature degree – Startup Fortune #AIRevenue #AIValuation #Anthropic #AnthropicGrowth2026 #ClaudeAI #DanielaAmodei #DarioAmodei

Microsoft has decided to stop sharing revenue with its AI buddy #OpenAI, proving once again that tech partnerships are just digital soap operas with less interesting plot twists. 💔🤖 Meanwhile, Bloomberg reminds us that they're not a robot, but they wouldn't mind if you were. 🖥️❗
https://www.bloomberg.com/news/articles/2026-04-27/microsoft-to-stop-sharing-revenue-with-main-ai-partner-openai #Microsoft #partnership #technews #drama #AIrevenue #HackerNews #ngated

#Amazon CEO #AndyJassy defends the company’s $200 billion #capitalexpenditure in 2026, highlighting the success of its #AI and #customchip businesses. Jassy reveals that #AWS #AIrevenue has reached a $15 billion annual run rate and that Amazon’s internal chip business is generating over $20 billion annually. https://www.geekwire.com/2026/not-on-a-hunch-andy-jassy-defends-amazons-200b-spending-spree/?eicker.news #tech #media #news

The Hidden Cost of ChatGPT: Why AI Is Burning Millions in Power

843 words, 4 minutes read time.

Artificial intelligence is sexy, fast, and powerful—but it’s not free. Behind every seemingly effortless ChatGPT response, there’s a hidden world of infrastructure, energy bills, and compute costs that rivals a small factory. For tech-savvy men who live and breathe machines, 3D printing, and tinkering, understanding this hidden cost is like spotting a fault in a high-performance engine before it explodes: critical, fascinating, and a little humbling.

AI’s Energy Appetite: Not Just Code, It’s Kilowatts

Every query you type into ChatGPT triggers massive computation across thousands of GPUs in sprawling data centers. Deloitte estimates that training large language models consumes hundreds of megawatt-hours of electricity, enough to power hundreds of homes for a year. It’s like firing up your 3D printer farm 24/7—but now imagine dozens of factories running simultaneously. Vault Energy reports that even inference—the moment ChatGPT generates an answer—adds nontrivial energy costs, because the GPUs are crunching billions of parameters in real time.

For enthusiasts used to pushing their 3D printers to the limits, this is familiar territory: underestimating load can fry your board, warp your print, or shut down a build. In AI, underestimating the energy cost can fry the bottom line.

Iron & Electricity: The Economics of Compute

OpenAI’s servers don’t just hum—they demand massive capital investment. Between cloud contracts, GPU clusters, and custom infrastructure, the company is spending tens of billions just to keep ChatGPT alive. CNBC reported that compute power is the single biggest cost line for OpenAI, dwarfing salaries and office space combined.

For men who respect hardware, think of this as owning a high-end CNC machine: the sticker price is one thing, the electricity, cooling, and maintenance bills are another—and neglect them, and the machine fails. AI infrastructure mirrors this principle on a massive industrial scale.

Capital & Cash Flow: Can This Beast Pay Its Own Way?

Here’s the kicker: while ChatGPT generates billions in revenue, the compute costs are skyrocketing almost as fast. TheOutpost.ai reported a $17 billion annual burn rate, even as revenue surged. OpenAI’s projections suggest spending over $115 billion by 2029 just to scale services, a number that makes most venture capitalists sweat.

It’s like running a personal 3D-printing business where every new printer you buy consumes more power than your entire house, and the revenue from prints barely covers the bills. That’s growth pain in action.

Gridlock: Power Infrastructure Meets AI Demand

Data centers don’t just pull electricity—they strain grids. Massive GPU clusters require sophisticated cooling, sometimes more water and power than a medium-sized town. Deloitte and TechTarget both warn that AI growth could stress regional power grids if not managed properly.

For 3D-printing enthusiasts, this is like wiring a new printer farm into an old house circuit: without planning, it trips breakers, overheats transformers, and causes downtime. AI scaling shares the same gritty reality—without infrastructure planning, growth stalls.

Why It Matters to You

Men who love tech and machines understand efficiency, limits, and optimization. Knowing how AI burns money and power helps you think critically about cloud computing, energy consumption, and sustainability. If you’re running AI-assisted designs for 3D printing or using ChatGPT for coding or prototyping, understanding the cost per query, and the infrastructure behind it, is like checking tolerances before firing up a complicated print: essential to avoid disaster.

Even more, this awareness primes you to make smarter decisions on hardware investments, software efficiency, and environmental impact—not just for hobby projects but potentially for businesses.

Conclusion: The Future of AI Costs

The road ahead is clear: AI will grow, compute will scale, and the dollars and watts required will continue to climb. For tech enthusiasts and makers, this is a call to respect the machinery behind the magic, optimize wherever possible, and stay informed.

Call to Action

If this breakdown helped you think a little clearer about the threats out there, don’t just click away. Subscribe for more no-nonsense security insights, drop a comment with your thoughts or questions, or reach out if there’s a topic you want me to tackle next. Stay sharp out there.

D. Bryan King

Sources

• Gen AI’s Data & Power Consumption Challenges (Deloitte)
• AI Energy Consumption Statistics (Vault Energy)
• Breaking The Planet to Build The Future: AI’s Environmental Cost (Forbes)
• How AI Impacts Data Centers & the Environment (TechTarget)
• Environmental Impact of AI (Wikipedia)
• AI Data Centers (Wikipedia)
• OpenAI CFO: Compute Power Is Biggest Challenge (CNBC)
• Moving Beyond ChatGPT: OpenAI’s New Revenue Model (Forbes)
• OpenAI to Spend $115B by 2029 (OpenTools.ai)
• OpenAI Revenue Growth & Compute Costs (TheOutpost.ai)
• Data Industry Job Trends Amid AI Boom (Investopedia)
• Gruve Raises $50M to Solve AI Power Challenges (Business Insider)
• OpenAI Seeks Alternatives to Nvidia Chips (Reuters)
• Amazon Prepares $200B AI Spending Blitz (Financial Times)
• Google Doubles AI Spending to $185B (Financial Times)

Disclaimer:

The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

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How much revenue is needed to justify the current AI spend?

https://pracap.com/an-ai-addendum/

#HackerNews #AIRevenue #AIspending #BusinessStrategy #TechInvestments #FinancialAnalysis

📊 THE NUMBERS DON'T LIE - AI Market Opportunity for MSPs:

📈 Market Data:
• $184 billion AI market by 2030
• 87% of businesses plan AI implementation in next 2 years
• MSPs with AI services report 40% higher client retention
• Average AI project value: $45,000-$150,000

🎯 Why MSPs are positioned to WIN:
✓ Trusted advisor relationships already established
✓ Understanding of client infrastructure & security needs
✓ Ongoing support model perfect for AI maintenance
✓ First-mover advantage in your local market

🚀 Our 'Developing your AI Offering' course starts October 16th - learn to capture this massive opportunity!

🔗 Position yourself at the forefront: https://www.thirdtier.net/product/developing-your-ai-offering/

#MarketOpportunity #MSPGrowth #AIRevenue #BusinessGrowth #MSPStrategy #AIMarket #FutureOfMSP
https://www.thirdtier.net/product/developing-your-ai-offering/

Dell results show no signs of Bitcoin despite CEO’s bullish comments - Many had expected to see Dell add itself within a list of companies with... - https://cointelegraph.com/news/dell-no-signs-bitcoin-despite-ceo-bullish-crypto-comments #microstrategybitcoinholdings #teslabitcoinpurchase #bitcoininvestment #delltechnologies #cryptocurrency. #michaeldell #airevenue

This is an interesting approach for revenue sharing when AI uses copyright materials - company called Prorata. Creating algorithms to scan AI outputs, ID sources, assign attribution and make the appropriate payments. https://www.prorata.ai/ #AI #copyright #attribution #payperuse #AIrevenue #prorata

CoreWeave expands Core Scientific computing deal by $1.225B - Core Scientific is well-positioned to take advantage of new opportunitie... - https://cointelegraph.com/news/coreweave-expands-core-scientific-deal-1-225-billion #$1.225billiondeal #aiinfrastructure #corescientific #bitcoinhalving #bitcoinmining #datacenters #hpcservices #nvidiagpus #coreweave #airevenue