David M. Patel

AI Consultant & Researcher. Amazon Bestselling-Author. Passionate AI Trainer & Dad of 2 Wonderful Sons.

[David M. Patel @DavidMPatel]

What does this mean for you?

📈 Claude Pro and Claude Max get more capacity
📈 Fewer slowdowns, higher limits, faster responses
📈 Anthropic is also exploring AI compute in orbit with SpaceX

AI data centers in space. We're living in the future.

🧠 Follow for more AI updates.

[David M. Patel @DavidMPatel]

🚨 Anthropic and SpaceX signed a massive compute deal.

Anthropic gets ALL of Colossus 1 — one of the world's largest AI supercomputers.

220,000 GPUs. 300+ megawatts. Memphis, Tennessee.

Here's why this matters 👇

[SpaceXAI @SpaceXAI]

SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude → https://t.co/nfDR9S822L

[David M. Patel @DavidMPatel]

The irony is hard to miss.

Musk has spent years criticizing AI companies like Anthropic and suing OpenAI.

Now his company is renting its biggest data center to a direct competitor.

In AI, compute is the new oil — and everyone has to trade.

[Shiv @shivsakhuja]

Lots of companies are now building primitives for an economy where AI agents are the primary users instead of humans.

They're betting on an economy of AI coworkers.

1. AgentMail (@agentmail): so agents can have email accounts

2. AgentPhone (@tryagentphone): so agents can have phone numbers

3. Kapso (@andresmatte): so agents can have WhatsApp phone numbers

4. Daytona (@daytonaio) / E2B (@e2b): so agents can have their own computers

5. Browserbase (@browserbase) / Browser Use (@browser_use) / Hyperbrowser (@hyperbrowser): so agents can use web browsers

6. Firecrawl (@firecrawl): so agents can crawl the web without a browser

7. Mem0 (@mem0ai): so agents can remember things

8. Kite (@GoKiteAI) / Sponge (@PayspongeLabs) : so agents can pay for things.

9. Composio (@composio): so agents can use your SaaS tools

10. Orthogonal (@orthogonal_sh) so agents can access APIs easily

11. ElevenLabs (@ElevenLabs) / Vapi (@Vapi_AI) so agents can have a voice

12. Sixtyfour (@sixtyfourai) so agents can search for people and companies.

13. Exa (@ExaAILabs): so agents can search the web (Google doesn’t work for agents)

If you stitch all of these together, you get a digital coworker that looks more human than AI.

[David M. Patel @DavidMPatel]

Great post on the business opportunity AI consulting represents for the fast-moving

[Luke Pierce @lukepierceops]

Anthropic and OpenAI are both building PE-backed consulting arms to deploy AI inside companies.

Let that sink in for a second.

The two companies building the most powerful AI on earth looked at the market and said "businesses can't figure out how to use this. We need to go in and do it for them."

They are literally telling you where the gap is.

Companies have access to the best AI models ever built. And most of them are still running on spreadsheets, disconnected tools, and manual processes because nobody showed them how to actually implement it.

That's the whole game right now. Not building better models (obviously) or shipping new features.

IMPLEMENTATION.

Getting AI inside real workflows.

Mapping the processes, building the systems, and making it stick.

I've been doing exactly this for 4 years and have worked with 80+ companies at this point.

It started with automation and naturally flowed into Ai.

And every single engagement starts the same way. Not with AI or automation but with a process map.

Because AI alone won't fix broken operations.

Companies now understand that. They have not yet seen true ROI from Ai.

You have to understand how the business actually runs before you touch a single tool.

Where does the data live? Where are the bottlenecks? What's manual that shouldn't be? What breaks when volume goes up?

That's the work, and that's what Anthropic and OpenAI just told the entire market is worth billions.

Every company is going AI-first over the next 3-5 years.

The demand for people who can actually make that happen is about to be unlike anything we've seen.

The labs told you where the gaps are.

Now go fill them.

[David M. Patel @DavidMPatel]

🧠 The takeaway from GTC 2026:

AI models are about to get dramatically faster and cheaper to run.

Nvidia isn't just selling chips anymore — they're building the infrastructure layer for the entire AI economy.

The token factory era has begun.
https://t.co/idRCgcg2z4

[David M. Patel @DavidMPatel]

🚨 Nvidia just dropped its biggest GTC keynote ever.

Jensen Huang revealed the Vera Rubin NVL72 — a single rack that outputs 700 million tokens per second.

The previous gen needed entire 1GW data center to do 22 million.

Here's what you need to know 👇
https://t.co/dbjhYccKI9

[David M. Patel @DavidMPatel]

📈 Jensen said he expects $1 trillion in purchase orders through 2027 between Blackwell and Vera Rubin.

That's not a typo.

The demand for AI compute has never been higher — and Nvidia just became the only company selling the full factory.

[David M. Patel @DavidMPatel]

@sumiturkude007 It's outstanding of course, but there are some inconsistencies as were noted.

Also the movement doesn't always seem natural. But a great demonstration of how far these models have already come.

[David M. Patel @DavidMPatel]

Copilot Cowork - looking a lot like Claude Cowork...

Seems this is will be a massive step in the global adoption of personal AI agents and agentic workflows.

Can't wait to try it out and play around with it

What's your take?

[Satya Nadella @satyanadella]

Announcing Copilot Cowork, a new way to complete tasks and get work done in M365.

When you hand off a task to Cowork, it turns your request into a plan and executes it across your apps and files, grounded in your work data and operating within M365’s security and governance boundaries.

[David M. Patel @DavidMPatel]

The companies building the best voice AI experiences will own the next decade.

Which assistant are you betting on — Siri, Claude, or something else?

Follow @DavidMPatel for daily AI insights.

[David M. Patel @DavidMPatel]

🚨 The AI assistant wars just entered a new phase.

Two massive moves — one from Apple, one from Anthropic.

Here's what's happening 👇

[David M. Patel @DavidMPatel]

🧠 The pattern is clear:

Apple is betting on Google's models.
Anthropic is betting on developer workflows.

Both are racing to become the AI layer you interact with all day — through voice.

The interface war has shifted from text to speech.

[David M. Patel @DavidMPatel]

The AI race just got a new front: security.

Building the best model isn't enough anymore. You have to protect it too.

Full story via TechCrunch:
https://t.co/turmsKV60h

[David M. Patel @DavidMPatel]

🚨 Anthropic just caught Chinese AI labs stealing Claude's brain.

24,000 fake accounts. 16 million queries. Industrial-scale distillation.

Here's what happened 👇

[David M. Patel @DavidMPatel]

This isn't just about IP theft.

Anthropic warns: distilled models may lack safety guardrails—opening the door to cyberattacks, disinformation, and worse.

OpenAI and Google made similar claims against DeepSeek earlier this month.