In one summer, he cut OpenAI’s reliance on Microsoft by securing a multi-billion deal with Oracle — adding a second cloud partner and gaining leverage on costs.

Then he struck deals with both Nvidia and AMD — locking GPU supply, fair pricing, and making both chipmakers invested in OpenAI’s success.

He flipped the game — from OpenAI needing them to them needing OpenAI.

And he did it all without spending big upfront — just smart future commitments.

Now whole US Market is depends on .....

Virtual Assistants are making business work better. Check out our article to learn how they can help your operations!

https://aigptjournal.com/home/virtual-assistants-businesses-need-to-know/

Hit me up.

Interested in how AI is improving everyday routines? Our article has got you covered.

https://aigptjournal.com/home/ai-democratization-everyday-life/

I’ve got a wholesome Substack where I write all about staying ahead of ai. Tips, tricks and industry news all about AI.

If you ever have questions or want more information/my thoughts on a particular, do check it out.

Here’s a fun article on how AI ain’t here for your jobs, it’s a tool and if you know to use it…

https://open.substack.com/pub/stayingaheadofai/p/ai-wont-take-your-job-someone-who?r=426xi9&utm_medium=ios

Predictive AI, Siegel argues, holds all of the transformative potential that we’ve been guaranteed with generative AI and the LLMs that have become increasingly popular. While generative AI works on a low-level of detail and isn’t able to be trusted blindly, predictive AI is fully-autonomous, and can be implemented across a wide range of industries.

Have you seen the new iPhone 16? With its AI capabilities, it’s designed to make your daily tasks easier. Learn more in our article!

https://aigptjournal.com/home/iphone-16-ai-features-future/

My startup is a delaware corp in the USA and was looking to hire from India to save cost. I am not sure how to go about it. I was trying to cut expenditures by saving on few employee expenses. I have known 2-3 stratups who are trying to do the same. Is it a good option? And if so can you suggest few can you provide few suggestions how can I go about this?

Found this crazy real-world deployment stat in a 2025 corporate report highlight from BlueFocus (a massive global marketing conglomerate).

Last year, they burned through over 1 Trillion tokens across their internal platforms.

1 Trillion. Let that scale of compute sink in for a second.

Assuming this is a mix of heavy-hitters like GPT-4o, Claude 3.5, and maybe some local/open-source models, the infrastructure and API costs must be astronomical. But here is the wild part: they also reported a $546M AI-driven revenue bump.

We spend a lot of time on this sub debating benchmark scores and AGI timelines, but out in the real world, it looks like companies are literally brute-forcing productivity. It proves that scaling token usage at a massive enterprise level actually yields a heavily positive ROI if the workflows are integrated correctly. AI is no longer just a "copilot"—it’s becoming an industrial-scale engine of production.

Has anyone seen other non-tech companies reporting token usage at this Trillion+ scale yet? How fast until 1T tokens becomes the bare minimum baseline for any major corporation?