The most panicking people tonight may be AI vendors, not founders
On Wednesday night in Hangzhou, I was revising a plan for a client building an AI customer-service system. He suddenly asked: “If Nvidia’s CEO leaves, will our AI service get more expensive?” I understand the worry: when the company behind a tool changes, the first things people think about are price, delivery, and whether the tool will still work.
But I also had to correct myself: switching tools or pausing a project the moment I see news like this is a mistake I made before. Nvidia’s board is reportedly discussing removing co-founder Jensen Huang as CEO, and the news overlaps with a controversy involving his private relationships. What will really affect our clients first is compute purchasing, cloud-platform pricing, and expectations around chip supply—not founder gossip itself.
What this means, and which thread founders should follow
Jensen Huang has helped run Nvidia since 1993. He is not only the company’s leader but also one of the AI industry’s most prominent champions. Nvidia supplies GPUs to data centers: the heavy computing equipment needed to train and run many AI models. A change in the founder’s role could affect the company’s direction, as well as how customers, employees, and partners judge its stability.
Who is already dealing with this kind of uncertainty? Weicheng Lin is a freelancer doing AI training. Last week in Shenzhen, he configured online customer service for 12 small shop owners. After hearing the news, he did not immediately switch models. Instead, he asked two model providers to confirm their prices, outage compensation, and data-migration arrangements, and kept a manual-reply workflow in place. He told me: “The news lasts ten minutes, but my contract and backup plan can protect me for six months.” That is closer to how an operator should think than chasing every rumor.
What it costs to replicate “steady operations” today
Replicating Weicheng Lin’s approach costs 0 yuan. It takes 60–90 minutes. The technical barrier is simply knowing how to open a provider’s dashboard and find the pricing, service terms, and contact details; no knowledge of chip architecture is required. First step: log in to the AI tool you use now, click “Billing” or “Plan,” and save screenshots of your current monthly cost, renewal date, and auto-renewal rules. Second step, find one comparable service and note only its price, stability, and whether your data can be exported; there is no need to migrate that day. This gives you room to handle a price change without disrupting delivery because of one news item.
By stage, there is no need to do the same thing
If I were just starting and had fewer than one client, I would choose a provider with a reliable payment history and keep the budget within 10% of monthly revenue; there is no need for a complex backup setup yet. If I already had one or two paying clients, I would run a cost-and-outage exercise like Weicheng Lin, keep a manual fallback, and tell clients exactly where their data lives and how incidents will be handled. If I were scaling up, I would compare the pricing, data-migration capabilities, and enterprise support of two or three providers, while spreading critical operations across separate platforms. Not everyone in this industry needs to follow every headline, and it is fine not to try this now. Protecting cash flow matters more than guessing who will be the next main character.