NVIDIA’s New Chip Changes the AI Power Game
ALSO: A tool that writes your training manuals for you.
📖 Today’s Edition
The Big Story: NVIDIA’s new chip isn’t just a tech upgrade; it’s a strategic move that will dictate AI costs for years.
Trends: Venture Capital is pouring money into AI tools that make software developers more efficient, lowering costs for everyone.
The Workflow: A step-by-step guide to automating your client onboarding process.
🚀 AI News & Breakthroughs
NVIDIA’S NEW CHIP SOLIDIFIES AI MARKET DOMINANCE
NVIDIA unveiled its next-generation AI chip, “Vera Rubin,” at CES 2026, promising to triple the speed of its already dominant hardware.
The Details:
The new chip architecture is designed for building and running the next wave of massive AI models.
This move accelerates NVIDIA’s roadmap, putting significant pressure on competitors like AMD and Intel.
Why it matters (Strategic Analysis): This isn’t about speed; it’s about power. NVIDIA is cementing its position as the primary “arms dealer” of the AI revolution. For business leaders, this has two major second-order effects: 1) Your business’s future AI capabilities and costs are increasingly tied to the strategy of a single company. 2) This raises the barrier to entry for new AI startups, making the ecosystem less diverse and potentially more expensive in the long run. Your choice of AI vendors is now intrinsically linked to their relationship with NVIDIA.
VC’S BET $30M ON AI THAT LOWERS YOUR DEV COSTS
Greptile, a startup building AI-powered tools to automate code analysis, has secured $30 million in funding from top investors including Y Combinator.
The Details:
Greptile’s tools help developers understand and manage large, complex software projects much faster.
The significant funding amount highlights investor confidence in AI’s ability to boost developer productivity.
Why it matters (Strategic Analysis): For non-technical founders, the cost of software development is a major expense and a common bottleneck. This investment trend is a clear signal that the market is aggressively moving to solve that problem. As these AI-powered developer tools mature, the cost and time required to build, maintain, and update your company’s software will decrease significantly, allowing you to ship new features faster and operate more efficiently.
🛠️ AI Tools to Discover
1. Scribe
Automatically create training manuals.
Use Case: Turn any process you do on your computer into a step-by-step guide with screenshots, instantly. Perfect for documenting procedures and onboarding new employees.
Pricing: Free/Paid
2. Gamma
Create presentations from prompts.
Use Case: Stop wasting hours on formatting slides. Write a prompt and Gamma generates a fully designed, professional presentation or document in seconds.
Pricing: Free/Paid
💡 AI Prompts & Hacks
1. The AI Vendor Due Diligence Prompt
Context: Use this before signing a contract with a new AI tool or service provider.
“Act as a Chief Technology Officer. I am evaluating a potential AI vendor called [Insert Vendor Name] for [Insert Service, e.g., ‘customer support chatbots’].
Your goal is to generate a list of critical due diligence questions I should ask them, focusing on:
1. Data security and privacy compliance.
2. Their underlying AI model and any dependencies (e.g., are they just a wrapper around OpenAI?).
3. Scalability, uptime, and their customer support process.
4. The long-term viability of their business.
Output Format: A numbered list of questions ready to email.”
2. The ROI Analysis Prompt
Context: Use this to make a data-driven decision about purchasing new software.
“Act as a CFO. I am considering purchasing [Insert Software Name] for my team. It costs [Insert Price, e.g., ‘$50/user/month’].
The promised benefit is [Insert Benefit, e.g., ‘automating report generation, saving each of my 5 team members 3 hours per week’].
Your goal is to conduct a simple cost-benefit analysis. Calculate:
1. The total monthly and annual cost.
2. The total hours saved per month.
3. The estimated financial value of the time saved, assuming an average hourly employee cost of [Insert Cost, e.g., ‘$40/hour’].
4. A final verdict on whether this is a positive ROI investment.
Output Format: A brief, clear summary.”
3. The Automation Bottleneck Prompt
Context: Use this to identify the best opportunities for automation in your business.
“Act as a business process consultant. I run a [Insert Business Type, e.g., ‘digital marketing agency’].
My goal is to identify the single biggest bottleneck in my [Insert Process, e.g., ‘client onboarding process’]. The current steps are: [List the steps of your process here].
Your task is to:
1. Analyze the process I’ve described.
2. Identify the step that is most likely to be slow, repetitive, and prone to human error.
3. Suggest a specific type of automation or software (e.g., ‘CRM integration,’ ‘automated email sequences,’ ‘document generation tool’) that could solve this bottleneck.
Output Format: A concise analysis and a single, actionable recommendation.”
🧑🏫 AI Training: Workflow of the Day
How to Automate Your Client Onboarding
The Goal: Save 5+ hours per week and ensure every new client gets a consistent, professional experience.
The Stack: Zapier + ChatGPT + Your CRM (e.g., HubSpot, Salesforce)
Trigger: Create a new “Zap” in Zapier that triggers when a deal in your CRM is marked as “Closed/Won.”
Enrich: Connect Zapier to ChatGPT. Feed it the client’s information from the CRM and ask it to draft a personalized “Welcome & Kickoff” email using a predefined template.
Automate: Set up the next step in Zapier to automatically send that drafted email from your business email account.
Organize: Add another step to automatically create a new folder for the client in Google Drive and a private Slack channel for the project team.
Notify: Finish the workflow by having Zapier send a summary of the actions taken to your team’s main Slack channel, so everyone is informed.
“Strong investor confidence in AI developer tools signals a strategic shift; the new competitive advantage is not just having AI, but building with it efficiently.”
— Industry Analysis
In short: The AI race is expanding from a battle of models to a battle of building speed. Businesses that leverage AI to reduce their software development costs will out-innovate their competition.