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MOST AI INCOME RESETS TO ZERO EVERY MONTH. This model does not. AI workflow automation for service businesses produces retainers not one-time fees. Every client you add compounds the revenue instead of replacing the last payment. Six to eight clients. $3,000 to $5,000 per month. Built on a tool...

27,059 görüntüleme • 1 ay önce •via X (Twitter)

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Our monthly business reviews used to take over 96 hours to prepare. Last month they were already waiting for us before our first client meeting. The hours weren't the hardest part. It was rebuilding the same reports, presentations, and recommendations every single month. I lead a small digital marketing team managing growth for multiple clients, and every monthly review started the same way. One of us pulled campaign data, another rebuilt presentation decks, and someone else turned the numbers into recommendations before we could even sit down with clients. My first instinct was to standardize everything. We built templates, reused presentation decks, and documented our reporting process. It made things more consistent, but every month we were still rebuilding the same deliverables from scratch. And as we added clients, the problem didn't shrink. It compounded. It clicked when we onboarded Viktor in Slack and gave him one recurring responsibility: own our monthly business review workflow. Our account managers handed him campaign performance data. Our analysts handed him performance reviews. I handed him the responsibility of preparing every monthly business review before the team stepped in for final approval. By the time client meetings came around, every report was already prepared, every presentation was ready, and every recommendation had been backed by the latest performance data. Across 8 active clients, what used to take our team 96 hours every month became just 9 hours of review. We got 87 hours back to spend on strategy, client conversations, and actually helping our clients grow. That is a hire we didn't have to make. We didn't add a tool to the stack. We added a member to the team. And it showed up in the P&L. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #MarketingOps #ClientReporting Paid Partnership

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AMD might have disrupted Nvidia's entire cloud GPU rental business. In January at CES, AMD CEO Lisa Su demonstrated a $1,499 mini PC running the same class of AI model that currently costs companies $2,500 to $3,000 every month to rent from Nvidia-powered cloud servers. AMD's own branded version opened pre-orders this month at $3,999. Third party manufacturers have been selling the same chip since 2025 starting at $1,499. Here is exactly why this is dangerous for Nvidia. Nvidia's $75 billion quarterly revenue is built almost entirely on one business model, companies rent access to Nvidia GPUs through cloud providers like AWS and Lambda Labs to run AI. They pay monthly. Nvidia gets paid every time someone runs an AI model in the cloud. That recurring rental income is what turned Nvidia into a $5 trillion company. The AMD box eliminates that monthly fee permanently. One AI consultant switched from $2,800 per month in Nvidia cloud rental costs to $8 per month in electricity. The hardware paid for itself in 11 days. Over 8 months he generated $47,000 running the same AI workloads that previously left him paying Nvidia's ecosystem $2,800 every single month. Multiply that across thousands of enterprise customers and the revenue erosion becomes structural. Every business that buys this box stops paying cloud rental fees forever. Lawyers, doctors, banks, accountants, and financial advisors, businesses with sensitive data that cannot legally go to a cloud server represent billions in annual cloud GPU fees that Nvidia is now at risk of losing permanently. The threat is also closing in from the top. Google signed deals worth tens of billions with Anthropic and Meta to replace Nvidia with its own chips. Amazon built its own AI chips across AWS. Apple trained its AI on Google's chips, not Nvidia's. Custom silicon has grown from 21% of the AI chip market in 2025 to 28% in 2026. Nvidia's rental model only worked because serious AI compute had no alternative.

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