Uber burned through its entire 2026 AI budget in four months. Microsoft quietly told engineers in a key division to stop using an AI coding assistant because the costs were unsustainable. An unnamed company ran up a $500 million bill from Anthropic's Claude in a single month after management forgot to set a usage cap.
These are not cautionary tales from the early days of experimentation. These are this week's headlines.
Forbes reported on Wednesday that artificial intelligence now costs many businesses more than the human employees it was supposed to replace. Bryan Catanzaro, Vice President of Applied Deep Learning at Nvidia — the company that builds the hardware powering the AI revolution — stated plainly that computational costs for his team now exceed the expenses associated with the employees using the technology.
The numbers behind this are stark. Major tech firms have announced combined capital expenditures of $740 billion this year, a 69 percent increase from 2025. Research from MIT found that AI automation is only economically feasible for roughly 23 percent of roles. For the other 77 percent, human labor remains cheaper.
And here is the detail that should concern every business owner paying an AI bill: 95 percent of enterprise AI usage still relies on the most expensive frontier models, even for tasks that do not require that level of sophistication. Companies are using a sledgehammer to hang a picture frame.
Sequoia Capital partner David Cahn has quantified the gap: AI companies need approximately $600 billion in annual revenue to justify current infrastructure spending. As of mid-2026, that gap is widening.
What does this mean for the business owner who does not have Uber's budget or Microsoft's engineering team?
It means the pricing model matters more than the technology itself.
Viktor lives inside Slack and Microsoft Teams. You @mention it in a thread the same way you would ask a colleague. The output — a PDF, a report, a task created in your CRM, an email drafted in Gmail — lands where it should land.
The reason Viktor avoids the cost trap described in the Forbes report comes down to three things.
First, Viktor runs on Claude, GPT-4, and Gemini — all three included in one credit balance — and selects the right model automatically for each task. No human decision required. No defaulting to the most expensive option because nobody configured it otherwise.
Second, you pay only for the work Viktor actually does. There is no per-seat license draining budget whether the tool is used or not.
Third, Viktor does tasks, not just answers. It drafts the email, builds the spreadsheet, files the report. The output is the work itself, not a suggestion about how to do the work.
The Forbes article notes that Anthropic and GitHub have already begun shifting enterprise clients to usage-based billing, and analysts expect AI costs to rise another 30 to 50 percent when pricing normalizes to reflect actual infrastructure costs. The companies that survive that adjustment will be the ones who matched the right tool to the right task from the start.
You get $100 of free credits to begin. No time limit, no commitment. That’s enough to do real work and see what Viktor can actually do before you spend a penny. There’s also $50 off your first bill. You must use this exact link to receive both benefits:
Disclosure: Some links in this article are affiliate links. If you choose to get started with Viktor using the links provided, I may receive a commission — at no additional cost to you. I only recommend tools I use and believe in.