Uber's spending on AI infrastructure has spiraled so fast that the company has already exhausted its full annual IT budget for artificial intelligence in just four months. The main driver? The rising costs of using Anthropic's Claude Code for development tasks. This is a stark reminder of how expensive it's becoming to run AI at scale, even for a tech giant with deep pockets. The company will now need to either find additional funding or cut back on AI initiatives for the rest of the year.
OpenAI is hosting a livestream event. Details about the specific announcements, product launches, or demonstrations will be revealed during the broadcast.
The last time OpenAI did an unannounced livestream, they dropped GPT-4 Turbo and changed pricing overnight
OpenAI is launching ChatGPT Images 2.0 with major upgrades to image generation capabilities. Watch the livestream announcement at https://openai.com/live/
OpenAI is positioning this as a direct competitor to established image generation tools, suggesting they're confident enough to challenge the current market leaders
Throughout 2025 the standard response to any complaint about an LLM was some version of "just wait 3-6 months, the next generation will handle this effortlessly." The argument was everywhere. Every limitation was temporary, every missing capability was a few iterations away, every autonomous agent demo was a preview of imminent reality. It's April 2026 now and worth checking how that held up. On r/ClaudeAI this week there's a long thread about Opus 4.7 where multiple users argue it's a regress
Someone actually tested Mistral Medium 3.5 on AMD's new Strix Halo chip, and the results are... not great. For a 48k-token prompt with 4k thinking tokens, it took about 2 hours just to get an answer about code architecture. Yeah, you read that right—two hours. The takeaway: if you want to run this locally on Strix Halo, queue it up before bed. The technical setup involved heavy optimization (Q5_K_XL quantization, GPU acceleration with -ngl 999, cache reuse), but even with all that tuning, it's still a crawl. Not exactly the "instant local AI" dream, but hey, at least it works.
Tech Blogger Take
Uber just proved AI coding tools are the new AWS bill shock — and it's only April
Uber — the company that literally invented surge pricing to optimize every dollar — just blew through their entire 2026 AI budget in four months. The culprit? Claude Code, Anthropic's coding assistant that developers apparently can't stop using. This isn't some scrappy startup getting surprised by their first viral app. This is Uber, with armies of financial analysts and cost optimization experts, getting blindsided by AI spend. If they can't predict and control these costs, what chance do the rest of us have? The era of 'let's just try this AI tool' is officially over. Every prompt is now a budget decision, and every developer using Claude Code is essentially writing checks your finance team didn't know they were signing.
AI Analysis
Enterprise Software
highStart tracking your AI spend NOW before it becomes a budget crisis — set hard monthly limits and usage alerts
If Uber — a company that optimizes every penny — can blow through an entire year's AI budget in four months, your startup's $500/month Claude budget is about to become $5,000
Your CFO is about to start asking very uncomfortable questions about that 'small AI experiment' that's now eating 30% of your tech budget
Job Impact Analysis
Engineering Manager
Role ShiftAI coding tools are shifting from 'nice to have' to 'budget line item that can sink your quarter' — you need cost controls yesterday
Implement usage quotas and cost monitoring for all AI tools before your next sprint planning meeting
CTO
At RiskAI infrastructure costs are proving unpredictable and can spiral faster than traditional cloud spend — even for companies with Uber's scale
Build AI cost forecasting into your 2026 planning and create emergency protocols for when usage exceeds projections