SAP is swapping expensive AI models for cheaper ones wherever they get the job done, and it expects big savings. Here’s the AI news from October 28, 2026:
• SAP runs more than 70 AI models and now picks the cheapest one that does each task well enough. It is targeting more than €2B in efficiency gains.
• Google launches Gemini 4 Carbon, built for long coding jobs and cybersecurity. For now, only selected security defenders can use it.
• GitHub launches Copilot Fusion, which routes each task to the right model. GitHub reports it costs about half as much as a top single-model agent.
• GitHub Agentic Workflows is now generally available. It runs AI agents inside GitHub Actions.
• GitHub’s Octoverse report says agents started over 40% of pull requests in September
• NVIDIA releases Nemotron 3.5 Transcribe, an open speech model that transcribes, translates and tells speakers apart
• Google Cloud revenue doubles and Azure grows 48%
• China moves to restrict exports of its most advanced AI technology
• OpenAI reportedly plans to buy Google’s TPU chips
• Upwind raises $400M for cloud and AI security
The takeaway: You don’t need the most expensive model for every task. Match each step to the cheapest model that does it reliably and you can cut costs without losing quality.
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