Deutsche Telekom Is Rebuilding Itself as an AI-Native Company Using OpenAI
Germany's largest telecom is overhauling customer service, networks, and internal workflows with OpenAI models in a full-stack transformation.
Per InfoQ, a new industry report confirms what engineering teams have been grumbling about for months: AI assistants like Copilot and Cursor make writing code dramatically faster, but they aren't speeding up how quickly software actually ships.
The bottleneck has simply moved downstream — to code review, testing, security checks, and the organizational coordination required to get a change approved and deployed. None of that is something an AI coding assistant touches, no matter how fast it generates a pull request.
The takeaway for engineering leaders is blunt: speeding up the IDE without redesigning the rest of the pipeline just means a bigger backlog sitting in front of slower humans. The productivity gains are real — they're just trapped behind every step that was never autocomplete to begin with.
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Germany's largest telecom is overhauling customer service, networks, and internal workflows with OpenAI models in a full-stack transformation.
Researchers at EPFL created AI-generated videos optimized not for aesthetics but for neurological effect, raising immediate questions about manipulation.
Meta starts manufacturing its own AI chip next month, co-designed with Broadcom and built by TSMC, after clearing validation in just six weeks.