Developers are coding to a moving target, and nobody knows where AI lands next
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At MWC Barcelona, NTT executives and security researchers discussed the challenges developers face as AI reshapes software development faster than teams can adapt. Key themes include moving intelligence to the edge while managing GPU costs, using smaller domain-specific AI models instead of massive cloud deployments, and the new security risks AI introduces—prompt injection, model drift, shadow data pipelines, and insecure agent behavior. Experts argue developers need stable leadership guardrails (clear data boundaries, model-control policies) rather than being expected to keep pace with AI's quarterly shifts. The telecom sector is highlighted as ripe for AI-driven reinvention, with orchestration and governance cited as critical unsolved challenges.
