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Why AI Won’t Trigger a SaaS Collapse for IT Teams

9to5Mac •
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Apple @ Work, a webcast sponsored by Mosyle, spotlights how enterprise IT teams can adopt generative AI without discarding existing SaaS stacks. Veteran Apple admin Bradley Chambers, on the air since 2009, walks through device deployment, network design, and user training for macOS and iPadOS fleets. Over 45,000 organizations trust Mosyle, and he argues the looming “SaaS apocalypse” is hype, not reality.

Chambers compares AI rollout to the early‑2010s cloud migration, noting adoption never jumped from 0% to 100% overnight. He says enterprises still wrestle with baseline migrations in 2026, so AI tools will follow a similarly gradual path, unlikely to replace every vendor by 2027. Instead, AI will embed within existing platforms, augmenting rather than supplanting them.

Specialized SaaS remains essential because it carries compliance frameworks, audit logs, and dedicated support that black‑box AI models lack. When a macOS bug breaks a deployment profile, Mosyle’s engineering team can issue a patch overnight—something a generic language model cannot guarantee. The takeaway: enterprises will layer AI into trusted tools, not abandon them.

In practice, IT departments will adopt a both/and model: keep device‑management, telemetry, SIEM, and network tools while enabling AI‑driven automation inside them. This hybrid approach preserves risk controls and leverages AI’s efficiency, delivering measurable productivity gains without exposing corporate fleets to unknown model behavior today.