How to Talk to a CTO About AI Without Sounding Like a Vendor
Framing technical depth for executive conversations. What CTOs actually evaluate: risk, cost, and competitive edge — not attention mechanisms. #career #enterpriseai #leadership I watched an AI specialist — genuinely brilliant, genuinely knew the technology — open an executive briefing with this: "Transformer architecture enables attention-based parallel processing across token sequences, which…
When discussing AI with a CTO, it's crucial to frame the conversation around business outcomes, risk, and cost rather than diving into technical details. A brilliant AI specialist once lost an executive's attention by explaining complex concepts like transformer architecture, only to realize it was irrelevant to the executive. Instead, pose a question to the CTO: "What's the most expensive thing you do repeatedly that produces no competitive advantage?"
This opens the conversation by focusing on tangible problems with measurable costs. Follow up with questions about how many people are involved and the fully-loaded cost per cycle. If the process seems unchanged, ask what would still be painful after two years. This approach surfaces the real pain points and allows you to propose an automation solution with a defined rollback condition.
By emphasizing the automation over the AI, you shift the focus to measurable improvements in efficiency and cost savings. When asked about the pilot scope, use a concise formula: a 6-week duration, one use case, a pre-defined success metric, a budget under $50k, and a rollback plan. This structured approach ensures a yes from the CTO, making the AI skeptic an ally rather than an adversary.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
