How do you automate marketing with AI? AI will handle repeatable execution: content variants, email follow-ups, ad creative tests, and performance monitoring. The real constraint is strategy. Without a clear go-to-market hypothesis and prioritized early growth channels, automation amplifies noise, not traction. Practical path: pick one channel, design simple experiments, automate the repeatable steps, measure lift, and iterate. With 20 years building and scaling startups, I help founders convert unclear go-to-market strategies into operational growth systems at Radi8. Send me a message to schedule a free marketing audit. #startup

My point of view on content marketing is simple. Founders often treat content as a brand or traffic play. It delivers fastest when built as a repeatable acquisition engine: a defined buyer, a single, measurable offer, formats mapped to that buyer, and a small channel pilot to validate economics. With 20 years of building and scaling startups, I use that framework at Radi8 to remove guesswork in early growth. If your go-to-market feels unclear, start with a testable acquisition hypothesis. Send me a message for a free marketing audit.

Are You ‘Agentic’ Enough for the AI Era? Wired reports AI agents are taking on much of the grunt work. The most valuable skill today is deciding what those agents should do. I agree. For early-stage founders that means shifting from pure execution to designing clear agent workflows: name the outcome, define the success metric, and build a fast feedback loop. Start by automating one repeatable task—content drafts, user outreach, or ad copy—and specify the outcome, the KPI you’ll watch, and how often the agent reports back. Without that structure, automation increases overhead instead of removing it. Send me a message to schedule a free marketing audit. Michael Ashley, Founder & CEO, Radi8 | Startup advisor, investor, mentor https://www.wired.com/story/silicon-valley-agentic-individuals-future-of-work/

The objection I keep hearing about automating marketing with AI, and why I still disagree Objection: We can’t automate because our go-to-market is unclear and early channels are unproven. That mistakes automation for strategy. With 20 years of building and scaling startups, I use AI to accelerate learning, not replace decision making. In early GTM tests I use AI to run rapid channel experiments, generate audience hypotheses, automate creative and reporting, and keep validated channels running without heavy oversight. The result is shorter feedback loops so founders can make faster, better decisions. If you are an early-stage founder testing GTM, send me a message to schedule a free marketing audit.