AI Is Too Expensive. AI Is Free. AI Is Taking All the Jobs. Humans can’t be replaced. Which Is It?
If your AI news feed is giving you whiplash, you're not alone.
In this special AI Mythbusters episode of The STEMINISTS Podcast, hosts Phoebe Goh and Mekka Williams put some of the biggest AI headlines under the microscope and aren't afraid to call out where hype is masquerading as fact.
First up: Is free AI really disappearing? Phoebe and Mekka unpack the reality behind "free" and "freemium" AI services, exploring the hidden costs of compute, the tradeoffs around privacy and data usage, and why the future may belong to smaller, smarter, and more efficient AI models not just the biggest ones.
Then they tackle a myth that's dominating boardrooms everywhere: Is AI actually cheaper than human labor? From data center investments and infrastructure costs to training, governance, process redesign, and the ongoing need for human oversight, they reveal why comparing AI to people isn't nearly as simple as the headlines suggest.
Along the way, they make the case for something that never goes out of style: good data practices. Because whether you're all-in on agents and automation or just experimenting with AI, success still starts with knowing your data, protecting it, and managing it well.
Expect myth-busting, practical insights, a few laughs, and a refreshing reminder that in the race toward AI adoption, humans are still very much part of the equation.
Why "free" AI isn't really free The real economics of AI compute and infrastructure Data privacy, security, and governance Human-in-the-loop AI and agentic workflows Small models vs. massive models Building a data strategy that survives the hype cycle And remember: if an AI headline sounds too dramatic, too optimistic, or too terrifying to be true... it probably deserves a little myth-busting of its own. As always, please remember to like, follow and share.
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