**Tiny AI Models Poised to Revolutionize Workplace Bullsh#& In 2025**

Move over, bloated AI behemoths draining company bank accounts—IBM has a better idea: make AI smaller, dumber, and way more budget-friendly. In an exclusive interview, an IBM VP, who was definitely not reading from a corporate-approved script, explained how “small AI” will be the savior of companies that want cutting-edge technology but can’t handle a real IT budget.

“Why pay for a Ferrari when you can get a perfectly good tricycle?” the executive asked, grinning like a man who just sold someone a floppy disk in 2024. “These scaled-down AI models are ideal for businesses that want AI-powered solutions, but don’t actually want to pay for AI-powered solutions.”

Unlike enormous language models that require terrifying amounts of computing power, electricity, and probably your firstborn, these “small AI” models will run on whatever scraps of data and processing power you can find under the office couch. IBM claims companies will finally be able to “tap into AI’s true business value”—which, translated from corporate speak, means “use AI to generate awkward PowerPoints and mediocre chat responses without bankrupting yourself.”

Tech analysts predict widespread adoption, particularly among mid-sized firms who previously thought AI was only for Silicon Valley megacorporations or government agencies spying on their text messages. “This is transformative,” said Spencer Wallace, a business consultant who now describes himself as an ‘AI Visionary’ after reading one LinkedIn post. “Imagine a future where even budget-conscious firms can use AI to generate polite corporate emails that absolutely no one will read. We’re standing on the brink of history.”

While some skeptics worry scaled-down AI means sh#&tier performance and dumber responses, IBM assures customers that these models are “just as powerful when used correctly.” One early user, Todd Reilly, a small business owner in Cleveland, reported mixed success. “I tried getting it to write a report summary, and it just spat out, ‘I’m sorry, Dave, I can’t do that.’ I’m not even named Dave.”

Still, IBM remains optimistic. “Big AI had its time,” the VP declared proudly. “But now it’s about being lean, efficient, and, most importantly, cheap.”

Next up for IBM? Even tinier AI models you can run on a toaster oven.