technology
PushButton AI Team ·
Everyone says finding your "first AI win" is the answer. But what if the real problem isn't picking the right tool—it's that the tools aren't even designed for businesses like yours? I get it. You've sat through webinars that turned into pitch-fests for $15K courses. You've heard the hype about AI transformation while watching Big Tech make it more confusing by the day. Here's what an Oxford scholar just revealed that changes everything: The largest AI companies are locking up data licensing deals that only they can afford. This creates a system where AI tools are built for enterprise giants, not mid-market businesses with real-world constraints. China is responding by making more data available to smaller firms at lower costs. The result? AI solutions that actually match how small and medium businesses operate—not how Fortune 500 companies do. This explains why that $25K AI implementation felt like forcing a square peg into a round hole. It wasn't built with your business model in mind. Before investing in your next AI tool, ask the vendor one question: "Was this trained on data from businesses my size, or scaled down from enterprise use cases?" That answer will save you more money than any webinar ever could. What's been your biggest frustration when evaluating AI tools for your business? #AIForBusiness #SmallBusinessAI #AIImplementation #BusinessTechnology
Everyone says finding your "first AI win" is the answer.
But what if the real problem isn't picking the right tool—it's that the tools aren't even designed for businesses like yours?
I get it. You've sat through webinars that turned into pitch-fests for $15K courses. You've heard the hype about AI transformation while watching Big Tech make it more confusing by the day.
Here's what an Oxford scholar just revealed that changes everything:
The largest AI companies are locking up data licensing deals that only they can afford. This creates a system where AI tools are built for enterprise giants, not mid-market businesses with real-world constraints.
China is responding by making more data available to smaller firms at lower costs. The result? AI solutions that actually match how small and medium businesses operate—not how Fortune 500 companies do.
This explains why that $25K AI implementation felt like forcing a square peg into a round hole. It wasn't built with your business model in mind.
Before investing in your next AI tool, ask the vendor one question: "Was this trained on data from businesses my size, or scaled down from enterprise use cases?"
That answer will save you more money than any webinar ever could.
What's been your biggest frustration when evaluating AI tools for your business?
#AIForBusiness #SmallBusinessAI #AIImplementation #BusinessTechnology
“If only the very large AI companies can afford data licenses,” he ... By making more data available to smaller firms at low cost, China ...