Post by Topcoder

78% of global companies are using AI in at least one business function. But here’s what most leaders won’t say out loud: AI is not the problem. 👉 Implementation is. Because while adoption is high, execution at scale is where companies are failing. - Internal teams lack specialized expertise - AI experiments never move beyond pilot phase - Models are built… but not properly validated, stress-tested, or production-ready - Innovation slows down due to resource constraints This is exactly where platforms like Topcoder are redefining how AI gets delivered. Instead of relying on a single internal team, Topcoder enables organizations to: 🔹 Tap into a global, competitive talent network 🔹 Solve complex AI and engineering challenges faster 🔹 Validate solutions through real-world competition 🔹 Scale execution without scaling fixed teams This shifts AI from: “We’re trying something…” to “We’ve built something that works.” Because the future isn’t just about adopting AI. It’s about how efficiently you can turn AI into production-ready outcomes and that requires a different model of execution. That’s where most companies are quietly falling behind. What do you think is the biggest blocker to scaling AI in organizations today? Tony Jefts Sandhya Ramachandran Arun Kunal Chadha Wipro