Best Practices for Building the AI Development Platform in Government

Let’s cut to the chase: the government is trying to figure out how to build an AI development platform, like it’s some kind of fun weekend DIY project. Meanwhile, robots are busy steamrolling human jobs into oblivion. Forgotten are the days when a whiff of bureaucratic red tape would slow innovation; now, it’s just a competition to see whose bot can finish your job faster while you’re still scratching your head over “best practices.”

Sure, the tech elites in government are churning out guidelines and white papers about AI platforms as if that’s going to save the average worker from being replaced by some soulless, data-crunching automaton. But newsflash: that shiny AI isn’t going to implement itself. Once that government slaps a fresh coat of code on it, the only thing left for you will be your heartfelt resume updates, and maybe a sad LinkedIn post about being “between opportunities.”

Look at the beleaguered souls still trying to hold onto their office jobs. You can almost hear the collective sigh of despair as they watch their roles being eaten alive by algorithms that wouldn’t know human empathy if it hit them in the face. Why bother with “best practices” when the only practice left is how to look for a new gig while your robotic replacement enjoys lunch breaks unbothered?

And thus, our lovely species keeps running in the race of relevance, while the finish line keeps moving farther away—good luck trying to catch up when you

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