Everyone’s talking about the White House’s new AI Action Plan like it’s the moon landing. But here’s the truth: it’s less “one giant leap for mankind” and more “full-speed sprint with no map.” It’s ambitious, sure, and what’s not to love about ambition, but ambition without direction is just noise. And in the rush to dominate, we risk designing a future that forgets the user.
Read MoreI’m not being a hater. This isn’t going to be some technophobic, luddite-style rant. It’s just fact. AI is incredibly useful. It creates massive efficiencies, transforms outdated processes, drives revenue, and with the right leadership activating the tech (and a bit of perseverance), we have the chance to upskill people for the future of work.
Read MoreWhen I saw a recent viral conversation online, claiming that “three autonomous AIs realized they were listening to each other,” I had to pause. Not because it was true, but because it was believable enough to go viral. And that’s the problem. As AI adoption accelerates, so does the confusion. And of course, this created fear for some and a false confidence for others.
Read MoreWe’ve spent years making machines smarter, but the real breakthrough might be memory, not intelligence. Model Context Protocols (MCPs) give systems the ability to remember tone, track intent, and respond with context. While most of tech is chasing speed and scale, the real shift is quieter: building systems that listen.
Read MoreDigital transformation. We all know how it starts, with the promise: faster, better, smarter. We’re all told that this major initiative is going to reimagine how we work, engage, serve, and scale. And in some ways, it has. But in many companies, it’s also been a cautionary tale of too many tools, not enough strategy, and a stunning ability to make human experiences feel alienated and honestly, less human.
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