About this episode
Congratulations on making it through another week and half way through 2025. This week’s episode is a bit of a throwback. If you don't remember or are new here, in January I laid out my top 10 realistic predictions for where AI, emerging tech, and the world of work were heading in 2025. I committed to circling back mid-year, and despite my shock at how quick it came, we’ve hit the halfway point, so it’s time to revisit where things actually stand.If you didn't catch the original, I'd highly recommend checking it out. Now, some predictions have held surprisingly steady. Others have gone in directions I didn’t fully anticipate or have escalated much faster than expected. And, I added a few new trends that weren’t even on my radar in January but are quickly becoming noteworthy.With that, here’s how this week’s episode is structured:?Revisiting My 10 Original PredictionsIn this first section, I walk through the 10 predictions I made at the start of the year and update where each one stands today. From AI’s emotional mimicry and growing trust risks, to deepfake normalization, to widespread job cuts justified by AI adoption, this section is a gut check. Some of the most popular narratives around AI, including the push for return-to-office policies, the role of AI in redefining skills, and the myth of “flattening” capability growth, are playing out in unexpected ways.?Pressing Issues I’d Add NowThese next five trends didn’t make the original list, but based on what’s unfolded this year, they should have. I cover the growing militarization of AI and the uncomfortable questions it raises around autonomy and decision-making in defense. I get into the overlooked environmental impact of large-scale AI adoption, from energy and water consumption to data center strain. I talk about how organizational AI use is quietly becoming a liability as more teams build black box dependencies no one can fully track or explain.?Early Trends to WatchThe last section takes a look at signals I’m keeping an eye on, even if they’re not critical just yet. Think wearable AI, humanoid robotics, and the growing gap between tool access and human capability. Each of these has the potential to reshape our understanding of human-AI interaction, but for now, they remain on the edge of broader adoption. These are the areas where I’m asking questions, paying attention to signals, and anticipating where we might need to be ready to act before the headlines catch up.?If this episode was helpful, would you share it with someone? Also, leave a rating, drop a comment, and follow for future breakdowns that go beyond the headlines and help you lead with clarity in the AI age.—
