AI went mainstream in 2025, and not always for the right reasons. In this New Year’s special, David Gleason and Peter Memon look back at the breakthroughs, blunders, and buzzwords that defined the year in tech. From the rise of “workslop” and overhyped AI agents to energy grid strain and questionable layoff excuses, the hosts offer sharp insights and bold predictions for 2026. If you're trying to understand where AI is headed next, this episode is your starting line. We help you go beyond th...
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AI went mainstream in 2025, and not always for the right reasons. In this New Year’s special, David Gleason and Peter Memon look back at the breakthroughs, blunders, and buzzwords that defined the year in tech. From the rise of “workslop” and overhyped AI agents to energy grid strain and questionable layoff excuses, the hosts offer sharp insights and bold predictions for 2026. If you're trying to understand where AI is headed next, this episode is your starting line. We help you go beyond th...
What does Microsoft’s latest AI research paper really say about the future of jobs—and why did the headlines get it so wrong? In this episode, David and Peter break down the most misunderstood AI study of the summer. They dive into the concept of AI “applicability scores,” challenge the doom-and-gloom media narrative, and explore when (and if) AI use should be disclosed in art, hiring, and customer interactions. A must-listen for leaders trying to separate AI hype from substance and stay ahea...
Call Me Data by All In On Data
AI went mainstream in 2025, and not always for the right reasons. In this New Year’s special, David Gleason and Peter Memon look back at the breakthroughs, blunders, and buzzwords that defined the year in tech. From the rise of “workslop” and overhyped AI agents to energy grid strain and questionable layoff excuses, the hosts offer sharp insights and bold predictions for 2026. If you're trying to understand where AI is headed next, this episode is your starting line. We help you go beyond th...
