{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69da8fd8d3f0dd774740a2d3/69e6937a23929c3a2a36eecb?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"The Leafs Lab Ep. 2: AI, GM Candidates, and the Craig Berube Problem","description":"<p>In this week’s episode of&nbsp;<em>The Leafs Lab</em>, we break down one of the most chaotic weeks surrounding the organization—touching on everything from front office shakeups to AI’s growing influence on decision-making.</p><p><br></p><p>We start with a deep dive into the Leafs’ GM search, comparing the candidacies of John Chayka (3:14) and Ryan Martin (23:05), with both emerging as some of the hottest names in the mix. </p><p><br></p><p>From there, we shift to the bench, taking a hard look at Craig Berube’s failures this season (32:43)—examining the systemic issues, lack of adjustments, and the numbers that paint a concerning picture.</p><p><br></p><p>To lighten things up, we head into “Fantasy Land” (41:40), throwing out creative trade ideas and exploring what bold, outside-the-box roster moves could look like.</p><p><br></p><p>We then unpack the role of Keith Pelley and the growing influence of AI within the organization (52:10), separating fact from fiction and discussing how data and innovation could shape the Leafs’ future.</p><p><br></p><p>Finally, we wrap up with a fun “Would You Rather: Leafs Edition” segment (1:00:00).</p>","author_name":"Willyston Reillander"}