Davis Filippell’s Post

Sports investors aren't in it to win trophies 🏆 Instead, they often generate returns by *buying low* and *selling high* Case in point: Boston Celtics ownership group is exploring a sale just weeks after bringing home a championship. And they're not the only ones who follow this trend. Here are 3 NBA owners who bought at the *low* and have looked to sell at the *high,* plus how to follow this same insight as you build your career in sports👇 🏆 1. In 2022, Golden State Warriors minority owner Chamath Palihapitiya announced the sale of his minority stake just 19 days after the team took home the NBA championship. The VC investor had been a minority owner for 11 years, buying in after a 26 win, 56 loss season, Stephen Curry's sophomore year. 🏆 2. In 2023, Milwaukee Bucks Inc. owner Marc Lasry completed the sale of his 25% stake to Haslam Sports Group, two years after the Bucks won the NBA title in 2021. The deal that valued the team at $3.2B. Lasry purchased his stake in 2014, following a 15 win, 67 loss season, the worst record in the NBA. 🏆 3. Yesterday, Boston Celtics ownership group, led by Wyc Grousbeck, plans to make the franchise available for sale, according to ESPN's Adrian Wojnarowski. During their 22 year ownership, the team won an NBA title in 2008 and now again in 2024. The group purchased the team in 2002, following a 36 win, 46 loss season. In each case, winning the NBA trophy was not a point of validation to stay, but rather a catalyst to sell! __ The common thread: each of these investors purchased the team following years that were significantly below .500. By starting *low,* they had opportunity to make improvements, show progress, and reap the reward. If you're building your career in the sports industry, *buy low, sell high* is an equally applicable strategy. 💡 Joining an organization that happens to sit at the bottom of the standings gives you the opportunity to show creativity and innovation in whatever function you lead -- fan engagement, community outreach, marketing, operations, and more! Organizations that struggle *on the field* force you to sharpen your skills *off the field,* and can help you stand out from peers whose teams might "sell themselves." __ ⭐️ Explore 200+ open jobs at National Basketball Association (NBA) teams (from the top of the league to the bottom!) on TeamWork Online: https://lnkd.in/gGzNc8ej What examples of sports owners who *buy low, sell high* can you add to this list? Or, have you found career success using the *buy low, sell high* strategy? If so, would be great to hear your story in the comments ⬇️ 💬

5 insights from Edmundo Ortega on how to use AI to stand out in the sports industry 🤖 ⤵ 1️⃣ If you’re looking to transition into the sports industry, consider asking an AI service (e.g., ChatGPT, Claude) what *skills* will be valuable in that specific position? (link to the job for help) 2️⃣ If you used AI to develop a report or analysis, *highlight what you created with AI* and describe how you used AI to create it. Your manager or client will likely be impressed at your ability to use new tech. 3️⃣ If you're using AI to help generate ideas, *include reference links* to tailor the output. Our example ("develop a theme night for the Wisconsin Timber Rattlers") was greatly enhanced by a link to the team's Wikipedia (see screenshot) 4️⃣ The more important/critical the output is, the more that you need to *check the AI's output*. Remember that AI models are predicting based on available data, and they may "confidently" suggest inaccurate info. 5️⃣ Regardless of your intended use, spending 5 min per day to *build a habit* of using AI will help you unlock opportunities to discover new use cases. __ Ed shared these insights with during a Section x TeamWork Online *Intro to AI - Lightning Lecture* this Wednesday, which highlighted how to you can take your first steps toward AI mastery. 🏆 And while most people are "sitting on the couch" and waiting for AI to impact their industry (which it will, including in sports!), kudos to all attendees who joined this virtual event, took the opportunity to learn and get *ahead* of the change! Also, the comment thread was on fire throughout the event! Shout out to attendees for participating and engaging with one another. 🙏 And thank you to Rachel Fields, Rebecca Fernandez, Ana Flávia Silva, Edmundo Ortega, Gregory Shove, and the entire team at Section for your partnership to put on this event! __ 🧠 Explore more AI courses via a Section membership: https://lnkd.in/dgRs7MVD If you want to register, add a comment and I'll DM you a discount code reserved for members of TeamWork Online's community. How are you using AI in your daily work? Or, what insight on how to best use AI stands out most to you? ⬇️ 💬