{"title":"LEADERS: LEARN FROM AI TO OVERCOME YOUR LOCAL MAXIMUM","authors":"Judah Taub","doi":"10.1002/ltl.20875","DOIUrl":null,"url":null,"abstract":"<p>The author is founder and managing partner of Hetz Ventures, one of Israel’s leading early-stage venture capital firms; and has previously served in elite commando and intelligence military units. He discusses the concept of a “local maximum,” which he describes as “a point on a field that is not the highest or the best, but it is a point from which we can only go down in order to continue further.” He outlines “three techniques and approaches used by AI – and which can be used by all of us to overcome local maximums.” Within point one, “agility can be both a function of an organization’s mindset and DNA, and the hard quantifiable metrics such as the level of CapEx (capital expenditures) versus OpEx (operating expenses).” Within point two, “we will always be limited by time. However, learning to utilize time as a variable, trading it sometimes as a buyer and sometimes as a seller, increases our potential outcome to reach a higher maximum.” And he concludes that, “as artificial intelligence continues to improve, we may find that the lessons it teaches us are more impactful than the tasks it performs.”</p>","PeriodicalId":100872,"journal":{"name":"Leader to Leader","volume":"2025 116","pages":"60-65"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leader to Leader","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ltl.20875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The author is founder and managing partner of Hetz Ventures, one of Israel’s leading early-stage venture capital firms; and has previously served in elite commando and intelligence military units. He discusses the concept of a “local maximum,” which he describes as “a point on a field that is not the highest or the best, but it is a point from which we can only go down in order to continue further.” He outlines “three techniques and approaches used by AI – and which can be used by all of us to overcome local maximums.” Within point one, “agility can be both a function of an organization’s mindset and DNA, and the hard quantifiable metrics such as the level of CapEx (capital expenditures) versus OpEx (operating expenses).” Within point two, “we will always be limited by time. However, learning to utilize time as a variable, trading it sometimes as a buyer and sometimes as a seller, increases our potential outcome to reach a higher maximum.” And he concludes that, “as artificial intelligence continues to improve, we may find that the lessons it teaches us are more impactful than the tasks it performs.”