Level Up Leadership reposted this
I hated today's most important book for leaders. I was forced to read The Goal, by Eli Golderatt, and I hated it. I think it may be the most valuable possible book for leaders right now. The Goal is about optimizing factory throughput. My boss, coming from running an aircraft lighting plant, wanted me to read it. As a software engineer, I thought reading about factory operations was a complete waste of time. I was wrong. I was wrong then, and more wrong today, because AI is a nearly perfect example of the problem the book addresses. The book teaches a simple idea - the "theory of constraints" - that an assembly line can only produce at the speed of its slowest step. The idea here is simple. Henry Ford famously made the Model T, his early best seller, only in black. Why? Black paint dried the fastest. By using only black, he could paint more cars more quickly. Perhaps Ford could have sped up engine or chassis assembly. But if the bottleneck was at the paint booth, all that would do is lengthen the line waiting to be painted. AI makes certain tasks much faster. But companies have not yet converted AI investment into actual business results. This book explains why. AI allows fewer engineers to crank out more code. It also accelerates some parts of testing, marketing copy generation, product prototyping, and many other things. If AI writes software much faster, but all the other parts of your company remain the same, the bottlenecks elsewhere will still hold things up. To get more results, you have to redesign the whole process, always focusing on the bottleneck steps. The CEOs counting token use are missing this point. Getting their teams to use AI does matter. But for the next few years the challenge for leaders is also going to be finding the bottlenecks where either AI does not apply at all or no one has figured out how to use it, and focusing there. Faster coding won't magically create better software products. They also need both architecture and UX design. But beyond that, they then also need sales, marketing, support, documentation, and possibly all kinds of messy physical systems where AI is currently no help at all. Take Amazon as an example. AI doesn't create more trucks or delivery drivers. It might make their routes slightly more efficient, but that isn't a big change. So all the AI in the world on the website, helping people shop and buy is good, but it won't matter unless some leader figures out trucks and warehouses to support the new scale. Even if AI helps the leader come up with the plan, you have to buy the trucks and hire the drivers. For big leaders over the next 2 to 3 years the lessons of "The Goal" can help you solve the real problem - not "AI adoption" but "more actual market results because of AI." Where do you see fast AI prototypes hitting a wall of other necessary steps, slowing the features back down to "regular" speed?