Hugh Molotsi

  This article was first published on LinkedIn . In today's ever-evolving technological landscape, the rise of generative AI marks a pivotal moment. We are on the brink of a groundbreaking era where the rise in AI is having a profound impact on the way we work. Among these strides, ChatGPT emerges as a revolutionary force, boasting capabilities that were once confined to the realms of science fiction. However, as with any groundbreaking technology, alongside its promises, risks loom large. The potential impact of generative AI surpasses mere novelty; its influence might rival or even exceed that of the internet and smartphones. Concerns linger, especially regarding AI's effect on employment. Venture Capitalist  Vinod Khosla predicts  that AI will be able to replace 80% of all jobs in the next 10 to 20 years. This echoed worries expressed by UN Secretary General António Guterres in his  statement at the UK AI Safety Summit  that “AI will further exacerbate the en...

 I co-authored this article with Ben Hafele and it was first published on the  Lean Startup Co. Blog . Recently, Sanchin Rekhi published “The 4 Major Problems With the Lean Startup Methodology”. His article shares a critique of Lean Startup based on his own startup experience. He summarizes the method’s problems this way: It encourages agnostic experimentation instead of starting with a compelling strategy It stresses the need for minimum viable products (MVPs), which can lead to failing too fast It results in developing incremental products, not product innovations It overemphasizes product development instead of a deliberate focus on growth It would have been better if Sanchin had titled his article “4 Misapplications of the Lean Startup”, as the four problems above are clearly not a result of  Lean Startup itself, but rather are driven by misconceptions about it. In this post, we’ll respond to these misapplications by sharing best practices so you can avoid these mista...