「作ればユーザーは来る」という罠をどう乗り越えるか?
技術力の高い開発ツールが4ヶ月経っても約30ユーザーしか集まらない現実から、技術系起業家が陥りがちな「コード最適化優先、マーケティング後回し」の構造的問題を考察。製品開発から実際の流通・普及へのマインドセット転換を成功させた経験者からの実践的アドバイスを求める。
技術力の高い開発ツールが4ヶ月経っても約30ユーザーしか集まらない現実から、技術系起業家が陥りがちな「コード最適化優先、マーケティング後回し」の構造的問題を考察。製品開発から実際の流通・普及へのマインドセット転換を成功させた経験者からの実践的アドバイスを求める。
Job seekers face a tough environment, but widespread AI-caused job losses have been overblown so far. Instead, AI is creating demand for workers with AI skills, while those who don't adapt may face replacement. Companies are building smaller, AI-native teams as AI makes individuals more productive.
The article examines how 4,000 companies faced a disruptive technology in the early 20th century, with only one surviving. It explores why leaders often fail to adapt to technological changes that threaten their existing business models.
Andrew Ng writes from the World Economic Forum that businesses need to move beyond incremental AI efficiency gains to achieve transformative impact. He argues that workflow redesign, rather than isolated AI projects, is key to creating significant business value, using loan processing as an example where end-to-end changes can transform product offerings.
The business model of syndicating first-run content to TV stations to fill airtime appears to be declining in importance. This traditional television distribution method may be losing its former prominence.
The article argues that people actually love to work hard when given clear goals, shared values, autonomy, and trust. It criticizes the common narrative that workers are lazy, suggesting instead that poor motivation often stems from dehumanizing work conditions and lack of meaningful purpose.