The conventional wisdom that artificial intelligence will reduce engineering jobs is challenged by the observation that each "step function improvement" in AI technology creates new human bottlenecks. These bottlenecks are not in rote tasks but in areas requiring human judgment, oversight, and complex problem-solving, thereby increasing the demand for skilled engineers to manage and refine AI systems. Additionally, the current AI market is undergoing a fundamental, long-term secular shift that will profoundly change human life, rather than being a temporary economic bubble, even if some company valuations appear "frothy" due to widespread experimentation.
AI will increase, not decrease, the demand for engineers due to human bottlenecks
The conventional wisdom that AI will reduce engineering jobs is challenged by the observation that each 'step function improvement' in AI technology creates new human bottlenecks. These bottlenecks are not in rote tasks but in areas requiring human judgment, oversight, and complex problem-solving, thereby increasing the demand for skilled engineers to manage and refine AI systems.
My strong assumption is moving forward that we will actually need more engineers, not less.
The ego trap: why founders stay too long in the wrong business
The 'ego trap' manifests when founders prioritize the status of being their own boss over the pursuit of new knowledge and opportunities. This can lead to prolonged engagement in ventures that, while initially successful, cease to align with their evolving career goals or offer substantial learning experiences.
Such decisions, driven by ego rather than a strategic focus on growth, are identified as significant career mistakes.
I stayed on there because I had this ego that I will never work for someone else.
The AI market represents a secular shift, not a bubble, despite experimental frothiness
While there might be overvalued companies due to the natural experimentation that accompanies any major platform shift, the underlying transformation driven by AI is a permanent change in how people live. This distinction is crucial: a bubble implies the questioning of the shift itself, which is not the case for AI's foundational impact.
Trusted delegation to AI systems is paramount for market leadership and avoiding failure
As AI systems become more integrated into work and personal life, the willingness of users to delegate significant responsibilities to them hinges entirely on trust. Without robust security, transparency, and reliability, AI systems will not be adopted, leading to market irrelevance.
The difference between trusted and untrusted delegation is framed as the difference between market leadership and 'complete abject bankruptcy. '
Cisco's top-down mandate for AI adoption: use it or lose your job
To ensure widespread AI integration and overcome potential resistance, Cisco explicitly informed its employees that failure to use AI would result in job loss. This strategy aimed to force familiarity and skill development with AI tools, rather than focusing on immediate efficiency metrics, which often hinder initial adoption.
We guaranteed our employees that if you don't use AI, you will lose your job.