Distributed teams should be inclusive, fun to work in, and a complement to our personal lives.
The future of remote, distributed knowledge work is ‘asynchronous’.
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Most executives are reaching for ways to become an AI-first organisation, but many of them are missing the productivity power up that’s hidden in plain sight – asynchronous collaboration. Not only does asynchronous collaboration free up unproductive time for workers, it helps create the digital exhaust of knowledge that LLMs can feed on.
The unpredictable nature of generative AI can often feel as addictive as gambling. Addictive services often get enshittified, and can also be candidates for a classic bait-and-switch.
As the circular funding economy of AI becomes more transparent, innovation slows and costs increase, it may help us all to temper our AI enthusiasm. There are many indications that the current state of generative AI is neither essential nor as transformative as the frontier AI companies will have us believe. If anything we could make the case that generative AI is a net negative for most stakeholders.
AI is a now a significant contributor to the broader trend of enshittification. The market is full of AI-powered products, features and code that are costlier to use and run and often counter productive for the end users.