@aiwithmayank Fantastic thread Mayank. judgement, clear thinking and deep work are the skills we need to protect now that raw output is cheap. Can I chat with you on my podcast?
There are far more categories where AI agents making things more efficient will induce demand for that skill than spaces where agents eliminate the work. This is why the AI jobs predictions will not play out as advertised.
AI making it easy to produce more code will mean we start to apply code to far more parts of our businesses. We will build automation and software for things that wouldn’t have made sense before. Marketing automation, client onboarding, modernizing old systems, doing far more research on existing data, and more. More engineers.
Far more software will mean vastly more security risks. This will mean far more people thinking through system security, compliance, and governance. This used to be primarily manual and only large companies could afford this work. AI will make it so more companies care about this (and maybe can do something about it), causing more security roles.
AI will also lower the cost of a bunch of previously relatively niche or harder to access categories of work. Companies will now be doing 10X more with video and graphics, and will need people to manage that work. More media. We’re going to have a near unlimited set of legal challenges in a world of AI as AI helps write even more bespoke and complicated legal docs. More lawyers.
Then there’s the impact of AI efficiency on non-office worker jobs. Talked to a customer that said they’re going to make scheduling medical appointments and getting referrals so efficient the next problem will be there will be no booking time slots available. More healthcare. Many industries will have this same dynamic play out.
The examples are endless once you start to think through second order effects of agents making work more efficient.
Business operators: learn how to use AI or get beaten in *every* *single* deal by your competitors on pricing, quality, and speed of delivery.
Why?
Terafab goes live = massively more compute available + recursive self improvement + algorithmic efficiency = Opus 4.6 looks like a pocket calculator
Use it or cease to exist. Ouch.
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Also: Has anyone here actually gotten OpenClaw to recursively self-improve?
If you have, how did you set it up?
What was it improving?
What loop did you build?
What actually worked?
And where did it fall over?
Has anyone here actually opened openclaw up to their full inbox, LinkedIn, X, messages, and DMs?
Curious what youve seen once it had access to the real stuff.
What improved?
What broke?
What was unexpectedly useful?
Would you do it again?