My view is that it will be some time before they can as well because of the success in the software domain - not because LLM's aren't capable as a tech but because data owners and practitioners in other domains will resist the change. From the SWE experience, news reports, financial magazines, etc many are preparing accordingly, even if it is a subconscious thing. People don't like change, and don't want to be threatened when it is them at risk - no one wants what happened to artists and now SWE's to happen to their profession. They are happy for other professions to "democratize/commoditize" as long as it isn't them - after all this increases their purchasing power. Don't open source knowledge/products, don't let AI near your vertical domain, continue to command a premium for as long as you can - I've heard variations of this in many AI conversations. Much easier in oligopoly and monopoly like domains and/or domains where knowledge was known to be a moat even when mixed with software as you have more trust competitors won't do the same.
For many industries/people work is a means to earn, not something to be passionate in for its own sake. Its a means to provide for other things in life you are actually passionate about (e.g. family, lifestyle, etc). In the end AI may get your job eventually but if it gets you much later vs other industries/domains you win from a capital perspective as other goods get cheaper and you still command your pre-AI scarcity premium. This makes it easier for them to acquire more assets from the early disrupted industries and shield them from eventual AI taking over.
I'm seeing this directly in software. Less new frameworks/libraries/etc outside the AI domain being published IMO, more apprehension from companies to open source their work and/or expose what they do, etc. Attracting talent is also no longer as strong of a reason to showcase what you do to prospective employees - economic conditions and/or AI make that less necessary as well.
For many industries/people work is a means to earn, not something to be passionate in for its own sake. Its a means to provide for other things in life you are actually passionate about (e.g. family, lifestyle, etc). In the end AI may get your job eventually but if it gets you much later vs other industries/domains you win from a capital perspective as other goods get cheaper and you still command your pre-AI scarcity premium. This makes it easier for them to acquire more assets from the early disrupted industries and shield them from eventual AI taking over.
I'm seeing this directly in software. Less new frameworks/libraries/etc outside the AI domain being published IMO, more apprehension from companies to open source their work and/or expose what they do, etc. Attracting talent is also no longer as strong of a reason to showcase what you do to prospective employees - economic conditions and/or AI make that less necessary as well.