Yes, but if a customer is not *quite* satisfied with an AI generated result, how well can the AI be instructed to make changes? If you give it slightly modified instructions the entire generated image may be drastically changed. To follow iterative, incremental instructions we would need generalized AI
I believe there will still be a need for high-performing graphics designers and illustrators for that very purpose of interacting with the AI. But, that too will get automated as we get closer to AGI.
Even if we automate just the bottom half of graphics designers, there is not enough new work for them to take on. Thus, replacing human labor with AI labor. Expand that to content writers, customer service reps, etc. We live in unprecedented times!
Consider Jevon's Paradox. Increasing the efficiency with which graphics can be produced may also increase demand for graphic design - smaller businesses which could never have afforded a full-time graphic designer can now get an 80% solution for 20% of the cost. All the towers of abstraction which have made software development radically more efficient compared to the days of punchcards and assembly haven't put programmers out of business, they've instead expanded the scope of businesses that can employ programmers.
Thanks for reading and sharing your thoughts! Jevon's paradox seems essentially the same as the concept of 'induced demand'. Maybe consider this thought experiment. Is there a tipping point? A 10% efficiency gain in the graphic design field can be covered up to your point. What about 50%? What about 90%? 95%?
I could be wrong, but I really doubt there will be enough induced demand for graphics designers and content writers to more than make up for the loss of jobs. For example, if those jobs decrease by 75%, I don't think new ideas and opportunities will sprout up to gobble up those without a job? Time will tell.
Yes, but if a customer is not *quite* satisfied with an AI generated result, how well can the AI be instructed to make changes? If you give it slightly modified instructions the entire generated image may be drastically changed. To follow iterative, incremental instructions we would need generalized AI
I believe there will still be a need for high-performing graphics designers and illustrators for that very purpose of interacting with the AI. But, that too will get automated as we get closer to AGI.
Even if we automate just the bottom half of graphics designers, there is not enough new work for them to take on. Thus, replacing human labor with AI labor. Expand that to content writers, customer service reps, etc. We live in unprecedented times!
Consider Jevon's Paradox. Increasing the efficiency with which graphics can be produced may also increase demand for graphic design - smaller businesses which could never have afforded a full-time graphic designer can now get an 80% solution for 20% of the cost. All the towers of abstraction which have made software development radically more efficient compared to the days of punchcards and assembly haven't put programmers out of business, they've instead expanded the scope of businesses that can employ programmers.
Thanks for reading and sharing your thoughts! Jevon's paradox seems essentially the same as the concept of 'induced demand'. Maybe consider this thought experiment. Is there a tipping point? A 10% efficiency gain in the graphic design field can be covered up to your point. What about 50%? What about 90%? 95%?
I could be wrong, but I really doubt there will be enough induced demand for graphics designers and content writers to more than make up for the loss of jobs. For example, if those jobs decrease by 75%, I don't think new ideas and opportunities will sprout up to gobble up those without a job? Time will tell.