If you want a laptop to actually run AI/ML/RL workloads that would benefit from a graphics card, you're better off optimizing your search for decent specs, no dedicated GPU, portability and good battery life, and spending the money on a powerful desktop setup instead. Your workflow can look like this:
1 - design experiments on laptop or use laptop to remote into desktop with GPU 2 - scale experiments on desktop with GPU till you reach a point where it's maxed out 3 - use Google co-lab with GPU or Paperspace or other similar services (usually offer a free tier for experimentation) 4 - scale on cloud if you really want to parallelize
If you have no choice but to buy only a laptop due to budget, I still think you'd be better off purchasing a laptop without a dedicated GPU and going for points 3/4 above. Seriously, the gains from using an RTX on a laptop are just not worth the cost.
The benefit of using colab or other types of cloud services, is that your investment is low to 0 and will allow you to determine if you actually should invest in your own dedicated hardware.
The advantage of these resellers is that they're more responsive to non- standard requests if you really know what you want and are willing to pay for it. In Origin's case, I remember a time where you could have a liquid cooled Xbox 360 or PS3 built right into your desktop computer! I don't know how much things have changed since then, but, with regards to purchasing monstrously powerful laptops, you have as much say as your wallet does.
I got a Serval I thoroughly enjoy. Even with a 2070 and a Ryzen 3950. I'm not sure as to whether they've got any more up to date AMD offerings slated for the 5xxx line of Ryzen's and 3xxx Nvidia cards; but if they deliver the same build quality, come upgrade time, I know who I'll be looking into for purchasing from. Had no issues with my blowtorch yet.
Bonus point: the cats are more than content to sleep behind or beside it instead of on the keyboard.
Power supply for this thing is like 2 bricks with cords.
Just to reiterate, its shocking how much better the M1 chip is.