When global supply chains are disrupted again, energy and/or compute costs will skyrocket, meaning your org may be forced to defer hardware upgrades and LLMs may no longer be cost effective (as over-leveraged AI companies attempt to recover their investment with less hardware than they'd planned.) Once this happens, it may be too late to draw on LLMs to quickly refactor your code.

If your business requirements are stable and you have a good test suite, you're living in a golden age for leveraging your current access to LLMs to reduce your future operational costs.