And presumably not just SGX, but also the funding goes to future development in confidential computing hardware platforms as well (Intel TDX, ARM Realms, NVIDIA Confidential Computing, etc.). As you mentioned in another comment, there are lots of flavors from different vendors. Intel SGX is notoriously difficult to implement, and the newer Confidential Computing architectures like AMD SEV-SNP make different trade-offs towards ease-of-use.
Every modern smartphone user benefits from the mobile flavors of confidential computing today, protecting biometrics or mobile pay wallets with implementations like Apple's Secure Enclave or Samsung Knox (based on ARM TrustZone).
Every modern smartphone user benefits from the mobile flavors of confidential computing today, protecting biometrics or mobile pay wallets with implementations like Apple's Secure Enclave or Samsung Knox (based on ARM TrustZone).
It protects from real attacks seen in the wild. For example, Volt Typhoon (state-level actor) as reported by CISA https://www.cisa.gov/news-events/cybersecurity-advisories/aa... , or the attack against CircleCI in 2023 as I wrote in https://www.anjuna.io/blog/memory-dumping-attacks-are-not-ju... .