I'm out of the market then so I'll drop what I think will be the situation: Put everything on: cost savings, energy reduction, privacy, death of advertising.

I'm out of the market then so I'll drop what I think will be the situation: Put everything on: cost savings, energy reduction, privacy, death of advertising. Cost savings -> inefficient languages and architectures will die because the main datacentre currency is going to be performance/watt and that's going to cost serious money when transport infra is contending with DC power consumption. Things which are compiled and not interpreted will have a cost benefit then. Rust/C# (with AOT)/Go etc. Half these bloated piles of shit with expensive build toolchains will die too. Energy reduction -> linked with above, energy usage reduction is going to be a big one. That means reducing workforce, simplification and efficiency are going to be key drivers. This may kill some ML approaches off that consume a lot of energy. So ARM etc. Privacy -> Confidence in surveillance states and the cloud is declining so privacy first oriented services are going to have a huge uptick. Apple / standalone systems / new opportunities. Death of advertising -> advertising is in the death throes with AI coming in as it decreased the signal-to-noise ratio. It becomes less effective so discovery rather than promotion will be the way to get attention for your product. Portals / landing pages / software catalogues. Me I'd concentrate on cloud cost management and code efficiency and business efficiency as key areas to invest my time in.