What’s Next
For many organizations, the underlying motivation for change is cost. That cost pressure could be an organization-wide optimization program, or it could be something like the rising cost of talent in a specific location. We’re seeing this scenario play out often in our advisory work as rising labor costs in many locations collide with a downturn in business elsewhere in the world. And this is before we’ve started to see any true impact of generative AI on productivity and cost.
As we’ve discussed at length, providers are promising 30%-60% cost reduction due to generative AI. While we have not yet seen this level of cost reduction reflected in contracts, it’s likely just a matter of time until it starts to make a significant impact on areas like functional requirements development, code generation and code refactoring. A similar pattern will happen in BPO in areas centered around understanding language and the underlying sentiment – for example, in customer experience.
And, when this happens, it will drive down prices for these services – and the underlying benchmarks for “in-market pricing.” This cost reduction opportunity will put even more pressure on GCCs that primarily exist to drive efficiency and cost arbitrage back to their parent organization.
And speaking of AI, we’re hosting our inaugural
AI Impact Summit in London on September 9 and 10. It will be jam-packed with use cases, new research and lots of networking opportunities. We hope you can join us.