"Across every industry, organizations are investing heavily in the potential of artificial intelligence to reshape how they operate and grow. Nearly 80% of executives expect AI to significantly contribute to revenue by 2030, yet only 24% know where that revenue might come from. This isn't an awareness gap. It's an architecture gap. The companies already capturing AI's value aren't waiting to discover it through pilots and proofs-of-concept."
"They're engineering it through deliberate choices about how work gets designed, how human and digital workers come together, and how productivity savings are reinvested. From our work with enterprises across every major industry, a clear divide is emerging. Some organizations are bolting AI onto legacy workflows and gaining marginal productivity. Others are redesigning how value gets created and building growth trajectories competitors can't replicate.By 2030, this won't be just a short-term positioning advantage. It will determine who remains in business."
Nearly 80% of executives expect AI to contribute materially to revenue by 2030, while only 24% know the revenue sources, revealing an architecture gap. Organizations capturing AI value make deliberate architectural choices about work design, human-digital collaboration, and reinvestment of productivity gains. A divide is emerging: some firms bolt AI onto legacy workflows and see only marginal productivity; others redesign how value is created and build nonreplicable growth trajectories. By 2030 these architectural choices will determine long-term viability. AI-first approaches start by defining desired outcomes and combining human judgment with AI capability, exemplified by Nestl e9's enterprise-level architecture efforts.
Read at Fortune
Unable to calculate read time
Collection
[
|
...
]