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- Citi sees 50% of finance jobs going away, Accenture sees strong AI demand, and to fries go with those 260 McNuggets?
Citi sees 50% of finance jobs going away, Accenture sees strong AI demand, and to fries go with those 260 McNuggets?
AI for Pros: Navigating the Ever-Evolving Landscape of Artificial Intelligence in Business and Employment
A Note From Malcolm
Innovation is hard. Cutting costs is relatively easy. Particularly for big companies.
This is why GenAI adoption - inside the Fortune 500 - is following the classic two-step: 1.) make the known more efficient and then 2.) create the unknown.
For veterans of past tech waves, this pattern is well-established. Early on, a "poster child" captures the public imagination – Dell in the client-server era, Cisco with the internet, Apple with mobile, AWS with cloud computing, and now NVIDIA with GenAI.
These examples distract us from the bigger picture (and spend) going on inside established companies with important charters, such as delivering better healthcare or building safer cars. Such companies, due myriad constraints (e.g., regulations, labor, process focus, and culture), aren’t built for rapid innovation.
However, they’re great at ripping out costs. That’s now very clear with GenAI, with a growing focus on areas such as customer service, legacy IT, R&D and marketing.
Will we someday get healthcare with AI-driven hyper-personalization and self-driving flying cars designed by bots? Maybe. But in the next couple of years the majority of spend will be on the “boring” stuff: making existing processes better, faster, cheaper with AI. And that may mean more jobs are shed before new ones are created.
With that lens, here are some highlights from the past week at the intersection of enterprise AI and work:
Tool of the Week: PeerAI
A comprehensive suite of AI tools designed to enhance the development process including Migration Copilot, which facilitates seamless migration of legacy applications to modern, cloud-native technology stacks
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