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How AI Will Change Cross-Functional Work

Knownwell

If more than 80% of the average worker’s time is spent on collaborative, cross-functional work, and AI is going to change the world of work forever, how is AI going to change cross-functional work?

David DeWolf, Mohan Rao, and Courtney Baker dive into this stat and consider how AI may be used in the near future to drive more efficient cross-functional collaboration via a mix of knowledge management, talent acquisition, and an operating model that makes the discussion around where work actually gets done (remote, in-office, hybrid) feel like a total relic of the past.

Much of the world of work today still operates in a kind of manufacturing, top-down, command-and-control type of environment with numerous different siloes in an organization. The team discusses a reimagined, revolutionized world of work where a confluence of events—the advent of AI, a globalized workforce, the rise of the gig economy, etc.—create a new operating model for businesses that previously just wasn’t possible.

Chief Strategy Officer Pete Buer also talks with Robert Brill, CEO of Brill Media, about how his company has already incorporated AI into much of the work they do as a white-label media buying agency. Work they’ve trained artificial intelligence to perform includes developing a custom chatbot for ad copywriting that can scrape a company’s website and then create variations of ad copy that is tailored to all the major ad platforms, including Google AdWords, Meta, LinkedIn, TikTok, and other kinds of display ads. The result? They’ve condensed down to around 20 minutes an information gathering and writing process that used to take days or weeks for humans to do.

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In the News Highlights

  • Courtney and Pete kick the episode off with a look at some of the latest AI news, including a Wall Street Journal article with the headline of AI Talent is in Demand as Other Tech Job Listings Decline
  • Pete’s takeaways for business leaders? The old war for talent rules most definitely apply in the AI era. With competition for AI talent only getting tougher, leaders need to look at everything from re-skilling existing staff to sourcing and recruiting new talent, to rethinking their mix of employees and contractors, all while doubling down on retention and engagement
  • They also break down a Bloomberg article titled JPMorgan’s AI-Aided Cashflow Model Can Cut Manual Work by 90%.
  • Pete sees this kind of experimentation as the AI 1-2 punch of the future, where companies first explore game-changing ways of deploying artificial intelligence to ensure there’s a market for it, then begin charging clients a licensing fee to use it once sufficient evidence has been demonstrated for its potential and demand has been established for a need

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