| How different types of debt are preventing companies from unlocking AI value. |
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Thursday’s back! Hackathons aren’t just for developers anymore: AI is now allowing people from every department, including HR, to stress out about minor features build exciting new products. In today’s edition: 🤖 Debt level ⚖️ AI law 🚢 Bigger shipping —Brianna Monsanto, Billy Hurley |
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IT STRATEGY Debt crisis  Anna Kim | Like the lucky mystery briefcase on Deal or No Deal, enterprise debt is standing between global companies and a large sum of money. According to a new report from Genpact in partnership with HFS Research, 85% of companies admit that enterprise debt is “actively limiting” the value they can extract from AI by creating an unstable foundation for such projects to succeed. The report, based on a study of 2,002 global enterprise executives from 16 industries, concluded that a cumulative total of about $18 trillion in “potential value” is left on the table for Global 2000 companies as a result of unaddressed debt. (Genpact calculated this value by using estimates from respondents of how much money they believed their organization would save by addressing each enterprise debt to estimate impact across all Global 2000 companies.) Debt types, explained.—BM |
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IT STRATEGY Legal ease  Nick Iluzada | Raul Gastesi, founding partner at law firm Gastesi Lopez Mestre & Cobiella, was up in the air—and so was the lawsuit he was trying to file. Just over a year ago, while aboard a flight, Gastesi had everything he needed to write that lawsuit, including attachments, invoices, and demand letters. Instead of emailing them off to a junior clerk, though, he turned to the LexisNexis AI platform. The prompt went a little something like: I want to file a lawsuit in Broward County Circuit Court. See the attached letter with the invoices. “And boom, it printed up a complaint,” Gastesi told us. The output did need some work, he mentioned, like formatting and fact checking, but the tool saved him time and effort. Meet your new AI lawyer.—BH |
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SOFTWARE More is less?  Anna Kim | Do AI coding tools actually make developers more productive? It depends on how you define productivity. After examining the data and AI usage telemetry of over 100,000 GitHub developers, researchers from MIT and UPenn’s Wharton School have determined that AI coding tools might help developers produce more lines of code, but that’s not leading to more finished software shipped. The researchers found that synchronous agents (agents that write and edit code with the developer in real time) produced a 741% increase in lines of code and led to a 65% increase in pull requests. However, software releases only rose 20%. Give me the numbers.—BM |
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patch notes  Francis Scialabba | Today’s top IT reads. Stat: 15 billion. That’s how many wireless connectivity chips Apple has contracted Broadcom to design and manufacture in the US. (TechCrunch) Quote: “Champions are the ones who socialize the broader potential of AI.”—Ramesh Kollepara, Mars Snacking global CTO, on the use of “AI champions” to promote the technology (the Wall Street Journal) Read: Chinese hacks on the water supply is the subject of a secret war game. (Wired) *A message from our sponsor. |
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Thursday Quiz What do you know?  Amelia Kinsinger | The week’s biggest IT stories—now in quiz form. Test yourself on the latest cybersecurity headlines, software news, and tech breakthroughs in a quick, competitive challenge built for IT pros. Challenge your coworkers and see how your score stacks up! Ace the quiz |
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Jobs  | CollabWORK connects you to the hidden job market through IT Brew and other trusted channels. Browse roles curated specifically for this community by clicking through to the job board. |
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