The Connected News Podcast · Business Post

The Connected AI Podcast: AI and customer support

·50 min·3 clips

Intercom says buyers are driven by “fear and excitement” when adopting AI.

1. The Connected News Podcast focuses on AI and customer support, with Charlie Taylor and Elaine Burke using that theme to frame a broader news rundown. 2. Charlie Taylor is editor of Connected at the Business Post, and Elaine Burke co-hosts the show while guiding the discussion toward Intercom, OpenAI, Perplexity, Google, and Klarna. 3. The episode asks what AI actually changes in customer support, and Karen Church of Intercom provides the main answer through research and product detail. 4. OpenAI’s planned move from a nonprofit-controlled structure toward a public benefit corporation is described as central to its future funding and possible IPO. 5. The hosts say OpenAI raised $40 billion from SoftBank in March and that $10 billion of that funding depends on completing the for-profit conversion. 6. Delaware Attorney General Kathy Jennings is cited as reviewing the new plan for compliance with Delaware law and charitable purpose requirements. 7. Microsoft’s role matters because the episode says the company can veto restructuring plans and has invested about $14 billion across earlier rounds. 8. The show links the OpenAI restructuring to a wider investment chain that includes SoftBank, Oracle, NVIDIA, and the Stargate program. 9. Charlie Taylor says tariffs could raise Stargate’s cost by 5% to 15%, which adds another layer of uncertainty to the project. 10. The episode also notes Elon Musk’s separate legal challenge, with one judge already denying an attempt to stop the restructuring. 11. Perplexity’s reported bid to raise $500 million at a $14 billion valuation is used as a second sign that AI search remains highly valued. 12. Google search is treated as under pressure, with Apple testimony saying search usage in Safari has fallen and Charlie Taylor pointing to AI Overviews and search quality complaints. 13. Rand Fishkin is cited as saying Google still handled 373 times as many searches as OpenAI’s bot in his analysis. 14. Klarna is presented as a cautionary example, because it announced cuts to human customer service staff and later said it would hire people again after AI lowered quality. 15. Charlie Taylor also cites an IBM survey saying only one in four AI projects delivers the return it promised. 16. Karen Church says Intercom had already been building AI products from around 2018, including resolution bots and predictive smart replies, before ChatGPT arrived. 17. She says Intercom shipped Finn quickly after GPT launched and later switched the product from GPT to Claude because of superior performance, higher accuracy, and better scale. 18. The interview style is practical and detailed, with Charlie Taylor pressing on product decisions while Elaine Burke keeps tying the discussion back to customer behavior and business impact. 19. Listeners interested in AI adoption, customer support, and enterprise product strategy will get the most from this episode. 20. Listeners looking for light chat or purely consumer AI news may skip the detailed product and restructuring discussion.

As heard by us

A practical look at Intercom's long-running use of machine learning in customer support.

The episode treats AI and customer support as a working problem, not a branding exercise. Karen Church of Intercom grounds that view in a longer arc: the company had already been using machine learning from around 2018 to cut repetitive support work, with tools such as a…

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A brisk look at how Intercom turned AI into customer support tooling, from early machine-learning helpers to Finn.

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