Another Crazy Day in AI: HubSpot Meets Deep Research
- Wowza Team
- Jun 5
- 4 min read
Hello, AI Enthusiasts.
Winding down the week, but here’s something to wake your brain before the weekend hits:
HubSpot just dropped something big—its new CRM deep research connector with ChatGPT. That means businesses can now talk to their data in plain English. No code. No data team. Just questions, answers, and faster decisions.
Meanwhile, Google’s still hiring engineers, even in the age of AI. Pichai says we’re nowhere near done needing humans to build this future.
And in the world of science, researchers are split on where AI belongs in peer review and academic writing. Helpful? Maybe. Acceptable? Depends who you ask.
Keep these AI insights handy as you step into the weekend.
Here's another crazy day in AI:
ChatGPT now works with HubSpot
Alphabet CEO plans to keep hiring engineers
Survey finds ethical divide over AI use in papers
Some AI tools to try out
TODAY'S FEATURED ITEM: HubSpot Adds AI Research
Image Credit: Wowza (created with Ideogram)
What if your CRM could answer the kinds of questions you'd normally ask a data team?
Karen Ng, SVP of Product at HubSpot, recently shared in a LinkedIn post a new integration that brings ChatGPT’s Deep Research tool directly into the HubSpot ecosystem. It’s the first CRM to offer this kind of connection, making it possible for users to interact with their customer data using natural language—without needing advanced analytics skills or coding experience. The goal? To help small and mid-sized teams do the kind of strategic analysis that once required larger departments and more technical expertise.
The connector lets teams pull insights from both structured and unstructured customer data—everything from contact records to ticket sentiment. Once connected, you can simply ask questions in plain language and get actionable answers that can help guide decision-making across marketing, sales, support, and customer success teams.
What the integration makes possible:
Ask direct questions about your customer base—no queries, just plain language
Surface patterns around lead quality, churn signals, or campaign performance
Explore opportunities by filtering data through context like industry, tech use, or team size
Equip support and success teams to anticipate volume, track sentiment, and plan outreach
Keep access levels secure—only users with existing permissions can retrieve relevant insights
Integrate the tool without disrupting workflows; once a Super Admin enables it, it’s ready for use
The integration is available to HubSpot users with any paid ChatGPT plan—Plus, Pro, Team, Enterprise, or Edu (with some differences for EU-based accounts). HubSpot confirmed that the data is not used for model training and that permission rules stay intact, helping teams maintain control of sensitive information.
While it doesn’t replace more traditional data analysis methods, the integration does expand the kind of questions everyday users can explore without needing to involve a data team. The real benefit may come in those early stages of inquiry—when someone is trying to understand what’s happening, explore a trend, or test a hunch—and now has a more direct path to insight.
It also invites a broader range of team members into the conversation about what the data might suggest. For organizations already working within HubSpot, this may be an opportunity to use what's already available more effectively. And for others watching from the outside, it raises some thoughtful considerations: how much of our existing data sits underused, simply because accessing it has always felt just out of reach?
Read the full post here.
OTHER INTERESTING AI HIGHLIGHTS:
Alphabet CEO Plans To Keep Hiring Engineers
/Julia Love, Tech Reporter at Bloomberg, featured in The Japan Times
Alphabet CEO Sundar Pichai says Google will keep hiring engineers through at least 2026, even as AI advances accelerate. Speaking at the Bloomberg Tech conference, Pichai emphasized the need for human talent to unlock the full potential of AI, especially as it transforms engineering productivity. While optimistic about AI’s capabilities, he acknowledged the models still make basic mistakes and that general artificial intelligence (AGI) isn’t guaranteed. Pichai also addressed concerns from publishers about AI-generated search overviews, promising that Google remains committed to supporting web traffic.
Read more here.
Survey Finds Ethical Divide Over AI Use In Papers
/Diana Kwon, Freelance Science Journalist, on Nature
A global survey of 5,000 researchers published in Nature reveals deep divisions over when and how AI should be used in scientific writing and peer review. While most agree that using AI to edit or translate is acceptable, opinions vary on whether disclosure is necessary and whether AI should draft papers or reviews. The data shows that actual use of AI tools remains low, especially for tasks like peer review or generating first drafts. The survey also found differences based on researchers’ career stages and native languages, suggesting that younger and non-native English-speaking academics are more open to AI assistance.
Read more here.
SOME AI TOOLS TO TRY OUT:
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
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