Ready or not, enterprises are betting on AI

Plus: Thinking Machines Lab co-founder Andrew Tulloch heads to Meta

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In this Newsletter Today:

  • Ready or not, enterprises are betting on AI

  • Thinking Machines Lab co-founder Andrew Tulloch heads to Meta

  • AI Tutorial

  • 5 Best AI Tools

TODAY'S AI" NEWS

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Ready or not, enterprises are betting on AI

Enterprise adoption of AI is exploding right now. Tools like Zendesk AI agents, deals with Anthropic, and Google’s AI for business platform are driving companies to embrace AI. But it’s not all smooth. Earlier this week, Deloitte had to refund $10 million to the Australian government. This followed a report that contained “hallucinated” or AI-generated content.

Key Points:

  • Company leaders view enterprise deals as the quickest way to generate real revenue. They find them more dependable than consumer apps at this time.

  • Zendesk claims its new AI agents can resolve up to 80% of support issues autonomously.

  • Anthropic formed a strategic partnership with IBM. Meanwhile, Deloitte announced its own deal with Anthropic.

  • But the Deloitte incident shows risk: if AI is misused or unchecked, errors creep in—and clients push back.

  • The hosts of the Equity podcast believe that the real challenge for businesses isn't just making AI. It's about using it responsibly and accurately.

Transform Customer Support with AI Agents

How Did Papaya Scale Support Without Hiring?

Papaya cut support costs by 50% and automated 90% of inquiries using Maven AGI’s AI-powered agent - no decision trees, no manual upkeep. Faster responses, happier customers, same team size.

Thinking Machines Lab co-founder Andrew Tulloch heads to Meta

Andrew Tulloch, co-founder of the AI startup Thinking Machines Lab, has departed his startup to join Meta. The move furthers Meta’s push to acquire top AI talent as it scales up its own capabilities.

Key Points:

  • Tulloch told employees in an internal message about his decision. Thinking Machines Lab confirmed he’s leaving. They said he “has decided to pursue a different path for personal reasons.”

  • Before co-founding Thinking Machines Lab with Mira Murati this year, Tulloch worked at Meta for 11 years and at OpenAI.

  • Meta reportedly sought to recruit Tulloch with a compensation offer of up to $1.5 billion over several years. However, Meta called this figure “inaccurate.””

  • It isn’t yet clear what exact role Tulloch will take at Meta or which team he will join.

Why it matters:

  • This move highlights the fierce competition among tech giants for AI talent. Meta keeps taking experts from rival labs to strengthen its capabilities.

  • Losing Tulloch is a setback for Thinking Machines Lab. The startup has gained strong early momentum in the AI space.

  • Meta's move to hire someone with strong startup and research experience boosts its advanced AI efforts. This is especially important for its new Superintelligence Labs division.

AI TUTORIAL

How to Supercharge Your LinkedIn Outreach with AI:

Manually sending connection requests and follow-ups on LinkedIn is time-consuming. But if you try to speed things up with the wrong tools, LinkedIn will flag your account.

Closely is an AI-powered LinkedIn automation tool that mimics human behavior to keep your account safe while scaling your outreach.

How it works:

  • Build your sequence: Set up automated connection requests, profile visits, and follow-up messages that trigger based on actions.

  • Stay safe with smart limits: Closely uses human-like timing and delays between actions, so LinkedIn sees normal activity instead of bot behavior.

  • Personalize with AI: Pull details from profiles and company pages to generate personalized messages that actually sound like you wrote them.

  • Manage everything in one inbox: See all your LinkedIn DMs, InMails, and email replies in a single place. No more tab-switching.

  • Track what works: Get analytics on connection rates, reply rates, and meetings booked. Run A/B tests to find the best messaging.

Stop wasting hours on manual LinkedIn outreach. With Closely, you can build a consistent pipeline without risking your account.

How Canva, Perplexity and Notion turn feedback chaos into actionable customer intelligence

Support tickets, reviews, and survey responses pile up faster than you can read.

Enterpret unifies all feedback, auto-tags themes, and ties insights to revenue, CSAT, and NPS, helping product teams find high-impact opportunities.

→ Canva: created VoC dashboards that aligned all teams on top issues.
→ Perplexity: set up an AI agent that caught revenue‑impacting issues, cutting diagnosis time by hours.
→ Notion: generated monthly user insights reports 70% faster.

Stop manually tagging feedback in spreadsheets. Keep all customer interactions in one hub and turn them into clear priorities that drive roadmap, retention, and revenue.

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BEST AI TOOLS

Free AI Tools You Shouldn’t Miss

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Theneo: Create stunning, low-maintenance, and engaging API documentation with a single upload.

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