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On June 4th at 10 AM EST, we’re showing you how to get 25+ hours back every week by building AI agents that run your work for you.

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AI is boosting productivity

AI tools have officially gone mainstream across law, finance, consulting, and accounting. But many pros are using them without permission and that’s a red flag.

Here's everything you need to know: 

• In 2024, 48% of professionals used AI at work, now it’s 72%, per Intapp’s new survey.

• 62% say AI is highly useful in their daily work, especially for synthesis and creativity.

• 82% believe AI output is as good or better than their own; a major confidence shift.

• 42% are using saved time to focus on higher-level client work or strategy.

• But 50% have used unauthorized AI tools, often risking sensitive data in the process.

• Another 23% say they’d use AI tools even if their firm hasn’t approved them.

• This creates tension: productivity gains vs. rising concerns around compliance and security.

AI has crossed the adoption chasm, it’s not optional anymore. But firms are scrambling to catch up on the governance side. The lesson here isn’t “stop using AI.” It’s that adoption without alignment is a liability. The future belongs to firms that lead with both experimentation and trust.

Snowflake Just Bought Its Way Into the AI Agent Race

Snowflake just announced it’s acquiring Crunchy Data. The goal: bring trusted Postgres into its AI Data Cloud to power agentic apps.

Here's what you need to know: 

• Crunchy Data is a top provider of secure, open-source Postgres tech for regulated industries.

• With this deal, Snowflake will launch “Snowflake Postgres” which is a new database built for AI agent workloads.

• Postgres is used by nearly half of all developers and is key to powering real-time, structured AI workflows.

• Snowflake wants to streamline how developers build agentic applications inside its data ecosystem.

• The move echoes Databricks’ recent acquisition of Neon; another Postgres-native AI play.

• As demand grows for autonomous AI systems, control over the database layer is becoming a strategic advantage.

• The $350B market Snowflake is chasing hinges on speed, trust, and developer convenience.

AI agents are only as good as the data they run on. By integrating Postgres natively, Snowflake isn’t just chasing AI rather it’s solidifying the foundation. This signals a new phase in the data + AI arms race: infrastructure that’s open, fast, and battle-tested is back in the spotlight.

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