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- Gemini no more optional in Gmail!
Gemini no more optional in Gmail!
Plus: Snowflake moves into observability
Hello, Prohuman
Today, we will talk about these stories:
Google adds AI summaries to Gmail
Snowflake buys Observe for AI ops
Microsoft wants AI agents inside retail ops
The Future of Shopping? AI + Actual Humans.
AI has changed how consumers shop by speeding up research. But one thing hasn’t changed: shoppers still trust people more than AI.
Levanta’s new Affiliate 3.0 Consumer Report reveals a major shift in how shoppers blend AI tools with human influence. Consumers use AI to explore options, but when it comes time to buy, they still turn to creators, communities, and real experiences to validate their decisions.
The data shows:
Only 10% of shoppers buy through AI-recommended links
87% discover products through creators, blogs, or communities they trust
Human sources like reviews and creators rank higher in trust than AI recommendations
The most effective brands are combining AI discovery with authentic human influence to drive measurable conversions.
Affiliate marketing isn’t being replaced by AI, it’s being amplified by it.
Gmail’s inbox is getting AI first

Image Credits: Google Blog
Open a long Gmail thread and the summary is already there.
Google is rolling out new Gemini AI features in Gmail, including automatic summaries and suggested replies, and some of them will be turned on by default. Gmail now has more than 3 billion users, and these updates will land in inboxes in phases starting this month.
This is Google using scale as leverage, not asking for permission. By forcing an opt-out instead of an opt-in, Google is betting that most people will accept AI help quietly while scanning email at 8 a.m. with one eye open and coffee nearby.
If this sticks, Gmail becomes a daily AI surface whether users want it or not, which gives Google a distribution edge OpenAI and Anthropic do not have. It also normalizes AI-generated interpretation inside personal communication, not just search results.
Once summaries speak for your inbox, how long before they start speaking for you?
Snowflake wants to run your systems too

Image Credits: Snowflake
Snowflake is no longer staying in the data lane.
Snowflake announced it will acquire Observe, an AI-powered observability company built on Snowflake, to pull logs, metrics, and traces directly into its data cloud. The deal targets a $50 billion IT operations market and promises faster troubleshooting, full telemetry retention, and up to 10x quicker issue resolution using AI-driven SRE tooling.
This is Snowflake saying observability is just another data workload, not a separate category. By treating telemetry like first-class data, Snowflake tightens its grip on how companies run AI-heavy systems, especially when failures happen at 2 a.m. and teams need answers fast.
If this works, standalone observability tools start to look like expensive sidecars. It also pushes Snowflake closer to the operational core of enterprises, where switching costs rise and platform gravity gets real.
Once your data platform handles outages, what part of the stack is left untouched?
Microsoft is wiring AI into retail operations

Image Credits: Microsoft
Microsoft wants AI agents sitting inside retail workflows.
Microsoft announced a bundle of “agentic AI” tools for retailers, spanning checkout, online shopping, product catalogs, and in-store operations. The rollout includes Copilot Checkout in the U.S., brand agents for Shopify merchants, and multiple Copilot Studio templates aimed at inventory, staffing, and merchandising, as retail AI traffic jumped 693% year over year during the 2025 holiday season.
This reads less like a single product launch and more like Microsoft claiming territory inside how retail actually runs day to day. The real move is not chat on a website, but AI embedded where decisions get made, from catalog cleanup at a desk to staffing calls during a noisy Saturday afternoon.
If retailers adopt this deeply, Microsoft becomes part of the retail operating layer, not just the cloud underneath it. That also pulls Copilot closer to transactions, data, and margin, which is where long-term leverage sits.
Once AI agents run checkout and store ops, how much room is left for retailers to say no?
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. | ![]() Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. | ![]() Founder |
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