AI: WHAT IS NOW? — EDITION #1
No Off Switch: Google AI Overviews Are Becoming Part of Search
Understanding AI as it happens.
For decades, searching the web meant asking a question, receiving links, reading sources and forming your own answer.
Generative AI is changing that sequence.
Google Search can now place an AI-generated synthesis between your question and the underlying web sources.
And there is an important detail: Google currently does not provide a general setting that simply switches AI Overviews off. Users can, however, choose the Web filter to see text-based web links without an AI Overview in that results view.
This may sound like a product-setting issue.
It represents something much bigger:
AI is moving from something we choose to use to something embedded in what we already use.
1. WHAT — What Is Happening?
Google's AI Overviews use generative AI to provide synthesized responses to some searches.
Instead of only presenting a page of links, Search may first present an AI-generated overview intended to help the user understand the topic quickly, together with links for exploring the underlying information.
According to Google's documentation, AI Overviews appear when Google's systems determine that a generative response may be particularly useful.
There is currently no general Google Search setting for turning AI Overviews completely off.
Google does provide another route: after searching, users can select the Web filter to see text-based links.
The distinction matters: you can choose a link-focused results view, but that is different from globally disabling AI Overviews as a Search feature.
2. WHY NOW — Why Is This Happening Now?
The web has traditionally worked through a familiar pattern:
QUESTION → SEARCH → LINKS → READ → SYNTHESIZE → ANSWER
Generative AI introduces another possibility:
QUESTION → SEARCH + AI → SYNTHESIS → ANSWER → SOURCES
The difference is important.
AI can increasingly perform part of the reading, comparison and synthesis that previously belonged almost entirely to the user.
Google has continued integrating its Gemini models into Search and connecting AI Overviews with more conversational search experiences such as AI Mode.
The direction is becoming clear:
Search is becoming AI-mediated.
3. HOW — How Does It Work?
Traditional search primarily helps you locate information.
AI-mediated search attempts to do something additional: interpret and synthesize information before presenting it to you.
| Traditional Search | AI-Mediated Search |
|---|---|
| Query | Query |
| Sources | Sources |
| You read | AI synthesizes |
| You synthesize | You receive a synthesized response |
| You form an answer | You inspect, verify and judge |
The new element is the AI interpretation layer.
That layer can save time. But generated answers can also contain errors, omit context or represent sources imperfectly.
Therefore:
AI synthesis is not the same thing as source evidence.
4. WHY IT MATTERS — Search Is Becoming Something Else
The significance of AI Overviews is not simply that Google has added another feature.
It illustrates a broader transition in computing.
Until recently, using generative AI was usually an explicit decision.
You opened ChatGPT, Gemini, Claude or another AI application because you wanted AI assistance.
Increasingly, AI is being embedded inside the tools people already use: search engines, browsers, productivity software, communication systems, operating systems and enterprise applications.
The important question therefore changes.
Instead of asking:
“Should I use AI?”
we increasingly need to ask:
“Where is AI already mediating what I see, know and decide?”
That is a much more consequential question.
5. IMPLICATIONS FOR PROFESSIONALS
Professionals need more than the ability to search.
They increasingly need AI information literacy.
That means understanding when an AI-generated synthesis is useful, when the underlying sources need to be examined, and when professional judgment must override the convenience of an immediate answer.
A useful mental model is:
AI SYNTHESIS → SOURCE → VERIFICATION → JUDGMENT
For routine orientation, an AI-generated overview may save considerable time.
For consequential work—research, healthcare, engineering, finance, law, education, policy, management or strategy—the generated answer should not automatically become the evidence.
Professionals should distinguish between:
- What the AI says
- What the source actually says
- What the evidence supports
- What professional judgment concludes
Build the habit of moving deliberately from AI synthesis → authoritative sources → verification → human judgment, especially when decisions have meaningful consequences.
6. IMPLICATIONS FOR INSTITUTIONS
The institutional implications are even larger.
Organizations can no longer assume that employees conducting online research are simply reading original webpages.
Increasingly, information may first pass through an AI-generated interpretation layer.
That has implications for research, education, healthcare, compliance, procurement, legal work, journalism, strategy, governance and decision-making.
Institutions therefore need to distinguish between different levels of information use:
DISCOVERY → AI-ASSISTED UNDERSTANDING → AUTHORITATIVE EVIDENCE → ACCOUNTABLE DECISION
Not every AI-generated answer requires an elaborate verification process.
But organizations should identify circumstances in which primary or authoritative source verification is mandatory.
This is fundamentally an AI governance question.
Include AI-mediated search, source verification and responsible information use in organizational AI literacy and governance practices.
7. WHAT NEXT — From Search to Action
The bigger development to watch is not simply whether Google eventually offers different controls for AI Overviews.
Watch the evolution of the interaction itself:
SEARCH → ANSWER → CONVERSATION → ACTION
Search systems are becoming capable of doing more than retrieving webpages.
They can increasingly interpret questions, synthesize information, maintain conversational context and help users move toward completing tasks.
That creates extraordinary convenience.
But as the AI layer becomes more capable, four things become increasingly important:
SOURCE TRANSPARENCY • VERIFICATION • AI LITERACY • HUMAN JUDGMENT
The Bigger Idea
AI is moving from something we choose to use to something embedded in what we already use.
That may prove to be one of the defining shifts of the current AI era.
And that is why a seemingly simple question—
“How do I get rid of AI Overview?”
—is not merely a Google settings question.
It is a question about how AI is becoming part of the infrastructure through which we access information.
And that makes it an AI: What Is Now? question.
Sources & Further Reading
Google Search Help:
AI Overviews and more in Search
Google Search Community:
Frequently Asked Questions About AI Overviews
Google:
Updates to AI Mode and AI Overviews in Google Search
AI: WHAT IS NOW?
Understanding AI as it happens.
Current development → Understanding → Implications → Action
Ravindra Dastikop
https://dastikop.blogspot.com
