Beyond Google: what are people actually replacing with AI?

The most common story about AI is that it is coming for search.

ChatGPT as the Google killer. AI answers replacing blue links. Traditional search giving way to conversational search.

It is a neat story. It is also too simple.

The evidence does not support a clean substitution story where people stop searching and simply move their behaviour to AI. What we are seeing is more layered.

People still search. They still use Google. They still look for sources, products, places, people, news and navigational information.

But AI has created another kind of behaviour. It is not only answering questions. It is helping people shape work.

That distinction matters. Because if AI is not only replacing search, then we need to ask a better question. What is AI actually replacing?

The real replacement story is not search. It is the small, invisible layer of workplace help that used to move between people.

The search replacement story is incomplete

There is no doubt that ChatGPT has become a major information tool.

OpenAI reported in February 2026 that ChatGPT had more than 900 million weekly active users.[1] In 2025, OpenAI also told Axios that ChatGPT was receiving around 2.5 billion prompts per day globally.[2]

Those numbers are extraordinary. They show that conversational AI has become a mainstream behaviour at remarkable speed.

It is also true that AI is now competing for some information-seeking moments that would previously have gone to search engines. People ask AI to explain concepts, compare options, summarise topics and suggest next steps.

But that does not mean search has simply been replaced.

First Page Sage's 2026 analysis estimated that Google still accounted for nearly 80% of global digital queries, while ChatGPT accounted for around 17%.[3] The exact share depends heavily on how "query" is defined, because a ChatGPT prompt is not always equivalent to a search engine query.

That caveat matters. A traditional search query often tries to locate a source. A ChatGPT prompt often tries to generate an answer, a draft, a summary, a plan or a structured view.

They overlap, but they are not the same behaviour. That is why the search narrative can mislead us. AI is not only competing with search engines. It is expanding the category of what people ask machines to do.

The expansion hypothesis

One of the more useful ways to frame this is the expansion hypothesis. The idea is simple. People do not necessarily use ChatGPT instead of Google. They use ChatGPT in addition to Google.

A Semrush analysis of user behaviour before and after ChatGPT adoption found that Google usage did not fall after people began using ChatGPT. Instead, ChatGPT appeared to expand overall information-seeking behaviour.[4]

That is a crucial finding. It suggests that AI may be creating new demand rather than merely shifting old demand. People are not only asking AI questions they would have asked Google. They are asking different types of questions.

Not just:

• "What is the capital of Kenya?"
• "What is the best hotel near this venue?"
• "What time does this store close?"

But:

• "Help me think through this."
• "Explain this in simpler language."
• "Turn these notes into an email."
• "Give me three options."
• "What would a sceptic say?"
• "How should I prepare for this meeting?"
• "Rewrite this so it sounds more senior, but not defensive."

That is not search in the old sense. That is cognitive support.

AI is replacing the first draft

The first major behaviour AI is replacing is the first draft. This is one of the most obvious shifts in knowledge work.

Before AI, the blank page carried real friction. A proposal had to be started from scratch. A customer email had to be shaped carefully. A presentation needed structure. A board note required tone and flow. A difficult message often sat in drafts because the first sentence felt too hard.

That friction created delay. Sometimes the delay improved quality. Often it simply stopped work from moving.

AI changes that. A person can now get a rough structure in seconds. They can ask for an outline, a starting paragraph, a proposed email, a meeting agenda or a summary of their own messy notes.

That first draft is not final. It may be bland. It may be incomplete. It may miss context. It may be too confident. It may require heavy editing. But it exists. And once something exists, it can be improved.

This is a major behavioural shift. AI does not need to produce the finished work to change the work. It only needs to make starting easier.

AI is replacing the informal explainer

The second behaviour AI is replacing is the informal explainer.

In every organisation, there are people who are good at explaining things. The person who can make sense of a complex process. The colleague who knows the history of a client. The senior person who can explain what a policy really means. The teammate who can translate technical language into plain English.

Those people are valuable. But they are also busy.

Before AI, a junior employee might ask a colleague:

• "Can you explain this to me quickly?"
• "What does this term mean?"
• "Why are we doing it this way?"
• "What is the difference between these two options?"

Now many of those first-pass explanations go to AI.

That can be positive. It reduces the social cost of asking basic questions. It helps people learn privately. It gives second-language speakers more confidence. It lets people arrive at human conversations better prepared.

But there is a trade-off. When fewer basic questions are asked of humans, fewer teaching moments happen between humans.

The conversation does not disappear completely. But it changes. Instead of asking "What does this mean?", people increasingly ask "How did you prompt for that?", "What did you use AI for this week?", "How did you get that answer?", "What did you check before trusting it?"

That can be a healthier conversation, but only if teams make it visible.

AI is replacing the quick second opinion

The third behaviour AI is replacing is the quick second opinion. This might be the most important one.

A huge amount of workplace collaboration happens through small favours:

• "Can you have a look at this before I send it?"
• "Does this sound too harsh?"
• "Would you phrase it differently?"
• "Am I missing anything obvious?"
• "Does this summary make sense?"
• "What would you say in this meeting?"

These are not formal meetings. They are small acts of collaboration. They are also part of the connective tissue of work.

AI now handles many of these moments. It can review tone. It can suggest alternatives. It can identify gaps. It can make a note more concise. It can prepare objections. It can turn a rough email into something more considered.

That gives time back. The colleague two desks down can focus on their own work instead of polishing yours.

But it also removes a small moment of relationship-building. The quick review often became a conversation. The conversation became context. The context became trust. The trust became collaboration.

So the question is not only whether AI saves time. It is whether the workplace replaces the lost human moment with a better one.

AI is replacing polish

The fourth behaviour AI is replacing is polish. Polish used to be expensive. Not always financially, but operationally.

A person needed to rewrite. A manager needed to edit. A colleague needed to check tone. A senior person needed to make the argument sharper. A consultant or agency might be asked to improve the language.

AI now compresses that process. It can make writing cleaner. It can make structure stronger. It can improve readability. It can adjust tone. It can translate rough thinking into more professional language.

That is especially valuable in global organisations where people work across languages, cultures and styles.

But it creates a new risk. Polish can hide weak thinking. A document can sound better than it is. An email can feel more confident than the judgement behind it. A proposal can look structured while still lacking insight.

That is why the human review moves up a level. The question is no longer only "Is this well written?" The question becomes "Is this true, useful, specific and commercially grounded?"

AI can provide polish. Humans must still provide substance.

AI is replacing some outsourcing

The fifth behaviour AI is replacing is light outsourcing. Not all outsourcing. Not deep expertise. Not legal advice. Not accounting judgement. Not specialist research. Not technical implementation.

But lightweight outsourcing is under pressure. The basic research summary. The first deck outline. The draft proposal. The content plan. The first version of a campaign idea. The internal memo structure.

These tasks used to move to agencies, consultants, freelancers or internal specialists because the person with the need did not have time to start. Now they can start.

That does not mean specialists are no longer valuable. It means their value shifts. They cannot simply produce what a good AI user can now produce alone. They need to add judgement, originality, depth, taste, context and accountability.

The premium moves from production to contribution.

The hidden workplace shift

The most interesting shift is therefore not search. It is the redistribution of small support moments.

AI is absorbing some of the unglamorous middle layer of knowledge work: drafting, explaining, polishing, summarising, rephrasing, preparing, checking, structuring.

These are not always strategic tasks. But they are everywhere. They sit between idea and execution.

When AI enters that layer, work changes. People start sooner. They ask different questions. They rely less on colleagues for basic support. They produce more polished first versions. They arrive at conversations with more prepared thinking.

That can be empowering. It can also make organisations feel more individualised. If every person has a private assistant, fewer rough thoughts are shared early. Fewer people see the messy middle. Fewer colleagues are invited into the formation of the work.

That may have consequences for learning, trust and culture.

The new role of human collaboration

The answer is not to romanticise inefficiency. Nobody needs to protect the old world where people waited three days for a colleague to fix a paragraph.

Some of the work AI replaces should be replaced. It gives time back. It reduces unnecessary dependency. It helps people become more self-sufficient. It allows colleagues to focus on higher-value collaboration.

But teams should be intentional about what replaces the lost moments. If AI removes the quick favour, create better learning rituals. Share prompts. Show before-and-after examples. Discuss what was rejected. Ask how AI changed the thinking. Create space for critique, not only completion.

The conversation should move from "Can you fix this for me?" to "Let me show you how I got here." That is a more powerful form of collaboration.

The leadership question

For leaders, the issue is not whether AI is replacing Google. That is the narrow question. The better question is: what human behaviours is AI replacing inside our teams?

• Are people asking fewer questions?
• Are juniors getting less informal coaching?
• Are managers seeing fewer rough drafts?
• Are teams sharing less early thinking?
• Are people producing more polished but less challenged work?
• Are we saving time, but losing connection?

Those questions matter. AI adoption is not only a technology story. It is an organisational behaviour story. When the invisible favours disappear, leaders need to notice what else disappears with them.

What AI is really replacing

So what is AI actually replacing? Not just search.

It is replacing the first draft. It is replacing the basic explainer. It is replacing the quick second opinion. It is replacing some polish. It is replacing some lightweight outsourcing. It is replacing the small workplace favour.

That is not necessarily bad. But it is more important than the search debate. Because organisations are built on small interactions. Not only the formal meetings, but the tiny moments of help, feedback and shared thinking that happen around the work.

If AI removes some of those moments, we need to be deliberate about creating better ones.

The question

Forget search for a moment. What small workplace favour do you no longer ask another human for because AI does it now?

Not the big-ticket task. The little one. The "can you just have a look at this before I send it" favour. The "how would you phrase this" question. The "what would you say in this meeting" check-in. The "can you explain this quickly" moment.

That is where the patterns are becoming more interesting than the hype.

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Sources

[1] OpenAI, "Scaling AI for everyone", 2026. [2] TechCrunch reporting on OpenAI's disclosure to Axios that ChatGPT receives around 2.5 billion prompts per day, 2025. [3] First Page Sage, "Google vs ChatGPT Market Share: 2026 Report", 2026. [4] Semrush, "ChatGPT Is Not Replacing Google. It's Expanding Search", 2025. [5] Yulin Yu, Yizhou Li, Siddharth Suri and Scott Counts, "From Searchable to Non-Searchable: Generative AI and Information Diversity in Online Information Seeking", 2026.