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How Customers Are Using AI Search

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ChatGPT usage continues to climb fast. The number of prompts grew by nearly 70% during the first half of 2025, according to a sample by market intelligence firm Sensor Tower. While the total number of ChatGPT prompts would be much higher, Sensor Tower’s sample alone rose from about 17 million in January to slightly less than 29 million in June (see Figure 1). 


ChatGPT prompts are rising steadily


Source: Sensor Tower



This growth signals more than just curiosity; it’s a shift in behavior. As usage scales, so does the need to understand what people are doing with these tools (see Figure 2).


The mix of ChatGPT search types is evolving

visualization


Source: Sensor Tower



Shopping is big

Shopping is the biggest mover. It jumped from 7.8% to 9.8% of all searches, a 25% category gain on top of 70% total ChatGPT growth. That means shopping queries doubled in the six months from January to June.

That’s a big deal for anyone that counts on search to find customers. Optimizing for AI (AIO)—also called generative engine optimization (GEO)—with ChatGPT and Perplexity is no longer an option for B2B and consumer brands.

Other interesting observations:

  • Coding searches dropped from 15.1% to 11.9%. That could be because coding was one of the earliest applications, so there’s less growth. But it could also be because coders are using coding assistant tools, such as Cursor, or vibe-coding tools such as V0, Replit, or Loveable, which are all powered by Anthropic’s Claude Code. OpenAI’s ChatGPT5 launch on August 7 discussed coding capabilities at length, including noting that GPT5 will now be the default model for Cursor.
  • Healthcare saw notable growth as more people turned to ChatGPT to interpret test results and understand diagnoses. At the ChatGPT5 launch, OpenAI also highlighted that the new model is further optimized for healthcare use cases. 

Drilling down into the shopping data shows some products gaining over others, with the strongest signals coming from personal tech, home improvement, and cosmetics and clothing. These shifts might not be statistically significant yet, but brands in some spaces may already be feeling a drop in traditional search traffic (see Figure 3).


Some product categories are gaining traction over others

visualization


Source: Sensor Tower



Clicks are growing fast

OpenAI has been quietly expanding the number of live links in ChatGPT answers, and users are noticing. Between March and June, click-throughs tripled (from around 100,000 to 300,000), with the average rate jumping from 2.2% to 5.7% (see Figure 4). 


ChatGPT click-throughs tripled between March and June

visualization


Source: Sensor Tower



This shift suggests that users aren’t using ChatGPT just for recommendations but also to find links to specific products or content, similar to a traditional search engine. If you run a content site or e-commerce business, it’s no longer enough to be mentioned; you need to be linked.

What this means for business and investors

All signs point up, but where this flattens out is still unclear. In the short term, companies should be thinking about how to optimize their online content for AIO platforms—figure out what helps bots find and surface your content.

Investors should be looking carefully at companies that rely on search. This could be an opportunity to leapfrog the competition by investing early in this space, or the business could face setbacks if competitors beat them to it. Watch for the introduction of ads or sponsored content in AIO results as those companies look for ways to monetize their efforts.

Ad-funded businesses should receive special scrutiny: Will ChatGPT mean fewer visits to websites? Will new business models arise where content creators are compensated in some other way?



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California bill to regulate high-risk AI fails to advance state legislature

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A California artificial intelligence bill addressing the use of automated decision systems in hiring and other consequential matters failed to advance in the state assembly during the final hours of the 2025 legislative session Friday.

The bill (AB 1018) would have required companies and government agencies to notify individuals when automated decision systems were used for “consequential decisions,” such as employment, housing, health care, and financial services.

Democratic assemblymember Rebecca Bauer-Kahan, the bill’s author, paused voting on the bill until next year to allow for “additional stakeholder engagement and productive conversations with the Governor’s office,” according to a Friday press release from her office.

“This pause reflects our commitment to getting this critical legislation right, not a retreat from our responsibility to protect Californians,” Bauer-Kahan said in a statement. “We remain committed to advancing thoughtful protections against algorithmic discrimination.”

The Business Software Alliance, a global trade association that represents large technology companies and led an opposition campaign against the bill, argued that the legislation would have unfairly subjected companies using AI systems “into an untested audit regime” that risked discouraging responsible adoption of AI tools throughout the state.

“Setting clear, workable, and consistent expectations for high-risk uses of AI ultimately furthers the adoption of technology and more widely spreads its benefits,” Craig Albright, senior vice president at BSA, told StateScoop in a written statement. “BSA believes there is a path forward that sets obligations for companies based on their different roles within the AI value chain and better focuses legislation to ensure that everyday and low-risk uses of AI are not subjected to a vague and confusing regulatory regime.”

Since it was introduced in February, the bill was amended to narrow when AI audits are required, clarify what kinds of systems and “high-stakes” decisions are covered, exempt low-risk tools like spam filters, and add protections for trade secrets while limiting what audit details must be made public. It also refined how lawsuits and appeals work and aligned the bill more clearly with existing civil rights laws.

AB 1018’s failure comes on the heels of the Colorado state legislature voting to delay implementing the Colorado AI Act, the state’s high-risk artificial intelligence legislation, until the end of June next year, five months after the law was supposed to go into effect. Similar to California’s AI bill, Colorado’s Artificial Intelligence Act would also regulate high-risk AI systems in areas like hiring, lending, housing, insurance and government services.


Written by Sophia Fox-Sowell

Sophia Fox-Sowell reports on artificial intelligence, cybersecurity and government regulation for StateScoop. She was previously a multimedia producer for CNET, where her coverage focused on private sector innovation in food production, climate change and space through podcasts and video content. She earned her bachelor’s in anthropology at Wagner College and master’s in media innovation from Northeastern University.



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The Despair of the Teacher in the Age of Artificial Intelligence – Commentary Magazine

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There may still be a few sheltered analog folk out there who pronounce the abbreviation for Artificial Intelligence, AI, like the name of the steak sauce, mistaking the “I” for a “1,” but the rest of us are very much aware that it is already playing a role in every…





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xAI lays off 500 AI tutors working on Grok

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Elon Musk’s artificial intelligence startup xAI has laid off 500 workers from its data annotation team, which helps train its Grok chatbot.

The layoffs were earlier reported by Business Insider.

The AI company notified employees over email that it was planning to downsize its team of generalist AI tutors, according to messages viewed by the publication. The company said the “strategic pivot” meant prioritizing specialist AI tutors, while scaling back its focus on general AI tutor roles.

In response to the story, xAI directed reporters to a post on X, in which the company said it plans to expand its specialist AI tutor team by “10X” and intends to open roles on its careers page.

The human data annotator team at xAI plays a key role in teaching Grok to understand the world by labeling, contextualizing, and categorizing raw data used to train the chatbot. The email sent by xAI said that laid-off workers would be paid through either the end of their contract or Nov. 30, but their access to company systems would be terminated the day of the layoff notice.

Prior to the layoff, the xAI’s data annotation team was one of the largest, with 1,500 full-time and contract staff members, which included AI tutors. The reorganization of the data annotators team comes on the back of a leadership shake-up at the team that saw nine employees reportedly exit the firm last week.

As a sign of its changing approach to training Grok, xAI on Thursday asked some of the AI tutors to prepare for tests, Business Insider reported, that covered traditional domains such as STEM, coding, finance, and medicine, as well as quirkier specialties such as Grok’s “personality and model behavior” and doomscrollers.”

Musk launched xAI in 2023 to compete with OpenAI and Google DeepMind, which are racing to win the AI race. He introduced Grok as a safe and truthful alternative to what he accused competitors of building, “woke” chatbots prone to censorship.



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