Google to include chatbot AI in its search engine, CEO announces

Google released Bard to the public in February, its own AI chatbot that is similar to ChatGPT, hinting at possible plans to integrate the technology into its search engine. (Reuters/File Photo)
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Updated 07 April 2023
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Google to include chatbot AI in its search engine, CEO announces

  • Sundar Pichai says company is testing several new products
  • Opportunity will give more power and flexibility, insists chief

LONDON: Google plans to include conversational artificial intelligence features in its search engine as it seeks to respond to changes brought about by the rapidly changing industry, says Sundar Pichai.

In an interview with The Wall Street Journal, the Alphabet and Google CEO said AI will enhance user experience to give people more power and flexibility when searching online.

Pichai said: “Will people be able to ask questions to Google and engage with LLMs in the context of search? Absolutely.”

Google is a pioneer in the field of large language models, the term used to refer to AI models that can generate natural language texts from large amounts of data.

The technology is at the heart of services like ChatGPT, the AI chatbot sensation released to the public in the autumn of last year by OpenAI.

Microsoft recently launched an upgraded version of its Bing search engine, which is now powered by ChatGPT. The company said that the new search engine helped it exceed 100 million daily active users last month.

Along with adding it to Bing, the firm spearheaded by Satya Nadella is also integrating the chatbot technology into its Edge browser as well as other Microsoft 365 applications and services.

Google has long been the dominant player in the field of search engine technology, offering a fast and simple way to access information online.

The algorithm that powers its search engine has been the driving force of the business, accounting for more than half of the revenue at parent Alphabet.

Pichai dismissed the potential threat posed by chatbots and added that “the opportunity space, if anything, is bigger than before.”

Google released Bard to the public in February, its own AI chatbot that is similar to ChatGPT, hinting at possible plans to integrate the technology into its search engine.

Pichai added: “It has been incredible to see user excitement around adoption of these technologies, and some of that is a pleasant surprise as well.”

Although Google insists on saying that Bard is an “experiment” and a “powerful technology” that should be used in a “responsible way,” Pichai confirmed that the tech giant is “thoughtfully integrating LLMs into search in a deeper way.”

However, Google has not yet released any specific information about when or how it plans to integrate the technology.

Pichai said that Google is testing several new AI-powered search products, including ones that would allow people to ask follow-up questions to their original query.

Google announced in March that it was working on testing AI features for its Workspace tools, including Gmail and Docs.

Although the AI race has injected fresh energy and optimism into the tech industry, the sector is in the midst of a transition that includes cost-cutting and layoffs due to economic uncertainty.

Google earlier this week announced cuts of some employee perks, ranging from dining facilities to the company’s computing infrastructure.


WEF report spotlights real-world AI adoption across industries

Updated 59 min 46 sec ago
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WEF report spotlights real-world AI adoption across industries

DUBAI: A new report by the World Economic Forum, released Monday, highlights companies across more than 30 countries and 20 industries that are using artificial intelligence to deliver real-world impact.

Developed in partnership with Accenture, “Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations” draws on insights from two cohorts of MINDS (Meaningful, Intelligent, Novel, Deployable Solutions), a WEF initiative focused on AI solutions that have moved beyond pilot phases to deliver measurable performance gains.

As part of its AI Global Alliance, the WEF launched the MINDS program in 2025, announcing its first cohort that year and a second cohort this week. Cohorts are selected through an evaluation process led by the WEF’s Impact Council — an independent group of experts — with applications open to public- and private-sector organizations across industries.

The report found a widening gap between organizations that have successfully scaled AI and those still struggling, while underscoring how this divide can be bridged through real-world case studies.

Based on these case studies and interviews with selected MINDS organizations, the report identified five key insights distinguishing successful AI adopters from others.

It found that leading organizations are moving away from isolated, tactical uses of AI and instead embedding it as a strategic, enterprise-wide capability.

The second insight centers on people, with AI increasingly designed to complement human expertise through closer collaboration, rather than replace it.

The other insights focus on the systems needed to scale AI effectively, including strengthening data foundations and strategic data sources, as well as moving away from fragmented technologies toward unified AI platforms.

Lastly, the report underscores the need for responsible AI, with organizations strengthening governance, safeguards and human oversight as automated decision-making becomes more widespread.

Stephan Mergenthaler, managing director and chief technology officer at the WEF, said: “AI offers extraordinary potential, yet many organizations remain unsure about how to realize it.

“The selected use cases show what is possible when ambition is translated into operational transformation and our new report provides a practical guide to help others follow the path these leaders have set.”

Among the examples cited in the report is a pilot led by the Saudi Ministry of Health in partnership with AmplifAI, which used AI-enabled thermal imaging to support early detection of diabetic foot conditions.

The initiative reduced clinician time by up to 90 percent, cut treatment costs by as much as 80 percent, and delivered a 10 time increase in screening capacity. Following clinical trials, the solution has been approved by regulatory authorities in Saudi Arabia, the UAE and Bahrain.

The report also points to work by Fujitsu, which deployed AI across its supply chain to improve inventory management. The rollout helped cut inventory-related costs by $15 million, reduce excess stock by $20 million and halve operational headcount.

In India, Tech Mahindra scaled multilingual large language models capable of handling 3.8 million monthly queries with 92 percent accuracy, enabling more inclusive access to digital services across markets in the Global South.

“Trusted, advanced AI can transform businesses, but it requires organizing data and processes to achieve the best of technology and — this is key — it also requires human ingenuity to maximize returns on AI investments,” said Manish Sharma, chief strategy and services officer at Accenture.