Google set to overtake ChatGPT with launch of AI model, Gemini

Google's multimodal AI model, Gemini, will power its chatbot Bard. (Supplied)
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Updated 08 December 2023
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Google set to overtake ChatGPT with launch of AI model, Gemini

  • The multimodal Gemini model is optimized for three sizes

DUBAI: Google announced the launch on Wednesday of its multimodal AI model, Gemini, which will power its chatbot Bard.

Gemini has been optimized for three sizes — Ultra, Pro and Nano — “which means it’s able to run on everything from mobile devices to large-scale data centers,” said Eli Collins, vice president of product at Google DeepMind, during a press briefing. 

The most advanced version, Ultra, outperforms on 30 of the 32 academic benchmarks used in large language model research and development, Collins said. 

He explained that Gemini was designed to be “natively multimodal” unlike some AI models, which means that it was trained on different formats from the beginning, enabling it to “understand nuanced information (such as) text, images, audio and code,” and “answer questions relating to complicated topics and reason in math and physics.”

“With Gemini, Bard is getting its biggest and best upgrade yet,” said El-Sisie Hsiao, vice president and general manager of Bard and Assistant. 

“A specifically tuned version of Gemini Pro” that has “more advanced reasoning, planning, understanding and other capabilities” is now integrated into Google’s chatbot Bard, she said.

Google will integrate the AI model into other Google products such as search and adverts in the future, and next year launch Bard Advanced, “which is our largest and most capable model, and it’s designed for highly complex tasks,” Hsiao said.

Google is strengthening its foothold in the field of AI nearly eight years into its journey as an “AI-first company,” wrote Google and Alphabet CEO Sundar Pichai in a blog post. 

He wrote: “We’re approaching this work boldly and responsibly. That means being ambitious in our research and pursuing the capabilities that will bring enormous benefits to people and society, while building in safeguards and working collaboratively with governments and experts to address risks as AI becomes more capable.”  

Gemini has a score of 90 percent on the MMLU (massive multitask language understanding) test and is the first model to outperform human experts (89.8 percent), as well as GPT-4 (86.4 percent) in various tasks across 57 subjects including maths, physics, history, law, medicine and ethics.

Gemini Nano is currently available to developers, while Gemini Pro will be available to enterprise and Vertex AI customers as well as developers in AI Studio from Dec. 13. Gemini Ultra will be rolled out in 2024.


WEF report spotlights real-world AI adoption across industries

Updated 19 January 2026
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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.