Google packs more artificial intelligence into new Pixel phones, raises prices for devices by $10

People photograph at the launch of the new Pixel 8 and Pixel 8 Pro Phones in New York City on October 4, 2023. (REUTERS)
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Updated 05 October 2023
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Google packs more artificial intelligence into new Pixel phones, raises prices for devices by $10

  • New phones will include allowing Google Assistant to tap into the company’s recently hatched AI chatbot, Bard, to perform tasks
  • Google is leaving it up to each user to decide whether to allow Bard to interact with its other services

Google on Wednesday unveiled a next-generation Pixel smartphones lineup that will be infused with more artificial intelligence tools capable of writing captions about photos that can also be altered by the technology.

The injection of more artificial intelligence, or AI, into Google’s products marks another step toward bringing more of the technology into the mainstream – a push company executives signaled they were embarking upon during their annual developer’s conference five months ago.
“Our focus is on making AI more helpful for everyone in a way that is bold and responsible,” Rick Osterloh, Google’s senior vice president of devices and services, said during Wednesday’s event held in New York. As if to leave no doubt about Google’s current priorities, Osterloh described the new Pixel 8 and Pixel 8 Pro phones as a conduit for having “AI in your hand.”
The next moves will include allowing the 7-year-old Google Assistant to tap into the company’s recently hatched AI chatbot, Bard, to perform tasks. The expanded access to Bard comes just two weeks after Google began connecting the AI chatbot to the company’s other popular service such as Gmail, Maps and YouTube.
Google is leaving it up to each user to decide whether to allow Bard to interact with its other services, an effort to address worries about AI sifting through potentially sensitive information as it seeks to learn more about language and people.
One of the new tricks that the Bard-backed assistant is supposed to be able to do is scan a photo taken on a phone powered by Google’s Android software and generate a pithy caption suitable for posting on social media. As Google has been doing with most of its AI gambits, the Bard-backed Google Assistant initially will only be available to a test audience before it is gradually offered on an opt-in basis to more owners of the latest Pixels.
As has become common across the industry, most of the other technology in the Pixel 8 and Pixel 8 Pro phones unveiled Wednesday will be similar to what has already been available in last year’s models.
One of the main selling points of the new phones will be improved cameras, including more AI-empowered editing tools that will mostly be available on the Pixel 8 Pro. The AI features will be able to spruce up photos, zoom into certain parts of images, substitute faces taken from other pictures in group shots and erase objects and people from images.
Google is counting on the new AI twists added to this year’s lineup to be enough to justify a price increase — with the starting prices for both the Pixel 8 and Pixel 8 Pro increasing by $100 over last year’s comparable models.
That will result in the Pixel 8 selling for $700 and the Pixel 8 Pro for $1,000 when they go on sale in stores next week. Apple also raised the starting price of its top-end iPhone by $100 when its latest models came out last month, signaling inflationary pressures are starting to drive up the costs of devices that have become essential pieces of modern life.
The Pixel 8 Pro will also be able to take people’s temperatures — an addition that could be a drawing card in a post-pandemic era as various strains of COVID evolve. But Google is still trying to get regulatory approval to enable that capability in the US A 2020 phone, the Honor Play 4 Pro made my Huawei, also was able to screen for fevers, so Google isn’t breaking totally new ground.
Despite generally getting positive reviews, the Pixel phones have barely made a dent in a market dominated by Samsung and Apple since Google began making the devices seven years ago. But they have been gaining slightly more traction in recent years, with Pixel’s share of the high-end smartphone market now hovering around 4 percent from less than 1 percent three years ago, according to the research firm International Data Corp.
Google can afford to make a phone that doesn’t generate huge sales because it brings in more than $200 billion annually from a digital ad network that’s anchored by its dominant search engine. A big chunk of the ad revenue flows from the billions of dollars that Google pays annually to lock in its search engine as the main gateway to the Internet on the iPhone and Samsung’s Galaxy lineup.
The agreements that have given Google’s search engine a lucrative position on phones and computers are the focal point of an ongoing antitrust trial in Washington, where the US Justice Department is trying to prove its allegations that Google has been abusing its power to stifle competition and innovation.


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.