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Gartner Highlights 10 Uses for AI-Powered Smartphones

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Artificial intelligence (AI) features will become a critical product differentiator for smartphone vendors that will help them to acquire new customers while retaining current users, according to Gartner, Inc. As the smartphone market shifts from selling technology products to delivering compelling and personalized experiences, AI solutions running on the smartphone will become an essential part of vendor roadmaps over the next two years.

Gartner predicts that by 2022, 80 percent of smartphones shipped will have on-device AI capabilities, up from 10 percent in 2017. On-device AI is currently limited to premium devices and provides better data protection and power management than full cloud-based AI, since data is processed and stored locally.

“With smartphones increasingly becoming a commodity device, vendors are looking for ways to differentiate their products,” said CK Lu, research director at Gartner. “Future AI capabilities will allow smartphones to learn, plan and solve problems for users. This isn’t just about making the smartphone smarter, but augmenting people by reducing their cognitive load. However, AI capabilities on smartphones are still in very early stages.”

10 Uses for AI-Powered Smartphones

“Over the next two years, most use cases will still exploit a single AI capability and technology,” said Roberta Cozza, research director at Gartner. “Going forward, smartphones will combine two or more AI capabilities and technologies to provide more advanced user experiences.”

Gartner has identified 10 high-impact uses for AI-powered smartphones to enable vendors to provide more value to their customers.

“Digital Me” Sitting on the Device

Smartphones will be an extension of the user, capable of recognizing them and predicting their next move. They will understand who you are, what you want, when you want it, how you want it done and execute tasks upon your authority.

“Your smartphone will track you throughout the day to learn, plan and solve problems for you,” said Angie Wang, principle research analyst at Gartner. “It will leverage its sensors, cameras and data to accomplish these tasks automatically. For example, in the connected home, it could order a vacuum bot to clean when the house is empty, or turn a rice cooker on 20 minutes before you arrive.”

User Authentication

Password-based, simple authentication is becoming too complex and less effective, resulting in weak security, poor user experience, and a high cost of ownership. Security technology combined with machine learning, biometrics and user behavior will improve usability and self-service capabilities. For example, smartphones can capture and learn a user’s behavior, such as patterns when they walk, swipe, apply pressure to the phone, scroll and type, without the need for passwords or active authentications.

Emotion Recognition

Emotion sensing systems and affective computing allow smartphones to detect, analyze, process and respond to people’s emotional states and moods. The proliferation of virtual personal assistants and other AI-based technology for conversational systems is driving the need to add emotional intelligence for better context and an enhanced service experience. Car manufacturers, for example, can use a smartphone’s front camera to understand a driver’s physical condition or gauge fatigue levels to increase safety.

Natural-Language Understanding

Continuous training and deep learning on smartphones will improve the accuracy of speech recognition, while better understanding the user’s specific intentions. For instance, when a user says “the weather is cold,” depending on the context, his or her real intention could be “please order a jacket online” or “please turn up the heat.” As an example, natural-language understanding could be used as a near real-time voice translator on smartphones when traveling abroad.

Augmented Reality (AR) and AI Vision

With the release of iOS 11, Apple included an ARKit feature that provides new tools to developers to make adding AR to apps easier. Similarly, Google announced its ARCore AR developer tool for Android and plans to enable AR on about 100 million Android devices by the end of next year. Google expects almost every new Android phone will be AR-ready out of the box next year. One example of how AR can be used is in apps that help to collect user data and detect illnesses such as skin cancer or pancreatic cancer.

Device Management

Machine learning will improve device performance and standby time. For example, with many sensors, smartphones can better understand and learn user’s behavior, such as when to use which app. The smartphone will be able to keep frequently used apps running in the background for quick re-launch, or to shut down unused apps to save memory and battery.

Personal Profiling

Smartphones are able to collect data for behavioral and personal profiling. Users can receive protection and assistance dynamically, depending on the activity that is being carried out and the environments they are in (e.g., home, vehicle, office, or leisure activities). Service providers such as insurance companies can now focus on users, rather than the assets. For example, they will be able to adjust the car insurance rate based on driving behavior.

Content Censorship/Detection

Restricted content can be automatically detected. Objectionable images, videos or text can be flagged and various notification alarms can be enabled. Computer recognition software can detect any content that violates any laws or policies. For example, taking photos in high security facilities or storing highly classified data on company-paid smartphones will notify IT.

Personal Photographing

Personal photographing includes smartphones that are able to automatically produce beautified photos based on a user’s individual aesthetic preferences. For example, there are different aesthetic preferences between the East and West — most Chinese people prefer a pale complexion, whereas consumers in the West tend to prefer tan skin tones.

Audio Analytic

The smartphone’s microphone is able to continuously listen to real-world sounds. AI capability on device is able to tell those sounds, and instruct users or trigger events. For example, a smartphone hears a user snoring, then triggers the user’s wristband to encourage a change in sleeping positions.


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NITDA Strengthens Collaboration with NIPSS to Drive Digital Innovation, Orange Economy Growth

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The National Information Technology Development Agency (NITDA) has reinforced its commitment to advancing Nigeria’s digital transformation agenda through strengthened collaboration with key strategic institutions, as it hosted the Director General of the National Institute for Policy and Strategic Studies (NIPSS), Professor Ayo Omotayo, alongside participants of the Senior Executive Course (SEC) 48, 2026.

The visit, which builds on an earlier strategic study tour, provided a platform for in-depth engagement on the role of digital innovation in driving sustainable economic growth, with particular focus on the Orange Economy.

Representing the Director General of NITDA, Kashifu Inuwa CCIE, the Director of Stakeholder Management and Partnerships, Dr Aristotle Onumo, highlighted the Agency’s commitment to fostering a vibrant digital ecosystem through inclusive policies, strategic partnerships, and capacity development initiatives.

“NITDA is committed to creating an enabling environment where innovation can thrive by bringing together government, private sector, academia, and creatives to drive Nigeria’s digital economy,” he stated.

Inuwa underscored the growing importance of the Orange Economy, describing it as a critical driver of innovation and economic value through intellectual property. He identified sectors such as digital content creation, film, animation, and digital art as key contributors to national development.

“The Orange Economy represents a powerful opportunity to transform our rich cultural heritage and creativity into sustainable economic growth,” he noted.

He further highlighted Nigeria’s unique advantage, particularly its youthful and creative population, while calling for stronger collaboration among stakeholders to fully harness the sector’s potential.

“With our youthful population and rich cultural assets, Nigeria is well-positioned to become a global leader in the Orange Economy if we deepen collaboration and investment across the ecosystem,” he added.

During the engagement, NITDA also presented its strategic initiatives aimed at supporting the digital and creative sectors, including digital infrastructure development, promotion of digital literacy, and implementation of policies that enable startups and innovators to scale.

Addressing challenges facing the sector, Inuwa pointed to issues such as limited access to funding, infrastructure gaps, weak intellectual property protection, and ecosystem fragmentation, while emphasising the need for coordinated action.

“Addressing challenges such as funding gaps, infrastructure deficits, and intellectual property protection is critical to unlocking the full potential of Nigeria’s creative economy,” he said.

The Agency reiterated its target of achieving 70 per cent digital literacy by 2027, noting that ongoing programmes are equipping millions of Nigerians with essential digital skills, including those in underserved and informal sectors.

In his remark, Professor Omotayo described the visit as an important opportunity to deepen understanding of how digital technologies are reshaping economic sectors, particularly the creative industry. He noted that the insights gathered would contribute significantly to policy recommendations aimed at strengthening Nigeria’s economic framework.

Participants of the SEC 48 programme engaged actively during the session, raising questions on capacity development, access to tools, and frameworks for protecting digital content. NITDA highlighted its ongoing collaborations with industry stakeholders to provide training, innovation hubs, and access to digital tools for young Nigerians.

The engagement concluded with a renewed commitment from both NITDA and NIPSS to strengthen collaboration in research, policy development, and capacity building, aimed at positioning Nigeria as a globally competitive force in the digital and creative economy.

 


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NRS Takes Over Mineral Royalties Collection Under New Tax Laws

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Nigeria Revenue Service (NRS) has assumed responsibility for collecting mineral royalties from mining operators nationwide, following new tax laws effective January 1, 2026.

NRS Takes Over Mineral Royalties Collection Under New Tax Laws

NRS

The shift emerged from a Thursday meeting between Solid Minerals Development Minister Dele Alake and NRS Chairman Dr. Zacch Adedeji. Their joint statement, endorsed by both, confirms NRS now administers all federally collectible revenues, including royalties.

Enacted by President Bola Tinubu on June 26, 2025, the Nigeria Tax Laws 2025 empower this transition. The Ministry of Solid Minerals Development remains a key partner, supplying pricing data, geological insights, and sector coordination.

NRS Special Adviser Dare Adekanmbi’s statement outlines collaborative steps: a nationwide sensitization program for operators on filing and payments; development of a digital royalty system; and regular joint technical sessions to address issues.

Both agencies pledge orderly, transparent implementation to boost the mining sector. Operators must comply with obligations and join upcoming programs.

The move aims to streamline revenue collection while fostering mining growth.


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Microsoft Revamps Copilot in Workplace AI Push

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Microsoft has rolled out a new set of features for its Microsoft 365 Copilot platform, including tools for complex, multi-step work and deeper research tasks, as competition in workplace artificial intelligence (AI) intensifies.

The update introduces Copilot Cowork, a capability aimed at handling long-running tasks across Microsoft 365 applications.

The feature is being made available through the company’s Frontier programme, which typically gives early access to experimental tools.

Microsoft is also integrating technology linked to Claude – an AI model developed by Anthropic –into Copilot, signalling a broader shift toward using multiple AI systems within a single product rather than relying on a single model.

Jared Spataro, chief marketing officer for AI at Work at Microsoft, says the company is positioning Copilot as a system embedded directly into workplace software, rather than a standalone tool.

“Microsoft 365 Copilot is your AI for work,” he says, adding that it draws on multiple AI models and is integrated into existing workflows.

Alongside this, Microsoft has upgraded its Researcher feature, which is designed to analyse information from multiple sources and generate structured reports.

A new “Critique” function separates the drafting and review process between different AI models – one generates an initial response, while another evaluates and refines it.

The company says this approach improves output quality, with Researcher showing gains on its internal benchmark for accuracy, completeness and objectivity.

Another addition, called Model Council, allows users to compare outputs from different AI models side-by-side, highlighting differences in responses and reasoning.

The updates form part of what Microsoft calls “Wave 3” of Copilot, as it pushes to embed generative AI deeper into enterprise software. The move reflects a wider industry trend towards combining models from multiple providers, including OpenAI and Anthropic, to improve performance and reliability.

 


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