Best Buy’s decision to raise its annual sales and profit forecasts is providing an early indication that artificial intelligence is beginning to influence consumer electronics spending beyond the technology companies building AI itself. The US electronics retailer now expects annual revenue of $42.3 billion to $42.8 billion, compared with its previous range of $41.2 billion to $42.1 billion. Adjusted earnings per share are also expected to reach $6.70 to $6.90, up from the earlier forecast of $6.30 to $6.60.

The significance of the upgrade is not simply that consumers are buying more computers and smartphones. It is that AI is creating a reason to replace devices that many customers might otherwise have continued using. New processors, AI-enabled software and specialised hardware are giving retailers an opportunity to revive a replacement cycle that had weakened as consumers became more cautious about expensive discretionary purchases.

Best Buy’s second-quarter performance supports that interpretation. Revenue rose 3.6% to $9.78 billion, while comparable sales increased 4.1%, substantially exceeding the 1.3% increase expected by analysts. Computing and home theater were among the strongest categories, while newer products such as AI glasses and trading cards also contributed to growth.

The improvement nevertheless needs to be viewed carefully. Consumers remain sensitive to prices, and higher memory costs have already pushed computer prices upward. Best Buy’s forecast increase therefore does not mean that households have suddenly returned to unrestricted spending. Instead, it suggests that consumers are prioritising purchases when technological improvements create a sufficiently strong reason to upgrade.

AI Is Turning Technology Obsolescence Into a Sales Driver

Consumer electronics traditionally depend on replacement cycles. A laptop, smartphone or television is purchased, used for several years and eventually replaced when performance deteriorates, software support changes or a new product provides enough additional value. The difficulty for retailers is that consumers can postpone that decision when existing devices continue to work adequately.

Artificial intelligence is beginning to change that calculation, particularly in computing. Newer processors are designed to handle AI workloads locally, while software increasingly incorporates features that depend on dedicated AI processing capabilities. This gives manufacturers a way to distinguish new devices from older models even when conventional specifications may not justify an immediate replacement.

Best Buy has identified computing as a particularly strong category, consistent with a broader industry upgrade cycle. The retailer has previously described the typical technology replacement period as roughly three to seven years, meaning that large groups of consumers naturally reach a replacement point at different times. AI gives manufacturers and retailers an additional reason to bring those purchases forward rather than waiting for devices to fail completely.

The effect is particularly important for computers because AI applications increasingly require specialised processing capabilities. Devices equipped with dedicated AI processors can perform certain workloads locally rather than depending entirely on cloud computing. That does not mean every consumer needs an AI-enabled computer, but it gives retailers a clearer technological distinction between older hardware and newer generations.

The same principle is beginning to appear in smartphones and wearable devices. AI assistants, image processing, translation and other features are increasingly being integrated into consumer products. The commercial opportunity depends on whether consumers consider those functions sufficiently useful to justify paying for new hardware. Best Buy’s latest results suggest that, in at least some categories, that threshold is beginning to be reached.

Consumers Are Upgrading Selectively, Not Spending Freely

The strength of Best Buy’s results should not be mistaken for evidence of a broad consumer spending recovery. The company itself has acknowledged that shoppers remain careful about major purchases, particularly as food, fuel and other household costs remain elevated. Customers are still comparing prices and delaying purchases when they do not see an immediate need.

That makes the AI-driven upgrade cycle particularly significant. When consumers are financially cautious, retailers need a compelling reason to persuade them to spend. A device that is merely marginally faster may not be enough. A new computer that supports capabilities unavailable on an older machine can create a stronger argument for replacement.

The distinction is visible in Best Buy’s product mix. Computing and mobile phones have shown stronger trends, while categories such as appliances and some home entertainment products remain more dependent on broader discretionary spending conditions. This suggests that technological urgency can overcome some consumer caution, whereas products without an obvious technological trigger remain more exposed to household budget pressures.

Price remains a major constraint, however. Higher memory costs have pushed computer prices upward, and Best Buy has reported raising computing prices by a mid-teens percentage while unit sales declined by a high single-digit rate. The fact that revenue can remain resilient despite fewer units demonstrates the importance of average selling prices, but it also shows that the upgrade cycle is not entirely volume-driven.

This creates a more complicated retail environment. AI can increase the perceived value of new hardware, but component inflation can simultaneously make that hardware more expensive. Retailers must therefore persuade consumers that the additional capabilities justify the higher price while maintaining enough promotional activity to keep purchases within household budgets.

Best Buy Is Building New Profit Engines Around Hardware

The more important strategic development may be that Best Buy is trying to reduce its dependence on selling physical products. Hardware retail traditionally operates on relatively thin margins, making profitability vulnerable to price competition and changes in consumer demand. The company’s expansion of advertising and its online marketplace provides additional sources of higher-margin revenue that do not depend entirely on selling Best Buy’s own inventory.

The marketplace allows third-party sellers to expand the number of products available to customers without requiring Best Buy to purchase and hold all of that inventory itself. The company had already signed more than 1,100 marketplace sellers by the end of its previous fiscal year, with most active storefronts recording sales during a typical week. The model can increase product selection while creating opportunities for advertising revenue from participating sellers.

Advertising is potentially even more important because retailers possess valuable information about what customers search for, compare and purchase. Best Buy reported more than $900 million in advertising collections during fiscal 2026, an increase of more than 7% from the previous year, while its advertising partner base expanded to 750. The company expects advertising collections to grow by approximately 10% during the current fiscal year.

These businesses matter because they can improve profitability even when hardware margins are under pressure. A retailer that earns money from selling a laptop has to manage inventory, shipping, store expenses and product discounts. Advertising revenue attached to that transaction can provide additional income without requiring the retailer to take ownership of another physical product.

Best Buy is therefore attempting to transform its role from a traditional electronics seller into a technology marketplace and advertising platform. The AI upgrade cycle provides the immediate sales growth, while marketplace and advertising are intended to make the underlying business more profitable and less dependent on the physical retail margin.

AI Is Also Changing How Best Buy Sells Technology

The company is simultaneously preparing for AI to change the shopping process itself. Best Buy has partnered with OpenAI to make its product catalogue easier to discover through ChatGPT and is working with Google on systems that could allow customers to purchase products through AI-driven search experiences. It has also integrated with an AI commerce platform that enables native checkout.

That development could become strategically important because AI agents may eventually change how consumers research products. Instead of visiting multiple websites, comparing specifications and reading reviews manually, a consumer could ask an AI system to identify suitable products based on a budget and a set of requirements. Retailers that make their product information accessible to those systems could become more visible during the purchasing process.

Best Buy’s physical stores also give it an advantage that purely online retailers cannot easily reproduce. Consumers purchasing complex technology often want demonstrations, explanations and assistance before spending hundreds or thousands of dollars. The company has continued investing in specialised store experiences and vendor partnerships, including dedicated spaces for AI glasses and other emerging technologies.

That combination of physical expertise, online selection and AI-assisted discovery could become increasingly valuable as consumer electronics become more complicated. The challenge is ensuring that technological complexity becomes a reason to visit Best Buy rather than a reason to shop entirely through automated online systems.

The Upgrade Cycle Gives Best Buy a Window for Reinvention

Best Buy’s improved forecast ultimately reflects two developments occurring at the same time. AI is creating a new reason for consumers to replace computers and other devices, while the retailer is building new revenue streams around advertising, marketplace sales and AI-assisted commerce. The first provides demand; the second is intended to improve the quality of the revenue that demand generates.

The company’s revised outlook is therefore more significant than a simple increase in expected sales. Revenue growth of 1.9% to 3% in comparable sales represents a modest improvement rather than a return to the rapid expansion associated with earlier periods of consumer electronics growth. The stronger signal is that Best Buy is finding ways to generate growth in a market where consumers remain highly selective.

The sustainability of that improvement will depend on whether AI features become genuinely useful rather than merely another marketing label. If consumers continue to perceive meaningful differences between older and newer devices, replacement cycles could remain stronger. If AI capabilities fail to deliver enough practical value, the current upgrade wave could weaken once early adopters have replaced their hardware.

Best Buy is also entering this next phase with a leadership transition. Jason Bonfig is scheduled to succeed Corie Barry as chief executive later this year, while Anne Bramman has been named chief financial officer. That transition comes as the company attempts to balance traditional retail operations with a more technology-driven business model.

The immediate evidence is encouraging, but it does not eliminate the underlying pressures facing electronics retailers. Consumers remain price-conscious, hardware costs are rising and some product categories remain weak. Best Buy’s opportunity lies in making AI-driven hardware useful enough to restart replacement demand while using advertising, marketplace services and AI-enabled shopping to capture more value from each customer.

The retailer is therefore betting that AI will do more than create a new generation of devices. It could also provide the reason consumers finally replace older technology, giving Best Buy the sales momentum it needs while its newer businesses attempt to reshape how the company makes money.

(Adapted from TradingView.com)