The landscape for U.S. tech stocks has shifted dramatically in 2026. After two years of intense debate over “AI bubbles” and stretched valuations, new data suggests the sector may be entering a new phase of opportunity.
While software and AI infrastructure companies are trading at some of their most attractive valuations in years, hardware manufacturers like Nintendo are facing the unintended consequences of the AI boom: rising component costs, tighter supply chains, and mounting pressure on profit margins.
AI Fundamentals Drive Tech Valuations Lower
Throughout 2024 and 2025, investors worried that the “Magnificent Seven” had become overextended. By October 2025, the forward P/E ratio for the S&P 500 Information Technology sector had climbed above 30x, fueling concerns that AI enthusiasm had pushed valuations too high.
However, strong earnings growth has started to change that narrative.
A series of bumper earnings seasons allowed major tech firms to significantly increase profits, effectively lowering valuation multiples even as stock prices remained elevated. As earnings expanded, the sector’s valuation profile became more attractive relative to expected growth.
According to Morningstar analysis, the AI investment theme is now trading at its largest discount since 2019. Chief equity strategist Michael Field described the current setup as a “fantastic entry point,” pointing to continued strength in demand for semiconductors, data centers, and AI infrastructure.
AI Infrastructure Spending Continues to Accelerate
Despite concerns about overheating in the AI sector, capital spending trends show little sign of slowing.
Capital expenditure (capex) among the “Magnificent Seven” is now projected to reach $725 billion in 2026, up from previous estimates of $670 billion. The continued rise in infrastructure investment reflects the growing competition to secure long-term leadership in AI computing.
Strategists at J.P. Morgan Private Bank argue that technology has become a “universal trade” for investors. Whether markets are focused on inflation protection, defensive cash flow, or long-term growth, capital continues to flow toward large technology companies.
This broader secular trend suggests that AI spending may prove more resilient than traditional cyclical investment waves.
Nintendo and Hardware Firms Face the AI Memory Crunch
While AI software and infrastructure companies benefit from the boom, hardware manufacturers are dealing with a very different reality.
The rapid expansion of AI data centers is increasing pressure across global semiconductor and memory supply chains, creating higher costs for consumer electronics producers.
Nintendo recently announced a major price increase for its Switch 2 console. Beginning September 1, the U.S. retail price will rise by $50, from $449.99 to $499.99.
The move follows similar pricing actions by Sony, which previously raised PlayStation 5 prices by as much as $150.
Why Console Prices Are Rising
Memory Chip Crunch
AI data centers are consuming a growing share of global memory chip production, driving prices sharply higher and tightening supply conditions across the broader semiconductor market.
Increased Component Costs
The surge in demand for advanced components has created an estimated 100 billion yen ($637.8 million) impact on Nintendo’s bottom line.
Tariff Measures
New trade regulations and tariff policies are adding further pressure to manufacturing and import costs.
Hardware Growth Faces New Challenges
The financial outlook for hardware-focused companies remains cautious.
Nintendo has lowered its Switch 2 sales forecast to 16.5 million units for the fiscal year ending March 2027, down from nearly 20 million units the previous year. For a second-year console cycle, this is an unusual trend, as hardware sales typically accelerate rather than decline.
To offset weaker hardware momentum, Nintendo is increasingly relying on the strength of its intellectual property ecosystem.
The Super Mario Galaxy Movie has generated nearly $900 million globally, while software titles such as Pokémon Pokopia continue to outperform expectations.
Analysts believe that hardware companies facing rising memory and component costs will need to prioritize blockbuster first-party games and stronger software ecosystems to maintain consumer demand.
The Growing Divide in the Tech Sector
The tech industry in 2026 is becoming increasingly divided between two very different business models.
On one side, software and AI infrastructure companies offer some of the strongest valuation-to-growth opportunities seen in years, supported by rising earnings and massive AI investment.
On the other, hardware and consumer electronics companies are operating in a far more difficult environment, where supply chain pressures and rising input costs are reducing margins and limiting growth potential.
As the AI economy continues to expand, investors remain drawn to the scale, cash flow, and resilience of major technology firms. At the same time, the physical constraints of chips, memory, and infrastructure may become one of the biggest long-term risks to profitability across the broader tech sector.