By 2026, the market's pricing standards for AI technology have shifted entirely from expectations of pure technological breakthroughs to rigorous assessments of Return on Invested Capital (ROIC). Morgan Stanley is particularly optimistic about giants such as Amazon, META, and DoorDash, which can leverage AI to enhance efficiency and expand their businesses, and anticipates robust growth for cloud service providers. Conversely, segments facing disruptive uncertainties related to autonomous driving or agent technologies, such as ride-hailing, online travel, and smaller advertising platforms, will be assigned lower valuation multiples by the market.
As the artificial intelligence (AI) investment boom enters deeper waters, the narrative logic on Wall Street is undergoing a fundamental shift. According to Morgan Stanley's latest 2026 Internet Industry Outlook report, the market’s pricing criteria for AI technology have shifted entirely from expectations of mere technological breakthroughs to a stringent assessment of return on invested capital (ROIC). The ability to convert computing power into tangible revenue and profits has become the sole measure determining the valuation of tech stocks.
The Morgan Stanley analyst team led by Brian Nowak noted in their report that the market theme in 2026 will continue the trend from 2025, with capital flowing toward companies that can demonstrate substantial returns driven by GenAI or GPU technologies. This implies that only companies showing faster revenue growth, higher user engagement, and expanding earnings per share (EPS) and free cash flow (FCF) will be rewarded with market premiums.
Under this new standard, Morgan Stanley is particularly optimistic about$Amazon (AMZN.US)$、 $Meta Platforms (META.US)$ and$DoorDash (DASH.US)$giants that can achieve efficiency improvements and business expansion through AI, and predicts that cloud service providers (Hyperscalers) will experience robust growth. Conversely, market segments facing disruptive uncertainties from autonomous driving (AV) or agentic technologies, such as ride-hailing, online travel, and smaller advertising platforms, will receive lower valuation multiples.
In the report, the bank detailed the “Top Ten Debates” that will reshape the industry landscape in 2026, covering key topics such as the evolution of large language models (LLM), AI applications in physical goods and robotics, shifts in the search landscape, and the resurgence of dating apps. These debates provide investors with a comprehensive view of how AI technology is diffusing and monetizing within the real economy.
Debate One: The Arms Race for Large Models Cools Down; Applications Take Center Stage
By 2026, the competition over parameter counts in cutting-edge models will no longer be a point of market excitement. While we will still see new models like Grok 5, Claude 5, and GPT-6 being launched, investor focus will completely shift toward productization and monetization.
Google: The key lies in how deeply the Gemini model can be integrated into search, YouTube, and cloud services to drive revenue growth.
Meta: The market is watching whether Zuckerberg’s 'Super Intelligence Lab' can produce SOTA (state-of-the-art) models and translate them into advertising revenue and user stickiness.
Amazon: AWS growth is a given, but more importantly, the focus is on whether AI applications in retail, such as the Rufus shopping assistant, can bring tangible sales increases.
Debate Two: Where is the Return on Invested Capital (ROIC) for GenAI?
In 2025, the market is still anxious about AI-related capital expenditures (Capex); by 2026, the market will demand returns. Morgan Stanley predicts that 2026 will see a step-change increase in the adoption rate of GenAI technology among enterprises (from single-digit growth to high double digits).
Cloud giants benefit: Amazon Web Services (AWS), Google Cloud Platform (GCP), and$Microsoft (MSFT.US)$Azure are expected to grow stronger than anticipated. The surge in backlog indicates that enterprises are migrating workloads on a large scale to meet AI demands.
Diffusion effect: As bottlenecks in power and computing capacity ease, AI technology will spread from tech giants to broader sectors of the economy.
Investment insight: Look for companies with accelerating backlog growth in their cloud businesses, as this serves as a leading indicator of imminent ROIC realization.
Debate Three: Is the wave of layoffs over? Efficiency dividends brought by AI.
This may be the harshest but also the most profit-margin-friendly trend. 2026 could mark the first year when tech giants leverage GenAI to significantly enhance internal efficiency, thereby substantially slowing hiring or continuing layoffs.
Profit release: Morgan Stanley's model assumes that non-depreciation/non-advertising operating expenses (mainly labor costs) at Meta, Amazon, and Google will experience a significant slowdown in growth.
Valuation support: If these companies can control labor costs while achieving revenue growth, there will be substantial upside potential for EPS (earnings per share) and FCF (free cash flow).
This means investors must continue to closely monitor tech giants' operating expenditure (Opex) guidance, as efficiency improvements will remain a key pillar supporting high valuations.
Debate Four: Agentic Commerce — The ultimate form of e-commerce.
AI Agent (Intelligent Agent) will revolutionize the way consumers shop. Morgan Stanley has proposed a '5I' framework (Inventory, Infrastructure, Innovation, Increment, Income Statement) to evaluate who can win.
Vertical winners: Compared to general-purpose ChatGPT, players with specific vertical data and transaction closed loops (such as Amazon,$Walmart (WMT.US)$、 $Maplebear (CART.US)$ , DoorDash) will benefit first because they possess consumer trust and complete purchase histories.
OTA’s crisis: Online travel agencies (such as$Expedia (EXPE.US)$, Booking) face significant risks. If Google or OpenAI launches an Agent capable of directly planning trips and making reservations, the role of OTAs as traffic entry points will diminish, prompting a restructuring of their valuation system.
Debate Five: The 'singularity' of autonomous driving has arrived.
The year 2026 will be a turning point for the availability of autonomous vehicles (AVs). Service coverage will leap from 15% of the urban population by the end of 2025 to 32%.
The fate of Uber and Lyft: The market is concerned that AVs will disrupt ride-hailing, but Morgan Stanley believes this worry is exaggerated. AVs will not kill Uber; instead, they will expand the entire mobility market by reducing the cost per mile.
Key metrics: Monitor Waymo and$Tesla (TSLA.US)$'s deployment in challenging conditions like snowy weather and airport scenarios, which are indicators of technological maturity.
Morgan Stanley believes that autonomous driving is not the end of ride-hailing but an accelerator for cost optimization. Uber remains Morgan Stanley's top choice.
Debate Six: Embodied Intelligence – Amazon’s Hidden Ace.
While people are still discussing chatbots, tech giants have started to lay out 'Physical AI' – the integration of AI with robots and hardware.
Amazon's robotic warehouses: Amazon plans to add approximately 40 next-generation robotic warehouses by 2027. This is not merely about automation but optimizing logistics routes and inventory management through AI. Estimates suggest this could result in recurring cost savings of over $2 billion to $4 billion.
Autonomous delivery: Uber and DoorDash are building ecosystems for drones and automated delivery robots, which will directly reduce costly human delivery expenses.
Morgan Stanley believes investors should focus on companies capable of using AI to solve the problems of 'moving boxes' and 'delivering takeout,' as physical efficiency improvements provide a stronger competitive advantage than virtual chat functionalities.
Debate Seven: The AI Revolution in Online Grocery
The U.S. offline grocery market is worth a staggering $1.4 trillion, making it the largest potential goldmine for AI agents.
High-frequency necessity: Grocery shopping is both highly intricate and personalized, making it an ideal area for AI agent intervention (e.g., 'Purchase items based on last week’s list but replace milk with oat milk').
Winner takes all: Amazon, $Maplebear (CART.US)$ and DoorDash are in advantageous positions. Particularly for Amazon, its accelerated push into the fresh food sector and fee reforms could become the next profit growth driver.
Debate Eight: The Future of Search and ChatGPT’s Advertising
Search is not dead; it is merely evolving.
Query volume surge: The emergence of AI-powered search engines has actually expanded the entire query market (Total Addressable Market). Morgan Stanley predicts that the compound annual growth rate of searches from 2023 to 2026 will reach 14%.
Google's Moat: Surveys indicate that in commercial queries, Google's Gemini still holds a slight edge over ChatGPT.
ChatGPT’s advertisements: As ChatGPT begins to introduce ads, it will first impact less effective, experimental advertising budgets (e.g., $Pinterest (PINS.US)$, $Snap Inc (SNAP.US)$ ), rather than Google's core search ads.
Debate Nine: The AI Revolution in Game Development
“World Models” are transforming game development.
Cost Reduction and Efficiency Gains: AI-generated videos and interactive content will significantly lower the barriers and costs of game production.
Losers and winners: This trend is a long-term positive for giants with cloud computing power and AI tools (Amazon, Google), but for tool providers like $Unity Software (U.US)$ and $Roblox (RBLX.US)$, it represents both an opportunity and a disruptive risk.
It is worth noting that the AI transformation in the gaming industry is still in its early stages. Attention should be paid to those who provide underlying computing power and generative tools—the “pickaxe sellers.”
Debate Ten: Redemption for Dating Apps
After years of stagnant user growth, the online dating industry may see a turning point in 2026.
AI Matchmaker: Dating apps Tinder and Bumble are leveraging GenAI to enhance matching algorithms, reducing users' 'swipe fatigue.'
Valuation recovery: Tinder’s parent company, $Match group (MTCH.US)$And $Bumble (BMBL.US)$ , already has extremely low valuations. If AI can successfully enhance user experience and restart growth, these two companies will experience significant valuation recovery.
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