AI Stocks Today: Nvidia, Broadcom, Meta and New Robotics Bets Shape the 2026 AI Boom

Artificial intelligence (AI) is still the story driving global markets, and December 8, 2025 brought a fresh wave of news that reshapes how investors should think about AI stocks going into 2026.

On one side, Wall Street is doubling down on chipmakers, cloud giants, and “picks‑and‑shovels” plays powering the AI infrastructure build‑out. On the other, major institutions are openly warning about bubble risks, an eventual “AI winter,” and the possibility of a painful reset in overheated names.

This article pulls together today’s key AI stock headlines, forecasts, and analyses and turns them into a structured game plan for investors following AI stocks into 2026. (Nothing here is personal investment advice, just information to help you do your own homework.)

1. The AI boom is now an infrastructure super‑cycle

Before zooming in on individual AI stocks, it’s worth understanding just how big this cycle has become.

According to a new outlook from Fidelity, the AI theme has evolved from “cool chatbots” into a full‑blown infrastructure super‑cycle. Their research highlights: ^[1]

Annual capital expenditure (CapEx) at Amazon, Microsoft, Alphabet and Meta has exploded from roughly $100 billion in 2023 to over $300 billion in 2025, with projections that this could exceed $500 billion within a few years.
AI‑related investment is estimated to account for around 60% of recent U.S. economic growth, as spending spreads from chips to energy, utilities, data‑center real estate, and networking.
The “Magnificent 7” — including Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta and Tesla — now make up roughly one‑third of the S&P 500’s total value, largely thanks to AI. ^[2]

At the macro level, the OECD just updated its global forecasts, explicitly calling out AI as a key growth driver. It now expects global GDP growth of 3.2% in 2025 and 2.9% in 2026, noting that a wave of AI investment is helping offset the drag from higher U.S. tariffs. But it also warns that “investor optimism about AI could trigger a stock market correction if expectations are not met.” ^[3]

In other words: the AI boom is propping up growth and valuations — but that linkage cuts both ways if sentiment turns.

2. Today’s big AI stock calls: who Wall Street likes heading into 2026

2.1 BofA doubles down on AI chips after AWS re:Invent

The clearest bullish signal today came from Bank of America, which published fresh research after Amazon’s AWS re:Invent conference.

BofA argues that the event is “another sign there’s no AI bubble just yet” and highlights five chip stocks it sees as prime beneficiaries of Amazon’s latest AI push: ^[4]

Nvidia (NVDA) – Still the “least surprising” winner, thanks to a multi‑year partnership with AWS centered on NVLink Fusion, a high‑bandwidth interconnect designed to link AI chips more efficiently inside data centers. ^[5]
Astera Labs (ALAB) – Recently sold off on fears Nvidia’s new tech would displace its connectivity solutions, but BofA sees that as premature, arguing that growing AI demand may expand the pie rather than eliminate Astera’s role. ^[6]
Advanced Micro Devices (AMD) – A long‑time AWS supplier; BofA notes AWS wasn’t loudly marketing AMD AI accelerators at re:Invent, but says AMD still has line of sight into multi‑gigawatt AI deployments. ^[7]
Marvell Technology (MRVL) – Viewed as a key data‑center networking and custom ASIC provider for the new AI infrastructure wave. ^[8]
Credo Technology (CRDO) – A high‑speed data‑center connectivity play that could ride the shift to faster networking for AI workloads. ^[9]

BofA keeps a $275 price target on Nvidia, based on about 28× estimated 2027 earnings (ex‑cash), pointing out that this sits within Nvidia’s historical forward P/E range and is justified by its dominant share in AI compute and networking. ^[10]

2.2 Morgan Stanley raises Nvidia and Broadcom targets amid tight AI supply

Separately, Morgan Stanley just raised its price targets on Nvidia and Broadcom (AVGO) after checks in Asia and the U.S. suggested broad‑based AI strength and tightening supply across the semiconductor chain. ^[11]

Key takeaways from their note: ^[12]

Nvidia is expected to maintain dominant market share in data‑center GPUs, with demand constrained more by capacity than by customer appetite — potentially through 2026.
Nvidia’s data‑center revenue is tracking closer to the aggressive roadmap management outlined earlier this year, prompting a target increase to $250.
Broadcom’s price target was lifted to $443, helped by stronger‑than‑expected demand for Google’s TPU supply chain, where Broadcom designs custom chips.
Analysts describe a “gold rush mentality” for AI hardware, with bottlenecks in advanced packaging (like CoWoS) and high‑bandwidth memory further reinforcing a bullish backdrop.

At the same time, other coverage notes that Broadcom’s AI business is booming — AI‑related revenues are expected to grow roughly 66% year‑on‑year this quarter — but its valuation is stretched, trading at a forward P/E well above both its historical average and peers. ^[13]

2.3 “Cheap” AI leaders: CoreWeave, Alphabet, Meta, Microsoft and Oracle

Despite eye‑watering numbers in parts of the AI space, some analysts argue that not all AI leaders are overpriced.

A new piece titled “My Top 5 Cheap AI Stocks to Buy Before 2026” highlights CoreWeave (CRWV), Alphabet (GOOG/GOOGL), Meta Platforms (META), Microsoft (MSFT) and Oracle (ORCL) as AI names still trading at reasonable valuations relative to their growth. ^[14]

Four of the five trade at roughly 26–31× forward earnings, which the author argues is fair given their scale and AI momentum.
CoreWeave, which rents out GPU‑rich infrastructure for AI workloads, went public in 2025 and initially surged over 300% before pulling back. Wall Street still expects more than 55% upside over the next 12 months, despite the volatility. ^[15]

The takeaway: even within large‑cap AI, there are pockets that look more like “growth at a reasonable price” rather than full‑blown bubble territory.

2.4 Bold prediction: Microsoft and Alphabet could outgrow Nvidia + Palantir by 2026

In another high‑profile call today, a Nasdaq‑published analysis argues that Alphabet and Microsoft together could be worth more than Nvidia and Palantir combined by the end of 2026. ^[16]

The logic:

Nvidia and Palantir (PLTR) are currently worth about $4.8 trillion combined (roughly $4.4T + $0.4T). ^[17]
Alphabet’s market cap is around $3.8 trillion and would need to rise about 29% to hit $4.9 trillion.
Microsoft sits near $3.6 trillion and would need roughly 36% upside to reach the same level. ^[18]

Behind that forecast are some very AI‑specific datapoints:

Alphabet’s Gemini‑based AI assistant has over 650 million monthly active users, with AI tools driving accelerating growth in both advertising and Google Cloud. ^[19]
Google Cloud’s revenue from generative‑AI products is growing over 200% year‑on‑year, and total cloud revenue growth has re‑accelerated to the mid‑30s. ^[20]
Microsoft’s suite of AI copilots has crossed 150 million monthly active users, and management plans to roughly double data‑center capacity in the next two years — a move that could sustain above‑market growth for Azure. ^[21]

The author concedes the projection is aggressive, but notes that similar valuation multiples were seen as recently as mid‑2025.

3. Where hedge funds and billionaires are placing their AI bets

3.1 Billionaires load up on Meta and Alphabet

A widely shared article today tracks how multiple hedge‑fund billionaires added aggressively to Meta Platforms and Alphabet in Q3 2025. ^[22]

Investors like Stanley Druckenmiller, Israel Englander, Ken Griffin and Philippe Laffont substantially increased positions in both companies, with Meta and Alphabet climbing into the top tiers of their portfolios. ^[23]
The thesis: Meta and Alphabet are AI‑first platforms — Meta uses AI to optimize content and ads across Facebook, Instagram and WhatsApp, while Alphabet leverages AI in Search, YouTube and cloud — all at scale and with strong profitability. ^[24]

For private and institutional investors alike, that’s a strong signal that large, cash‑generating platforms remain core AI exposure, not just chipmakers.

3.2 Hedge‑fund radar: C3.ai, Monday.com, CoreWeave and more

A new Insider Monkey piece, published this morning, lists “10 AI Stocks on the Market’s Radar”, combining hedge‑fund positioning with AI narratives. ^[25]

Among the names highlighted:

C3.ai (AI) – Backed by a “Market Outperform” rating and a $24 price target from Citizens, anchored in its broad set of industry‑specific AI and gen‑AI applications and a strong partnership with Microsoft that has yielded around 100 customer agreements across 17 industries. ^[26]
Monday.com (MNDY) – A work‑management software company integrating AI features like “vibe coding” to help users build workflows; newer products (CRM, dev, service) have grown over 80% year‑on‑year, vs ~22% for its core product. ^[27]
Other tickers mentioned include CoreWeave, Adobe, Salesforce, Oracle, Amazon, Meta and Alphabet, underscoring how hedge funds are spreading AI bets across software, infrastructure and platforms rather than betting on just one part of the stack. ^[28]

The recurring theme across today’s flow data: institutional capital is tilting toward profitable, scaled AI platforms and high‑moat infrastructure providers, while still selectively backing smaller, high‑growth names.

4. Deal of the day: Nvidia and SoftBank eye a $14 billion bet on robotic AI

One of the most eye‑catching headlines today came from Reuters: SoftBank Group and Nvidia are in talks to invest over $1 billion in Skild AI, a robotics‑focused AI startup, at a valuation of about $14 billion. ^[29]

Key details: ^[30]

The deal would nearly triple Skild AI’s valuation from its roughly $4.7 billion Series B earlier in 2025.
Founded in 2023 by former Meta AI researchers, Skild AI builds foundation AI models for robots — it doesn’t manufacture robots, but develops the AI brains that handle perception and decision‑making.
Existing backers reportedly include Amazon and Lightspeed Venture Partners, making this a potential who’s‑who cap table of AI and robotics.
Skild AI launched its first general‑purpose model for robotics in July 2025, targeting tasks from industrial logistics to household chores.

For investors, the message is clear: the AI arms race is spilling into humanoid and industrial robotics, and leading players like Nvidia and SoftBank want exposure not just to chips and cloud, but also to the software layers that will run on top of that hardware.

5. Is the AI boom becoming a bubble? Fresh warnings and “AI winter” scenarios

Not all of today’s news is bullish.

5.1 Nasdaq: AI bubble risks are real, but leaders may ride it out

A new Nasdaq article titled “Is the AI Boom Becoming a Bubble? Here’s What Investors Should Watch.” tackles exactly this question. ^[31]

Some of its key points:

Nvidia, Taiwan Semiconductor (TSMC) and Alphabet have seen their stocks soar, but they also posted massive earnings growth in the latest quarter — around 60% EPS growth for Nvidia, 39% for TSMC, and 35% for Alphabet. ^[32]
The author argues that the real bubble risk lies in unprofitable, speculative AI names, while these large leaders have the earnings power to potentially weather an AI slowdown much better. ^[33]
OpenAI CEO Sam Altman is quoted as saying we are both in a phase where investors are overexcited about AI and that AI is the most important technological shift in a very long time — a neat summary of the tension investors face. ^[34]

The piece suggests that if the bubble deflates slowly, top‑tier AI stocks might see a sharp pullback rather than a collapse, possibly creating entry points for long‑term investors.

5.2 BCA Research: rising odds of an “AI winter”

A separate note compiled by Investing.com highlights research from BCA Research, which goes even further and explicitly raises the odds of an “AI winter” in the next 1–3 years. ^[35]

BCA’s view in brief:

It assigns only about a 5% probability to a true AGI‑style AI breakthrough that would justify the most euphoric market expectations.
Instead, it sees an 80% chance that AI ultimately delivers “moderate” productivity gains of roughly 0.4–0.5% per year — helpful, but not enough to validate all current valuations. ^[36]
A more adverse “bust” scenario, where AI capex badly overshoots and productivity disappoints, carries around 15% odds. ^[37]
BCA estimates that $9–$12 trillion in U.S. equity gains since late 2022 cannot be fully explained by earnings or interest rates, implying that AI enthusiasm has become a major driver of asset prices. ^[38]

In BCA’s base case, an AI winter would mean slower AI capex, a cooling in data‑center buildouts and a significant correction in tech/growth stocks — especially those most tightly tied to the AI narrative.

5.3 Yale Insights: when AI hype rhymes with the dot‑com era

Adding to the caution, a Yale Insights analysis compares today’s AI euphoria to past bubbles. It notes that: ^[39]

AI‑related capital expenditures have already surpassed U.S. consumer spending as the primary driver of growth in early 2025, accounting for about 1.1% of GDP growth.
Since the launch of ChatGPT in November 2022, AI‑linked stocks have contributed about 75% of S&P 500 returns, 80% of earnings growth and 90% of capital‑spending growth, according to data from JPMorgan.
RBC research warns that after huge outperformance by the “Magnificent 7,” their earnings growth is expected to converge with the rest of the S&P 500 in 2026, even as their share of market cap remains outsized.

Many CEOs and investors surveyed in the piece still believe strongly in AI’s long‑term impact, but a significant minority are openly worried that current spending paths are unsustainable.

5.4 OECD: AI helps growth now but could amplify corrections later

Returning to the OECD’s fresh Economic Outlook, we get a similar dual message: ^[40]

AI investment, alongside fiscal support and expected Fed rate cuts, is supporting growth in the U.S. and globally, despite trade frictions and tariffs.
But if optimism about AI fades or adoption disappoints, the organization warns that a stock‑market correction is a real risk, given how much hope has already been priced in.

Put together, today’s commentary suggests investors should treat AI as a long‑term structural theme — but be prepared for significant volatility, especially if capex or adoption stumble.

6. Key AI stocks to watch after today’s headlines

This is not a recommendation list, but based on today’s news flow and recent analysis, here’s how several core AI stocks and themes stack up right now.

6.1 AI infrastructure leaders

Nvidia (NVDA)
Still the center of the AI trade. BofA and Morgan Stanley both reaffirm it as a primary winner, citing tight GPU supply, a massive backlog in data‑center demand, and deeper ties to AWS via NVLink Fusion. ^[41]
Key question for 2026: can it maintain its dominance as hyperscalers experiment with custom chips and as valuations already embed years of hyper‑growth?
Broadcom (AVGO)
A core “picks‑and‑shovels” play, supplying custom AI accelerators (XPUs), high‑speed networking and Ethernet fabrics that link tens or hundreds of thousands of AI chips. AI revenue is expected to jump 66% year‑on‑year, but the stock trades at a rich premium to its own history and sector peers. ^[42]
Key catalyst: Q4 earnings on Dec. 11, which Investor’s Business Daily frames as part of an “AI show‑me moment” for both Broadcom and Oracle as investors demand proof that earnings can keep up with expectations. ^[43]
AMD (AMD)
An AWS partner and the main challenger to Nvidia in AI accelerators, backed by BofA’s bullish thesis that it has visibility into multi‑gigawatt AI deployments. ^[44]
Watch for: execution in scaling AI chip production and whether it can convert design wins into materially faster revenue growth, especially as some investors fear it is still “late” relative to Nvidia.
Marvell Technology (MRVL), Credo Technology (CRDO), Astera Labs (ALAB)
These names sit deeper in the AI stack — handling high‑speed interconnects, optical networking and custom ASICs — and feature explicitly in BofA and Morgan Stanley’s bullish AI lists. ^[45]
Risk: they are more cyclical and sensitive to any slowdown in the AI build‑out or changes in the hyperscalers’ internal chip strategies.

6.2 Cloud and platform giants

Alphabet (GOOG/GOOGL)
Emerging as an AI infrastructure and software leader: Gemini‑based products are driving faster growth in both advertising and cloud, with generative‑AI product revenue more than tripling year‑on‑year. ^[46]
Hedge funds and billionaire investors have been adding to Alphabet, seeing a combination of scalable AI monetization and still‑reasonable valuation multiples. ^[47]
Microsoft (MSFT)
Leveraging its dominance in enterprise software and cloud to distribute AI copilots and Azure AI services. Copilot usage is ramping quickly, and management plans to double data‑center capacity within two years, reinforcing its role as a top AI infrastructure player. ^[48]
Meta Platforms (META)
Second‑largest digital advertiser, using AI to optimize content ranking and ad targeting across its social platforms. Billionaire investors have significantly boosted their stakes, betting that Meta’s AI‑powered ad engine and Llama‑based ecosystem can drive both revenue growth and margin expansion. ^[49]
Oracle (ORCL)
Positioned as an AI‑enabled database and cloud provider; market attention is focused on upcoming earnings, where Oracle and Broadcom together are being framed as a test case for whether AI expectations are now too high. ^[50]

6.3 Software and application‑layer AI

C3.ai (AI)
Enterprise AI software focused on industry‑specific applications (predictive maintenance, supply chain, etc.). Recent commentary highlights strong growth in federal bookings and a deepening partnership with Microsoft, but also notes past revenue volatility and a leadership transition. ^[51]
Monday.com (MNDY)
A workflow platform weaving AI into productivity tools. Analysts see it as a “Rule of 50+” business (fast growth plus solid free‑cash‑flow margins) whose valuation may underestimate how AI features can support ongoing 20%+ growth. ^[52]
Palantir (PLTR)
Long associated with data analytics and government contracts, Palantir is now framed in some research as part of the trillion‑dollar‑plus club of future AI winners, with AI‑driven platforms increasingly adopted by commercial customers. ^[53]

6.4 Emerging and speculative AI plays

CoreWeave (CRWV)
A pure‑play AI infrastructure provider that rents access to GPU‑rich clusters. After a spectacular post‑IPO surge and subsequent pullback, it is still seen by some analysts as offering significant upside if AI demand remains capacity‑constrained and CoreWeave can differentiate on service and economics. ^[54]
Skild AI (private)
Not a listed stock, but today’s Reuters report on a potential $14 billion valuation shows how aggressively capital is chasing robotics‑focused AI platforms. If the deal closes, it may boost sentiment around public robotics and automation plays that could benefit from similar tailwinds. ^[55]
Other watch‑list names from hedge‑fund and list‑based research include Astera Labs, Credo, Snowflake, Super Micro Computer, Adobe and Salesforce, all playing different roles in storing, moving and making sense of data in an AI‑first world. ^[56]

7. How investors can navigate AI stocks in late 2025

Given today’s mix of hype and genuine earnings power, here are some general principles investors are drawing from the latest research (again, not personal advice):

Differentiate leaders from lottery tickets
Today’s analyses repeatedly stress the importance of focusing on profitable AI leaders — Nvidia, TSMC, Alphabet, Microsoft and other cash‑rich giants — versus smaller, unprofitable names whose valuations may be most vulnerable if the cycle cools. ^[57]
Respect the “AI winter” risk
BCA Research, the OECD and Yale commentaries all caution that AI spending could slow over the next 1–3 years, potentially triggering a broad tech correction if expectations overshoot reality. That doesn’t kill the long‑term thesis, but it raises the importance of position sizing and diversification. ^[58]
Watch the earnings vs. narrative gap
Investor’s Business Daily’s framing of an “AI show‑me moment” for Oracle and Broadcom captures a wider truth: as valuations rise, the market will increasingly demand earnings and free‑cash‑flow growth to match the story. Misses or slower‑than‑expected guidance could be punished. ^[59]
Think in “stacks,” not tickers
Today’s coverage spans the entire AI stack: chips (Nvidia, AMD, Broadcom, Marvell), networks and data centers (Credo, Super Micro, utilities), cloud platforms (Microsoft, Alphabet, Amazon, Oracle), and application‑layer software (C3.ai, Monday.com, Palantir). Many analysts and hedge funds are building exposure across that stack, rather than betting on a single stage. ^[60]
Be ready for volatility, even if you’re bullish long‑term
Even the most optimistic voices — including Nvidia’s partners and long‑only asset managers — acknowledge that an AI cycle of this size is unlikely to be smooth. Pullbacks, rotations out of crowded names, and sentiment swings are part of the package, especially if macro conditions or regulation change. ^[61]

Final thought

On December 8, 2025, the AI stock story is not just about one ticker. It’s about a global investment wave reshaping everything from chips and data centers to cloud platforms, enterprise software, and even robotics — all while policymakers and researchers quietly warn that the market may be getting ahead of itself.

For investors, the challenge is simple to describe but hard to execute:
capture the long‑term AI opportunity without being crushed by short‑term euphoria.

Do your own research, know your time horizon and risk tolerance, and treat today’s AI news — bullish and bearish — as raw material for a disciplined plan rather than a reason to chase the latest spike.