Nvidia, AMD, and Micron all dropped in October but analysts see strong 2027 ahead. Nvidia told investors to expect 70% growth next year, while Broadcom plans to double its AI semiconductor revenue. Micron benefits from tight memory chip supply that is expected to stay constrained through 2028. All three trade at lower forward earnings multiples than the S&P 500.
Nvidia dominates the value conversation compared to AMD. Nvidia's Q2 data center revenue grew 117% to $89 billion, far outpacing AMD's 97% growth to $8.5 billion in Q3. Nvidia trades at just under 13 times next year's earnings while AMD trades at 30 times, making Nvidia the preferred pick for many investors.
Google parent Alphabet announced a $15 billion investment in data centers in Malaysia, building on a $2 billion commitment from 2024. The expansion reflects continued AI infrastructure spending regardless of political outcomes in the region.
Taiwan Semiconductor controls 72.5% of global chip foundry revenue and manufactures chips for Nvidia, AMD, and Broadcom. The company has no real competitor in manufacturing scale, and its stock trades at 23 times forward earnings, below its historical average.
Concerns are growing that the AI investment boom could face a correction. Gita Gopinath warned that nearly $1 trillion in planned AI spending for 2026 may not generate enough profit, and a collapse at Nvidia or an AI lab could create wider market effects. Amazon, Google, and Meta have taken on large debt loads for AI infrastructure. A sharp correction could raise US recession risk.
A1 Technologies launched Guardrails, an AI governance service for mid-market firms in Australia and New Zealand. The service helps organizations manage risks from AI tools like ChatGPT, Claude, and Gemini, as well as agents built on Microsoft Foundry and Copilot Studio. It uses Microsoft Defender, Purview, and Agent 365 to control applications and data, responding to increased scrutiny from Australian regulators.
Larry Page reportedly claimed 99.999% of computing will eventually happen in orbit. SpaceX has filed plans to deploy up to a million satellites for orbital data centers, and Google is also pursuing space-based compute projects as opposition to Earth-based data centers grows.
The Reserve Bank of Australia warns AI is already shifting jobs, with younger workers most exposed. Job ads containing AI-related terms have grown rapidly since ChatGPT launched. Meanwhile, Mastercard could benefit as banks limit AI agent access to customer accounts, pushing transactions onto supervised card networks.
Key Takeaways
- Nvidia, Broadcom, and Micron all dropped in October but analysts see strong 2027 growth ahead, with all three trading cheaper than the S&P 500.
- Nvidia's Q2 data center revenue grew 117% to $89 billion, dwarfing AMD's 97% growth to $8.5 billion, and Nvidia trades at 13x earnings versus AMD's 30x.
- Alphabet announced a $15 billion investment in Malaysia data centers, adding to its prior $2 billion commitment in 2024.
- Taiwan Semiconductor holds 72.5% of global chip foundry revenue and manufactures for Nvidia, AMD, and Broadcom with no real competitor in scale.
- Gita Gopinath warned that $1 trillion in planned 2026 AI spending may need a market correction and a collapse at Nvidia could trigger wider effects.
- A1 Technologies launched Guardrails, an AI governance service for mid-market firms in Australia and New Zealand using Microsoft Defender and Purview.
- Larry Page reportedly said 99.999% of computing will move to orbit, with SpaceX filing to deploy up to a million satellites for data centers.
- Micron is predicted to be a top AI stock in 2027, with supply staying tight through 2028 and potential for 4x to 5x gains.
- The Reserve Bank of Australia warns AI is shifting jobs, with younger workers most exposed to market changes.
- Mastercard may benefit as banks restrict AI agent access to customer accounts, keeping transactions on supervised payment networks.
3 AI Chip Stocks to Buy After October Sell-Off
Nvidia, Broadcom, and Micron all dropped in October but look strong for 2027. Nvidia says AI hyperscalers plan to spend $1.3 trillion next year. Broadcom expects its AI chip revenue to double in 2027. Micron benefits from tight memory chip supply and high prices. All three stocks trade cheaper than the S&P 500.
Micron Could Be the Top AI Stock in 2027
Micron is predicted to be the best AI stock in 2027. The memory chip maker was up over 200% in 2026. Its management says supply will stay tight in 2027 and 2028, which could push prices even higher. A new factory opening in mid-2027 will boost output. The stock could rise 4x to 5x if it returns to normal earnings levels.
3 AI Chip Stocks to Buy After October Drop
Micron, Nvidia, and Broadcom all fell in October but have strong 2027 growth ahead. Nvidia told investors to expect 70% growth next year. Broadcom plans to double its AI semiconductor revenue. Micron makes memory chips that are in high demand. All three trade at lower forward earnings than the S&P 500's 19 times.
Alphabet Invests $15 Billion in Malaysia Data Centers
Alphabet announced a $15 billion investment in data centers in Malaysia. The move shows AI expansion continues regardless of political results. Alphabet previously invested $2 billion in Malaysia in 2024. The company also spent $9.5 billion in the U.S. in 2022. Data center growth is driven by strong AI demand worldwide.
Taiwan Semiconductor Is a Strong AI Infrastructure Bet
Taiwan Semiconductor holds 72.5% of global chip foundry revenue. Major companies like Nvidia, AMD, and Broadcom use its services. It has no real competitor in chip manufacturing scale. The company projects strong AI chip revenue growth from 2024 to 2029. Its stock trades at 23 times forward earnings, which is below its usual level.
Taiwan Semiconductor stands out as top AI investment
Taiwan Semiconductor (TSMC) manufactures chips for major AI companies like Nvidia, AMD, and Broadcom. It controls 72.5% of global chip foundry revenue. TSMC has best-in-class technology and production yields that keep clients from switching. The stock trades at 23 times forward earnings, which is a reasonable price.
Nvidia beats AMD for a $1,000 AI chip investment
AMD reported strong Q3 results with data center revenue growth of 97% to $8.5 billion. However, that was a slowdown from Q2's 107% growth. Nvidia's Q2 data center revenue grew 117% to $89 billion, far outpacing AMD. Nvidia trades at just under 13 times next year's earnings while AMD trades at 30 times, making Nvidia the better value.
Nvidia is the better AI stock pick over AMD
AMD and Nvidia both compete in AI processor design while Broadcom focuses on specialized units. AMD's stock has doubled this year while Nvidia's has stayed flat. AMD trades at 30 times next year's earnings, but Nvidia trades at just 13 times. The author recommends Nvidia as the best semiconductor stock for a $1,000 investment right now.
AI predicts Packers win over Patriots in Week 9
SportsLine AI projects the Packers to beat the Patriots 23-20 in Week 9. The AI uses machine learning to evaluate team data and assign matchup scores out of 100. SportsLine AI also favors the Packers (+3) against the spread and predicts the game goes Under 44.5 points. Jordan Love leads Green Bay with 2,246 passing yards and 16 touchdowns.
AI releases NFL picks and predictions for Week 9
SportsLine AI generated picks and score predictions for all Week 9 NFL games using machine learning. Key matchups include Packers vs. Patriots and Cowboys vs. Colts. The AI projects a 23-20 Packers victory over the Patriots and recommends going Under 44.5 points. Several other A+ picks are available for bettors looking for value.
A1 launches Guardrails AI governance service for mid-market firms
A1 Technologies launched Guardrails, a service to help mid-market organisations in Australia and New Zealand manage AI risks. It addresses AI tools employees use, such as ChatGPT, Claude and Gemini, and AI agents built on platforms like Copilot Studio and Microsoft Foundry. The service follows a quarterly cycle of discovery, governance, management and reporting. It uses Microsoft Defender, Purview and Agent 365 to control applications, data and agent activity. Engagements start with a fixed-price survey that produces a Compliance Score.
A1 expands AI governance service to Australian and New Zealand firms
A1 Technologies released Guardrails to help organisations govern AI use inside Microsoft environments and third-party tools. The service responds to growing scrutiny from the Australian Prudential Regulation Authority and new Privacy Act transparency rules. A1 says AI governance is increasingly the responsibility of executives, risk, compliance and business leaders. Rob Rattray said AI security needs to be treated as an ongoing business responsibility. The service builds on A1's work in Microsoft 365 hardening and Purview compliance.
Fears grow that the AI investment bubble could burst
Concerns are rising that the global AI investment boom could end badly, with worries from Wall Street to Dublin. Tech giants such as Amazon, Google and Meta have spent billions on AI infrastructure, taking on large amounts of debt. Anthropic, the maker of Claude, filed plans for a stock market listing that could test investor patience. In Ireland, new AI data centres are appearing near Dublin and in Co Clare. Analysts warn that not all AI investments will pay off and a market reset could affect all tech firms.
Gita Gopinath warns $1 trillion AI spending may need a market correction
Gita Gopinath warned that the AI investment boom could face a correction because companies may struggle to earn enough profit from nearly $1 trillion in spending planned for 2026. She said global growth looks stable but major changes are happening beneath the surface. Economies linked to the AI supply chain, such as Taiwan and South Korea, are growing faster than usual. Gopinath said a collapse at NVIDIA or an AI lab could create wider market effects. She also warned that a sharp AI correction could raise US recession risk.
Full Bandwidth Transformer lab lost after Microsoft group absorbed
Full Bandwidth Transformer, a research project from AI Frontiers, lost its lab after Microsoft folded the group into another unit. AI Frontiers was founded in 2023 by John Langford and others to speed up AI baseline work. The team built tools such as Autogen and Fara and worked on models including the Full Bandwidth Transformer, which uses recursion to add power. Langford said the group was absorbed in early September. He said other founding leaders also left and internships will not run next year.
Larry Page Claims Nearly All Compute Will Move to Orbit
Larry Page reportedly said 99.999% of computing will happen in space. Elon Musk supported this idea on social media. SpaceX has filed to deploy up to a million satellites for orbital data centers. Google and other companies are also pursuing space-based compute projects. Local opposition to Earth-based data centers is growing, making space-based options more appealing to industry leaders.
Janus Henderson Manager Bets on Copper and Uranium Amid AI Boom
Darko Kuzmanovic is a portfolio manager at Janus Henderson who is investing in copper and uranium. He noticed an industrial belt forming in Arizona with semiconductor plants and data centers. This growth is driving increased demand for copper and uranium. He believes this boom could be even bigger than the AI industry itself.
Reserve Bank of Australia Warns AI Will Shift Jobs
The Reserve Bank of Australia says AI is starting to affect the job market. Younger workers appear to be the most exposed to these changes. Job ads with AI-related terms have grown rapidly in the four years since ChatGPT launched. The bank expects significant job market shifts but believes the long-term effect on inflation will be neutral.
Mastercard Stock May Rise Due to AI Banking Crackdown
Banks are limiting access for AI agents to customer accounts, which could benefit payment networks like Mastercard. Mastercard earns about US$36.3 billion in Payment Solutions revenue and has a market value of roughly US$568.6 billion. Other companies like Paysafe and WEX also operate in regulated payment spaces. These firms may gain an advantage when AI transactions stay on supervised card networks.
Sources
- 3 AI Chip Stocks to Buy in November After the October Sell-Off
- Prediction: This Will Be the Best-Performing AI Stock of 2027
- 3 AI Chip Stocks to Buy in November After the October Sell-Off
- Alphabet's $15 Billion Investment in Malaysia Data Centers Shows That Midterm Results Won't Stop the AI Boom
- This Stock Is a Nearly Guaranteed Winner From the AI Infrastructure Buildout
- This Stock Is a Nearly Guaranteed Winner From the AI Infrastructure Buildout
- AMD or Nvidia: Which AI Chip Stock Would I Buy With $1,000 Today?
- AMD or Nvidia: Which AI Chip Stock Would I Buy With $1,000 Today?
- Self-learning AI releases NFL picks, score predictions for every Week 9 game
- Self-learning AI releases NFL picks, score predictions for every Week 9 game
- A1 launches AI governance service for mid-market firms
- A1 launches AI governance service for mid-market firms
- From Dallas to Dublin, fears grow that the AI investment balloon will burst
- āHard to recover the investmentā: Gita Gopinath warns $1 trillion AI bet could correct, flags US recession risk
- Full Bandwidth Transformer lost its lab
- Larry Page Has Supposedly Said That 99.999% Of Compute Will Be Orbital, Elon Musk Agrees
- Janus Hendersonās Darko Kuzmanovic is navigating commodities and artificial intelligence trade by betting on copper and uranium
- Why the Reserve Bank expects significant job market shifts and a neutral long-term effect on inflation from AI adoption in Australia
- Why Mastercard Stock Could Benefit From the AI Banking Crackdown
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