Top AI stocks to watch in Singapore

What are AI stocks?

Artificial Intelligence (AI) stocks represent shares of companies at the forefront of developing, implementing, or leveraging advanced machine learning and computational technologies. These stocks have become increasingly attractive to traders and investors seeking exposure to the transformative potential of AI across multiple sectors.

What types of AI stocks are available in Singapore?

Singapore-based AI-centric companies offering public shares include AEM Pte Ltd, Venture Corp, Sea Limited, Grab Holdings, and Razer Inc.

Meanwhile, key global AI stocks include tech giants like Nvidia, which designs critical graphics processing units (GPUs) essential for AI computational power, and Alphabet (Google), whose deep machine learning research drives innovative applications. Companies like Microsoft and Amazon have also positioned themselves as significant AI infrastructure and cloud computing providers.

How does Singapore’s AI market compare globally?

Singapore punches well above its weight in the global AI landscape, ranking among the top five most advanced AI ecosystems worldwide. Despite its small geographic size, the city-state has strategically positioned itself as a technological powerhouse through:

• Substantial government investments (over S$500 million in AI research)
• World-class research institutions
• Supportive regulatory frameworks
• Strong tech talent development programmes

Compared globally, Singapore excels in: Fintech AI applications, smart city technologies, enterprise-level machine learning solutions, and cybersecurity intelligence

While not matching the scale of US or Chinese AI markets, Singapore represents a sophisticated, highly specialised AI ecosystem that serves as a critical innovation hub for Southeast Asia, attracting significant multinational technology investments and talent.

How do AI companies generate revenue?

AI companies generate revenue through diverse and innovative monetisation models:

1. Primary revenue streams:

• Software-as-a-Service (SaaS) subscriptions
• Custom AI solution development
• Cloud-based AI infrastructure licensing
• Data analytics services
• AI technology consultation

2. Specialised revenue channels:

• Enterprise AI implementation
• Machine learning model training
• Predictive analytics platforms
• Algorithmic trading systems
• Intelligent automation solutions

3. Advanced approaches:

• Per-usage computational pricing
• Performance-based contract structures
• Tiered service model offerings
• Intellectual property licensing
• Strategic technology partnerships

The most successful AI companies create scalable solutions that solve complex business challenges while maintaining flexible, adaptable revenue generation strategies.

Investing in AI stocks requires careful research. Investors should evaluate a company's technological sophistication, research and development investments, market positioning, and potential for scalable AI applications. While promising, the AI stock market remains dynamic and can be volatile, demanding strategic and informed investment approaches.

AI stocks advantages and disadvantages

Why might traders and investors consider AI stocks?

1. High growth potential

AI stocks represent a high-growth sector with unprecedented scalability. Companies at the forefront of AI are experiencing exponential revenue growth, often outperforming traditional market segments. The global AI market is projected to reach approximately US$244 billion by 2025, with some estimates ranging as high as US$638 billion, representing significant growth from previous years².

2. Exposure to innovative technologies

By investing in AI stocks, investors gain direct exposure to groundbreaking technological developments. These companies are not just creating products but are fundamentally reshaping industries like healthcare, finance, transportation, and manufacturing through intelligent automation and predictive technologies.

3. Diverse sub-sectors

The AI stock market is a diverse sector. Investors can diversify across various sub-sectors, including:

• Hardware manufacturers (semiconductor companies)
• Software developers
• Cloud computing providers
• Robotics and automation firms
• Machine learning research companies

4. More resistant to risk

AI-driven companies often demonstrate greater adaptability and resilience. Their ability to quickly analyse market trends, optimise operations, and predict challenges makes them more robust and risk-resistant during economic fluctuations.

5. Long-term value

Unlike speculative investments, AI stocks represent companies actively solving complex global challenges. Their potential to create long-term value extends beyond immediate financial returns, offering investors a stake in solving critical technological and societal problems.

What risks should I be aware of?

1. Technological volatility

The AI sector is characterised by rapid technological shifts, creating significant market unpredictability. Breakthrough innovations can quickly render existing technologies obsolete, potentially causing dramatic stock value fluctuations. A cutting-edge AI technology today might become outdated within months, creating substantial investment uncertainty.

2. Regulatory uncertainty

Emerging AI technologies face complex regulatory landscapes. Governments worldwide are developing frameworks to address ethical concerns, data privacy, and potential technological risks. Sudden regulatory changes can dramatically impact AI company valuations, creating unexpected market disruptions.

3. Overvaluation concerns

Many AI companies are valued based on future potential rather than current financial performance. This speculative pricing model increases the risk of market bubbles, where stock prices may not reflect genuine technological or financial capabilities.

4. Technical complexity challenges

AI technologies require sophisticated understanding. Investors without deep technological expertise might struggle to accurately assess a company's true innovative potential, leading to uninformed investment decisions.

5. Market competition risks

The AI sector is intensely competitive, with numerous companies competing for technological supremacy. Smaller firms can be quickly overwhelmed by tech giants like Google, Microsoft, and Amazon, potentially rendering promising startups irrelevant.

How do AI stocks fit into a diversified portfolio?

AI stocks offer strategic portfolio diversification by providing exposure to high-growth technological sectors. Analysts recommend an allocation of 5% to 10% of one’s total investment portfolio, alongside exposure to traditional sectors like healthcare, finance, and energy as a way of mitigating risk while still capturing innovation-driven returns.

Top AI stocks for traders to watch
 

1. Advanced Micro Devices (NASDAQ: AMD)
 

Sector: AI chips, semiconductors
Market cap (28 April 2026): US$567.1 billion

The company: AMD designs high‑performance and AI computing solutions powering cloud and AI infrastructure, embedded systems, AI PCs and gaming devices. 

Key trading data (28 April 2026):

• 52‑week range: US$91.87 to US$352.99
• 50-day moving average share price: S$221.60
• 200-day moving average share price: S$206.60
• Average daily trading volume (three-month): ~6.3 million shares
• Short percentage of float: ~2.2% (15 April 2026)

Earnings guidance (Q1 2026):

• Revenue outlook: ~US$9.8 billion, plus or minus US$300 million.
• The mid-point of the revenue range represents year-over-year growth of approximately 32% and a sequential decline of approximately 5%. 
• Non‑GAAP (adjusted) gross margin: ~55%

2. Sea Limited (NYSE: SE)

Sector: E‑commerce, gaming, digital finance
Market cap (28 April 2026): US$52.3 billion

The company: Sea operates Shopee (e‑commerce), Garena (digital entertainment) and Monee (digital financial services) across Southeast Asia and Latin America, combining marketplace, gaming and payments to monetise regional internet adoption.

Key trading data (28 April 2026):

• 52‑week range: US$77.05 to US$199.30  
• 50‑day moving average share price: US$91.10
• 200‑day moving average share price: US$137.71  
• Average daily trading volume (three‑month): ~5.6 million shares
• Short percentage of float: ~5.8% (15 April 2026)

Earnings guidance (FY2026): The company aims to grow Shopee’s annual Gross MV by around 25% YoY, with its full year adjusted EBITDA no lower than that of FY2025 in absolute dollar terms.

3. Palantir Technologies (NASDAQ: PLTR)

Industry: Enterprise software/ AI and data integration
Market cap: US$342.2 billion

The company: Palantir Technologies builds Gotham (government intelligence), Foundry (commercial data‑ops) and Apollo (deployment/operations) to help organisations ingest, model and operationalise large datasets.

Key trading data (20 January 2026):

• 52‑week range: US$105.32 to US$207.52
• 50‑day moving average share price: US$144.35
• 200‑day moving average share price: US$164.43
• Average daily trading volume (three‑month): ~53.0 million
• Short percentage of float: ~2.4% (15 April 2026)

Earnings guidance (Q1 2026):

• Revenue of between US$1.53 billion and $1.54 billion, which would be at least 8.5% higher than Q4 2025’s reported revenue.
• Adjusted income from operations of between US$870 million and $874 million, which would be at least 9.0% higher than Q4 2025’s reported figures.

4. C3.ai (NYSE: AI)
 

Sector: Enterprise AI software (SaaS)
Market cap (28 April 2026): US$1.3 billion

The company: C3.ai provides an enterprise AI application platform and prebuilt AI applications that help large organisations deploy, operate and scale predictive and generative AI solutions across industrial, energy, financial‑services and government use cases. 

Key trading data (28 April 2026):

• 52‑week range: US$7.68 to US$30.24
• 50‑day moving average share price: US$9.04
• 200‑day moving average share price: US$15.03
• Average daily trading volume (three‑month): ~6.7 million shares
• Short percentage of float: 33.1%

Earnings guidance (Q4 2026): 

• Total revenue: US$48.0 million to US$52.0 million, which would be lower than Q3 2026’s reported revenue of US$53.3 million.
• Adjusted loss from operations of at least US$56 million.

5. Baidu, Inc. (NASDAQ: BIDU)
 

Sector: AI models, cloud, search
Market cap (28 April 2026): US$45.2 billion

The company: Baidu, one of China’s leading AI and internet firms, drives growth through search, cloud, large‑model innovation and Apollo Go autonomous mobility services. 

Key trading data (28 April 2026):

• 52‑week range: US$81.17 to US$165.30
• 50‑day moving average share price: US$121.41
• 200‑day moving average share price: US$120.14
• Average daily trading volume (three‑month): ~2.2 million shares
• Short percentage of float: ~2.4% (15 April 2026)

Financial results (Q4 2025): 

• Total revenue: 32.7 billion yuan (US$4.68 billion), down by 4.1% YoY. 
• Unadjusted net income attributable to Baidu: RMB1.8 billion (US$255 million), down by 65.7% YoY.

Top 5 AI stocks for investors to watch
 

1. Alphabet Inc. (NASDAQ: GOOG)
 

Sector: AI, cloud, advertising
Market cap (28 April 2026): US$4.20 trillion

The company: Alphabet combines Google Services (Search, YouTube, Android, Maps, Play, devices), Google Cloud (AI infrastructure, Workspace, enterprise solutions), and Other Bets (Waymo, autonomous transport, experimental ventures). Its AI models, notably Gemini 3, now process over 10 billion tokens per minute, and the Gemini App has reached 750 million monthly active users.

Q4 2025 financial highlights:

• Total revenue: US$113.8 billion (+18% YoY).
• Net income: US$34.5 billion (+30% YoY).
• Free cash flow (Q4): US$24.6 billion.
• Quarterly cash dividend: US$0.21 per share declared, marking Alphabet’s first‑ever dividend payout, alongside ongoing buybacks.

Key stock information (28 April 2026):

• P/E ratio: 31.7 times
• P/B ratio: 10.0 times
• 50‑day moving average share price: US$308.60
• 200‑day moving average share price: US$276.80
• Average daily trading volume (three‑month): ~20.9 million shares

2. Taiwan Semiconductor Manufacturing Co. (NYSE: TSM)

Sector: Semiconductor foundry
Market cap (28 April 2026): US$2.02 trillion

The company: TSMC is the world’s largest dedicated semiconductor foundry, producing advanced chips for Nvidia, AMD, Apple, and other AI leaders. Its unmatched scale in 3nm, 5nm and 7nm nodes makes it the backbone of global AI hardware supply chains.

Q1 2026 financial highlights:

• Revenue: NT$1.13 trillion (US$35.9 billion), up by 40.6% YoY.
• Net income: NT$572.5 billion (US$18.2 billion), up by 58.3% YoY.
• Dividend: Declared NT$3.00 (US$0.10) per share payable in July 2026.
• Earnings guidance (Q2 2026): Revenue of between US$39.0 billion to US$40.2 billion.

Key stock information (28 April 2026):

• P/E ratio: 32.2 times
• P/B ratio: 10.2 times
• 50‑day moving average share price: US$309.35
• 200‑day moving average share price: US$277.65
• Average daily trading volume (three‑month): ~20.9 million shares

3. Microsoft Corp. (NASDAQ: MSFT)

Sector: Cloud, AI, enterprise software
Market cap (29 April 2026): US$3.15 trillion

The company: Microsoft combines Azure cloud infrastructure, Microsoft 365 + Copilot integrations, Dynamics/LinkedIn, and enterprise services to monetise AI across productivity, enterprise, and vertical solutions. Its ‘planet‑scale cloud and AI factory’ strategy positions it as a leading enabler of generative AI adoption globally. 

Financial performance (Q3 FY2026):

• Revenue: US$82.9 billion, up by 18% YoY.
• Operating income: US$38.4 billion, up by 20% YoY.
• Net income (unadjusted): US$31.8 billion, up by 23% YoY.
• Diluted EPS (unadjusted): US$4.27, up by 23% YoY.
• Quarterly cash dividend: US$0.75 per share (March 2026).

Key stock information (28 April 2026):

• P/E ratio: 26.6 times
• P/B ratio: 8.1 times
• 50‑day moving average share price: US$394.52
• 200‑day moving average share price: US$469.71
• Average daily trading volume (three‑month): ~37.9 million shares

4. Nvidia Corporation (NASDAQ: NVDA)
 

Sector: AI hardware, semiconductors
Share price (29 April 2026): US$5.26 trillion

The company: Nvidia is the global leader in AI computing and accelerated graphics, powering hyperscale data centers, AI PCs, gaming, professional visualization, automotive, and robotics. Its Blackwell and Rubin architectures underpin generative AI workloads, while CUDA software and ecosystem partnerships reinforce its competitive moat. 

Q4 FY2026 financial highlights:

• Revenue: US$68.1 billion, up by 73% YoY.
• Net income: US$43.0 billion, up by 94% YoY.
• Quarterly cash dividend: US$0.01 per share.
• Revenue outlook (Q1 2027): US$78.0 billion, plus or minus 2%.

Key stock information (28 April 2026):

• P/E ratio: 44.2 times
• P/B ratio: 33.5 times
• 50‑day moving average share price: US$185.62
• 200‑day moving average share price: US$183.11
• Average daily trading volume (three‑month): ~175.8 million shares

5. ASML Holding (NASDAQ: ASML)

Sector: Lithography equipment, semiconductor capital goods
Market cap (29 April 2026): US$547.07 billion

The company: ASML is the world’s leading supplier of extreme ultraviolet (EUV) and deep ultraviolet (DUV) lithography systems, essential for producing advanced semiconductor nodes (3nm, 2nm and below). 

Q1 2026 financial highlights:

• Total net sales: 8.8 billion euros, up by 14.3% YoY. 
• Net income: 2.8 billion euros, up by 18.6% YoY.
• Cash & equivalents (end‑quarter): 8.4 billion euros, down by 7.7% YoY.
• Earnings guidance (Q2 2026): Revenue of 8.4 billion euros to 9.0 billion euros.
• Dividend proposal for FY2025: 7.50 euros per ordinary share, up by 17% YoY.

Key stock information (29 April 2026):

• P/E ratio: 47.3 times
• P/B ratio: 22.6 times
• 50‑day moving average share price: US$1,403.70
• 200‑day moving average share price: US$1,103.95
• Average daily trading volume (three‑month): ~1.7 million shares

How to approach AI stock investing

Successful AI stock investing requires continuous learning, understanding technological trends, and maintaining a balanced, research-driven approach. Investors are advised to focus on established tech companies with strong research and development pipelines, proven technological capabilities, long-term potential, and clear strategic vision.

What should I research before investing?
 

1. Financial fundamentals

Before investing in AI stocks, investors must conduct a deep dive into the company's financial health. This involves meticulously examining revenue growth trajectories, profit margins, research and development spending, debt-to-equity ratios, and cash flow sustainability. These metrics provide crucial insights into a company's financial stability and potential for future technological investments.

2. Technological assessment

Understanding a company's technological capabilities is paramount. Investors should evaluate the strength of the patent portfolio, proprietary AI technology innovations, scalability of technological solutions, and competitive positioning. This requires a nuanced analysis of how effectively a company can develop, implement, and adapt advanced AI technologies across different market segments.

3. Management expertise

The leadership team's background and vision are critical indicators of potential success. Research should focus on the management's technological expertise, track record of successful innovations, strategic vision alignment, and professional credentials. A team with deep technological understanding and proven innovation history could significantly increase the likelihood of sustainable AI development.

4. Market ecosystem analysis

A comprehensive understanding of the broader market ecosystem is essential. This includes analysing the competitive landscape, potential for market disruption, regulatory environments, global technological trends, and sector-specific growth projections. Investors must look beyond individual company performance and understand the macro-technological dynamics shaping the AI industry.

How can I access AI stocks in Singapore?
 

Singapore investors can access AI stocks through local brokers or international trading platforms like IG.

Before deciding on which broker or trading platform to use, it is important that investors compare commission rates, international trading fees, minimum investment requirements, and available markets.

IG offers over 10,000 international stocks and ETFs for you to choose from. If you’re looking for inspiration for an AI stock to take a position on, consider using our stocks screener tool.

How to trade and invest in AI stocks with IG Singapore

CFD share trading
 

1. Create a live or demo account
2. Find an opportunity among one of our 10,000+ stocks with our  stock screener
3. Click ‘buy’ to go long or ‘sell’ to short
4. Set your position size
5. Take steps to manage your risk
6. Open and monitor your position

Investing
 

1. Open an account via IG Markets Singapore app
2. Search for AI stocks on the app
3. Choose the shares you want to buy
4. Determine how many shares you want to purchase
5. Place your order
6. Monitor your investment and collect any dividends

AI shares frequently asked questions