This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

Nvidia (NASDAQ: NVDA) continues to be a key enabler of the global artificial intelligence (AI) infrastructure buildout, with over 94% share of the discrete GPU market in the second quarter of 2025. Its Blackwell architecture chips, Compute Unified Device Architecture (CUDA) software stack, and AI-optimized networking solutions together form a formidable competitive moat.

The company's commitment to innovation -- releasing new hardware architectures annually while maintaining backward compatibility -- has increased customer loyalty. Unsurprisingly, demand for the company's GPUs from hyperscalers and enterprise AI giants has consistently outpaced available supply.

Nvidia's dominance, however, may face serious challenges in 2026. Increasing competitive and geopolitical pressures, along with a rising focus on cost-effectiveness, may affect the company's topline and bottom-line growth prospects in the coming year. Here's how I believe these problems could evolve in 2026.

Competitive pressures

The biggest challenge for Nvidia is the rapid emergence of alternatives to its GPUs, both from competitors offering chips with superior price performance and large clients developing proprietary silicon for specialized AI workloads.

While still far behind in the discrete GPU market share, competitor Advanced Micro Devices (NASDAQ: AMD) is gearing up for the launch of Instinct MI450 series GPUs in 2026. These GPUs are based on CDNA 5 architecture and are built using Taiwan Semiconductor Manufacturing's (also known as TSMC) advanced 2-nanometer process technology. The MI450 series is expected to emerge as direct competition not only to Nvidia's Hopper and Blackwell GPUs, but also to the upcoming Rubin architecture GPUs built on 3-nanometer process technology.

AMD's recent strategic partnership with OpenAI underlines the confidence in this new AI chip. According to this multi-year and multi-generation partnership, OpenAI will deploy 6 gigawatts of AMD Instinct GPUs. The first 1 gigawatt deployment based on MI450 GPUs will commence in the second half of 2026. With the deal positioning AMD as a core compute supplier for OpenAI's next-generation frontier models, AMD CEO Lisa Su expects to generate tens of billions of dollars in annual AI data-center revenue starting in 2027. AMD estimates this collaboration, along with other large customer deployments, could eventually generate over $100 billion in revenue in the next few years.

CEO Lisa Su also claimed that AMD's chiplet-based GPU architecture (a processor made of several small chips) offers substantial advantages in memory capacity and bandwidth, which can be crucial for inference workloads. As hyperscalers push for unified infrastructure that can handle both training and inference, AMD's upcoming MI450 GPUs are being designed to serve both workloads efficiently.

AMD's increasing technological prominence in the GPU market poses a significant challenge to Nvidia's supremacy.

Broadcom's custom application-specific integrated circuits (ASICs) and other accelerators are also being increasingly adopted at hyperscaler data centers. Major cloud players such as Meta Platforms, Microsoft, Amazon, and Alphabet have also developed custom silicon, which reduces their reliance on Nvidia. Alphabet's Tensor Processing Units (TPUs) and Amazon's Inferentia chips already deliver better performance at a lower cost in specific training and inferencing tasks. As more hyperscalers scale these in-house solutions and partner with other semiconductor players, it could adversely impact Nvidia's share of the AI compute spending.

Cost advantages

AMD's competitive pricing may soon become a key differentiator, especially since the target addressable market for AI accelerators is now projected to surpass $500 billion by 2028. AMD claims that its MI355 accelerator (from the MI350 series accelerators) has demonstrated matching or better performance than Nvidia's Blackwell architecture-based GB200 chips for specific key training and inference workloads. MI355 was also said to deliver performance matching to that of GB200 for specific other workloads at a lower cost and capacity.

According to Dell'Oro Group, global data center capex is estimated to reach $1.2 trillion by 2029. Hyperscalers are expected to account for nearly half of this spend. Faced with escalating infrastructure and energy costs, cloud giants are exploring lower-cost accelerators to reduce the total cost of ownership while ensuring high performance. In this backdrop, AMD's competitively priced Instinct accelerators could prove to be an appealing alternative for hyperscalers. This may even pressure Nvidia to take some pricing cuts to protect its market share.

Geopolitical and Supply Chain Pressures

Nvidia's excessive reliance on TSMC's foundries has exposed it to significant geopolitical and supply chain disruption risk, considering that Taiwan is just roughly 100 miles from mainland China. The escalating U.S.-China tensions have already negatively impacted the company's chip exports to China.

In July 2025, China's internet regulator, The Cyberspace Administration of China summoned Nvidia to explain the alleged security vulnerabilities in its H20 chips. Chinese authorities have also intensified customs inspections of Nvidia's AI chip imports, to reduce reliance on U.S. imports as of October 2025. According to Reuters, China's crackdown was initially focused on China-specific models like the H20 and RTX Pro 6000D. However, it has now been expanded to include all advanced semiconductor products that could fall under U.S. export restrictions. These events have negatively impacted the company's sales in the key Chinese market.

The heightened geopolitical tensions have also spurred countries around the world to focus on localizing the semiconductor supply chain. Several incentives are being offered to semiconductor manufacturers under the U.S. CHIPS Act and similar programs in Europe and Japan. TSMC, Samsung, and Intel are building new foundries in the U.S., Europe, and Asia.

While these foundries are not Nvidia's direct competitors, expansion of manufacturing capacity will help competitors such as AMD, Intel, and Broadcom, as well as hyperscalers designing custom AI silicon to scale production efficiently. This may erode Nvidia's supply advantage in the long run.

Premium valuation

Nvidia trades at a premium valuation of 28.5 times forward earnings. However, in the face of increasing adoption of open hardware ecosystems and alternative AI chips, the company may witness compression in valuation multiples. Coupled with potential margin compression and slower topline growth, these factors may weigh on the company's share prices in 2026.

While none of these risks are certain to materialize, investors should remain vigilant about market share shifts and cost-sensitive deployments across the AI landscape. These are tangible risks, and Nvidia has to navigate them carefully to sustain its growth trajectory beyond 2026. 

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

The post Opinion: Say goodbye to Nvidia's biggest competitive edge in 2026 appeared first on The Motley Fool Australia.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

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Manali Pradhan has no position in any of the stocks mentioned. The Motley Fool Australia’s parent company Motley Fool Holdings Inc. has positions in and has recommended Advanced Micro Devices, Alphabet, Amazon, Intel, Meta Platforms, Microsoft, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool Australia’s parent company Motley Fool Holdings Inc. has recommended Broadcom and has recommended the following options: long January 2026 $395 calls on Microsoft, short January 2026 $405 calls on Microsoft, and short November 2025 $21 puts on Intel. The Motley Fool Australia has recommended Advanced Micro Devices, Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has a disclosure policy. This article contains general investment advice only (under AFSL 400691). Authorised by Scott Phillips.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

Shares of Nvidia (NASDAQ: NVDA) have been impacted by several factors, including increasing macroeconomic uncertainty, geopolitical tensions, ongoing tariff wars, export controls, and rising competition from Chinese companies in the past few months.

However, the recent earnings performance -- including its recent impressive result in the fiscal first quarter of 2026 -- demonstrates why investors should not let the short-term noise distract them from the company's long-term growth prospects.

Nvidia's first quarter fiscal 2026 earnings performance (ending April 27) validates its position as the clear leader in the artificial intelligence (AI) -powered hardware, software, and infrastructure services market. Revenue soared 69% year-over-year to $44.1 billion, while data center revenue surged 73% year-over-year to $39.1 billion in the first quarter.

These tailwinds can propel Nvidia's market value to over $5 trillion in the next decade.

Leadership in AI hardware

Nvidia's dominance in the AI chip market, where it still controls a more than 80% share, should remain unchallenged at least for the next few years. The company's latest Grace Blackwell 200 (GB200) graphics processing units (GPUs) enable organizations to run computationally heavy reasoning AI models with 25 times higher performance and at a twentieth of the cost of Hopper H100 chips.

The Blackwell ramp-up has been the fastest product launch in Nvidia's history and accounted for nearly 70% of data center compute revenues in the recent quarter. Major hyperscalers are already deploying nearly 72,000 Blackwell GPUs weekly across their data centers and are planning to further ramp output in this quarter.

Furthermore, Nvidia is sampling GB300 systems at major cloud service providers and expects production shipments to commence by the end of the second quarter. While these systems have the same architecture, physical footprint, and mechanical and electrical specifications as GB200, they offer 50% more high-bandwidth memory capacity and a 50% increase in inference computing performance. Hence, cloud service providers can transition from GB200 to GB300 systems while benefiting from higher performance

Software ecosystem

Nvidia's software ecosystem has also become a strong moat, ensuring that customers will find it prohibitively costly to switch to competitors' chips. The company's comprehensive CUDA parallel programming platform is currently used by 5.9 million developers to accelerate GPUs for various general-purpose applications effectively. CUDA is currently used to accelerate all AI models and over 4,400 applications. Subsequently, CUDA helps prevent significant infrastructure investments from becoming obsolete in an exceptionally fast-evolving market.

Additionally, the company launched its TensorRT software package for inference (real-time deployment of trained AI models) optimization and the TensorRT-LLM software library to ensure the fast and efficient running of large language models.

Strategic partnerships

Nvidia partnered with Humain, a newly launched AI company owned by Saudi Arabia's Public Investment Fund, to build AI factories with 18,000 of its latest GB300 Blackwell chips in the first deployment phase. Nvidia is also playing a key role in the Stargate Project, through which OpenAI, SoftBank, and Oracle have said they plan to invest $500 billion into U.S.-based AI infrastructure over the next four years.

These strategic alliances could be significant growth catalysts for Nvidia in the long run.

How can Nvidia reach a $5 trillion valuation by 2035?

In its fiscal 2025, which ended Jan. 26, the chipmaker's revenues grew by 114% to $130.5 billion. While analysts are projecting lower revenue growth rates for future years, the consensus expectation is still for the company to grow quickly. Nvidia's revenues are forecast to increase by 52.8% and 23.9% in its fiscal 2026 and fiscal 2027, respectively. And the company's already off to a good start by recording 69% revenue growth in Q1 of fiscal 2026.

In that context, it is reasonable to expect Nvidia to grow at a compound annual rate of nearly 20% over the next decade. If it does, it would wind up with about $808 billion in revenues in its fiscal 2035.

Nvidia reported an exceptionally high net income margin of 55.8% in its fiscal 2025. The company has been able to steadily expand its margins in the past couple of years, largely due to its dominance in the AI market. Even if we assume that it will have to accept some margin contraction due to increasing competition and scale, it is reasonable to expect it to produce a net income margin of nearly 27.9% -- its 10-year median margin -- in fiscal 2035. With a top line of $808 billion, that would give it a net income of around $225 billion that year.

Nvidia is trading at around 32.6 times forward earnings. Analysts have projected 5-year forward P/E multiple of 23.5x for Nvidia. Assuming this valuation multiple for the next 10 years , the company can reach a market value of $5.29 trillion by 2035.

Hence, the company is well positioned to cross the $5 trillion market capitalization, even under conservative expectations. There are reasons to suspect its market value could grow even higher, too -- consider Nvidia's upcoming AI initiatives, such as Sovereign AI, agentic AI, and physical AI.

Other growth catalysts

Nvidia is also benefiting from the increasing demand for high-performance chips in gaming and AI PCs. Gaming revenue rose 42% year-over-year to $3.8 billion in the first quarter, driven by strong adoption of Blackwell architecture systems from gamers, creators, and AI enthusiasts.

Enterprise AI is also becoming a significant growth catalyst, with Nvidia bringing AI-powered storage, computing, and networking capabilities directly to corporate environments. The company's RTX Pro, DGX Spark and DGX Station enterprise AI systems are targeting the $500 billion market opportunity. Nvidia's Omniverse and robotics platforms are also powering factory automation and humanoid robotic systems.

With all that in mind, long-term investors should consider picking up at least a small stake in Nvidia to profit from the AI wave over the next decade.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

The post Prediction: This Artificial Intelligence (AI) Company Will Be Worth Over $5 Trillion in 10 Years appeared first on The Motley Fool Australia.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

More reading

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Manali Pradhan has no position in any of the stocks mentioned. The Motley Fool Australia’s parent company Motley Fool Holdings Inc. has positions in and has recommended Nvidia. The Motley Fool Australia has recommended Nvidia. The Motley Fool has a disclosure policy. This article contains general investment advice only (under AFSL 400691). Authorised by Scott Phillips.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

Nvidia's (NASDAQ: NVDA) stock popped up by a dramatic 500% in the past three years. Undoubtedly, much of this recent rally has been fueled by the company's position as a key beneficiary and enabler of the ongoing artificial intelligence (AI) wave.

Nvidia offers a full-stack AI platform, comprising cutting-edge AI-optimized hardware chips, a complete software ecosystem, high-speed networking solutions, and servers to enable clients to build "AI factories," or the essential infrastructure for AI-based outputs (text, images, audio, video). The company's accelerated product release cadence, from two years to one year, also helps it maintain technological superiority against competition.

Furthermore, besides the booming demand from large hyperscale companies, enterprises, and AI start-ups, Nvidia's AI-optimized hardware and software solutions are now increasingly used in new areas such as Sovereign AI (governments building domestic AI capabilities), automotive vertical, and robotics business.

The AI frenzy propelled Nvidia's stock to an all-time high of over $1,200 in early June. Its recently executed 10-for-1 stock split made its stock far more accessible to retail investors.

With Nvidia's stock now around $124 at this writing, long-term investors may be keen to know if the stock can again jump to $1,000-plus levels. Let's analyze the company's fundamentals and valuations to find some answers.

Intensifying competition and supply challenges

Nvidia's technological superiority in developing AI-optimized hardware and software enabled the company to capture a whopping 90% share of the global AI chip market. However, the company's stronghold may get challenged in the long run. Although currently far behind Nvidia, competitors Advanced Micro Devices and Intel are working hard to capture a slice of the AI market.

AMD's MI300 family of data center chips witnessed strong demand, while the company is also gearing up for launching families of AI chips such as MI325 and MI350 accelerators, based on advanced architectures, in the coming months. AMD expects these chips to demonstrate faster performance, improved memory capacity, and stronger computing capabilities for AI workloads.

Intel is also aggressively focusing on the AI PC opportunity and hopes to launch Lunar Lake laptop CPUs by September 2024. Lunar Lake chips are expected to be superior in performance, efficiency, and graphics processing compared to their predecessor Meteor Lake chips. Plus, Intel has also introduced Gaudi 3 AI accelerators, offering superior cost-performance benefits for training and inferencing of AI models.

Nvidia also faces the risk of customers such as cloud players and technology giants becoming competitors, as they have been accelerating in-house development of AI-optimized chips and solutions. This risk cannot be ignored, since large cloud players account for roughly 45% of the company's data center revenues.

Multiple other challenges

While demand for Nvidia's AI chips and solutions has grown dramatically, the company continues to face supply constraints associated with procuring manufacturing, testing, and packaging capacity from Taiwan Semiconductor Manufacturing and other vendors. Subsequently, the company expects demand for its new H200 chips and next-generation Blackwell chips to outpace supply well until 2025. This headwind can affect the company's growth prospects in the coming years.

Nvidia also accelerated the pace of release cadence (for major products or features) from once every two years to once annually. Continuously innovating and adapting hardware and software is the need of the hour in the face of increasing complexity and rapid evolution of AI models and workloads.

However, this also exposes Nvidia to significant execution risks and to the risk of clients delaying purchases to get access to the most advanced technologies. Nvidia's rapid pace of innovation can result in early product obsolescence for its older offerings and increasing risk of self-cannibalization.

Valuation estimates

Nvidia has consistently posting impressive financial metrics for the past several quarters. In the first quarter of fiscal 2025 (ending April 28), revenues were up by nearly 262% year over year to $26 billion, while net income soared by 628% year over year to $14.9 billion.

Analysts expect Nvidia's fiscal 2025 sales to grow by 97% year over year to $120 billion. While the revenue growth rate is expected to moderate in the next decade, analysts expect the company's sales to more than triple to $380.9 billion by 2034.

Nvidia is currently trading at a price-to-sales (P/S) multiple of 38.6x. Assuming that this multiple reverts to its 10-year average of 22.27x (a conservative estimate), we can expect Nvidia's market capitalization to reach around $8.5 trillion by 2034. While the market cap seems huge, it is only 2.7 times the company's current $3.1 trillion market capitalization. This implies that the stock can reach north of $340 by 2034 (assuming no significant share repurchases or stock splits).

Assuming Nvidia's P/S multiple remains at the current 38.6x level (a very aggressive estimate), the company's market capitalization will be around $14.7 trillion -- 4.7 times its current market capitalization. Still, the company's share price can be expected to reach close to $600 by the end of 2034.

Hence, based on current estimates, the chances of Nvidia's share price crossing $1,000 in the next decade appear slim. These projections, however, can change in case Nvidia makes even more dramatic advances in AI technologies in the coming years.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

The post Can Nvidia stock cross $1,000 again after the stock split? appeared first on The Motley Fool Australia.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

More reading

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• 5 ASX ETFs that could supercharge your portfolio
• How to invest in the AI Build-Out: Expert
• 3 fantastic ASX ETFs to buy this month
• Is this the best Vanguard ETF money can buy right now?

Manali Pradhan has no position in any of the stocks mentioned. The Motley Fool Australia’s parent company Motley Fool Holdings Inc. has positions in and has recommended Advanced Micro Devices, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool Australia’s parent company Motley Fool Holdings Inc. has recommended Intel and has recommended the following options: long January 2025 $45 calls on Intel and short August 2024 $35 calls on Intel. The Motley Fool Australia has recommended Advanced Micro Devices and Nvidia. The Motley Fool has a disclosure policy. This article contains general investment advice only (under AFSL 400691). Authorised by Scott Phillips.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

Shares of semiconductor giant Nvidia (NASDAQ: NVDA) have gained nearly 217% over the last year. Undoubtedly, the rapid advancement and adoption of generative artificial intelligence (AI) applications and large language models have been the key demand drivers for its AI-capable chips and systems. The graphics processing unit (GPU) leader has emerged as both an enabler and a major beneficiary of the ongoing generative AI revolution.

Nvidia posted a strong performance in its fiscal 2025 first quarter, which ended April 28: Revenue and earnings soared year over year by 262% and 690%, respectively. For the fiscal year, which will end Jan. 31, analysts expect its revenue to grow by 97% to $120 billion and earnings per share (EPS) to rise by 109% to $2.71.

Beyond that exceptional short-term outlook, there are also at least three major reasons to expect Nvidia will grow significantly in the long run.

A dominant accelerated computing player

Nvidia's data center business revenue soared by a jaw-dropping 427% year over year to $22.6 billion in fiscal Q1. That segment accounted for 87% of its revenue, and will play a critical role in the company's future growth story.

Hyperscalers (large cloud infrastructure providers), enterprises across verticals, and sovereigns worldwide are upgrading trillions of dollars worth of installed data center infrastructure that was built around dumb NIC (network interface cards) and CPUs by installing accelerated computing hardware. This infrastructure has become critical in training and inferencing large language models and other generative AI applications. Nvidia also expects enterprises to upgrade existing accelerated computing infrastructure from that based on current Hopper architecture H100 chips to next-generation Hopper architecture H200 chips and next-generation Blackwell architecture chips.

The economics are highly appealing for clients, especially for cloud service providers. During the most recent earnings call, an Nvidia executive asserted that "for every $1 spent on NVIDIA AI infrastructure, cloud providers have an opportunity to earn $5 in GPU instant hosting revenue over four years."

Demand for Nvidia's AI GPUs is far outpacing supply, even though the company has been focusing on expanding production capacity for chips like H100 and Grace Hopper. It expects the supply of next-generation H200 and Blackwell chips will continue to fall short of demand until next year. This will ensure that Nvidia continues to enjoy pricing power, despite the increasing competition in this niche of the chip industry.

Besides its AI GPUs, Nvidia has also introduced the Grace Hopper Superchip (CPU + GPU), Blackwell architecture chips, AI-optimized Spectrum-X Ethernet networking, and Nvidia AI enterprise software. These products help drive performance gains and users' lower costs while training and running AI applications.

According to Nvidia CEO Jensen Huang, AI is enabling the $3 trillion information technology industry to build tools that can target nearly $100 trillion of industry. Against this backdrop of solid growth, commitment to innovation, and rapidly expanding market opportunities, the company's forward price-to-earnings (P/E) multiple of 33.93 looks justified, even if it is not cheap.

Full-stack AI platform

Nvidia has evolved from a chip supplier to a "full stack" AI platform provider. The company provides hardware such as GPUs, DPUs (data processing units), and CPUs a complete software stack (CUDA, AI enterprise software, inference microservices, Omniverse), high-speed networking components (InfiniBand, Ethernet), and servers to build "AI factories" that generate multimodal outputs (AI tokens) including text, images, audio, and video. AI factories refer to the essential infrastructure built by clients for AI production. In its fiscal first quarter, Nvidia worked with more than 100 customers to build AI factories that ranged in size from hundreds of GPUs to 100,000 GPUs.

Nvidia's GPUs and the supporting Compute Unified Device Architecture (CUDA) software stack -- an AI-optimized parallel programming platform for the company's hardware portfolio -- have been pivotal in multiple AI breakthroughs, including transformer models, unsupervised learning, and foundational models like GPT-4 and Meta Platforms' Llama. In its efforts to stay ahead of the competition, the company has accelerated the release cadence of its products and major features from once every two years to once every year. Nvidia has also built a large ecosystem of partners that includes technology titans, AI start-ups, and every major cloud service provider.

All these factors have enabled Nvidia to build a solid competitive moat in the burgeoning AI space.

Expanding addressable market

Nvidia is also leveraging its AI platform to expand its addressable market in areas such as "sovereign AI," the automotive industry, and physical AI.

Nvidia sees sovereign AI as a major growth opportunity since countries worldwide are building out their domestic AI capabilities. The company partners with governments and local players to provide end-to-end AI infrastructure. Management expects sovereign AI's contribution to Nvidia's revenue to grow from nothing in fiscal 2024 to a figure in the high-single-digit billions in fiscal 2025.

Nvidia's Drive platform, which integrates hardware and software solutions to provide computing power, AI technologies, and software frameworks for autonomous vehicles and advanced driver-assistance systems, is also seeing robust demand.

Nvidia also expects physical AI -- i.e., AI-enabled robots -- to be a major long-term growth driver. The company is creating end-to-end robotics platforms for factories and warehouses as well as humanoid robots.

Although Nvidia's share price is near its all-time high, the growth drivers discussed above should provide a strong enough case to convince investors to pick up shares of this blockbuster stock now. 

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

The post 3 reasons to buy Nvidia like there's no tomorrow (Hint: The stock split Isn't 1 of them) appeared first on The Motley Fool Australia.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.

More reading

• Are these the best ASX ETFs to buy with $1,000 in May?
• 5 ASX ETFs that could supercharge your portfolio
• How to invest in the AI Build-Out: Expert
• 3 fantastic ASX ETFs to buy this month
• Is this the best Vanguard ETF money can buy right now?

Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. Manali Pradhan has no position in any of the stocks mentioned. The Motley Fool Australia’s parent company Motley Fool Holdings Inc. has positions in and has recommended Meta Platforms and Nvidia. The Motley Fool Australia has recommended Meta Platforms and Nvidia. The Motley Fool has a disclosure policy. This article contains general investment advice only (under AFSL 400691). Authorised by Scott Phillips.