AI Funding Highlights – SwissCognitive AI Investment Radar

This week’s AI investment landscape has been defined by diverging strategies, capital flows, and a widening discussion around equity, access, and economic consequence. On one side, the U.S. and EU are outlining ambitious visions for leadership. While the Stargate initiative pushes scale and speed, the EU’s dual strategy of financial commitment and regulatory positioning is placing ethical trust at the heart of its long game.

At the institutional level, signals of maturity are surfacing. Stanford’s AI Index highlighted pressure points shaping enterprise tech strategy, while BCG’s IT Spending Pulse underlined a shift: budgets are recalibrating as generative AI moves from novelty to core capability. Large investors are responding in kind—Bay Area-based SignalFire closed a $1 billion fund focused solely on applied AI companies, and Microsoft’s AI alliance with MSCI emphasizes the financial sector’s shift to AI-informed strategies.

From a regional angle, the Gates Foundation is betting $7.5 million on Rwanda as a launch point for AI scaling hubs in health, agriculture, and education. Canada attracted a CAD$150 million investment from Siemens for a global AI R&D center focused on battery production, while Italy’s Axyon AI secured €4.3 million for financial forecasting, and Ukraine’s QurieGen raised €2.2 million for AI-driven cancer drug R&D.

Meanwhile, a different class of firms is recalibrating customer interaction models. Arta Finance unveiled a suite of AI agents for portfolio insight, and startups skipping traditional funding stages—especially in Europe—signal a shift toward faster, more efficient capital strategies. But UNCTAD’s report reminds us that AI’s projected $4.8 trillion global impact comes with significant risks: unless addressed, the gap between early adopters and the rest could deepen.

This week’s updates confirm that the race is no longer about who adopts AI—it’s about how, and at what cost.

Previous SwissCognitive AI Radar: From Mega Rounds to Market Ripples .

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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$100B for AI Chips, $40B for AI Bets – SwissCognitive AI Investment Radar

AI investment shows no signs of slowing, with capital flowing across semiconductors, cloud AI, financial AI, and responsible AI initiatives. This week, TSMC is preparing a staggering $100 billion investment in U.S. chip production, reinforcing the U.S. AI supply chain. Meanwhile, Anthropic’s valuation tripled to $61.5 billion, after securing $3.5 billion in funding to keep pace with OpenAI and DeepSeek.

The private sector’s AI appetite remains insatiable. Blackstone’s Jonathan Gray emphasized AI’s dominance in global investment trends, while Guggenheim and billionaire investors assembled a $40 billion AI investment pool to fuel finance, sports, and media innovation. Meanwhile, Canva’s AI report revealed that 94% of marketers have now integrated AI into their operations, marking a fundamental shift in business strategy.

The global AI race is also drawing government interest. The European Commission announced a €200 billion mobilization for AI investments, alongside France’s €109 billion push, as President Macron aims to position Europe as a heavyweight in AI development. Across the globe, China’s Honor pledged $10 billion to AI investment, deepening ties with Google for a global expansion.

The infrastructure for AI applications continues to scale rapidly. DoiT announced a $250 million fund dedicated to AI-driven cloud operations, while Shinhan Securities backed Lambda Labs with a $9.3 million investment to advance NVIDIA GPU-powered AI cloud services. Meanwhile, Accenture is doubling down on AI decision intelligence, backing Aaru to improve AI-powered behavioral simulations.

Beyond the corporate sphere, responsible AI investments are gaining traction. Chinese firms are increasing spending on ethical AI as part of a broader strategy to align AI governance with innovation. Meanwhile, Blackstone committed $300 million to AI-driven Insurtech, supporting AI-powered safety solutions in insurance.

With tech giants, startups, and governments all placing massive bets on AI, the sector’s financial landscape is evolving faster than ever. Investors are watching closely as AI’s long-term ROI takes center stage.

How will the capital influx shape AI’s next phase? The coming months will bring more answers.

Previous SwissCognitive AI Radar: AI Expansion and This Week’s Top Investments.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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SwissCognitive Guest Blogger: Zachary Amos – “How AI Transforms EV Charging Networks”

People who drive gas-powered vehicles can lug a fuel can around if they ever run out while driving. For electric vehicle (EV) owners, it isn’t as easy. Many fear being stranded on the side of the road, which is why charging infrastructure is so important. However, chargers are often unreliable or outright out of order. Is artificial intelligence the solution?

Why EV Charging Networks Need an Overhaul

The current state of EV charging networks is less than ideal. Harvard Business School research revealed that charging stations are largely unreliable — and drivers are aware and dissatisfied. They can only successfully recharge using nonresidential stations an estimated 78% of the time, meaning one in five chargers in the United States don’t work. This makes them less reliable than the average gas pump.

Omar Asensio — the Harvard Business School fellow who led the study — said the main reason for this substandard reliability is that no one’s maintaining the stations. While these complex machines require extensive maintenance to keep the circuitry in peak shape, they are often neglected.

When electrical systems break down, equipment damage is not the only outcome. Potentially dangerous situations will occur unless companies perform electrical system maintenance regularly. Loose connections and fried circuits can ignite materials or shock users, causing injuries or death.

While the seemingly obvious solution is for drivers to recharge at home, people use home chargers just 10% of the time, according to one software company. Although modern batteries can reach hundreds of miles on a single charge, many people fear theirs will run out of power before they reach their destination, leaving them stranded. Besides, installation can be expensive, depending on their location and the type of at-home station they choose.

Companies Could Change EV Charging With AI

AI could help companies resolve the sector’s current charging challenges. For starters, it could autonomously manage loads, distributing power efficiently and safely among multiple stations. Reducing grid load — especially during peak hours — helps prevent EV charging equipment from damaging transmission lines, circuit breakers or transformers.

A study from the University of Michigan’s Transportation Research Institute proves this point. It states that large-scale, unmanaged EV charging could cause sudden current draw fluctuations, damaging the electrical grid. This inconsistency can lead to inefficient energy consumption, resulting in transformer strain. An outage is the likely outcome of accelerated equipment wear and energy waste.

Much of the U.S. power grid is already on its last legs. For instance, around 70% of the transmission lines are nearly three decades old, nearing their expected life span of 50 to 80 years. Minimizing strain with AI-powered smart load management can prevent outages while ensuring every battery is fully recharged.

A more comprehensive solution leverages predictive maintenance. Machine learning models can anticipate possible outcomes. They can use embedded, internet-enabled sensors to identify faults like a fried circuit or frayed wire. Maintenance teams would get real-time alerts, minimizing unplanned downtime.

AI could even improve battery health monitoring, maximizing charging efficiency. A research team from the United Kingdom’s Cambridge and Newcastle Universities discovered a machine learning method is 10 times more accurate than the current industry standard technique. It measures electrical pulses instead of tracking current and voltage during charge and discharge cycles. Improving EV battery reliability could transform the charging network’s layout.

Where would companies place new stations? With AI, they could analyze metrics like EV demand, travel frequency and location to determine where to build them. They could also optimize charging network design by plugging their budget, desired density and grid capacity into the algorithm.

Improving EV Charging Infrastructure With AI

Access to a reliable charging network is tightly intertwined with people’s opinions of EVs themselves — meaning companies can only make this mode of transportation more popular if they improve the reliability of the underlying infrastructure. AI is one of the few technologies that could help them fast-track this achievement.

About the Author:

Zachary Amos is the Features Editor at ReHack, where he writes about artificial intelligence, cybersecurity and other technology-related topics.

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Where the AI Money is Going – SwissCognitive AI Investment Radar

AI investment continues to dominate headlines, with global tech giants and emerging startups securing data-end=”1008″>massive funding rounds. Alphabet is leading the charge with a $75 billion AI investment plan, signaling a major expansion of its AI infrastructure this year. Meanwhile, Meta’s open-source AI strategy has fueled investor optimism, adding $240 billion to its market value over the past 12 days in an unprecedented stock rally.

Beyond Big Tech, AI investment is expanding across industries and geographies. SoftBank-backed billionaire Bhavish Aggarwal is injecting $230 million into Indian AI startup Krutrim, marking another step in India’s AI push. Japan is also making moves, with SoftBank and OpenAI launching a joint AI venture, aimed at providing AI-driven services to corporate customers. In Europe, AI startups have collectively raised $8 billion in 2024, ahead of the Artificial Intelligence Action Summit in France, where government leaders and tech executives will outline their AI strategies.

Despite the capital influx, investor skepticism remains, particularly around exaggerated AI claims. Early Nvidia investor Jonathan Cohen warns of ‘AI washing’, as more companies attempt to overstate their AI capabilities. Meanwhile, banks are cautiously investing in AI, focusing more on incremental efficiency gains rather than large-scale transformation.
For those evaluating AI investments, measuring real ROI is critical. Studies suggest that mid-sized businesses investing in AI could break even in just 9.5 months, achieving 281% ROI within three years. Yet, as AI infrastructure grows, concerns remain over capital expenditures, with Alphabet likely to face investor scrutiny on its AI spending in its upcoming earnings report.

With the DeepSeek controversy still rippling through AI markets, and major firms like Atlassian betting on AI-powered tools, the sector’s long-term investment landscape is evolving rapidly.

The coming weeks will reveal how capital continues to shape the future of AI across industries.

Previous SwissCognitive AI Radar: EU and France Go Big on AI.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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EU and France Go Big on AI – SwissCognitive AI Investment Radar

The AI investment landscape is taking another major leap forward this week, as governments and private investors pour billions into AI infrastructure and innovation. The European Union announced a massive €200 billion AI investment initiative, including a dedicated fund for AI gigafactories, signaling Europe’s intent to strengthen its global AI position. Meanwhile, French President Emmanuel Macron revealed a €109 billion AI investment package, just ahead of the AI Summit in Paris, where industry leaders like OpenAI’s Sam Altman are expected to weigh in on the future of AI policy and development.

Beyond Europe, AI capital continues to flow across the world. Saudi Arabia secured $14.9 billion in AI investments at the LEAP 25 tech conference, further reinforcing its ambition to become a major AI hub. Additionally, the kingdom has committed $1.5 billion to AI chip firm Groq, boosting its semiconductor and AI infrastructure efforts. Meanwhile, in India, 76% of companies already report positive AI returns, driving a wave of long-term AI investments as businesses look to integrate AI across new applications.

Private sector players are equally active. The Iliad Group announced a $3 billion AI investment, strengthening its position as Europe’s leading AI cloud provider. At the same time, Brookfield is committing €20 billion to AI projects in France, reinforcing the country’s growing reputation as a European AI powerhouse. SoftBank, however, reported a $2.4 billion loss in its Vision Fund but remains focused on long-term AI investments despite short-term financial turbulence.

Amid this investment frenzy, AI-driven sustainability solutions are gaining traction, as companies face mounting regulatory pressures. Clarity AI’s latest platform helps fund managers streamline ESG compliance, while Standard Chartered and the London Stock Exchange Group (LSEG) are deploying AI-powered investment tools to enhance retail investor strategies.

With Europe easing AI regulations to encourage competitiveness and Baidu’s CEO defending aggressive AI investments, the conversation is shifting from investment size to long-term returns and strategic positioning.

Next week’s developments are sure to bring more insights into where capital is flowing and how investors are adapting. Stay tuned!

Previous SwissCognitive AI Radar: AI Market Adjustments and Billion-Dollar Bets.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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AI Market Adjustments and Billion-Dollar Bets – SwissCognitive AI Investment Radar

The AI investment landscape remains as active as ever, with Alphabet announcing a staggering $75 billion commitment to AI infrastructure. This substantial bet highlights Big Tech’s continued push into AI dominance, following Meta’s $240 billion market value surge as investors back its open-source AI approach. Meanwhile, SoftBank is doubling down on AI, unveiling a joint venture with OpenAI in Japan and backing a $230 million investment into Indian AI startup Krutrim as the country accelerates its AI ambitions.

While these headline moves dominate discussions, AI hype versus reality is becoming a growing concern for investors. Early Nvidia investor Jonathan Cohen warns about “AI washing,” with companies inflating their AI capabilities to attract capital. This skepticism extends to financial institutions, where banks are ramping up AI investments, yet most are focused on incremental gains rather than disruptive overhauls.

Across the Atlantic, European AI startups raised $8 billion in 2024, setting the stage for the upcoming Artificial Intelligence Action Summit in Paris, where global leaders will debate AI’s role in economic growth. In fintech, AI-powered tools are attracting fresh funding, with Jump securing $20 million to develop AI-driven financial advisory solutions, while Marlin Equity Partners takes a majority stake in Napier AI, reinforcing AI’s role in financial crime prevention.

For investors looking at the financial impact of AI, new data suggests that mid-sized businesses can break even on AI investments within 9.5 months, achieving a 281% ROI in just three years. Yet, with Alphabet set to report earnings soon, investors are keen to scrutinize its AI-related capital expenditures, questioning whether such massive spending will translate into real returns.

Finally, China-based DeepSeek remains a wildcard in the AI trade, following its disruptive AI model that rattled the market last week. Whether its breakthrough is a game-changer or an overhyped anomaly remains a key debate among industry watchers.

As AI investments continue to shape global industries, we’ll be tracking the key shifts, opportunities, and market reactions in next week’s AI Investment Radar.

Previous SwissCognitive AI Radar: The AI Market Shake-Up: Where the Investments Are Headed.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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SwissCognitive Guest Blogger: Zachary Amos – “How Countries Are Using AI to Predict Crime”

Industry 4.0 and 5.0 is using robotics to bring supply chains into the future. The last decade has been fraught with challenges, including delays, worker shortages and market volatility. Mitigating costs and enhancing the workforce are the goals of swarm robotics, and artificial intelligence (AI) is making them even more competent. See how these workers make supply chains resilient and competitive.

What Are Swarm Robotics?

Swarm robotics is a field focusing on large quantities of simple yet practical robots. These robots work best in groups to achieve straightforward tasks, making them optimal for reducing labor burdens. They also shine in industries like supply chains, where repetitive tasks take up a major portion of the working day.

Supply chains need to use swarm robotics because they are easy to manage simultaneously. They are autonomous, respond to environmental stimuli and are easy to reprogram to new tasks. The collective efforts of these machines can make decisions on the fly, covering ground from last-mile delivery to utilizing resources in a smarter way.

How Do Supply Chains Use Swarm Robotics?

These robots enhance operations while allowing supply chains to overcome common pain points. Each application for swarm robots is also made better by AI. What does this look like?

Dynamic Operations

Because swarm robots take tedious tasks away from workers, they allow people to focus on more high-level processes. In the meantime, the bots can tally inventory, navigating complex warehouses in large numbers. They are immediately deployable to do automatic updates, sending instant notifications to procurement, fulfillment and distribution teams.

Swarm robots are also ideal in changing, unstructured environments. With AI and sensor technology, they can map areas no matter how complicated they are. As they learn to navigate, they become more proficient when interacting with similar environments because of machine learning algorithms. This informs routing and navigation and allows perpetual scaling potential.

Cost Reduction

Delegating tasks to robots saves supply chains tons of money. Human error costs corporations between $50-$300 for every mistake. The increased accuracy is only one aspect of the financial savings. The robots save businesses time and money in talent acquisition processes, which take efforts away from fulfilling client needs.

However, the most prominent financial gain may be from warehouse savings. Refined inventory management prevents objects from taking up square footage and energy as they collect dust. Instead, there is detailed metadata on each item, their expiration date, market values and more, which swarm robots can collect with AI.

Productivity Gains

ot only do AI-powered swarm robots save money, they make everything more efficient. Preventing errors, defects and more can shorten lead times from suppliers. In one study, several industries experienced shortened fulfillment lead times by an average of 6.7 days.

They can also allow parallel task execution. While some robots pick up objects, others can transport them and even more can pack them. This yields numerous time savings across lengthy processes with multiple intermediaries.

There are also other productivity gains because swarm robots make supply chain environments safer for workers. They can constantly monitor unsafe conditions in real time, saving employees the trouble of entering dangerous circumstances. This means fewer workers experience injuries and incidents, allowing them to work with higher morale in safer conditions.

Preparing the Swarm

Much like swarms of ants group together to achieve a common goal, these types of robots optimize supply chains. Combining them with AI makes them even more powerful. As they advance, swarm robotics consistently prove they are a must-have fixture for supply chain management in the future.

About the Author:

Zachary Amos is the Features Editor at ReHack, where he writes about artificial intelligence, cybersecurity and other technology-related topics.

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By Martina Fuchs

Credits: The Female Quotient / The Frequency School – “First Song Ever to Unite Women from All Countries Using Sound Healing Frequencies”

The Frequency School – in partnership with The Female Quotient – launched “195”, the first song in history featuring women from all of the world’s 195 countries using sound healing frequencies and the 528 Hz ‘Love Frequency’ in a bid to ignite a global movement and raise awareness about gender equality across various industries including technology.

The Frequency School co-founded by Grammy-nominated and multi-platinum music producer Maejor, Kingsley Maduka, Brandon Lee, Aaron Dawson and Martina Fuchs premiered this visionary, powerful and universal campaign at a side-event in Davos, Switzerland which took place during the first day of the 55th Annual Meeting of the World Economic Forum (WEF).

Using the sounds of birds and the heartbeat as instrumental elements, “195” aims to raise the world’s frequency, elevate humanity, and trigger a positive impact by uniting and empowering women worldwide.

One woman in every one of the world’s 195 countries recognized by the United Nations said one word: “EQUALITY” in her national language or native tongue.

Martina Fuchs, business journalist and executive producer of the 195 women song, said:

“It has always been my dream to produce the first song in history featuring every country on the planet. Our vision was to unite 195 women from all walks of life from around the globe in this pioneering and groundbreaking initiative to advocate for gender equality and the rights of women and girls, and to help people struggling with mental health issues. Gender equality is not only a fundamental human right, but a necessary foundation for a peaceful, prosperous and sustainable world.”

U.S. Grammy-nominated and multi-platinum music producer Maejor who produced the song using sound healing frequencies said:

“We chose to use 528 Hz for the track which is often referred to as the ‘love frequency’, or the frequency of transformation and miracles. It provides a powerful energetic foundation for creating an environment where equality can flourish. By resonating with a frequency linked to unconditional love, we wanted to promote more respect and fairness for women, as well as deep inner healing and a state of peace. The transformative vibration of 528 Hz can inspire positive action and empathy and people to act more kindly and inclusively.”

According to scientific studies and music theory, Solfeggio frequencies, ranging from 174 Hz to 963 Hz, offer unique sound patterns that promote relaxation, stress relief, and overall well-being. These frequencies have been shown to positively impact mental, emotional, and physical health by generating vibrations that help achieve a state of calm and balance of the mind, body and spirit.

Miriam Moriati, President of the Kiribati Rotaract Youth Club and a Women and Youth representative for OARS (Ocean Alliance for Resilience and Sustainability), said:

“I’m from Kiribati, a small island nation in the Pacific, where our highest point is just 3 meters above sea level. Our women in Kiribati are vulnerable due to gender equality not being part of our culture and traditions. They are often the first to be affected by crises and the last to recover. Being part of this initiative to support women on an international stage is an incredible honor. Opportunities to represent our small country are rare, and I am grateful for this platform to amplify the voices of Kiribati women.”

Dalith Steiger, Co-Founder of SwissCognitive and the voice of Israel in the song said:

“Equality is not just an ideal—it’s our collective responsibility. The lack of gender equality still remains a huge challenge in the technology space that we need to tackle. I’m convinced that AI can support us to unbias the bias! I am grateful to be part of this global women empowerment initiative to raise awareness across various sectors.”

A new white paper by IMD in collaboration with Microsoft Switzerland and EqualVoice released at the WEF on Thursdy provides in-depth analysis and guidance for organizations to mitigate against risks and use AI responsibly.

More than 80% of the world’s organizations are expected to be using GenAI tools in production environments by 2026, and the productivity gains will likely boost global GDP by $7tn in the next decade. Yet even as innovation races ahead, important questions need to be asked about the potential risks.

Read the full report “Mind the Gap Addressing the risk of bias in Generative AI”.

The “195” song is planned to be submitted for a Guinness World Records for the title: “Most nationalities to contribute vocals to a musical recording (single song)”.

@Brandon Lee Shelley Zalis The Female Quotient The Frequency School

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Copyright: forbes.com – “Emotional Intelligence is More Important Than Ever in the Age of AI”

While most of us accept that artificial intelligence isn’t going to take over the world just yet, there’s a growing recognition that businesses and their employees are going to have to adapt their skills pretty swiftly. According to the 2024 Global CEO Survey from consulting firm PwC, seven out of 10 CEOs believe that AI will significantly change the way their company creates, delivers and captures value over the next three years. On the plus side, 41% believe it will increase revenue. However, those in “AI-exposed” jobs (such as administration and customer service agents) have seen 27% lower job growth, and anticipate a 25% higher skills change rate than those who are not at risk.

In most cases, AI won’t replace entire jobs, but speed up or automate certain aspects of them, often freeing staff up to work on something more satisfying or of higher value. The emotionally intelligent, human side of work is something it is unlikely to be able to replicate, at least in the near future. AI’s power lies in being able to process vast amounts of data with speed and accuracy, but its limitations become apparent when it encounters the complexity of human behaviors. It’s also known for its fallibilities, sometimes producing false responses to prompts or biased outcomes because of the data it’s working on or the way it has been programmed.

I define emotional intelligence as self-awareness, which is a critical skill in this increasingly AI-driven world. Whatever level someone is working at, it’s important that they know how to read the room and adapt how they work with a colleague or client.[…]

Read more: www.forbes.com

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AI in Corporate Budgets and National Strategies – SwissCognitive AI Investment Radar

The UK government is making a $17 billion commitment to AI, setting the stage for large-scale adoption with its AI Opportunities Action Plan. Meanwhile, Microsoft has confirmed a staggering £65.1 billion AI infrastructure investment, reinforcing the tech industry’s reliance on expanding AI data centers. In the U.S., Amazon is allocating $11 billion toward cloud and AI infrastructure in Georgia, further cementing its role as a key player in AI development.

The private sector is also making significant moves. Blackstone’s $300 million investment into AI data company DDN positions the firm at the forefront of AI-driven data storage and analytics. Meanwhile, Singapore secures a $7 billion Micron investment to strengthen its role in the AI supply chain. In the automotive industry, Hyundai is investing $16.6 billion to integrate AI into electric vehicle production, signaling a shift in manufacturing strategies.

Retail and consumer brands are also embracing AI, with spending projected to rise by 52% in 2025. A Honeywell survey reveals that over 80% of U.S. retailers plan to expand AI investments to improve customer experience and operational efficiency. However, while enterprises are willing to invest up to $250 million in generative AI, questions about return on investment persist.

AI is increasingly shaping global markets, not just as a technological tool but as a key driver of economic strategy. Whether through national policies, corporate spending, or AI-driven supply chains, investments in AI are becoming a defining force for the future of business and innovation.

Stay tuned for next week’s AI investment updates.

Previous SwissCognitive AI Radar: AI Investment Opportunities Worldwide.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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