Here are the latest AI developments to keep an eye on:

Nvidia pledges $500B to build U.S. AI supercomputers
Meta to train AI on public Facebook & Instagram data
New AI model reveals misfolded proteins in Alzheimer’s
MIT trains LLMs to reduce toxic language
Leaders assess AI risk with business impact framework
…and more!

That’s a wrap for this week – more AI stories coming soon!

Wishing you a peaceful and joyful spring season.

Warm regards,

The Team of SwissCognitive

Der Beitrag Who’s Betting, Where, and Why in AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Who’s Betting, Where, and Why in AI – SwissCognitive AI Investment Radar

As global AI funding levels remain elevated, this week’s investment activity reveals a tightening pattern: fewer hubs, bigger bets, and sharper focus. Silicon Valley, Beijing, and Paris now account for 80% of global AI funding, while other regions navigate capital scarcity and look for niche leverage. Meanwhile, Amazon’s CEO used his annual letter to justify billions already spent, calling AI investments a necessity for long-term competitiveness.

In San Francisco, startup Virtue AI secured $30 million to tackle deployment risk, a concern that’s becoming more pronounced as adoption scales. UK-based Synthesia reported $100 million in revenue and welcomed Adobe Ventures as a new backer, underscoring the value of enterprise AI tools that are already delivering results. And in China, a newly launched $8 billion AI fund backed by government and finance ministries will channel early-stage investments into foundational research and startup formation.

CEE continues to gain investor attention as a cost-efficient and increasingly capable AI development region, while Korea saw a domestic political pledge of $70 billion toward AI initiatives. On the infrastructure front, Nvidia’s $500 billion long-term strategy—including chips and supercomputing partnerships—continues to drive share price gains, while nEye Systems closed a $58 million round to push optical chip development further into the AI stack.

Big tech players aren’t staying out of the startup scene either. Alphabet and Nvidia reportedly invested in SSI, the new venture by OpenAI co-founder Ilya Sutskever, and ex-OpenAI CTO Mira Murati’s startup is reportedly eyeing a massive $2 billion seed round. CMA CGM’s €100 million partnership with Mistral AI brings logistics into the funding spotlight, and the trend toward agentic AI for financial research continues to spread across fintech.

Previous SwissCognitive AI Radar: AI Funding Highlights.

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.

Der Beitrag Who’s Betting, Where, and Why in AI – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Here’s a fresh batch of stories shaping the AI conversation:

Europe plans €20B AI gigafactories to boost innovation
US tariffs risk weakening AI alliances, say experts
Alzheimer’s research taps into AI through new training program
4,000 researchers share optimism on AI’s benefits
AI analysts emerge as key to enterprise transformation
…and more!

Let’s keep tracking how AI continues to unfold!

Kind regards,

The Team of SwissCognitive

Der Beitrag AI Alliences at Risk erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

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.

Der Beitrag AI Funding Highlights – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Get up to speed on the AI stories making an impact right now:

Mega-rounds shift toward infrastructure and applied AI
Brain implant,  using AI enables speech from thought
AI beat the Turing Test by being a better human
AI predicts virus outbreak hotspots using host traits
Brain-inspired AI cuts power and boosts efficiency
…and more!

The AI conversation never stops – and neither do we! Don’t miss what’s next!

Warm regards,

The Team of SwissCognitive

Der Beitrag AI Passes Turing Test by Acting More Human erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

From Mega Rounds to Market Ripples – SwissCognitive AI Investment Radar

The AI Investment Radar is back with another Thursday-to-Thursday round-up of the most significant developments in global AI funding and strategic investment. This week, headline attention was dominated by Anthropic’s $3.5 billion round—March’s largest raise—marking a continued race among frontier model developers. Yet beyond that, capital movements spanned from public sector commitments to corporate scaling strategies.

EY-Parthenon announced a $250 million allocation toward AI-powered edge platforms, while Deloitte reaffirmed its $3 billion commitment by expanding its Global Simulation Center of Excellence. OpenAI’s plans for a $40 billion round, led by SoftBank, underscored how large-scale compute and model development remain critical funding priorities.

At a government level, the EU pledged €1.3 billion to develop AI and digital skills under its Digital Europe Programme. On a global scale, IDC projects that AI investments will add $22.3 trillion in economic value by 2030, equating to nearly $5 for every dollar spent. Meanwhile, philanthropic and regional efforts—from Google’s $10 million AI grant to nonprofits, to Mastercard’s investment in Singapore-based AIDA—highlight the growing importance of distributed innovation.

CoreWeave’s downscaled IPO, along with continued investor concerns about AI implementation gaps, also offer a more tempered look at the market’s momentum. Yet from drug discovery at Isomorphic Labs to AI-enabled supply chain optimization, the range and depth of AI deployments continue to grow.

Tune in next week for more updates of the world of AI investments.

Previous SwissCognitive AI Radar: Global AI Capital Moves at Full Speed.

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.

Der Beitrag From Mega Rounds to Market Ripples – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

From brainwaves to the edge of space, AI is powering bold new directions.

Man with ALS fed his dog with only his thoughts
EU commits $1.4B to boost AI and cybersecurity
AI unlocks new paths toward curing disease
AI and data power next-gen space exploration
…and more!

See you next Sunday with fresh insights from the world of AI!

Sunny regards,

The Team of SwissCognitive

Der Beitrag Man Feeds Dog with Thoughts Thanks to AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Global AI Capital Moves at Full Speed – SwissCognitive AI Investment Radar

AI funding momentum hasn’t slowed. From global infrastructure projects to nuanced questions about investor confidence, this week brought high-dollar commitments alongside critical reflections on where the money is flowing—and why.

The United Arab Emirates made headlines with a bold $1.4 trillion, 10-year commitment to invest in the United States, a move that reflects the centrality of AI and tech collaboration in long-term statecraft. Meanwhile, BlackRock’s joint initiative with Microsoft, NVIDIA, and xAI signals continued investor appetite for large-scale AI infrastructure, with $100 billion earmarked for global data centers and energy solutions.

Several firms are also reinforcing their US presence: Hyundai announced a $21 billion investment, Siemens followed with $10 billion, and Schneider Electric added another $700 million—all aimed at fortifying AI-driven manufacturing and operations amid ongoing trade policy uncertainty.

Vietnam’s small businesses are setting the tone in Asia-Pacific, where 44% named AI their top tech investment for 2024. Fractal Analytics’ $13.7 million investment into India’s first reasoning model and Germany’s €2.1 million seed round for enterprise AI search show how national AI goals are increasingly shaped by local strategies and use cases.

Yet, not all attention is on infrastructure. Thought leaders at Man Group and other investment firms raised flags about the sustainability of AI stock valuations. An AI model under a top-performing fund has been flashing warnings on mega-cap tech stocks, including Nvidia. Still, audiences from pharma to finance are assessing AI’s value not just in terms of returns, but in ethics and relevance, particularly when it comes to pharma’s future and the realities of Artificial General Intelligence claims.

As global interest in AI capital remains high, this week’s updates highlight a shift from novelty to operational depth. More investment—yes—but also more scrutiny.

Previous SwissCognitive AI Radar: New AI Investment Funds and Strategic Expansions.

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.

Der Beitrag Global AI Capital Moves at Full Speed – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Zachary Amos – “Is Healthcare AI Prioritizing People or Profit?”

In many sectors, artificial intelligence (AI) is largely a tool for driving efficiency, but in healthcare, it can save lives. However, medical practices are still businesses at the end of the day, so AI’s cost-saving benefits are hard to overlook. While that’s not an issue in and of itself, the push to save money can lead to healthcare organizations prioritizing profit over people.

How Healthcare AI May Put Profit Before People

AI is a powerful financial management tool. It can analyze vast amounts of data to highlight opportunities to increase profits and emphasize areas that may not pay back investment. 

AI insight in healthcare could lead private practices to drive high-value drug or treatment sales instead of focusing on care accessibility. It may also lead to preferential treatment of more profitable patients. Some hospital systems claim they have lost as much as $640 million on Medicare recipients. AI-driven cost analysis may drive hospitals to reduce their investment in these populations because of the lower financial incentive.

AI’s profit-driving capabilities can influence healthcare ethics in subtler ways, too. Staff may over-rely on automation and machine learning because it saves them time. However, AI hallucinations are still possible. Similarly, the underrepresentation of diverse patients in training datasets can lead to biased AI results, which may negatively impact a medical system’s ability to care for historically underserved groups.

Prioritizing convenience and efficiency goals over avoiding these missteps may come at the cost of effective and equitable care. Even if medical profits increase, patient outcomes and healthcare disparities could worsen.

How to Ensure Responsible AI Usage in Healthcare

Despite these risks, AI has many beneficial implications for patients, so the industry cannot ignore it. Healthcare organizations can use these steps to ensure ethical, patient-centric AI usage.

1. Focus on Direct Patient-Impacting AI Applications

First, hospitals must prioritize AI use cases that directly impact patients over those that drive economic or efficiency gains for the organization. Medical imaging and diagnostic tools are among the most crucial. 

AI can identify Alzheimer’s with 99.95% accuracy and achieve similar results with many cancers and other conditions. Investing in these applications rather than in AI-based financial analysis will ensure AI’s benefits go directly to promoting better care standards.

Personalized treatment is another promising area for responsible AI usage. Machine learning models can analyze an individual patient’s medical history and physiology to determine which courses of action will help them most. This application is more ethical than using AI to compare the profitability of different treatment options.

2. Ensure Responsible AI Development

Healthcare organizations must address the bias issue in their AI models. Studies have found that removing specific biased factors from training datasets can maintain model accuracy while reducing the risk of prejudice. Common examples of these factors include names, ethnicities, age and gender-related labels.

Having a diverse team of AI developers who regularly inspect models for signs of bias or hallucinations can help. Relying on synthetic data is also a useful strategy, as this can make up for gaps in historical real-world information that may lead to unreliable or biased results.

3. Train Medical Staff on AI Best Practices

Finally, medical companies should train their staff so they’re familiar with how AI can affect care equality. When users understand how misusing AI or failing to catch errors can harm patients, they’ll be more likely to use it responsibly.

Cybersecurity deserves attention, too. A criminal can hinder reliable AI results by poisoning just 0.01% of its data, which can lead to harmful results if unnoticed. Training employees to follow strict access policies and resist phishing attempts will mitigate some of these concerns.

Healthcare teams should also write formal policies to ensure a human expert always makes the final decision on anything affecting patients. AI can provide insights to inform human choices, but it should never be the ultimate authority, given the risk of bias and the temptation to prioritize profit over equitable care.

Ethical Healthcare AI Is Possible

When organizations use it responsibly, healthcare AI can make the industry a safer, more equitable place. However, failing to account for possible shortcomings and errors will create the opposite effect. Learning about how AI can influence both ethics and profitability is the first step in creating a better future for patients and their care providers.

About the Author:

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

Der Beitrag Is Healthcare AI Prioritizing People or Profit? erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

This is your last chance to nominate! The Global AI Ambassador Program 2025 closes next week—don’t miss the opportunity to recognize AI leaders shaping the future.

In the meantime AI is advancing in research, defense, healthcare, and business—here are this week’s highlights:

AI deciphers genetic mysteries in biomedical research
US Space Force outlines AI-driven space strategies
AI-powered brain implant enables robotic arm control
Self-healing AI systems strengthen cyber defense
…and more!

Stay ahead in AI—catch you next week with more updates!

Kind regards,

The Team of SwissCognitive

Der Beitrag Last Chance for Recognition erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.