Read the original Forbes article here: https://www.forbes.com/sites/bradtempleton/2025/08/13/robocar-startup-tensor-unveils-luxury-self-drive-car-for-2026/ As reported by Forbes in August 2025, Silicon Valley-based AI company Tensor introduced the world’s first personal Level 4 autonomous vehicle built for private ownership: the Tensor Robocar. While many industry players continue to focus on centralized robotaxi fleets, Tensor is exploring a different path —one where autonomy is not merely accessed via platforms, but is integrated directly into individually owned vehicles.  Tensor's repositioning, from its earlier days as AutoX in China to its current form as a U.S.-based builder of personalized autonomous agents, reflects a broader trend toward embedded, agentic AI systems that serve individual users. The Robocar is not just a car; it is being framed as a mobile AI companion designed to enhance autonomy, privacy, and user control.     Tensor's Robocar - Source: The Verge About Tensor  Founded in Silicon Valley in 2016, Tensor is an American AI company focused on building agentic technologies, products that act on behalf of their users with intelligence and autonomy. Originally known as AutoX, the company launched one of the earliest robotaxi fleets in China before divesting its operations there to concentrate on a new vision: the personal Robocar. Tensor’s flagship product embodies this shift. With its dual-mode design and advanced AI stack, the Tensor Robocar positions itself not just as an autonomous vehicle but as a mobile AI agent built for private ownership. Headquartered in San Jose, with offices in Barcelona, Dubai, and Singapore, Tensor aims to redefine how individuals engage with autonomous mobility.  The Tensor Robocar: Redefining the technical architecture of autonomy  The Tensor Robocar was engineered from the ground up for autonomy. With over 100 integrated sensors, including 37 cameras, 5 custom lidars, and 11 radars, the vehicle offers comprehensive situational awareness. A foldable steering wheel and retractable pedals enable seamless transitions between human and autonomous operation.  Central to this platform is the Tensor Foundation Model, a dual-system AI framework. One part relies on imitation learning to handle real-time reflexive driving tasks, while the other uses a transformer-based visual-language model to interpret edge cases and environmental complexity. Together, they represent an effort to balance fast decision-making with broader contextual reasoning, a necessary step for consumer-grade autonomy.  The Robocar was conceived from the start for private ownership, with production handled by Vietnamese automaker VinFast. Engineering for full-stack redundancy and user autonomy  The Robocar was designed with self-reliance at its core. Full redundancy across power, communications, and control systems, alongside sensor cleaning, diagnostics, and over-the-air updates, enables the vehicle to function with minimal human intervention.  This level of resilience is rarely seen in consumer products. The vehicle is engineered to anticipate maintenance needs, park autonomously, and operate even in suboptimal environments, such as low-signal garages or bad weather. These capabilities hint at a shift from AVs as fleet-managed assets to self-sustaining, user-oriented machines.    The call for visionary founders and ecosystem collaboration  At VinVentures, we seek out founders who not only bring technical expertise but can also align with complex, multi-stakeholder environments. The Tensor case illustrates the kind of global partnership model that may become increasingly common, and necessary, as AI-native systems move into the physical world.  As we think about the next wave of founders and frontier technologies, we are especially interested in those who can contribute to building long-term, high-trust collaborations across the global tech-industrial landscape. 👉 Interested in driving innovation with VinVentures? Share your venture with us   HERE .

AI has become the driving force of venture capital in 2025, but the surge in capital isn’t as broad as the headlines might suggest. According to  EY report on Venture capital investment trends (2025) , startups raised over $80 billion in the first quarter alone, nearly 30% higher than the end of last year. Yet peel back the numbers and you see a different story: without one $40 billion AI deal, total funding would have dropped by more than a third. In other words, capital is piling up, but it’s pooling around a few frontrunners rather than flowing evenly across the market. That dynamic creates as many risks as it does opportunities, and it puts real pressure on both founders and investors to stay grounded in fundamentals.  In 2025, venture capital is moving to a new rhythm, and AI is the conductor. The most eye-catching rounds tell us that money is no longer something founders must chase, at least not the ones at the very top. Instead, investors are lining up with preemptive offers, perks, and even the occasional surprise term sheet.    A Market Where Investors Do the Chasing  Decagon AI illustrates this shift. Barely two years old, the company, building AI systems for enterprise decision-making, has raised more than $230 million across four preemptive rounds. Three months after closing a $1.5 billion round, it was fielding unsolicited offers at valuations as high as $5 billion. Investors weren’t just offering capital, they were offering access, experiences, and even hand-delivered “gifts” hiding term sheets.  Other names tell the same story. Anysphere, which develops AI tools for software engineers, doubled its valuation from $9.9 billion to $18 billion within weeks and may rise to $40 billion if growth holds. Anthropic, focused on frontier large language models, secured $13 billion, more than double its original target. Perplexity, the AI-powered search and Q&A platform, closed three rounds in a single year, climbing to $20 billion.  The common thread? The best-positioned AI startups aren’t asking for money; money is chasing them.  The Data Confirms the Trend  Anecdotes aside, the numbers are striking. According to the EY , it shows that VC-backed companies raised $80.1 billion in Q1 2025 , the strongest quarter since 2022. But here’s the crucial detail: without a single $40 billion AI transaction , total funding would have fallen 36%  compared to the prior quarter.  Other signals from the report reinforce the picture:  More than 70% of all VC activity was AI-related .     The number of deals fell , even as capital volumes surged.   Mega-rounds above $100 million declined slightly  from Q4 2024.    In short, this isn’t broad-based venture growth. It’s a wave centered almost entirely on AI, carried by a small set of outsized transactions.  Why This Cycle Feels Different, and Familiar  For seasoned observers, the pattern recalls both the dot-com boom of the late ’90s and the zero-rate surge of 2021: compressed fundraising timelines, valuations doubling in weeks, and investors competing fiercely for allocation.  Yet there are key differences. Today’s pools of capital are larger, and AI is not a niche, it is a general-purpose technology cutting across sectors, from enterprise productivity to healthcare and industrial automation. This breadth gives the cycle more structural weight than previous hype waves. Still, the risk remains the same: when valuations leap ahead of business fundamentals, companies can find themselves boxed into unrealistic growth targets or future down rounds.  Implications for Founders and Investors  For founders, the opportunity is obvious: larger checks, longer runways, and freedom to build. But every valuation is also a promise. Raising at $10 billion means convincing the market you can grow into it. If that trajectory falters, strategic options narrow.  For investors, the challenge is discipline. The pressure to gain exposure to leading AI companies is intense, yet paying any price is rarely a winning strategy. Declining deal volumes show that capital is not indiscriminate, it’s being funneled toward firms with clear product-market fit, credible technology, and paths to liquidity.  What does this mean for the rest of 2025? Three themes stand out:  AI remains the epicenter  of venture funding, driving both infrastructure and early applications.  Selectivity increases : capital will keep concentrating in the frontrunners, while weaker legacy companies face challenges raising.  Valuation discipline matters : the companies that endure will be those that use capital as a tool, not a trophy.  Conclusion  The message is clear. AI has become the defining theme of venture capital in 2025, lifting overall numbers to multi-year highs. But this surge is not evenly distributed, it rests heavily on a handful of megadeals and frontrunner companies.  For founders, the environment offers unprecedented opportunity, but it comes with heightened expectations. For investors, the temptation to chase access must be weighed against fundamentals.  Capital may be moving faster, but building durable businesses still takes time. And in this AI-driven cycle, it will be discipline, not just dollars, that separates long-term winners from short-lived stories.  References list:   Bloomberg News. (2025, September 23). Private jets, box seats and big checks. Investors are doing whatever it takes to get into top AI deals . Bloomberg. https://www.bloomberg.com/news/articles/2025-09-23/vcs-are-scrambling-for-a-piece-of-ai-darlings-like-anthropic-cursor-cognition   Ernst & Young. (2025). Venture capital investment trends . EY. https://www.ey.com/en_us/insights/growth/venture-capital-investment-trends   👉 Interested in driving innovation with VinVentures? Share your venture with us   HERE .

Europe’s ambitious plan to ban petrol cars by 2035 is facing serious challenges. Swedish battery maker Northvolt’s collapse, once heralded as a pillar for local EV production, has exposed deeper issues in the continent’s push toward clean mobility. Without affordable EV solutions and a self-reliant production ecosystem, Europe’s goal appears increasingly out of reach. Carmakers, including BMW, Volkswagen, and Renault, have urged the European Union to reconsider or delay its targets, arguing that the infrastructure and market conditions needed to support such a transition are insufficient. China vs. Europe: A Growing Gap While Europe grapples with its challenges, China has emerged as a dominant player in the global EV race. China’s Strengths Europe’s Challenges Affordable EVs like the $10,000 BYD Seagull High-cost models averaging €52,700 in Germany Strategic government subsidies since 2002 Limited incentives and withdrawal of subsidies Adoption of LFP batteries (safer and cheaper) Reliance on costlier lithium nickel manganese cobalt batteries Focused solely on electric mobility Burdened by combustion engine legacy China’s government has long prioritized electric mobility, investing heavily in EV technology and securing access to critical raw materials for battery production. This foresight has allowed Chinese manufacturers to dominate the affordable EV segment, leaving European companies struggling to compete. Economic and Political Risks The stakes for Europe’s car industry are enormous. Employing 13.8 million people and accounting for 7% of the continent’s GDP, the industry plays a critical economic role. Yet, declining car sales have already prompted Volkswagen to announce the closure of multiple factories. Such developments have sparked fears of economic instability, particularly in Germany, a hub of European car manufacturing. Politically, these economic pressures are fueling opposition to environmental policies. Far-right political parties are using the fallout to challenge the 2035 ban, framing green initiatives as threats to jobs and growth. Germany’s push for e-fuels—synthetic fuels touted as a cleaner alternative to petrol—has added further complexity to the debate. Critics argue that e-fuels are inefficient, expensive, and divert attention from the more viable path of EV adoption. Barriers to EV Adoption Consumers remain wary of electric vehicles for several reasons: 1.         High Costs : EVs are perceived as unaffordable for many households. 2.         Safety Concerns : Myths surrounding battery safety persist. 3.         Infrastructure Gaps : Limited charging networks and slow deployment of renewable energy discourage adoption. These challenges have been exacerbated by the withdrawal of government subsidies, leading to a 1.7% drop in EV sales in Europe in 2024. Policymakers and manufacturers must work together to address these pain points, including expanding charging infrastructure and lowering costs through discounts and rebates. Proposed Solutions and Optimism Despite the obstacles, industry experts remain optimistic about Europe’s ability to meet its 2035 target. Carmakers like Volkswagen are developing affordable models, such as the ID.1 and ID.2, which could make EV ownership accessible to a wider audience. However, any delay in the deadline risks undermining public confidence in the transition to electric mobility. Volkswagen’s efforts exemplify the kind of innovation needed to revitalize the market, but broader collaboration is essential. Governments must provide robust infrastructure support, while manufacturers need to focus on affordability without compromising profitability. Comparisons to the global adoption of smartphones highlight the inevitability of this shift—better technologies ultimately win. Conclusion Europe’s journey toward electric mobility is fraught with challenges, but the potential rewards are immense. A successful transition will require a multi-faceted approach: addressing consumer concerns, building charging networks, and fostering collaboration between policymakers and manufacturers. With strategic investments and a clear focus, Europe can reclaim its position as a leader in the global EV revolution, paving the way for a sustainable and innovative future.   Source: https://www.wired.com/story/europe-wanted-to-lead-the-world-on-evs-carmakers-cant-keep-up/

NVIDIA, a global leader in AI computing, has shown significant interest in Vietnam, reflecting the country’s economic potential and proactive technology development strategy. Alongside other tech giants expanding into Southeast Asia, NVIDIA's initiatives mark a transformative shift for Vietnam’s tech sector. NVIDIA’s Commitment to Vietnam’s AI Ecosystem On December 5, 2024, NVIDIA signed a Memorandum of Understanding (MOU) with the Ministry of Planning and Investment to establish two major AI centers: the Vietnam Research and Development Center (VRDC) and an AI Data Center. This partnership aims to drive technological breakthroughs, enhance infrastructure, and develop Vietnam’s AI talent pool. NVIDIA’s commitment was further demonstrated by the acquisition of VinBrain, a Vingroup subsidiary specializing in AI-integrated medical solutions. VinBrain’s DrAid, an AI-powered diagnostic tool, is already in use in major hospitals domestically and internationally. This acquisition highlights the integration of AI in Vietnam’s healthcare sector. In April 2024, NVIDIA also partnered with FPT Corporation to create a $200 million AI factory in Hanoi, focusing on AI-driven solutions and education programs for 30,000 students. The first AI factory began operations in November 2024, with profitability expected by 2025. NVIDIA’s collaboration with GreenNode, a subsidiary of VNG Corporation, is another milestone. GreenNode offers AI and GPU services using NVIDIA’s technology, enhancing Vietnam’s AI infrastructure through its data hub in the Tan Thuan Export Processing Zone. Vietnam’s Strategic Role in the Global Tech Landscape Vietnam’s AI market is projected to reach $753 million in 2024, with a CAGR of 28.36% through 2030. This growth aligns with the regional pace, demonstrating Vietnam’s ability to compete on a global scale. NVIDIA’s investments play a pivotal role in Vietnam’s transition from low-tier manufacturing to a hub for high-tech innovation. Several factors contribute to this transformation: Strategic Geopolitical Advantage : Trade tensions and tariffs during the Trump administration accelerated the shift of tech manufacturing from China to Vietnam. This trend continues, positioning Vietnam as a key player in global supply chain realignment. Increasing Foreign Direct Investment (FDI) : Vietnam is attracting significant investments from major technology firms like NVIDIA, Microsoft, Google, AWS, and OpenAI. These investments bolster Vietnam’s infrastructure in AI, cloud computing, and data centers. Young, Skilled Workforce : Vietnam boasts over 5,000 engineers and 7,000 AI experts, supported by a literacy rate of 96.6%. The country’s average wage remains competitive, making it an attractive destination for high-tech manufacturing and innovation. Government Support : Proactive policies, strategic trade agreements, and initiatives promoting innovation-friendly environments create fertile ground for AI and tech investments. NVIDIA’s investments in Vietnam—through AI research hubs, strategic partnerships, and acquisitions—are pivotal in transforming the country into a regional AI innovation hub. Combined with Vietnam’s youthful workforce, thriving startup ecosystem, and supportive government policies, these developments offer a solid foundation for long-term technological growth. As Vietnam continues to evolve, the convergence of foreign investment, strategic geographical positioning, and technological talent sets the stage for a promising future in the global AI and high-tech sectors. Source: https://www.vietnam-briefing.com/news/nvidia-expansion-into-vietnam-potential-for-ai-sector-growth.html/

Southeast Asia has become a focal point for global tech giants like Nvidia and Microsoft, who are investing heavily in cloud services and data centers. These investments, projected to reach $60 billion over the next few years, are fueled by the region's young and tech-savvy population embracing trends like video streaming, e-commerce, and generative AI. However, the region’s own AI startups have not been able to capitalize on this momentum. Skepticism about the scalability and innovation potential of local startups has led to cautious investment, leaving many of these firms struggling to secure funding. The Funding Gap in Numbers Despite its promise, Southeast Asia’s AI startups secured only $1.7 billion in funding in 2024, a small portion of the $20 billion invested in AI across the Asia-Pacific region. Moreover, only 122 funding deals were recorded in the region compared to 1,845 deals across APAC. This funding disparity highlights the difficulties Southeast Asia faces in competing with the US and China, the world’s AI powerhouses, which attracted $68.5 billion and $11 billion in AI investments, respectively. Source: Preqin. Note: as of Dec 4, 2024 The Potential vs. Reality At first glance, Southeast Asia appears well-positioned to thrive in the AI landscape. With over 2,000 AI startups, the region outnumbers South Korea and comes close to Japan and Germany in terms of entrepreneurial activity. Singapore stands out, ranking third in the Global AI Index, thanks to its concentration of AI talent and robust infrastructure. However, the broader region—including nations like Indonesia, the Philippines, Thailand, and Malaysia—faces unique challenges. Differences in culture, language, and infrastructure create barriers to developing unified datasets, which are essential for scalable AI solutions.   Barriers to Scale and Growth The challenges facing Southeast Asia’s AI sector are not limited to cultural and linguistic diversity. The region’s startups also lack access to foundational AI technologies and large-scale software engineering capabilities. Unlike Silicon Valley or China, Southeast Asia does not yet have the infrastructure to support the development and deployment of cutting-edge AI systems at scale. The venture capital ecosystem is further hindered by limited exit opportunities, such as IPOs, which are exacerbated by underperforming public markets. Research from Google, Temasek, and Bain & Co. indicates that private funding for Southeast Asian startups has dropped to its lowest levels in years. This decline reflects a broader hesitancy among investors who view the region as lacking the profitability and scalability seen in more established markets. Source: Google, Temasek, Bain e-Conomy report 2024. Government Efforts and Regional Collaboration Despite these challenges, governments in Southeast Asia are actively working to foster AI innovation. Countries like Singapore have established national AI frameworks and provided funding to startups through government-backed investment programs. However, regional collaboration remains a significant hurdle. Nations in Southeast Asia often prioritize vastly different agendas—some focusing on high-tech development, others addressing basic infrastructure needs. This divergence makes it difficult to create a cohesive plan for AI-driven growth across the region. Experts emphasize the need for coordinated efforts among governments to prioritize “moonshot” innovations that could transform Southeast Asia into a global AI hub. Without such alignment, the region risks missing out on opportunities to leverage its growing digital economy.   Opportunities in Data-Driven AI Southeast Asia’s competitive advantage may lie in early-stage AI opportunities, particularly in data collection and organization. Building high-quality datasets can provide a foundation for creating scalable AI solutions. Singapore-based Patsnap exemplifies this approach. Over 17 years, the company has developed vast datasets covering patents, chemicals, and food industries, which now serve as the backbone of its sector-specific AI models. Similarly, Indonesia’s Alpha JWC is fostering AI innovation through programs that connect startups with large corporations. These initiatives aim to bridge the gap between emerging talent and real-world applications, offering a blueprint for sustainable growth in the region.   The Role of Digital Economy and Geopolitics While its AI sector faces hurdles, Southeast Asia’s digital economy is growing at double-digit rates, driven by a rising middle class, increasing mobile and internet penetration, and a youthful, tech-savvy population. Moreover, the region is relatively insulated from geopolitical tensions between the US and China, making it an attractive destination for foreign investors. This growth offers a strong foundation for the development of AI applications in e-commerce, fintech, and digital infrastructure. However, capitalizing on this momentum requires a cohesive ecosystem where governments, regulators, investors, and startups work in synergy.   The Path Forward Southeast Asia holds immense potential to become a global player in AI, but significant challenges remain. The region must address gaps in funding, infrastructure, and collaboration to unlock its full potential. By focusing on early-stage opportunities like data-driven innovation and fostering regional cooperation, Southeast Asia can position itself as a key player in the global AI landscape. The road ahead requires a shared vision and collective effort from all stakeholders—governments, investors, startups, and corporations alike. With the right strategies in place, Southeast Asia can ride the AI wave and solidify its position in the global tech ecosystem.   Source: https://www.bloomberg.com/news/articles/2024-12-19/southeast-asia-startups-miss-out-on-region-s-ai-fueled-tech-boom

As 2025 unfolds, the business landscape is undergoing transformative change. From extreme weather events disrupting industries to geopolitical shifts reshaping global dynamics, the world is in flux. Amid these challenges, one force stands out as the most significant driver of disruption and opportunity: Artificial Intelligence (AI). At the recent WIRED World in 2025 event, Azeem Azhar, founder of Exponential View , outlined how generative AI (gen AI) is set to redefine business operations. He likened its impact to groundbreaking technologies like the steam engine and electricity, which fundamentally reshaped economies. “Generative AI is a cognitive steam engine,” Azhar remarked, emphasizing its potential to increase productivity, spur growth, and create prosperity. To capitalize on this transformative power, business leaders must act decisively. Here’s a guide to navigating the opportunities and challenges of AI in 2025: 1. Embrace AI Now—Don’t Wait The rapid advancement of generative AI over the past two years has ushered in unprecedented capabilities. This constant acceleration can make it difficult for businesses to decide when and how to invest. However, waiting too long risks falling behind. Paul Michelman of Boston Consulting Group (BCG) highlighted the importance of proactive adoption. “Do you want to be a passenger or a driver?” he asked. To stay ahead, businesses must experiment with AI tools and integrate them into their operations. BCG’s AI agent, GENE, is a prime example, assisting with tasks like content creation and even facilitating sensitive organizational conversations. 2. Prepare for Two Key AI Shifts Azhar identified two major developments shaping AI in 2025: Mainstream Adoption of AI Tools: Generative AI products are reaching a level of maturity that makes them accessible and effective for widespread business use. Emergence of Autonomous AI Agents: AI systems are evolving to take autonomous actions, powered by reasoning models capable of breaking down complex tasks into logical steps. These agents could soon rival the expertise of top engineers, offering unparalleled support for technical and operational challenges. 3. Prioritize Strategic Problem Selection For businesses looking to leverage generative AI, problem selection is critical. Dorothy Chou of Google DeepMind stressed the importance of starting with areas where data quality is robust. High-quality datasets lead to better outcomes when grounding AI tools in an organization’s needs. Chou also encouraged businesses to tackle ambitious problems in high-impact areas like life sciences, energy, and education, despite the challenges of navigating regulated industries. While these sectors are harder to penetrate, they offer immense societal and commercial value. 4. Address the Scaling Challenge While some worry about a potential “scaling wall” in AI development—where advances in large language models hit diminishing returns—Azhar dismissed these concerns. The true limitation, he argued, lies in infrastructure. The demand for larger data centers to support AI growth is expected to be met as industrial necessity drives investment. 5. Stand Out in a World of AI-Generated Content Content creation is one of the most prominent use cases for generative AI. However, as more businesses rely on similar AI tools, the risk of producing generic outputs increases. To maintain originality, brands must combine AI-driven efficiency with human creativity. “Harness tech-driven efficiency, while ensuring human ingenuity shines through,” advised GENE, BCG’s conversational AI agent. Looking Ahead AI is no longer a distant promise—it’s here, and it’s reshaping industries at an unprecedented pace. For business leaders, 2025 offers an opportunity to redefine their organizations by embracing AI tools, selecting meaningful problems, and maintaining a balance between technology and human innovation. The question remains: Will you be a passenger or a driver in this era of transformation? SOURCE: https://www.wired.com/sponsored/story/how-business-leaders-should-navigate-ai-in-2025/

As the prospect of Artificial General Intelligence (AGI)—AI capable of surpassing human performance across most tasks—looms closer, Donald Trump’s presidency marks the beginning of a transformative era. Yet, his early comments on AI reflect a mix of enthusiasm and confusion, leaving his strategic direction unclear.   In a podcast interview with YouTube influencer Logan Paul, Trump referred to superintelligence as “super-duper AI,” revealing a limited grasp of the technology. While he voiced alarm over the dangers of deep fakes, calling them “scary” and “alarming,” he was equally captivated by large language models capable of drafting impressive speech scripts. Praising their speed and output, Trump joked that AI might one day replace his speechwriter.   Trump and Logan Paul on the Impaulsive podcast. Source: YouTube   These remarks illustrate Trump’s dual perspective: a fascination with AI’s transformative potential paired with a lack of nuanced understanding of its risks.   Silicon Valley and the Battle Over AI Regulation   The tech industry is deeply divided over the future of AI development, with two dominant camps shaping the conversation. On one side are “accelerationists” (or “e/accs”), who oppose regulation and advocate for unbridled technological advancement. On the other side are proponents of “AI alignment,” who focus on ensuring AI systems adhere to ethical standards and human values to mitigate risks.   Accelerationists often dismiss safety advocates as “decelerationists” or “doomers,” while alignment proponents warn of catastrophic outcomes if AI development proceeds recklessly. Within this polarized landscape, Trump’s administration is expected to favor accelerationist ideals, minimizing regulation to promote rapid innovation.   Prominent accelerationist figures have celebrated Trump’s election as a win for their cause. @bayeslord, a leader in the movement, declared on X: “We may actually be on the threshold of the greatest period of technological acceleration in history, with nothing in sight that can hold us back, and clear open roads ahead.”   However, this accelerationist optimism clashes with concerns from AI safety advocates, who argue that unchecked development could amplify societal risks, from biased algorithms to existential threats.   Policy Implications: AI Regulation and the CHIPS Act   Trump’s approach to AI regulation is expected to be shaped by his broader anti-regulation stance. He has already signaled plans to rescind President Joe Biden’s 2023 executive order on AI, which aimed to address risks such as discrimination in hiring and decision-making processes. Republicans have criticized these measures as excessively “woke,” with Dean Ball of the Mercatus Center noting that they “gave people the ick.”   Additionally, Trump’s administration may target the US AI Safety Institute, an initiative launched to ensure the safe development of AI technologies. Led by alignment advocate Paul Christiano, the institute represents a focal point for the Biden-era regulatory framework that Trump is likely to dismantle or reshape.   On the semiconductor front, Trump has criticized the CHIPS and Science Act, which was designed to bolster US semiconductor manufacturing—a critical component of advanced AI systems. However, there is bipartisan hope that his opposition is mostly rhetorical. Maintaining leadership over China in AI development is likely to influence Trump’s eventual support for policies that strengthen the semiconductor supply chain. During his podcast with Logan Paul, Trump underscored the importance of AI leadership, stating, “We have to be at the forefront. We have to take the lead over China.”   AI Safety and Republican Perspectives   Despite expectations of a deregulation-focused agenda, AI safety advocates believe Trump’s administration could be more open to their concerns than accelerationists assume. Sneha Revanur, founder of Encode Justice, points out that partisan lines on AI policy are not clearly defined, leaving room for nuanced discussions about risk mitigation.   Surprisingly, elements within Trump’s orbit have already engaged with safety-focused perspectives. In September, Ivanka Trump posted about “Situational Awareness,” a manifesto by former OpenAI researcher Leopold Aschenbrenner that warns of AGI triggering a global conflict with China. The post sparked widespread discussion, with some speculating about Ivanka’s potential influence on Trump’s policy decisions.   Other Republicans have raised concerns about AI’s societal impact. Senator Josh Hawley has criticized lax safety measures at AI companies, while Senator Ted Cruz proposed legislation to ban AI-generated revenge porn. Vice President-elect JD Vance has pointed to left-wing bias in AI systems as a significant issue.   These concerns suggest that the GOP’s stance on AI may extend beyond accelerationism to include targeted measures addressing specific risks.   The Role of Elon Musk: Ally or Critic?   One of the most influential voices in the AI debate is Elon Musk, whose views on regulation add complexity to the discussion. While accelerationists hail Musk as a hero, his support for stronger oversight complicates this narrative. Musk has called for a regulatory body to monitor AI companies and supported California’s SB 1047, a rigorous AI regulation bill opposed by major tech firms.   Musk’s advocacy for regulation stems in part from his public fallout with OpenAI, which he co-founded but left in 2018. Since then, he has criticized the organization, launched lawsuits against it, and established his own rival company, X.ai Corp. This rivalry, combined with Musk’s evolving views on AI safety, makes him a wildcard in shaping Trump’s AI policies.   Navigating Contradictions: Innovation vs. Safety   Republicans face a significant challenge in reconciling their stance on AI development. While the party is critical of Silicon Valley and wary of empowering tech giants, it also recognizes the need to stay ahead of global competitors like China. This tension is likely to influence their policy decisions in the coming years.   According to Casey Mock, chief policy officer at the Center for Humane Technology, Republicans are more likely to focus on immediate, tangible issues. Concerns such as deepfake pornography and students using AI to cheat on homework are expected to dominate the agenda, while long-term risks like AGI misalignment may take a backseat.   This pragmatic approach aligns with the party’s broader emphasis on addressing “kitchen table” issues that resonate with everyday Americans.   Shaping the Future of AI   As the first president of the AGI era, Trump’s policies will have far-reaching implications for the future of AI development. His administration’s accelerationist leanings suggest a push for minimal regulation, but internal party concerns and pressure from safety advocates could lead to a more balanced approach.   The AGI era represents a transformative moment in human history. How Trump navigates this period will not only define his presidency but also shape the trajectory of AI’s integration into society. With immense opportunities and significant risks at stake, the world will be watching closely as this story unfolds.   SOURCE: https://www.bloomberg.com/news/articles/2024-11-15/trump-s-anti-regulation-pitch-is-what-the-ai-industry-wants-to-hear?srnd=phx-technology-startups&sref=Tk1DJfhB

The insights below are derived from PwC's Global NextGen Survey 2024, which explores the evolving perspectives and roles of next-generation leaders in family businesses. This international survey, conducted online, gathered reflections from 917 next-generation leaders across 63 territories, including 33 from Vietnam, between November 2023 and January 2024. It offers a unique look into how these leaders are adapting to an increasingly digital and AI-driven business environment. In the context of family businesses, the terms "Current Generation" and "Next Generation" (NextGen) often refer to different generational cohorts within the same family who may be at varying stages of involvement and leadership within the company. The Current Generation typically includes those who are currently in control of the business, often having built or significantly expanded it. They generally adhere to traditional business practices and may be more risk-averse. Embracing Leadership in the Digital Age Vietnamese NextGen leaders are significantly marking their presence in leadership roles within family businesses, with an impressive 52% now holding such positions, a substantial increase from 29% in 2022. This trend underscores a strong generational shift towards greater involvement. the workforce is equipped with the skills needed to handle new technologies. Source: PwC’s Global NextGen Survey 2024 Vietnam report Furthermore, 76% of NextGen leaders in Vietnam have a clear understanding of their personal ambitions and the career paths envisioned by the current generation. They are tackling the complex challenges faced by businesses and society with a strategic approach that integrates human insight with technological advancement. A significant focus among these leaders is enhancing technological infrastructure, evident in 36% prioritizing this area, alongside ensuring that 33% of the workforce is equipped with the skills needed to handle new technologies. Source: PwC’s Global NextGen Survey 2024 Vietnam report Delving into Generative AI (GenAI) and New Technologies A remarkable 82% of Vietnamese NextGen leaders show a deep interest in exploring Generative AI (GenAI), recognizing its potential to fundamentally transform business operations and customer experiences. This widespread interest highlights their awareness of GenAI's capacity to reshape the competitive landscape and foster innovation. Additionally, 67% view AI as a crucial opportunity for leadership in the ethical use of technology, illustrating their readiness to embrace responsible innovation. This perspective is shared by 58% who believe that leading AI initiatives will not only progress their businesses but also establish their personal reputations as visionary leaders.  Source: PwC’s Global NextGen Survey 2024 Vietnam report Despite the eagerness to adopt AI, 63% of family businesses in Vietnam are still in the early stages of this technological integration. However, positive signs are showing, with 27% experimenting with AI in pilot projects, and 9% having fully integrated AI solutions into their operations, signaling proactive steps towards embracing this advanced technology.  Enhancing NextGen's Impact in Family Enterprises Navigating the digital landscape presents significant challenges, particularly when it comes to aligning the strategies of current and upcoming generations within family businesses. NextGen leaders, keen on pushing forward with new technologies, often find themselves at odds with more traditionally inclined current leaders. This underscores the critical need for effective communication and collaboration to harmonize these differing perspectives and secure the business's future success. Moreover, building robust governance and establishing trust are top priorities for NextGen leaders, with a significant majority recognizing the importance of clear ethical guidelines for AI usage. Despite this awareness, only a fraction have put such governance structures into place, revealing a substantial gap between intent and execution. The survey further highlights the importance of involving NextGen leaders in low-risk, high-return AI projects. This strategic approach allows family businesses not only to stay competitive but also to lead the charge in technological advancements, capitalizing on the innovative mindset and technological savvy of the younger generation Read more at:  PwC’s NextGen Survey 2024 - Vietnam report | Succeeding in an AI-driven world

Source:   VinFast Press Release, VinFast partners with and invests in prologium for solid-state batteries development, July 2022. In July 2022, VinFast announced a multi-million-dollar investment in ProLogium, a global leader in next-generation solid-state battery technology, through a Vingroup-affiliated company. The strategic partnership is designed to strengthen VinFast’s long-term battery supply chain and advance its mission to deliver smart, high-performance electric vehicles globally. Image source: VinFast As part of this collaboration, VinFast and ProLogium signed a Memorandum of Understanding (MoU) outlining joint efforts in developing battery pack designs tailored to VinFast’s electric vehicle (EV) specifications. The collaboration will prioritize performance, safety, and sustainability, leveraging ProLogium’s proprietary solid-state battery technology. Under the agreement, ProLogium will begin supplying solid-state battery cells to VinFast as early as 2024, drawing from its first large-scale manufacturing facility expected to launch in 2023. A significant portion of the plant’s capacity will be allocated to serve VinFast’s production needs. The two companies are also exploring the potential for a joint-venture battery factory in Vietnam. Solid-state batteries are considered a breakthrough in EV technology, offering improvements in safety, energy density, fast-charging capability, weight, recyclability, and lifespan. This partnership marks a key step in VinFast’s strategy to secure access to advanced battery technology, meet growing global demand, and expand its smart mobility offerings. VinFast’s investment in ProLogium builds on a broader battery ecosystem developed by Vingroup. In 2021, Vingroup invested over 4 trillion VND to establish the VinES battery plant in Ha Tinh, Vietnam, producing battery packs and cells for VinFast EVs. Most recently, VinFast announced the construction of a $2 billion manufacturing facility in North Carolina, USA, for electric cars, e-buses, and related industries. VinVentures now oversees this investment, reflecting our role in advancing Vingroup’s pioneering spirit and deeptech synergies across the ecosystem. Interested in driving innovation with VinVentures? Share your venture with us HERE .

Source:   Vingroup News, VinES partners with StoreDot to accelerate the development of extreme fast-charging (XFC) batteries ,  April 2023. In April 2023, VinES Energy Solutions, a member of Vingroup, announced a joint development agreement with StoreDot, an Israeli company known for pioneering extreme fast-charging (XFC) battery solutions for electric vehicles. Image source: Vingroup This collaboration builds upon VinES’s earlier strategic investment in StoreDot’s Series D funding round in January 2022, and marks an important milestone in advancing battery innovation within the Vingroup ecosystem. Under the agreement, VinES and StoreDot will co-develop XFC battery cells in multiple form factors, laying the groundwork for mass production and commercial deployment. StoreDot will license and share its proprietary XFC technology, while VinES will contribute its expertise in battery form-factor development, manufacturing, validation, and supply chain operations. The first generation of commercial-ready XFC battery cells is expected to launch in 2025, with VinFast vehicles set to be among the earliest adopters. These batteries aim to drastically reduce charging times and improve user experience, helping remove one of the major barriers to widespread EV adoption. StoreDot’s technology roadmap includes its “100inX” vision — delivering 100 miles of range in 5 minutes by 2024, in 3 minutes by 2028, and in 2 minutes by 2032. This roadmap, combined with VinES’s manufacturing and industrialization capabilities, positions the partnership to play a leading role in the future of electric mobility. VinVentures now oversees this investment, reflecting our empowerment value — giving startups the resources and strategic partnerships they need to turn bold ideas into real-world impact. Interested in driving innovation with VinVentures? Share your venture with us   HERE .

We are thrilled to present the "Vietnam Tech Startup Ecosystem 2024" , a must-read report for anyone looking to stay ahead in the ever-evolving tech ecosystem. This comprehensive analysis focuses on deal activity and the investment landscape , shedding light on: Key trends driving Vietnam’s position as a leader in Southeast Asia’s tech investment growth.. Insights into deal activity over the last year, from deal sizes to notable transactions Emerging sectors beyond FinTech and Consumer Tech, such as Agritech and Foodtech, paving the way for new opportunities. FILL IN THE FORM TO GET THE REPORT

What has happened?  According to DealStreetAsia , CROWDE, an agri-focused P2P lending platform backed by Monk’s Hill Ventures and Mandiri Capital Indonesia, has been hit by a major governance crisis. Internal whistleblowers revealed that between 2021 and 2024, approximately IDR 800 billion (~$49 million) in loan funds was diverted into fake farming projects, rather than reaching smallholder farmers.   Only about IDR 500 billion ($30 million) of the IDR 1.3 trillion ($80 million) disbursed during that period went to legitimate agricultural activity. The rest allegedly passed through shell vendor companies linked to insiders. Company background  CROWDE was founded in 2016 by Yohanes Sugihtononugroho. It was initially hailed as a "fintech enabler for smallholder farmers," aiming to facilitate financial access for this underserved group. Its core business model was that of an Agri-focused Peer-to-Peer (P2P) lender.  Initially, CROWDE's business model involved connecting farmers with individual (retail) lenders. However, by the end of 2019, CROWDE had completely shifted its model to work exclusively with institutional lenders, primarily banks. Major institutional lenders included Bank Mandiri, Bank BJB, J Trust Bank, and some local BPRs (rural banks). CROWDE had also secured funding from major venture capital firms. Its last known funding round was a $9 million Series B in 2021, which was led by Monk’s Hill Ventures, Mandiri Capital Indonesia, Great Giant Foods, and Panasean Group. Previous investors included Strive (formerly Gree Ventures) and Crevisse. Notably, Bank Mandiri’s corporate venture capital arm, Mandiri Capital, was the third-largest shareholder in CROWDE.  How was CROWDE's fraud executed?  CROWDE's alleged fraud was a multi-faceted scheme that involved diverting loan capital through fake projects, shell vendor networks, and manipulated borrower data, exploiting vulnerabilities in the P2P lending model and the limited financial literacy of farmers. The fraud is be broken down as: Diversion of loan capital through fake projects and shell networks Out of 1.3 trillion rupiah (around $80.1 million) in total disbursed loans between 2021 and 2024, an estimated 800 billion rupiah ($49.3 million) were funneled through fictitious transactions, while only about 500 billion rupiah ($30.8 million) were linked to legitimate farming activity.  The alleged wrongdoings are believed to have originated during the COVID-19 pandemic, when CROWDE, under pressure for growth from investors, began executing what insiders called "suspicious projects" that deviated from its standard lending model. What started as a single pilot project escalated into over 10,000 such initiatives.    Under-disbursement to farmers and use of fake suppliers Farmers who applied for loans, some for as much as 45 million rupiah ($2,774), reportedly received only a fraction of their approved amounts, typically 5-10 million rupiah ($308-616) in actual cash.  The remaining funds were allegedly diverted through fake agricultural suppliers. These were limited partnerships (CVs) that posed as legitimate vendors but were allegedly controlled by CROWDE insiders. These fake entities then issued invoices for non-existent seeds, fertilizers, and farming equipment that never actually reached the farmers. Large-scale cash withdrawals and lack of documentation Bank statements from one of these fake CVs, seen by DealStreetAsia, showed CROWDE making daily transfers of around 40 million rupiah to the CV account. A few days later, over 1 trillion rupiah ($61.5 million) in cash was reportedly withdrawn via cheque from this CV account. This vast sum was then routed to another bank account as instructed by management.  Crucially, no documentation recorded this massive cash outflow, necessitating a forensic audit by the whistleblower to retrace the money flow. At least 30 such fake supplier CVs were identified among hundreds of legitimate ones.  Manipulation of borrower data and project recycling The fraud also involved manipulated borrower data. In some cases, farmers who had previously taken out loans from CROWDE were allegedly recorded as new loan recipients, effectively recycling past borrowers for new, potentially fraudulent, loans.  Funds intended for legitimate agricultural inputs were also funnelled through fictitious partner stores, raising concerns that the money was diverted for other purposes.    Exploitation of system vulnerabilities and farmer trust CROWDE reportedly maintained full control over the disbursement process, managing both borrower and lender escrow accounts. This centralized control facilitated the alleged misconduct.  The absence of direct communication between institutional lenders and the end borrowers. This lack of direct oversight meant lenders couldn't verify if farmers received their full loan amounts or the promised agricultural inputs. The limited financial literacy of many farmers also made the manipulation possible, as they might not have fully understood the terms or the discrepancies in their loan disbursements.  Internal knowledge and silencing More than 50% of CROWDE’s head office employees were reportedly aware of these fraudulent practices. However, no formal complaints surfaced for years due to a pervasive fear of retaliation, a lack of internal oversight, and a culture of silencing reinforced by the company’s leadership. The internal disbursement structure, the fake vendor network, and the manipulated borrower data were all reportedly overseen by top executives.    Outlook for CROWDE  Legal and regulatory fallout The most significant immediate threat is the police report filed on February 11, 2025, by J Trust Bank against CROWDE's management team, accusing them of fraud, embezzlement, and money laundering. This legal action, initiated by an institutional lender, underscores the severity of the alleged misconduct and will likely lead to criminal proceedings against key executives, including ex-CEO Yohanes Sugihtononugroho, commissioners Adryan Hafizh and Ahmat Sahri, and president director Andrew Yeremia PL Tobing.  Furthermore, the Financial Services Authority (OJK) has halted CROWDE's business license since the allegations surfaced earlier in 2025 2 . OJK's public statement on May 19, 2025, indicates ongoing monitoring and coordination with law enforcement agencies to support legal proceedings. This regulatory intervention effectively prevents CROWDE from conducting its core business operations.  Operational collapse CROWDE's operations appear to have largely ceased. Magdalena Joyce Andries, who had recently replaced Yohanes Sugihtononugroho as CEO, has resigned. The company is reported to have laid off all its staff earlier in 2025, with many allegedly not receiving their full layoff packages. Emails sent to the company's official ID are bouncing, suggesting it has become inactive. This points to a complete shutdown of day-to-day operations.  Deceptive financial image Despite the internal collapse and legal issues, CROWDE's website, as of March 5, 2025, continued to project a misleading image of financial health with a TKB90 score of 97%.  However, this figure was artificially inflated using fake borrower data and recycled projects to mask the platform’s actual performance. Insiders also claim the FY2023 financial figures obscure the true scale of misappropriated funds and hidden liabilities. This suggests any public-facing data is unreliable and aims to obscure the grim reality.  Potential salvage efforts Despite the severe challenges, there is a glimmer of a potential future for the company, albeit in a restructured form. Some investors are reportedly exploring options to salvage CROWDE.  Monk’s Hill Ventures, a key investor, is believed to be considering acquiring a majority stake from Mandiri Capital Indonesia and other shareholders. The proposed plan involves a restructuring of operations, significant improvements in financial oversight, and potentially maintaining Bank Mandiri as a lending partner. Yohanes Sugihtononugroho has confirmed that a recovery plan is being discussed, with Mandiri Capital leading the process. However, details remain undisclosed due to non-disclosure agreements.    Broader Industry Context  Investor Sentiment and Fundraising Outlook  The fallout is likely to deepen caution among both local and foreign investors, particularly in sectors where business models rely on financial intermediation, such as lending, invoice financing, and embedded credit. Although SEA remains a long-term growth story, the short- to medium-term fundraising climate is tightening.  Venture capital (VC) fundraising in Southeast Asia took a significant hit in 2024, plunging 68 per cent against 2023 and marking a four-year low, according to a recent report from DealStreetAsia Data Vantage . The fourth quarter marked the weakest funding environment in over six years. CROWDE’s collapse could reinforce these trends, prompting funds to delay deployments or tighten deal screening criteria, especially in Indonesia, where multiple P2P platforms are under distress or have entered liquidation.  Governance Scrutiny and Institutional Recalibration  One immediate effect is increased scrutiny on governance practices. The allegations against CROWDE, ranging from the use of fake vendors and recycled borrower data to inflated repayment scores, highlight systemic gaps in internal controls and independent auditing.  Institutional LPs may respond by favoring VC firms with more active portfolio monitoring, board representation, and structured post-investment governance frameworks. Funds that historically prioritized speed and founder-market fit may face pressure to institutionalize oversight processes and conduct more rigorous operational diligence.  Regulatory Implications  In Indonesia, where the Financial Services Authority (OJK) has already suspended CROWDE’s license, the case is likely to serve as a catalyst for stronger enforcement and licensing standards in the fintech lending space. Policymakers are expected to pursue stricter disclosure requirements, deeper background checks on key executives, and tighter controls around escrow fund management.  While these measures may increase compliance costs, they could ultimately restore lender confidence and support the long-term health of the sector. In the near term, however, regulatory tightening could reduce the number of active platforms and raise barriers to entry for new fintech startups.  Reputational Spillover for Impact and Agri-Focused Startups  CROWDE’s early positioning as an impact-driven solution for smallholder farmers complicates the picture further. The reputational damage may extend beyond the P2P sector to affect adjacent verticals such as agri-fintech and rural financial inclusion startups.  To counter this, companies in these segments will likely need to emphasize third-party auditing, measurable impact reporting, and governance transparency—not only to secure capital, but to preserve the credibility of mission-driven innovation in the region.   Conclusion  CROWDE’s downfall is a pivotal moment for Southeast Asia’s fintech sector. Beyond the legal proceedings and investor losses, the case underscores a deeper structural challenge: building scalable financial platforms that are not only innovative, but also trustworthy and well-governed. As fundraising conditions remain fragile, the startups and funds that emerge stronger will be those that treat governance as a core competency, not a regulatory checkbox.  References: CROWDE. Official Website . Accessed July 15, 2025. https://crowde.co/ Ng, J. (2024, June 24). Indonesia’s agri-focused P2P lender Crowde faces allegations of financial misconduct . DealStreetAsia. https://www.dealstreetasia.com/stories/crowde-allegations-financial-misconduct-448950 Tech in Asia. (2024, June 25). OJK reviews J Trust Bank’s report against fintech startup Crowde . https://www.techinasia.com/news/ojk-reviews-trust-banks-report-fintech-startup-crowde