Nexus Allocates $700M Fund for India Startups, Holding Back on Full Commitment to AI

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  <h2>Nexus Venture Partners Sets a Balanced Course with New $700 Million Fund</h2>

  <p id="speakable-summary" class="wp-block-paragraph">While many venture capital firms are fixated on AI investments, <a target="_blank" href="https://nexusvp.com/" rel="noreferrer noopener nofollow">Nexus Venture Partners</a> is strategically diversifying its portfolio with a new $700 million fund.</p>

  <h3>Diverse Investment Strategy: AI and Beyond</h3>
  <p class="wp-block-paragraph">The firm plans to not only support AI startups but also focus on India-centric ventures in consumer, fintech, and digital infrastructure sectors.</p>

  <h3>The AI Investment Landscape</h3>
  <p class="wp-block-paragraph">AI has <a target="_blank" href="https://www.bloomberg.com/news/articles/2025-10-03/ai-is-dominating-2025-vc-investing-pulling-in-192-7-billion" rel="noreferrer noopener nofollow">captured a significant portion of global venture capital</a>, and Nexus recognizes it as a pivotal technological shift. However, the firm warns that concentrating on a single, over-hyped category poses inherent risks. Instead, India’s digital economy offers a counterbalance, characterized by rising AI adoption and diverse opportunities.</p>

  <h3>Roots in Cross-Border Innovation</h3>
  <p class="wp-block-paragraph">Nexus, headquartered in Delaware with offices in Menlo Park, Mumbai, and Bengaluru, has been a unified fund with a cohesive U.S.–India team since its inception in 2006. The firm invests in early-stage software and India-focused startups from the same capital pool.</p>

  <h3>Expanding Portfolio and Successful Exits</h3>
  <p class="wp-block-paragraph">Over the years, Nexus's cross-border software investments have encompassed a wide range—from infrastructure tools to AI startups. Notable U.S. portfolio companies include Postman, Apollo, MinIO, Giga, and Firecrawl, all of which have seen substantial adoption in developer tooling and AI infrastructure.</p>

  <p class="wp-block-paragraph">In India, their portfolio spans various sectors including consumer goods, fintech, logistics, and digital infrastructure, with prominent investments such as Zepto, Delhivery, Rapido, Turtlemint, and Infra.Market.</p>

  <h3>AI: A Key Inflection Point</h3>
  <p class="wp-block-paragraph">“AI represents a significant inflection point, and we are anchored to that,” said Jishnu Bhattacharjee, a managing partner at Nexus in the U.S. “However, we are noticing that many AI innovations are designed to enhance services for the masses.”</p>

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  <h3>Commitment to Early-Stage Investments</h3>
  <p class="wp-block-paragraph">Nexus manages $3.2 billion in total capital and has invested in over 130 companies, achieving more than 30 successful exits, including several IPOs, which highlight its long-term, early-stage investment approach.</p>

  <p class="wp-block-paragraph">Managing partner Abhishek Sharma stated to TechCrunch that the firm primarily focuses on inception to seed and Series A rounds, initiating investments with checks ranging from a few hundred thousand to around $1 million.</p>

  <h3>Maintaining Fund Size for Strategic Growth</h3>
  <p class="wp-block-paragraph">With an eight-member investment team, Nexus began with a $100 million fund and has maintained a fund size of $700 million since <a target="_blank" href="https://m.economictimes.com/tech/funding/nexus-venture-partners-closes-its-largest-ever-fund-at-700-million/articleshow/98329133.cms" rel="noreferrer noopener nofollow">launching Fund VII in 2023</a>. The firm typically raises funds every 2.5 to 3 years. Bhattacharjee emphasized that maintaining the current fund size reflects their belief in its suitability for their early-stage investment strategy.</p>

  <p class="wp-block-paragraph">“Our goal is not to raise capital for the sake of it,” he noted.</p>

  <h3>India’s Promising AI Landscape</h3>
  <p class="wp-block-paragraph">Although India's AI development may <a target="_blank" href="https://techcrunch.com/2024/06/30/here-are-indias-biggest-ai-startups-based-on-how-much-money-theyve-raised/" rel="noreferrer noopener">lag behind the U.S.</a> in some areas, Nexus sees potential for the country to leap ahead in various aspects of the AI ecosystem. </p>

  <p class="wp-block-paragraph">Bhattacharjee highlighted India’s vast talent pool, increasing digital infrastructure, and the necessity for localized models to cater to the country's multiple languages and service needs. These factors are driving Indian startups to develop AI applications more rapidly, often utilizing open-source technology and emerging domestic AI infrastructure companies.</p>

  <h3>Showcasing Success: AI Innovations in India</h3>
  <p class="wp-block-paragraph">The partners at Nexus cited companies like Zepto and Neysa to exemplify the evolution of AI in India. Zepto, a quick-commerce platform, leverages AI extensively across its operations—from customer service to routing and fulfillment—highlighting how consumer businesses are becoming increasingly AI-integrated. Additionally, infrastructure firms like Neysa are emerging to address unique Indian requirements, such as sovereign AI workloads and localized data processing.</p>

  <p class="wp-block-paragraph">While Nexus didn't disclose specific fund metrics, partners affirmed that their funds have generated significant returns over the years, allowing them to sustain the current fund through returning limited partners. Their investor base spans the U.S., Europe, the Middle East, Southeast Asia, and Japan.</p>
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Here are five frequently asked questions (FAQs) regarding Nexus’s decision to hold half of its new $700 million fund for India startups while not fully committing to AI:

FAQs

1. Why is Nexus not committing fully to AI with its new fund?

Nexus believes in a balanced approach to investment. While AI presents significant opportunities, the firm recognizes the need for diverse innovations across various sectors, particularly in the dynamic Indian startup ecosystem.

2. How much of the $700 million fund is allocated for India startups?

Nexus has allocated half of its new $700 million fund, which means approximately $350 million will specifically target startups in India. This reflects the firm’s confidence in the potential of Indian entrepreneurship.

3. What types of startups is Nexus looking to fund in India?

Nexus aims to invest in a range of sectors, including fintech, health tech, e-commerce, and more, while still considering AI-driven solutions. The focus is on startups that demonstrate strong growth potential and innovative business models.

4. What are the potential benefits of focusing on India startups for Nexus?

Investing in Indian startups allows Nexus to tap into a rapidly growing market with a vibrant tech ecosystem. India’s diverse demographic and increasing digital adoption create significant opportunities for innovation and scalability.

5. How does Nexus’s strategy compare to other investment firms focusing on AI?

While many firms are prioritizing AI, Nexus’s strategy of maintaining a balanced portfolio reflects its understanding of market dynamics. This approach allows them to mitigate risk and capitalize on various emerging trends beyond AI, ensuring a more sustainable investment strategy.

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Key Highlights from AWS re:Invent 2025: Major Tech Announcements

AWS re:Invent 2025 Concludes First Day with Exciting AI Developments

Amazon Web Services’ annual tech conference AWS re:Invent has wrapped up its first day, unveiling a myriad of innovative product announcements.

This year’s central theme revolves around enterprise AI, emphasizing upgrades that empower customers to tailor AI agents to their needs. Notably, AWS has introduced a groundbreaking AI agent that claims to learn from user interactions and operate independently for extended periods.

AWS re:Invent 2025, taking place until December 5, commenced with a keynote from AWS CEO Matt Garman. He emphasized the potential of AI agents to unlock the “true value” of artificial intelligence.

“AI assistants are transitioning to AI agents capable of performing tasks autonomously,” Garman stated during his keynote on December 2. “This shift is where businesses begin to see substantial returns on AI investments.”

While AI agents dominate the headlines, several other noteworthy announcements were made. Here’s a roundup of significant news from AWS re:Invent 2025. Stay tuned as TechCrunch will provide updates throughout the conference.

Revolutionary AI Training Chip Unveiled

AWS launched a new AI training chip named Trainium3, accompanied by the UltraServer system. This upgraded chip boasts remarkable specifications, promising up to 4x performance enhancements for both AI training and inference while reducing energy consumption by 40%.

Additionally, AWS teased the development of Trainium4, which will be compatible with Nvidia chips.

Enhanced AgentCore Offers New Capabilities

AWS introduced new features within its AgentCore AI agent building platform. Noteworthy among these is the Policy feature, which allows developers to set boundaries for AI agents more efficiently.

The enhancements also include agents that can now log and remember user preferences, alongside providing customers with access to 13 prebuilt evaluation systems to assess agent performance.

Introduction of New Autonomous AI Agents

AWS revealed three new AI agents known as “Frontier agents,” including the “Kiro autonomous agent,” which can write code and learn from team dynamics to operate independently for hours or even days.

Another new agent specializes in security processes like code reviews, while a third automates DevOps tasks to prevent issues during code deployment. Preview versions of these agents are now available.

Launch of Innovative Nova Models and Services

AWS is rolling out four new AI models within its Nova family, featuring three specifically for text generation and one capable of creating both text and images.

The new Nova Forge service allows customers to access pre-trained, mid-trained, or post-trained models, enabling them to refine these models with their proprietary data. AWS emphasizes extreme flexibility and customization in this offering.

Lyft Shares Success with AI Agents

Lyft, one of many AWS customers showcasing outcomes during the event, discussed how it leverages Anthropic’s Claude model via Amazon Bedrock to enhance customer service through an AI agent. Lyft reported an 87% reduction in average resolution time and a 70% increase in driver engagement with the AI assistant this year.

Introduction of AI Factories for Private Data Centers

Amazon has also launched “AI Factories,” allowing large enterprises and government bodies to deploy AWS AI systems within their own data centers.

Developed in partnership with Nvidia, the system incorporates both Nvidia technology and AWS capabilities. Users can equip the system with Nvidia GPUs or opt for Amazon’s latest Trainium3 chip, addressing the growing demand for data sovereignty among companies and governments.

Stay updated with the latest advancements in agentic AI, cloud infrastructure, security, and more from AWS’s premier event in Las Vegas. This coverage is brought to you in partnership with AWS.

Here are five frequently asked questions (FAQs) based on AWS re:Invent 2025:

1. What were the key announcements at AWS re:Invent 2025?

Answer: AWS re:Invent 2025 showcased several major announcements, including the launch of new AI and machine learning services, improvements in serverless computing, and enhanced capabilities for security and data privacy. Notable mentions also included updates to AWS Lambda and the introduction of new cloud management tools.

2. How will the new AI services impact businesses?

Answer: The new AI services introduced by AWS are designed to simplify machine learning implementations for businesses. These services enable organizations to build, train, and deploy models more efficiently, helping businesses leverage AI for better decision-making and improved customer experiences.

3. What are the improvements made to AWS Lambda?

Answer: AWS Lambda received enhancements that allow for more flexible scaling, lower latency deployment options, and improved integration with other AWS services. These changes aim to make serverless applications faster and easier to manage.

4. Were there any announcements regarding data security and compliance?

Answer: Yes, AWS emphasized its commitment to data security by announcing several new security features tailored to compliance with global regulations. These include enhanced encryption options, improved monitoring tools, and new frameworks for ensuring data privacy in cloud environments.

5. How can developers access the new tools and services introduced?

Answer: Developers can access the new tools and services by logging into the AWS Management Console. Additionally, AWS released extensive documentation, tutorials, and training resources to help developers get started with the latest offerings quickly and effectively.

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Paris-Based AI Voice Startup Gradium Secures $70M in Seed Funding

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  <h2>Gradium Launches with $70 Million Seed Round to Revolutionize Audio Language AI</h2>

  <p id="speakable-summary" class="wp-block-paragraph">Gradium, a promising new startup emerging from the French AI research lab Kyutai, has officially launched, backed by a $70 million seed round led by a prestigious lineup of investors.</p>

  <h3>Investment Backing from Industry Leaders</h3>
  <p class="wp-block-paragraph">The funding round was spearheaded by FirstMark Capital and Eurazeo, with notable contributions from telecom billionaire Xavier Niel, DST Global Partners, Eric Schmidt, and several other prominent investors.</p>

  <h3>Innovative Audio Language AI Models</h3>
  <p class="wp-block-paragraph"><a target="_blank" rel="nofollow" href="http://gradium.ai">Gradium</a> specializes in developing advanced audio language AI models that deliver swift, ultra-low latency voice responses. Founded in September 2025 by Neil Zeghidour, a key member of the Kyutai team and former researcher at Google DeepMind, Gradium aims to enhance the speed and accuracy of voice models for developers.</p>

  <h3>Multilingual Support from Day One</h3>
  <p class="wp-block-paragraph">As a European startup, Gradium proudly provides multilingual support right from the start, covering English, French, German, Spanish, and Portuguese, with plans to expand further into additional languages.</p>

  <h3>Competing in a Crowded Market</h3>
  <p class="wp-block-paragraph">The competition is fierce, with major players in the field such as <a target="_blank" href="https://techcrunch.com/2025/03/20/openai-upgrades-its-transcription-and-voice-generating-ai-models/">OpenAI</a>, <a target="_blank" href="https://techcrunch.com/2025/05/27/anthropic-launches-a-voice-mode-for-claude/">Anthropic</a>, <a target="_blank" rel="nofollow" href="https://ai.meta.com/blog/llama-4-multimodal-intelligence/">Meta Llama</a>, and <a target="_blank" rel="nofollow" href="https://mistral.ai/news/voxtral">Mistral</a> already offering robust voice and speech recognition solutions. Well-funded startups like <a target="_blank" href="https://techcrunch.com/2025/10/29/elevenlabs-ceo-says-ai-audio-models-will-be-commoditized-over-time/">ElevenLabs</a> and numerous models on Hugging Face also saturate the market, making it clear that developers have many choices for AI voice capabilities.</p>

  <h3>The Growing Demand for Realistic AI Voices</h3>
  <p class="wp-block-paragraph">Nevertheless, the demand for Gradium's aim — delivering ultra-realistic voice expression and accuracy — is poised to increase as AI transitions from text-based interactions to more dynamic AI agents, finding applications across entertainment, work, and beyond.</p>
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Here are five FAQs about Gradium, the Paris-based AI voice startup that recently secured $70 million in seed funding:

FAQ 1: What is Gradium?

Answer: Gradium is a Paris-based AI voice startup focused on developing advanced voice technologies to enhance communication and user interactions across various platforms and devices.

FAQ 2: What does the recent $70 million seed funding mean for Gradium?

Answer: The $70 million seed funding will enable Gradium to accelerate its research and development efforts, expand its team, and enhance its product offerings, positioning the company for rapid growth in the AI voice technology market.

FAQ 3: Who are the investors backing Gradium?

Answer: Gradium’s seed funding round included a mix of venture capital firms and angel investors, with interests in AI, technology, and innovative startups that demonstrate strong growth potential.

FAQ 4: What applications does Gradium’s technology support?

Answer: Gradium’s voice technology can be integrated into various applications, including customer service solutions, virtual assistants, gaming, content creation, and more, aiming to improve user experience through natural and interactive voice engagement.

FAQ 5: How does Gradium ensure ethical AI voice technology?

Answer: Gradium is committed to ethical AI development by implementing guidelines for responsible AI usage, ensuring user privacy, and focusing on transparency in how its technologies are used and applied in various contexts.

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James Cameron, Director of ‘Avatar,’ Calls Generative AI ‘Horrifying’

James Cameron on the Divergence Between Performance Capture and Generative AI

James Cameron’s films, particularly the “Avatar” series, are renowned for their groundbreaking visual effects and performance capture technology that brings the Na’vi to life with incredible realism. However, the director has strong reservations about generative AI.

Performance Capture: A Celebration of Artistic Collaboration

In a recent CBS Sunday Morning interview ahead of the release of “Avatar: Fire and Ash,” Cameron distinguished performance capture from generative AI. He highlighted that while the two concepts may seem similar, they are fundamentally different.

The Actor-Director Dynamic

“For years, there was this sense that, ‘Oh, they’re doing something strange with computers, and they’re replacing actors,’” Cameron remarked. “However, a deeper understanding reveals that we’re actually celebrating the relationship between actors and directors.”

Behind the Scenes of Avatar

The CBS segment showcases the “Avatar” cast performing intricate underwater scenes in a massive 250,000-gallon water tank, emphasizing the real-time collaboration involved in creating such cinematic experiences.

The Dangers of Generative AI in Filmmaking

Cameron expressed his concerns regarding generative AI, stating, “On the opposite end of the spectrum, you have generative AI that can create characters, actors, or performances entirely from scratch using a text prompt. No, that’s horrifying … That’s exactly what we’re not doing.”

Here are five FAQs about James Cameron’s views on generative AI, particularly in relation to his work in filmmaking:

FAQ 1: Why does James Cameron find generative AI “horrifying”?

Answer: James Cameron expresses concern over generative AI’s potential to undermine the creative process and originality in filmmaking. He worries that it could lead to homogenized content, diminishing the unique vision and artistry that human creators bring to their work.

FAQ 2: How might generative AI impact the film industry according to Cameron?

Answer: Cameron believes generative AI could disrupt the traditional roles of writers, directors, and other creative professionals, potentially replacing human input with automated processes that prioritize efficiency over creativity. He fears this could lead to a loss of storytelling depth and emotional engagement.

FAQ 3: Has Cameron taken any specific actions regarding AI in filmmaking?

Answer: While specific actions may not be publicly detailed, Cameron has been vocal in discussions and forums about the need for ethical guidelines and regulations surrounding AI in creative industries to ensure that human creativity remains at the forefront.

FAQ 4: What are the broader implications of Cameron’s concerns about AI?

Answer: Cameron’s concerns highlight a broader industry dialogue about the balance between technological innovation and artistic integrity. His views reflect fears that reliance on AI could threaten jobs in the creative sector and result in a dated, formulaic approach to storytelling.

FAQ 5: What does Cameron suggest as a solution to the potential threats posed by AI?

Answer: Cameron advocates for responsible use of technology in filmmaking and encourages a collaborative relationship between human creators and AI, where technology enhances rather than replaces human creativity. He emphasizes the need for regulations to protect artistic professions.

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Black Friday Achieves Record Online Spending of $11.8 Billion, According to Adobe

<div>
    <h2>Black Friday Breaks Records with $11.8 Billion in Online Sales</h2>

    <p id="speakable-summary" class="wp-block-paragraph">American consumers spent a staggering $11.8 billion online on Black Friday, setting a new record according to <a target="_blank" rel="nofollow" href="https://business.adobe.com/resources/holiday-shopping-report.html">Adobe Analytics</a>, which monitors over 1 trillion visits to U.S. retail websites.</p>

    <h3>A New Milestone in E-Commerce Spending</h3>
    <p class="wp-block-paragraph">This figure surpasses last year's $10.8 billion, showcasing significant growth. Between 10 AM and 2 PM, shoppers were reportedly spending $12.5 million every minute. As <a target="_blank" rel="nofollow" href="https://www.forbes.com/sites/joanverdon/2025/11/29/black-friday-data-shows-online-sales-strong-store-results-mixed/">Forbes</a> notes, Adobe stated that these numbers demonstrate Black Friday’s rise as a crucial e-commerce event, as many consumers choose to shop from the comfort of their homes.</p>

    <h3>Cyber Monday Expected to Surpass Black Friday Sales</h3>
    <p class="wp-block-paragraph">Looking ahead, Adobe forecasts that Cyber Monday on December 1 will see even greater online spending, estimating $14.2 billion, according to <a target="_blank" rel="nofollow" href="https://www.reuters.com/business/retail-consumer/us-consumers-spent-118-billion-black-friday-says-adobe-analytics-2025-11-29/">Reuters</a>.</p>

    <h3>Insight into Holiday Shopping Trends</h3>
    <p class="wp-block-paragraph">Data from industry leaders like Adobe and Salesforce provides early insights into holiday shopping trends. Adobe anticipates total holiday spending to reach $253.4 billion this year, up from $241.1 billion in 2024.</p>

    <h3>Salesforce Discusses Global Spending and Price Influences</h3>
    <p class="wp-block-paragraph">Salesforce reported a total of $79 billion in global Black Friday spending, with $18 billion stemming from the U.S., reflecting year-over-year increases of 6% and 3%, respectively. However, this growth may be more indicative of rising prices, as Salesforce notes an average price increase of 7%, contrasted with a 1% decline in order volumes.</p>

    <h3>The Role of AI in Holiday Shopping</h3>
    <p class="wp-block-paragraph">Both Adobe and Salesforce cite the increasing impact of artificial intelligence on holiday shopping. For instance, <a target="_blank" rel="nofollow" href="https://x.com/salesforce/status/1994825232008298633">Salesforce notes</a> that AI and AI-driven agents influenced $22 billion in global sales during the period from Thanksgiving to Black Friday, although the extent of this influence is still being defined.</p>

    <h3>In-Person Shopping Trends Remain Uncertain</h3>
    <p class="wp-block-paragraph">The comparison between online shopping and in-store sales presents mixed data. According to RetailNext, in-store traffic has declined by 3.4% nationwide, while Pass_by reports an overall increase of 1.17% in foot traffic, with department stores experiencing an impressive 7.9% growth.</p>

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FAQs on Black Friday Online Spending Record

  1. What was the total online spending for Black Friday this year?

    • This year, Black Friday online spending reached a record high of $11.8 billion, according to Adobe Analytics.

  2. How does this year’s spending compare to previous years?

    • The $11.8 billion in spending marks an increase compared to previous years, showcasing a trend of growing consumer confidence and a shift towards online shopping.

  3. What items were the most popular during Black Friday?

    • Top-selling categories included electronics, apparel, and home goods, with consumers particularly favoring deals on items like TVs, laptops, and kitchen appliances.

  4. What factors contributed to the increased spending this Black Friday?

    • Contributing factors include early promotional sales prior to Black Friday, an increase in the number of retail websites offering discounts, and a surge in consumer demand for online shopping due to the convenience it offers.
  5. How did Black Friday spending impact retailers?
    • Retailers experienced significant boosts in sales, which not only increased their revenue but also demonstrated the effectiveness of digital marketing strategies and online presence in reaching consumers.

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How OpenAI and Google Envision AI Transforming Go-to-Market Strategies

<div>
    <h2>How AI is Revolutionizing Go-to-Market Strategies for Startups</h2>

    <p id="speakable-summary" class="wp-block-paragraph">For years, startups relied on traditional sales playbooks, but the rise of AI is reshaping how companies approach their market launch.</p>

    <h3>Max Altschuler on Doing More with Less</h3>
    <p class="wp-block-paragraph">“You can do more with less than ever before,” said <a target="_blank" rel="nofollow" href="https://www.linkedin.com/in/maxaltschuler/">Max Altschuler</a>, general partner at GTMfund, during his presentation at <a target="_blank" href="https://techcrunch.com/events/tc-disrupt-2025/">TechCrunch Disrupt</a> last month.</p>

    <h3>Navigating New Challenges in GTM Approaches</h3>
    <p class="wp-block-paragraph">However, founders must be careful. While some startups are hiring developers to tackle common GTM issues, Altschuler emphasized the continued importance of having specific domain expertise.</p>

    <h3>The Value of Knowledgeable Advisors</h3>
    <p class="wp-block-paragraph">“Having great advisors allows you to leverage tried-and-true playbooks. These principles still apply. A solid understanding of marketing fundamentals is essential,” Altschuler noted.</p>

    <h3>Alison Wagonfeld on the Enduring Craft of Marketing</h3>
    <p class="wp-block-paragraph"><a target="_blank" rel="nofollow" href="https://www.linkedin.com/in/alisonwagonfeld/">Alison Wagonfeld</a>, VP of Marketing at Google Cloud, affirmed that marketing skills remain crucial.</p>
    <p class="wp-block-paragraph">“AI knowledge and curiosity are important, but understanding customer insights, conducting research, and recognizing effective creativity are vital components of marketing,” Wagonfeld stated.</p>

    <h3>The Speed of AI-Driven Teams</h3>
    <p class="wp-block-paragraph">Teams that integrate AI technologies can operate more swiftly. “You can communicate more messages in less time and consider the metrics you're driving,” she added.</p>

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    <h3>Marc Manara on AI and Strategic Focus</h3>
    <p class="wp-block-paragraph"><a target="_blank" rel="nofollow" href="https://www.linkedin.com/in/marcmanara/">Marc Manara</a>, head of startups at OpenAI, noted that startups are increasingly incorporating AI into their GTM strategies, but not solely to reduce resources.</p>
    <p class="wp-block-paragraph">“The focus is now on how to execute effectively. AI allows for highly personalized engagements and advanced data analysis,” he said. “The sophistication of lead generation tools has evolved significantly.”</p>

    <h3>Enhancing Inbound Marketing Precision</h3>
    <p class="wp-block-paragraph">According to Manara, inbound marketing has also transformed, utilizing AI-driven insights for more accurate qualification and scoring of leads compared to the past.</p>

    <h3>Rethinking Team Composition for GTM Success</h3>
    <p class="wp-block-paragraph">As startups craft their go-to-market strategies, Wagonfeld emphasized the need for teams that exhibit curiosity and understanding rather than simply hiring specialists with niche expertise.</p>
    <p class="wp-block-paragraph">“Today, hiring for a sense of curiosity and adaptability is paramount,” she concluded. “These qualities are now key for building effective GTM teams.”</p>
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Here are five FAQs regarding how OpenAI and Google perceive AI’s impact on go-to-market strategies:

FAQ 1: How is AI influencing product development in go-to-market strategies?

Answer: AI enables companies to gather and analyze vast amounts of data, leading to more informed product development. By identifying consumer preferences and market trends through predictive analytics, businesses can tailor products to better meet customer needs, resulting in a more effective go-to-market strategy.

FAQ 2: What role does AI play in customer segmentation?

Answer: AI helps businesses segment their customer base with precision by analyzing behavioral data, demographics, and purchasing patterns. This allows companies to create targeted marketing campaigns, improving engagement and conversion rates while optimizing resources.

FAQ 3: How do OpenAI and Google view AI’s impact on sales forecasting?

Answer: Both OpenAI and Google highlight that AI enhances sales forecasting accuracy through machine learning algorithms that analyze historical sales data and market conditions. This predictive capability allows companies to make better inventory and resource management decisions, ultimately driving sales growth.

FAQ 4: In what ways can AI streamline customer interactions in go-to-market strategies?

Answer: AI can improve customer interactions through chatbots and virtual assistants, providing real-time support and personalized experiences. This capability not only enhances customer satisfaction but also frees up human resources to focus on more complex inquiries, leading to a more efficient go-to-market approach.

FAQ 5: What challenges do companies face when integrating AI into their go-to-market strategies?

Answer: Companies may encounter challenges like data privacy concerns, integration of AI systems with existing workflows, and the need for upskilling employees. It’s crucial for organizations to address these issues to fully leverage AI’s potential in their go-to-market strategies.

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This Thanksgiving’s Main Event: Michael Burry Takes on Nvidia

Michael Burry’s Bold Challenge to Nvidia: A High-Stakes Gamble on AI’s Future

While you’ve been busy preparing for Thanksgiving, renowned investor Michael Burry, famously portrayed by Christian Bale in “The Big Short,” has entered an intense conflict with Nvidia.

Burry’s Unconventional Fight Against AI Dominance

This clash is one to watch closely, as Burry seems poised to make waves. What sets this apart from typical warnings about an AI bubble is Burry’s growing following and his ability to stir significant doubts about Nvidia’s dominance in the market.

Can Burry Spark Doubt and Disruption?

Investors are curious whether Burry can instill enough skepticism to genuinely undermine Nvidia and its key associates, such as OpenAI.

Escalating Tensions: Burry vs. Nvidia

In recent weeks, Burry has intensified his attack on Nvidia, publicly clashing with Palantir CEO Alex Karp. After revealing his substantial short positions against both companies, Burry has wagered over $1 billion that their stocks will plummet. This exchange illustrates a pivotal debate: is AI a genuine game-changer or merely a bubble waiting to burst?

Specific Allegations: Nvidia Under Fire

Burry has made precise and serious claims, suggesting Nvidia’s stock-based compensation has cost shareholders an astounding $112.5 billion, effectively halving owner earnings. He accuses AI companies of manipulating financials by understating depreciation on fast-declining equipment, hinting that demand from AI customers is merely a facade propped up by deceptive financing practices.

Nvidia stock performance

Nvidia’s Response: Defending Its Position

As Burry’s influence grows, Nvidia felt the need to respond to his allegations in a detailed seven-page memo to Wall Street analysts, claiming Burry’s calculations are flawed and defending its compensation practices as standard within the industry.

Burry’s Retort: Comparisons to Past Market Crashes

In response, Burry clarified that he doesn’t liken Nvidia to Enron, but to Cisco at the height of its overextension in the late 1990s, cautioning that Nvidia’s stock could similarly plummet when reality sets in.

The Stakes: A Potential Market Shift?

All eyes are on Nvidia, which has seen its stock multiply twelvefold since early 2023, currently boasting a market cap of $4.5 trillion. Burry’s past predictions have been a mixed bag, earning him the label of “permabear” among critics, with some followers missing substantial market gains due to his consistently bearish outlook.

Burry’s New Platform: Unleashing His Views

Recently, Burry deregistered his investment firm, Scion Asset Management, which he claims hindered his ability to communicate freely. He has now launched a Substack newsletter titled “Cassandra Unchained,” offering insights into his analysis on stocks and potential market bubbles.

Cassandra Unchained newsletter

The Growing Influence of Burry’s Voice

Just days after its launch, Burry’s newsletter has already attracted 90,000 subscribers. This begs the crucial question: Is Burry a harbinger of an impending market collapse, or will his amplified voice trigger the very downfall he warns against?

Historical Precedents: The Power of Persuasion

History suggests that a vocal critic can precipitate market crises. Influential investors like Jim Chanos and David Einhorn have previously ignited skepticism that accelerated declines in companies like Enron and Lehman Brothers. Burry, with his substantial following, may wield similar influence.

The Big Question: Burry vs. Nvidia

Should enough investors heed Burry’s warnings about potential overbuilding in AI, a selling spree could ensue, validating his bearish stance. The landscape remains uncertain; Nvidia may be at risk, while Burry has little to lose but his own reputation as he rallies his base.

Here are five FAQs based on the drama involving Michael Burry and Nvidia this Thanksgiving:

FAQ 1: Who is Michael Burry?

Answer: Michael Burry is a notable investor and hedge fund manager best known for predicting the 2008 financial crisis. He gained fame through the book and film “The Big Short,” where his early and accurate predictions about the housing market collapse were highlighted.

FAQ 2: What role does Nvidia play in the current market?

Answer: Nvidia is a leading technology company primarily known for its graphics processing units (GPUs) and contributions to artificial intelligence and gaming sectors. Recently, Nvidia’s stock has seen significant growth due to rising demand for AI technologies, making it a focal point in market discussions.

FAQ 3: Why is there drama between Michael Burry and Nvidia?

Answer: The drama stems from Burry’s perspective on Nvidia’s stock valuation and potential market risks. Burry has publicly raised concerns that Nvidia’s stock may be overvalued, while the market sentiment continues to favor the company due to its advancements in AI, leading to contrasting views among investors.

FAQ 4: How does Burry’s opinion on Nvidia impact investors?

Answer: Burry’s insights can influence other investors’ perceptions and decisions regarding Nvidia’s stock. His warnings about overvaluation could lead to increased volatility or sell-offs, while continued optimism about AI may drive prices higher, putting investors at a crossroads regarding their strategies.

FAQ 5: What should investors consider regarding Intel and Nvidia this Thanksgiving?

Answer: Investors should carefully evaluate both Burry’s caution and the broader market enthusiasm for tech stocks like Nvidia. It’s essential to consider fundamentals, market trends, and other expert analyses before making decisions, reflecting on how these narratives might influence investor sentiment during the holiday season.

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Onton Secures $7.5M to Broaden AI-Driven Shopping Platform Beyond Furniture

<h2>Revolutionizing Shopping: How AI is Transforming Product Discovery</h2>

<h3>Tech Giants Lead the Charge in AI-Powered Shopping Solutions</h3>
<p>Major tech companies are not only harnessing AI for content generation and summarization but also for enhancing your shopping experience. OpenAI, Google, and Amazon are making significant investments in AI assistants designed to research new product categories and recommend the best options for consumers.</p>

<h3>Innovative Startups Enter the AI Shopping Space</h3>
<p>Startups like Perplexity, Daydream, and Cherry are innovating by creating AI solutions specifically for product discovery. This wave of advancements is leading to an uptick in AI-driven shopping experiences. Onton, formerly known as Deft, has witnessed a remarkable rise—from 50,000 monthly active users to over 2 million, facilitating millions of searches and image generations.</p>

<h3>Onton Secures $7.5 Million to Accelerate Growth</h3>
<p>Thanks to this impressive growth, Onton has announced a new funding round of $7.5 million, led by Footwork and joined by investors like Liquid 2 and Parable Ventures. This latest round elevates the startup’s total funding to approximately $10 million.</p>

<h3>Expanding Horizons: From Furniture to Apparel and Electronics</h3>
<p>Using the new funds, Onton plans to branch out into new categories, including apparel and eventually consumer electronics. Having rebranded from Deft to Onton earlier this year, the change was necessary to eliminate confusion and ease the acquisition of a premium domain.</p>

<h3>Enhancing E-commerce with Neuro-Symbolic Architecture</h3>
<p>Zach Hudson, co-founder of Onton, points out that while large language models (LLMs) excel in predicting user intent, they still fall short in the e-commerce space. He notes an increase in the time consumers take to make purchasing decisions, highlighting the need for better tools.</p>

<h3>AI That Understands Real-World Context</h3>
<p>Onton leverages a neuro-symbolic architecture that addresses common LLM shortcomings, offering more logical and accurate search results. This innovative model can gather real-world insights that might not always be present in product descriptions. For example, if a user searches for pet-friendly furniture, the AI understands that polyester items tend to be more resistant to stains and scratches, making them better suited for pet owners.</p>

<h3>Advanced Features for Smarter Decision-Making</h3>
<p>To assist both short and long-term decision-making, Onton has introduced various input methods. Users can upload images or provide prompts that convey their design visions, enabling the AI to find suitable furniture options. Additionally, the platform features an infinite canvas for ideation, allowing users to combine images of existing spaces with potential new furniture.</p>

<h3>Transforming Conversion Rates with Trustworthy Data</h3>
<p>Onton’s multifaceted approach has resulted in conversion rates 3-5 times higher than traditional e-commerce sites, as consumers find the data more reliable. Hudson has indicated that these technological improvements will also facilitate the upcoming launch of its clothing line, positioning Onton to compete with names like Daydream and Aesthetic in this space.</p>

<h3>Growing Team to Support Expansion</h3>
<p>Having expanded from three full-time employees in 2023 to ten today, Onton plans to hire five more, focusing on engineering and research roles to accelerate development.</p>

This rewritten article uses engaging headlines and optimized content for better SEO visibility, ensuring clarity and relevance throughout.

Sure! Here are five FAQs based on Onton’s recent fundraising announcement:

FAQ 1: What is Onton, and what does it offer?

Answer: Onton is an AI-powered shopping platform that specializes in personalized shopping experiences. Initially focused on furniture, the platform leverages artificial intelligence to help users find and purchase items that fit their style and preferences.

FAQ 2: How much funding did Onton raise, and what are the goals of this funding?

Answer: Onton raised $7.5 million in funding. The primary goal of this investment is to expand its offerings beyond furniture, allowing the platform to encompass a wider range of products and enhance user experience.

FAQ 3: What new categories of products can customers expect Onton to offer in the future?

Answer: While specific categories have not been disclosed, Onton aims to branch out into various lifestyle products, including home decor, appliances, and possibly fashion, to provide a more comprehensive shopping experience.

FAQ 4: How does Onton’s AI technology improve the shopping experience?

Answer: Onton’s AI technology analyzes user preferences and behaviors to recommend products tailored to individual tastes. This personalized approach helps customers discover items more suited to their needs, making shopping more efficient and enjoyable.

FAQ 5: When can we expect to see these new product offerings on Onton’s site?

Answer: While no specific timeline has been announced, Onton is actively working on integrating new product categories. Customers can look forward to updates as the platform evolves and expands its offerings in the coming months.

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Google Partners with Accel to Discover India’s Next AI Innovations

Google and Accel Unite to Propel India’s AI Startup Landscape

In a groundbreaking collaboration, Google partners with Accel to discover and finance India’s early-stage AI startups through the Google AI Futures Fund, initiated earlier this year.

Strategic Investment Initiative Unveiled

On Tuesday, Google and Accel announced a partnership that aims to invest up to $2 million in select startups via Accel’s Atoms program, with each party contributing $1 million. The 2026 cohort will specifically target founders in India and the Indian diaspora focused on building AI solutions from day one.

A Vision for AI Development in India

“Our goal is to create AI products that benefit billions of Indians, as well as to empower AI innovations developed in India for the global market,” said Prayank Swaroop, a partner at Accel.

India: A Promising Yet Untapped Market

Boasting the world’s second-largest internet and smartphone user base, India presents immense potential. However, it has yet to produce many companies that challenge the technical limits of AI, with development largely centered in the U.S. and China.

Shifting Dynamics in AI Investment

Recent corporate expansions by giants like OpenAI and Anthropic, along with increasing commitments from global investors, signify a shift. With an expansive mobile-first population and growing cloud infrastructure, India may become a significant player in the AI market if its ecosystem integrates talent and demand into innovative research and products.

Investment Areas and Future Outlook

Swaroop emphasized that investment opportunities could span various domains including creativity, entertainment, coding, and work applications. The firms aim to pinpoint fields where large language models are set to advance over the next 12-24 months, seeking Indian startups innovating in those areas.

Comprehensive Support for Founders

Founders participating in the program will gain access to up to $350,000 in compute credits on Google Cloud, along with early access to cutting-edge models and experimental features from Gemini and DeepMind. Additional support includes collaboration opportunities with Google Labs’ and DeepMind’s research teams, monthly mentorship from Accel partners, and marketing assistance through both companies’ global channels.

The Future of AI Innovation in India

“India has an extraordinary track record of innovation, and we believe its founders will lead the next wave of AI-driven global technology,” stated Jonathan Silber, co-founder and director of the Google AI Futures Fund. “This partnership marks the Fund’s first collaboration of its kind globally, emphasizing our commitment to India’s digital transformation journey.”

Building on Previous Investments

This partnership follows Google’s ambitious $15 billion plan announced to develop a 1-gigawatt data center and AI hub in India, coupled with a $10 billion digitization fund launched in 2020.

A Commitment to Founder Independence

Silber clarified that while Google will have a presence on the cap tables of funded startups, the partnership is not geared towards sales or future acquisitions, but rather focuses on fostering innovation in the AI sector emerging from India.

No Exclusive Ties to Google Products

Swaroop and Silber confirmed there are no restrictions requiring startups to exclusively utilize Google products. “We recognize that other technologies may also be the best fit. Our objective is to establish unique integrations leveraging Google AI technology,” Silber added.

Accelerating Early-Stage Innovation

Accel’s Atoms platform, which launched in 2021, has already supported over 40 companies that raised more than $300 million in follow-on funding. The program has recently expanded to include Indian-origin founders abroad.

Collaboration with Prosus

This new initiative comes on the heels of Accel’s recent partnership with Prosus to co-invest in early-stage Indian startups that aim to create large-scale solutions for the masses.

Focused on Innovation, Not Sales

Silber made it clear that the partnership is not about acquiring new cloud customers but is aimed at facilitating the next wave of AI innovation emerging from India.

Sure! Here are five FAQs based on the collaboration between Google and Accel to identify emerging AI startups in India:

FAQ 1: What is the purpose of the partnership between Google and Accel?

Answer: The partnership aims to identify and support promising AI startups in India. By leveraging Google’s expertise in AI and Accel’s investment acumen, the collaboration seeks to nurture innovative technologies and solutions emerging from the region.

FAQ 2: How will the selected AI startups benefit from this initiative?

Answer: Startups chosen through this initiative will receive mentorship from Google’s technical teams, access to Google Cloud resources, and potential funding from Accel. This support is designed to help them scale their solutions and accelerate their growth paths.

FAQ 3: What criteria will be used to evaluate potential AI startups?

Answer: The evaluation will focus on factors such as innovation in AI technology, market potential, the founding team’s experience, and the uniqueness of the startup’s product or service. Startups that address significant market needs or challenges will be prioritized.

FAQ 4: How can startups apply for this opportunity?

Answer: Startups interested in this initiative can typically apply through a dedicated website or portal set up by Google and Accel. Specific instructions and requirements will be provided to ensure a smooth application process.

FAQ 5: Why is India an attractive market for AI startups?

Answer: India is viewed as a prime hub for AI innovation due to its large pool of tech talent, diverse user base, and rapidly growing digital economy. The country’s unique challenges and opportunities present a fertile ground for innovative AI solutions tailored to local needs and beyond.

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Insurance Experts Warn: AI Poses Too Much Risk to Insure

The Rising Risks of AI: Insurers Reassess Coverage Amidst Growing Concerns

What happens when the software that everyone’s racing to adopt becomes too risky for anyone to insure? According to
reporting from the Financial Times, we’re about to find out.

Insurers Seek Exemptions for AI-Related Liabilities

Major insurers like AIG, Great American, and WR Berkley are requesting U.S. regulators to allow them to exclude liabilities related to AI from their corporate policies. As one underwriter remarked to the FT, the outputs from AI models are perceived as “too much of a black box.”

Recent High-Profile AI Mishaps Raise Alarm

The industry has substantial reasons to be concerned. For instance, Google’s AI Overview erroneously implicated a solar company in legal issues, leading to a
$110 million lawsuit in March. Additionally, Air Canada found itself obligated to honor a discount offered by a
chatbot that it did not authorize last year. In another incident, a digitally cloned executive was used by fraudsters to deceitfully extract
$25 million from Arup during a seemingly legitimate video call.

The Fear of Systemic Risk in the Insurance Sector

Insurers are not merely worried about one massive payout; they are particularly fearful of systemic risks. The prospect of countless simultaneous claims due to a malfunctioning, widely-used AI model is daunting. As one executive from Aon stated, insurers can manage a $400 million loss from a single company, but they struggle with the potential fallout from an AI incident that causes 10,000 losses all at once.

Sure! Here are five FAQs with answers addressing the concerns that "AI is too risky to insure," from the perspective of insurance professionals.

FAQ 1: Why do some insurers believe AI poses too much risk?

Answer: Insurers are cautious about AI due to its complexity, potential for unpredictable behavior, and the rapid pace of technological advancement. Many traditional underwriting models aren’t equipped to assess the unique risks associated with AI systems, leading to uncertainties in coverage and liability.

FAQ 2: What specific risks associated with AI are challenging to insure?

Answer: Key risks include operational failures, unintended biases in decision-making, data privacy issues, and security vulnerabilities. The potential for significant financial loss in the event of a major failure can be difficult to quantify, making it challenging for insurers to offer comprehensive policies.

FAQ 3: How can companies mitigate risks to make their AI systems more insurable?

Answer: Companies can improve insurability by implementing robust risk management practices, such as regular audits, transparency in AI decision-making processes, comprehensive data protection measures, and ongoing monitoring of AI systems to identify and mitigate potential risks proactively.

FAQ 4: Are there any existing insurance products for AI-related risks?

Answer: While the market is still developing, some insurers are beginning to offer specialized products, such as cyber liability insurance and technology errors and omissions coverage. However, these offerings may have limitations, and many companies find it challenging to find coverage that fully addresses their unique AI-related risks.

FAQ 5: What can AI developers and users expect in terms of insurance in the future?

Answer: As understanding of AI risks evolves, the insurance industry is likely to develop more tailored products and risk assessment frameworks. Companies should stay informed about developments in this area and be prepared for more comprehensive options as best practices in AI management become standardized in the industry.

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