- The AI Agenda is a new newsletter from The Information that focuses on the fast-paced world of artificial intelligence.
- The newsletter aims to provide daily insights on how AI is transforming various industries and the challenges it poses for regulators and content publishers.
- It will feature analysis from top researchers, founders, and executives, as well as provide scoops on deals and funding of key AI startups.
- The newsletter will cover advancements in AI technology such as ChatGPT and AI-generated video, and explore their impact on society.
- The goal is to provide readers with a clear understanding of the latest developments in AI and what to expect in the future.
- Foundry Technologies is in talks to raise money at a valuation of $350 million, a significant increase from its previous valuation of $50 million.
- The increase in valuation highlights the trend of hot companies in the AI sector raising money at rapidly escalating valuations.
- Foundry is one of many AI startups that have experienced a meteoric rise in valuation this year.
- The company plans to rent servers to companies for running AI software.
- The risky pandemic-era fundraising trend of rapidly increasing valuations in short periods of time has returned.
- The venture capital landscape for AI startups has become more focused and selective.
- Investors are starting to gain confidence and make choices in picking platforms for their future investments.
- There is a debate between buying or building AI solutions, with some seeing value in large companies building their own AI properties.
- With the proliferation of AI startups, venture capitalists are finding it harder to choose which ones to invest in.
- Startups that can deliver real, measurable impact and have a working product are more likely to attract investors.
AI chip scarcity is creating a bottleneck in the market, exacerbating the disparity between tech giants and startups, leaving smaller companies without access to necessary computing power, potentially solidifying the dominance of large corporations in the technology market.
Artificial intelligence (AI) is revolutionizing the accounting industry by automating tasks, providing insights, and freeing up professionals for more meaningful work, but there is a need to strike a balance between human and machine-driven intelligence to maximize its value and ensure the future of finance.
Film and television studios, including Disney, Netflix, Sony, and NBCUniversal, are actively hiring artificial intelligence (AI) experts for positions paying over $200,000 per year, despite ongoing strikes by writers and actors over concerns about the use of AI in the industry.
The use of artificial intelligence (AI) by American public companies is on the rise, with over 1,000 companies mentioning the technology in their quarterly reports this summer; however, while there is a lot of hype surrounding AI, there are also signs that the boom may be slowing, with the number of people using generative AI tools beginning to fall, and venture capitalists warning entrepreneurs about the complexities and expenses involved in building a profitable AI start-up.
Artificial intelligence (AI) stocks have cooled off since July, but there are three AI stocks worth buying right now: Alphabet, CrowdStrike, and Taiwan Semiconductor Manufacturing. Alphabet is a dominant player in search, advertising, and cloud computing with strong growth potential, while CrowdStrike offers AI-first security solutions and is transitioning into profitability. Meanwhile, Taiwan Semiconductor Manufacturing is a leading chip manufacturer with long-term potential and strong consumer demand.
Paris-based startup Poolside AI has raised $126 million in a seed round led by French billionaire Xavier Niel and US VC Felicis, to develop an AI model that can write software code and eventually enable users to create applications without coding experience, with the company also opening a French subsidiary and relocating its HQ to Paris in a boost to the country's AI ambitions.
AI startup Modular has raised $100 million in funding, bringing its total funding to $130 million, with the goal of fixing AI infrastructure for developers through its Modular AI runtime engine and Mojo programming language for AI. The company aims to simplify the complex deployment of AI across different hardware, making it easier to develop and deploy machine learning workloads. The Modular AI engine enables AI workloads to be accelerated and portable across hardware, while Mojo provides a single programming language to support existing Python code with required performance and scalability.
AI is reshaping industries and an enterprise-ready stack is crucial for businesses to thrive in the age of real-time, human-like AI.
Artificial intelligence should be used to build businesses rather than being just a buzzword in investor pitches, according to Peyush Bansal, CEO of Lenskart, who cited how the company used AI to predict revenue and make informed decisions about store locations.
This webinar explores how AI is revolutionizing finance, providing a competitive edge through automation, predictive analytics, and enhanced decision-making.
The integration of artificial intelligence (AI) is driving the growth of smart manufacturing, with the use of AI expected to enhance decision-making, optimize operations, and improve automation processes in factories, as well as complementing supply chain optimization and inventory management.
The most promising AI startups in 2023, according to top venture capitalists, include Adept, AlphaSense, Captions, CentML, Character.AI, Durable, Entos, Foundry, GPTZero, Hugging Face, LangChain, Leena AI, LlamaIndex, Luma AI, Lumachain, Magic, Mezli, Mindee, Next Insurance, Orby AI, Pinecone, Poly, Predibase, Replicant, Replicate, Run:ai, SaaS Labs, Secureframe, Treat, Twelve Labs.
C3.ai, a company that sells AI software to enterprises, is highly unprofitable and trades at a steep valuation, with no significant growth or margin expansion, making it a risky investment.
Artificial general intelligence (AGI) and AI ethics are among the important AI terms to know as AI's potential to reshape economies is estimated to be worth $4.4 trillion annually, according to McKinsey Global Institute.
More than 25% of investments in American startups this year have gone to AI-related companies, which is more than double the investment levels from the previous year. Despite a general downturn in startup funding across various industries, AI companies are resilient and continue to attract funding, potentially due to the widespread applicability of AI technologies across different sectors. The trend suggests that being an AI company may become an expected part of a startup's business model.
AI21 Labs, a text-generating AI startup, has raised $155 million in a Series C funding round, bringing its total raised to $283 million and valuing the company at $1.4 billion, with plans to expand its workforce and accelerate its R&D efforts.
The UK government has been urged to introduce new legislation to regulate artificial intelligence (AI) in order to keep up with the European Union (EU) and the United States, as the EU advances with the AI Act and US policymakers publish frameworks for AI regulations. The government's current regulatory approach risks lagging behind the fast pace of AI development, according to a report by the science, innovation, and technology committee. The report highlights 12 governance challenges, including bias in AI systems and the production of deepfake material, that need to be addressed in order to guide the upcoming global AI safety summit at Bletchley Park.
Artificial intelligence (AI) stocks have experienced a recent pullback, creating buying opportunities for companies such as Taiwan Semiconductor and UiPath, which are poised for growth due to their involvement in AI technology and products.
The rise of artificial intelligence (AI) is a hot trend in 2023, with the potential to add trillions to the global economy by 2030, and billionaire investors are buying into AI stocks like Nvidia, Meta Platforms, Okta, and Microsoft.
AI is being discussed by CEOs behind closed doors as a solution to various challenges, including cybersecurity, shopping efficiency, and video conferencing.
AI startups are dominating the latest Y Combinator batch, with a significant increase in the number of AI companies compared to previous cohorts, focusing on AI infrastructure, AI development tools, and AI applications.
Imbue, a woman-led AI research startup, has raised $200 million in a Series B funding round led by the Astera Institute, valuing the company at over $1 billion, but it could be years before it reveals a product. Imbue's focus is on developing AI "agents" that can simulate human decision-making to complete complex tasks, and it has access to 10,000 Nvidia H100 GPUs to build these agents. The startup is still in the early stages and has not yet released a demo of its agents.
The global AI market is projected to reach $2 trillion by 2030, with companies like Amazon and Meta Platforms making significant investments in AI to drive growth and diversify their offerings.
Using AI to streamline operational costs can lead to the creation of AI-powered business units that deliver projects at faster speeds, and by following specific steps and being clear with tasks, businesses can successfully leverage AI as a valuable team member and save time and expenses.
Cathie Wood's Ark Invest predicts that AI software revenue will reach $14 trillion by 2030, and believes that Salesforce and The Trade Desk are attractive investments due to their potential in the AI market and their current valuations.
Eight big tech companies, including Adobe, IBM, Salesforce, and Nvidia, have pledged to conduct more testing and research on the risks of artificial intelligence (AI) in a meeting with White House officials, signaling a "bridge" to future government action on the issue. These voluntary commitments come amidst congressional scrutiny and ongoing efforts by the White House to develop policies for AI.
Artificial intelligence (AI) is poised to be the biggest technological shift of our lifetimes, and companies like Nvidia, Amazon, Alphabet, Microsoft, and Tesla are well-positioned to capitalize on this AI revolution.
The US Securities and Exchange Commission (SEC) is utilizing artificial intelligence (AI) technologies to monitor the financial sector for fraud and manipulation, according to SEC Chair Gary Gensler.
AI stocks have emerged as the driving force behind the stock market rally, with nearly $500 billion added to the US market cap in 2023, led by companies like NVIDIA and Apple, and the growth prospects of AI continue to be driven by rising demand for software and semiconductor chips.
The United States and China lead in AI investment, with the U.S. having invested nearly $250 billion in 4,643 AI startups since 2013, according to a report.
Ernst & Young has invested $1.4 billion in AI technologies and launched a new AI-powered platform, EY.ai, to help organizations adopt AI and unlock economic value responsibly.
Artificial intelligence (AI) is transforming the real estate industry, providing convenience and improved accuracy in home buying and selling through various applications and algorithms; however, industry leaders emphasize the need for vigilance and oversight to avoid potential inaccuracies and misinformation.
A bipartisan group of senators is expected to introduce legislation to create a government agency to regulate AI and require AI models to obtain a license before deployment, a move that some leading technology companies have supported; however, critics argue that licensing regimes and a new AI regulator could hinder innovation and concentrate power among existing players, similar to the undesirable economic consequences seen in Europe.
AI startup Darrow has raised $35 million in funding for its AI-powered data engine that searches for class action litigation potential, with active cases resulting from its insights currently totaling around $10 billion in claims, and plans to use the funding to expand its team, add new legal domains to its tools, and invest in technology assets.
Writer, a generative AI startup, has raised $100 million in a Series B funding round to develop industry-specific text-generating AI models, bringing its total raised to $126 million and valuing the company at between $500 million and $750 million post-money.
Intel is integrating AI inferencing engines into its processors with the goal of shipping 100 million "AI PCs" by 2025, as part of its effort to establish local AI on the PC as a new market and eliminate the need for cloud-based AI applications.
Real estate developer Gary Dillabough is pursuing the creation of an artificial intelligence incubator in downtown San Jose, with potential plans to bring in 40 or 50 AI startups, which could significantly boost the city's economy and establish it as a hub for AI development.
