US venture capital funding soared to $55.6 billion in the second quarter of 2024, marking the highest total in two years, largely driven by significant investments in AI companies such as Elon Musk’s xAI and CoreWeave. The funding kickstart represents a 47% increase from the first quarter, reflecting growing investor enthusiasm for AI technology.
The surge follows a period of declining US VC funding, which had fallen to $35.4 billion in the second quarter of 2023 amid high interest rates and a sluggish exit market. The recent influx of capital into AI startups has reversed this trend, encouraging more investments in AI foundation model companies and applications ranging from code generation to productivity tools.
Despite the rise in funding activity, exits remain challenging, with second-quarter exits valued at $23.6 billion, down from $37.8 billion in the first quarter. The initial public offering market has struggled to gain momentum, even with some VC-backed companies like Rubrik going public.
Emerging venture capital fund managers are also under pressure, raising only $37.4 billion in commitments this year, dominated by large firms such as Andreessen Horowitz. For venture capital returns to improve, large tech companies need to increase their public listings, according to PitchBook analyst Kyle Stanford.
Meta is set to integrate more generative AI technology into its virtual, augmented, and mixed-reality games, aiming to boost its struggling metaverse strategy. According to a recent job listing, the company plans to create new gaming experiences that change with each playthrough and follow unpredictable paths. The initiative will initially focus on Horizon, Meta’s suite of metaverse games and applications, but could extend to other platforms like smartphones and PCs.
These developments are part of Meta’s broader effort to enhance its metaverse offerings and address the financial challenges faced by Reality Labs, the division responsible for its metaverse projects. Despite selling millions of Quest headsets, Meta has struggled to attract users to its Horizon platform and mitigate substantial operating losses. Recently, the company began allowing third-party manufacturers to license Quest software features and increased investment in metaverse gaming, spurred by CEO Mark Zuckerberg’s growing interest in the field.
Meta’s interest in generative AI is not new. In 2022, Zuckerberg demonstrated a prototype called Builder Bot, which allows users to create virtual worlds with simple prompts. Additionally, Meta’s CTO, Andrew Bosworth, has highlighted the potential of generative AI tools to democratise content creation within the metaverse, likening their impact to that of Instagram on personal content creation.
Generative AI is already making waves in game development, with companies like Disney-backed Inworld using the technology to enhance game dialogues and narratives. While some game creators are concerned about the impact on their jobs, Meta is committed to significant investments in generative AI, even though CEO Zuckerberg cautioned that it might take years for these investments to become profitable.
Florida International University’s Moss Department of Construction Management is at the forefront of a revolution in the industry. They’re equipping students with the tools to leverage AI for increased efficiency and safety on construction sites.
Imagine generating blueprints with just a few specifications or having a watchful eye constantly monitoring a site for safety hazards. These are just a few ways AI is transforming construction. Students like Kaelan Dodd are already putting this knowledge to work. ‘An AI tool I tried at my job based on what I learned at FIU lets us create blueprints in seconds,’ Dodd said, impressed by the technology’s potential.
But FIU’s course goes beyond simply using AI. Professor Lufan Wang understands the importance of students not just using the technology but understanding it. By teaching them to code, she gives them a ‘translator’ to communicate with AI and provides valuable feedback to improve its capabilities. An approach like this one prepares students to not only navigate the constantly evolving world of AI but also shape its future applications in construction.
The benefits of AI extend far beyond efficiency. Construction is a field where safety is paramount, and AI can be a valuable ally. Imagine having a tireless AI assistant analyse thousands of construction site photos to identify potential hazards or sending an AI-powered robot into a dangerous situation to gather information. These are a few ways AI can minimise risk and potentially save lives. While AI won’t replace human construction managers entirely, it can take on the most dangerous tasks, allowing human expertise to focus on what it does best – guiding and overseeing complex projects.
California lawmakers are poised to vote on groundbreaking legislation aimed at regulating AI to prevent potential catastrophic risks, such as manipulating the state’s electric grid or aiding in the creation of chemical weapons. Spearheaded by Democratic state Sen. Scott Wiener, the bill targets AI systems with immense computing power, setting safety standards that apply only to models costing over $100 million to train.
Tech giants like Meta (Facebook) and Google strongly oppose the bill, arguing that it unfairly targets developers rather than those who misuse AI for harmful purposes. They contend that such regulations could stifle innovation and drive tech companies away from California, potentially fracturing the regulatory landscape.
While highlighting California’s role as a leader in AI adoption, Governor Gavin Newsom has not publicly endorsed the bill. His administration is concurrently exploring rules to combat AI discrimination in employment and housing, underscoring the dual challenges of promoting AI innovation while safeguarding against its misuse.
The proposed legislation has garnered support from prominent AI researchers and would establish a new state agency to oversee AI development practices and enforce compliance. Proponents argue that California must act swiftly to avoid repeating past regulatory oversights in the social media sector, despite concerns over regulatory overreach and its potential economic impact.
West Japan Railway Co. (JR West) has announced plans to deploy a humanoid robot to undertake maintenance tasks along its railway tracks in the Kyoto-Osaka-Kobe region starting this July. The move aims to enhance efficiency and safety by delegating hazardous and physically demanding tasks to the robot.
Equipped with two arms, the robot will operate atop a construction vehicle, reaching heights up to 12 meters. It can handle objects weighing up to 40 kilograms and be fitted with various tools such as chain saws and brushes for different maintenance needs.
Operators will control the robot from inside the vehicle using goggles that display real-time camera feeds from the robot’s perspective. A setup like this enables precise control, replicating the sensation of physically handling tools and objects through advanced feedback mechanisms.
JR West anticipates a significant reduction in staffing requirements for these tasks, estimating a decrease of around 30% with the introduction of the robot. Beyond internal use, the company plans to evaluate the robot’s effectiveness and explore opportunities to expand its deployment to other areas and potentially market it to external entities.
Introducing this humanoid robot in Japan marks a strategic step for JR West towards leveraging advanced technology to improve operational efficiency and safety standards across its railway maintenance operations.
Connecticut is spearheading efforts by developing what could be the nation’s first Citizens AI Academy. The free online resource aims to offer classes for learning basic AI skills and obtaining employment certificates.
Democratic Senator James Maroney of Connecticut emphasised the need for continuous learning in this rapidly evolving field. Determining the essential skills for an AI-driven world presents challenges due to the technology’s swift progression and varied expert opinions. Gregory LaBlanc from Berkeley Law School suggested that workers should focus on managing and utilising AI rather than understanding its technical intricacies to complement the capabilities of AI.
Several states, including Connecticut, California, Mississippi, and Maryland, have proposed legislation addressing AI in education. For instance, California is considering incorporating AI literacy into school curricula to ensure students understand AI principles, recognise its use, and appreciate its ethical implications. Connecticut’s AI Academy plans to offer certificates for career-related skills and provide foundational knowledge, from digital literacy to interacting with chatbots.
Despite the push for AI education, concerns about the digital divide persist. Senator Maroney highlighted the potential disadvantage for those needing more basic digital skills or access to technology. Marvin Venay of Bring Tech Home and Tesha Tramontano-Kelly of CfAL for Digital Inclusion stress the importance of affordable internet and devices as prerequisites for effective AI education. Ensuring these fundamentals is crucial for equipping individuals with the necessary tools to thrive in an AI-driven future.
In the evolving landscape of marketing and advertising, the integration of generative AI presents both promise and challenges, as highlighted in a recent Forrester report. Key obstacles include a lack of AI expertise among agency employees and concerns over job obsolescence. Also, the human factor poses a significant hurdle that the industry must address urgently to fully harness the potential of genAI.
The potential economic impact of genAI on agencies is profound. Seen as a transformative force akin to the advent of smartphones, genAI promises to redefine creativity in marketing by combining data intelligence with human intuition. Agency leaders overwhelmingly recognise it as a disruptive technology, with 77% acknowledging its potential to fundamentally alter business operations. However, the fear of job displacement among employees remains palpable, exacerbated by recent industry disruptions and the rapid automation of white-collar roles.
To mitigate these concerns and fully embrace genAI, there is a pressing need for comprehensive AI literacy and training within agencies. While existing educational programmes and certifications provide a foundation, they are insufficient to meet the demands of integrating AI into everyday creative processes. Investment in reskilling and upskilling initiatives is crucial to empower agency employees to confidently navigate the AI-driven future of marketing and advertising.
Industry stakeholders, including agencies, technology partners, universities, and trade groups, must collaborate to establish robust training frameworks. In addition, a concerted effort will not only bolster agency capabilities in AI adoption but also ensure that creative workforce remains agile and competitive in an increasingly AI-centric landscape. By prioritising AI literacy and supporting continuous learning initiatives, agencies can position themselves at the forefront of innovation, delivering enhanced value to clients through AI-powered creativity.
Amazon has recently hired the co-founders and several team members from AI startup Adept in a strategic move to bolster its AI capabilities. Adept’s CEO David Luan and other key employees have joined Amazon. At the same time, the startup will continue to operate independently, with Amazon paying a licensing fee to use some of its technology to automate business functions.
The recruitment is similar to Microsoft’s earlier hiring of Inflection AI’s team, which has drawn regulatory scrutiny. Adept, valued at over $1 billion, has already named a new CEO. Amazon’s recruitment of Adept’s team signals its ambition to advance AI agent tools, an area of focus for major tech labs. The company is also working to update its Alexa voice assistant with generative AI for more complex and responsive interactions.
At Amazon, Luan and others will report to Rohit Prasad, who leads the company’s artificial general intelligence efforts. Previously head of Alexa, Prasad has integrated researchers across Amazon to enhance AI model training. He stated that these new hires will significantly contribute to Amazon’s pursuit of achieving AGI.
In a recent interview, Mark Zuckerberg positioned Meta as a leading advocate for open-source AI, critiquing competitors for their closed-source approaches. Speaking on the YouTube channel Kallaway, Zuckerberg expressed his belief that individual companies should not monopolise AI technology to create singular products. Instead, he envisions a future with diverse AI options, supported by open-source principles.
Zuckerberg highlighted Meta’s commitment to open-source AI, emphasising the importance of empowering developers and users to contribute to and innovate within the AI ecosystem. However, some experts question Meta’s open-source claims. Amanda Brock, CEO of OpenUK, argued that Meta’s Llama model is only partially open-source due to certain commercial stipulations. Similarly, Gartner analyst Arun Chandrasekaran noted Meta’s competitive constraints that limit the openness of its models.
Meta is not alone in promoting open-source AI. French startup Mistral AI and Databricks have also made strides in this area, though their offerings include restrictions. The Linux Foundation has announced the Open Platform for Enterprise AI (OPEA) to standardise open-source definitions in AI, reflecting a broader industry movement towards clarity and true openness in AI development.
NBC is set to bring sportscaster Al Michaels back to the Olympics with a twist this summer: his voice will be powered by AI. The network announced on Wednesday that AI software will recreate Michaels’ voice to deliver daily recaps of the Summer Games for subscribers of its Peacock streaming platform. That marks a significant milestone for the use of AI by a major media company.
The AI-driven recaps will be part of a new feature called ‘Your Daily Olympic Recap on Peacock,’ offering 10-minute highlight packages. These packages will include event updates, athlete backstories, and other content personalised to subscriber preferences. NBC claims the highlights can be packaged in about 7 million different ways, drawn from 5,000 hours of live coverage from Paris, showcasing the efficiency of AI in delivering tailored content.
Al Michaels expressed initial scepticism about the project but became intrigued after seeing a demonstration. He is being compensated for his involvement. Michaels, known for his long broadcasting career, including the iconic Miracle on Ice Game at the 1980 Winter Olympics, lent his past NBC broadcast audio to train the AI system. NBC assures that all content will be reviewed by a team of editors for factual accuracy and proper pronunciation. The highlights tool will be available on Peacock via web browsers and iOS and iPadOS apps starting 27 July.
