Findings among Fortune 1000 firms reveal that ‘techno optimism prevails,’ with 96.6% of organizations seeing the overall impact of AI as beneficial. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As part of its bevy of AI announcements at CES 2025 today, Nvidia announced Nemotron model families to advance agentic AI. Available as Nvidia NIM microservices, open Llama Nemotron large language models and Cosmos Nemotron vision language models can supercharge AI agents on any accelerated system. Nvidia made the announcement as part of CEO Jensen Huang’s opening keynote today at CES 2025. Agentic AI Artificial intelligence is entering a new era — the age of agentic AI — where teams of specialized agents can help people solve complex problems and automate repetitive tasks. With custom AI agents, enterprises across industries can manufacture intelligence and achieve unprecedented productivity. These advanced AI agents require a system of multiple generative AI models optimized for agentic AI functions and capabilities. This complexity means that the need for powerful, efficient enterprise-grade models has never been greater. “AI agents is the next robotic industry and likely to be a multibillion-dollar opportunity,” Huang said. The Llama Nemotron family of open large language models (LLMs) is intended to provide a foundation for enterprise agentic AI. Built with Llama, the models can help developers create and deploy AI agents across a range of applications, including customer support, fraud detection, and product supply chain and inventory management optimization. To be effective, many AI agents need both language skills and the ability to perceive the world and respond with the appropriate action. Words and Visuals Nvidia Nemotron With the new Nvidia Cosmos Nemotron vision language models (VLMs) and Nvidia NIM microservices for video search and summarization, developers can build agents that analyze and respond to images and video from autonomous machines, hospitals, stores and warehouses, as well as sports events, movies and news. For developers seeking to generate physics-aware videos for robotics and autonomous vehicles, Nvidia today separately announced Nvidia Cosmos world foundation models. The Nemotron models optimize compute efficiency and accuracy for AI agents built with Llama foundation models — one of the most popular commercially viable open-source model collections, downloaded over 650 million times — and provide optimized building blocks for AI agent development. The models are pruned and trained with Nvidia’s latest techniques and high-quality datasets for enhanced agentic capabilities. They excel at instruction following, chat, function calling, coding and math, while being size-optimized to run on a broad range of Nvidia accelerated computing resources. “Agentic AI is the next frontier of AI development, and delivering on this opportunity requires full-stack optimization across a system of LLMs to deliver efficient, accurate AI agents,” said Ahmad Al-Dahle, vice president and head of GenAI at Meta, in a statement. “Through our collaboration with Nvidia and our shared commitment to open models, the Nvidia Llama Nemotron family built on Llama can help enterprises quickly create their own custom AI agents.” Early adopters Leading AI agent platform providers including SAP and ServiceNow are expected to be among the first to use the new Llama Nemotron models. “AI agents that collaborate to solve complex tasks across multiple lines of the business will unlock a whole new level of enterprise productivity beyond today’s generative AI scenarios,” said Philipp Herzig, chief AI officer at SAP, in a statement. “Through SAP’s Joule, hundreds of millions enterprise users will interact with these agents to accomplish their goals faster than ever before. Nvidia’s new open Llama Nemotron model family will foster the development of multiple specialized AI agents to transform business processes.” “AI agents make it possible for organizations to achieve more with less effort, setting new standards for business transformation,” said Jeremy Barnes, vice president of platform AI at ServiceNow, in a statement. “The improved performance and accuracy of Nvidia’s open Llama Nemotron models can help build advanced AI agent services that solve complex problems across functions, in any industry.” The Nvidia Llama Nemotron models use Nvidia NeMo for distilling, pruning and alignment. Using these techniques, the models are small enough to run on a variety of computing platforms while providing high accuracy as well as increased model throughput. The Nemotron models will be available as downloadable models and as Nvidia NIM microservices that can be easily deployed on clouds, data centers, PCs and workstations. They are intended to offer enterprises industry-leading performance with reliable, secure and seamless integration into their agentic AI application workflows. Customize and connect to business knowledge with Nvidia NeMo The Llama Nemotron and Cosmos Nemotron model families are coming in Nano, Super and Ultra sizes to provide options for deploying AI agents at every scale. ● Nano: The most cost-effective model optimized for real-time applications with low latency, ideal for deployment on PCs and edge devices ● Super: A high-accuracy model offering exceptional throughput on a single GPU ● Ultra: The highest-accuracy model, designed for data-center-scale applications demanding the highest performance Enterprises can also customize the models for their specific use cases and domains with Nvidia NeMo microservices to simplify data curation, accelerate model customization and evaluation, and apply guardrails to keep responses on track. With Nvidia NeMo Retriever, developers can also integrate retrieval-augmented generation (RAG) capabilities to connect models to their enterprise data. And using Nvidia Blueprints for agentic AI, enterprises can create their own applications using Nvidia’s advanced AI tools and end-to-end development expertise. In fact, Nvidia Cosmos Nemotron, Nvidia Llama Nemotron and NeMo Retriever supercharge the new Nvidia Blueprint for video search and summarization (announced separately today). NeMo, NeMo Retriever and Nvidia Blueprints are all available with the Nvidia AI Enterprise software platform. Availability Llama Nemotron and Cosmos Nemotron models will be available as hosted APIs and for download on build.nvidia.com and on Hugging Face. Access for development, testing and research is free for members of the Nvidia Developer Program. Enterprises can run Llama Nemotron and Cosmos Nemotron NIM microservices in production with the Nvidia AI Enterprise software platform on accelerated data center and cloud infrastructure. source

IPv6 offers a much larger addressing scheme than IPv4, which is one of the many reasons it was developed. However, I have seen rare instances in which IPv6 has caused network problems. Since some hardware doesn’t take advantage of IPv6 (and some admins might be working with IPv4), a temporary and easy solution is to disable IPv6. The protocol can be re-enabled when the issue has been permanently resolved. If you have hardware that perfectly implements IPv6 and software that uses it correctly, this is a non-issue. But if you’re having networking issues with Linux servers or desktops, and you’ve exhausted all possible areas, you might try disabling v6 of the network protocol. I’ve had a few instances where communication between a Linux desktop and an old router would constantly drop, and disabling IPv6 was the only solution that worked. After a while, I would re-enable IPv6 to see if a router firmware update (and a desktop OS update) had solved the problem. In some instances, it solved the issue, and IPv6 could remain enabled, though in other instances, IPv6 would have to be disabled again. I’ll show you how to disable IPv6 on a Linux machine. (Note: I recommend disabling IPv6 only when you’ve exhausted all other options. Also, you should consider this a temporary fix.) SEE: Top Commands Linux Admins Need to Know (TechRepublic Premium) Command line You guessed it: We’re going to be working with the command line. I’ll show you how to disable IPv6 on Red Hat- and Debian-based distributions. Here’s how to disable the protocol on a Red Hat-based system: Open a terminal window. Change to the root user. Issue the command sysctl -w net.ipv6.conf.all.disable_ipv6=1 Issue the command sysctl -w net.ipv6.conf.default.disable_ipv6=1 To re-enable IPv6, issue the following commands: sysctl -w net.ipv6.conf.all.disable_ipv6=0 sysctl -w net.ipv6.conf.default.disable_ipv6=0 Here’s how to disable the protocol on a Debian-based machine. Open a terminal window. Issue the command sudo nano /etc/sysctl.conf Add the following at the bottom of the file: net.ipv6.conf.all.disable_ipv6 = 1 net.ipv6.conf.default.disable_ipv6 = 1 net.ipv6.conf.lo.disable_ipv6 = 1 Save and close the file. Reboot the machine. To re-enable IPv6, remove the above lines from /etc/sysctl.conf and reboot the machine. SEE: How to View Your SSH Keys in Linux, macOS, and Windows (TechRepublic) The caveats If you happen to use X Forwarding through ssh, disabling IPv6 can break this system. To fix that issue, you must open the /etc/ssh/sshd_config file and change the #AddressFamily any to AddressFamily inet. Save that file and restart sshd. If you use Postfix, you could encounter issues with the service starting. To fix this, you’ll have to use an IPv4 loopback. Open the /etc/postfix/main.cf file, comment out the localhost line, and add the IPv4 loopback like so: #inet_interfaces = localhost inet_interfaces = 127.0.0.1 SEE: How to Set Temporary Environment Variables in Linux (TechRepublic) An imperfect solution This isn’t a perfect solution, but sometimes you must be creative in troubleshooting. If you’re encountering odd networking errors with Linux servers and desktops, try disabling IPv6 to aid you in your troubleshooting or to provide a temporary fix. This article was originally published in June 2016. It was updated by Antony Peyton in January 2025. source

Dutch battery startups must innovate at “critical pinch points” in the supply chain to compete globally, says Kevin Brundish, CEO of Eindhoven-based battery company LionVolt. The comments come at a tough time for Europe’s battery sector, which has been left reeling following the recent collapse of Northvolt. The Swedish startup’s gigafactories were perhaps the continent’s greatest hope for a homegrown battery success story.  Northvolt’s failure serves as a cautionary tale of the immense challenges in scaling battery production, from securing supply chains to managing infrastructure costs and maintaining investor confidence. But building big and building fast isn’t the only way to cash in on the battery boom.  “While other European nations have focused on establishing gigafactories, with varying degrees of success, the Netherlands should leverage its historical strengths to support companies developing next-generation subcomponents,” said Brundish. The 💜 of EU tech The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now! ASML epitomises this strategy. The Netherlands-based firm is the sole producer of the advanced photolithography machines used by all the world’s biggest chipmakers. Without ASML’s machines, the entire chip supply chain would falter.  It’s an approach that deep and climate tech startups would do well to emulate, according to Brundish. “Focusing on pinch-points enables startups to minimise infrastructure costs while targeting areas with high innovation potential,” he said.   LionVolt spun out from TNO’s Holst Centre in Eindhoven, the Netherlands in 2020. The startup is working on a 3D lithium-metal anode that improves energy transfer in lithium-ion, sodium-ion and, in the future, solid-state batteries.  The anodes contain a film made up of billions of solid pillars, creating a patented 3D architecture with a large surface area. Compared to conventional anodes, the ions only have to travel a short distance, which makes charging and discharging much faster.   LionVolt’s anodes can be dropped into the manufacturing processes of existing gigafactories — reducing risk and lowering capital requirements. This may be key to survival for startups operating in a highly competitive global battery market. Lionvolt is one of several Dutch companies innovating new ways to build better batteries, triggered by surging demand for EVs and other electronic devices.   “In 2024, the Dutch ecosystem has shown remarkable progress, particularly in the lithium-ion battery market,” said Brundish. LeydenJar, another startup from Eindhoven, is working on silicon anodes that could make lithium-ion batteries hold more charge. Meanwhile, CarbonX, a spinout from TU Delft, has developed an alternative to graphite in batteries. It’s made from recycled materials and could help cut dependence on China, which has a chokehold on global supplies of graphite.  LionVolt’s first pilot production line is on track to open in early 2025, with construction well underway and key equipment ordered. The company told TNW that it is now embarking on a Series A funding round as it looks for fresh capital to fuel its expansion plans. While Brundish is optimistic about the trajectory of the Dutch deep tech ecosystem, he stressed the need for further government support and cross-border collaboration.  “Given the Netherlands’ relatively small size, establishing closer links with financial institutions, such as deep tech VCs, will enable the rapid focusing of government subsidies alongside VC funding,” he said.  Public funding must also be deployed more rapidly to nurture promising ecosystems before they lose momentum or migrate elsewhere, he added. source

By Jack Rodgers ( January 8, 2025, 3:36 PM EST) — Weeks after FBI Director Christopher Wray announced that he’ll resign at the end of President Joe Biden’s term, Fenwick & West LLP said Wednesday that it has hired the FBI director’s chief of staff, who joined the team as a white collar defense and investigations partner…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

If you’re considering porting your landline number to VoIP, or your current VoIP number to a new service provider — and you have never done it before — you’re right to be cautious. It’s not difficult, but there are some odd formalities that can mix people up if they are unfamiliar with VoIP number porting. The best thing to do is follow every step of the well-documented, highly-regulated process. By following the very specific order of operations, you can port your VoIP number successfully to a business phone service that better suits your needs.. We’ll provide a detailed guide so that you can do this correctly without panicking, even if you have a ton of phone numbers to port, including 800-numbers or vanity numbers. 1 RingCentral RingEx Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Medium (250-999 Employees), Large (1,000-4,999 Employees), Enterprise (5,000+ Employees) Medium, Large, Enterprise Features Hosted PBX, Managed PBX, Remote User Ability, and more 2 Talkroute Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features Call Management/Monitoring, Call Routing, Mobile Capabilities, and more 3 CloudTalk Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features 24/7 Customer Support, Call Management/Monitoring, Contact Center, and more How to port a landline number to VoIP Porting a number simply means transferring it to a new service. You can switch from a landline to VoIP phone service and keep your existing phone number. Many people decide to do this because of VoIP services’ flexibility and low costs. If you’re open to switching your landline to VoIP, it’s a good idea to get in touch with both your current and future service providers. Your current provider will need to release your phone number, and your new provider will request it. Let’s get started with the steps you’ll need to follow: Notify your current service provider: This step is very important because they’ll generate a port PIN for you, or tell you how to obtain one, usually on a website. The port PIN, also known as port-out PIN, ensures no one else uses your phone number while you migrate. There are entire online communities squatting on expired website domains, and you wouldn’t want to be victim to a similar group that instead takes on your old, well-known phone number. Will you be able to port if you don’t notify your current provider? Since your new carrier wants the business, they could sort this step out for you, but you can expect a slower process. Select a new VoIP service provider: Pick a VoIP service provider that fits your needs and your wallet. Check out this post on how much VoIP should cost and make sure they can port all the numbers you want. Should you cancel your current contract by now? Absolutely not. Wait until your new provider is set up. Contact your new VoIP provider: Contact your new VoIP provider and tell them you want to start porting your number with them. Provide the required information: To make the porting process go smoothly, you’ll need to give some information to the new VoIP provider. They’ll probably ask for things like your current phone number, your current provider’s account details, and payment information, provided you haven’t first registered on a landing page. Fill out a Letter of Authorization (LOA): You will need to sign an LOA, which stands for Letter of Authorization (or Letter of Agency, in some cases). This document gives your new VoIP provider permission to port your phone number from your old provider. VoIP companies want business, so they usually take care of the LOA for you and just email you a form you can e-sign. If they request you to send it over, ask them what info you should include. Since LOAs require your signature, they act as proof that it’s you who’s requesting the change. It’s also a legal record of to whom and when you requested a port. If you’re unfortunate enough to be surprise-delivered with a new number, the LOA will work to your advantage when you file a complaint. It’s a convenient way to protect your interests. Expect to wait: Porting your number typically takes a few days, but it can sometimes take up to two weeks. A carrier must submit a preferred carrier change request on behalf of a subscriber within 60 days of obtaining a Letter of Authorization, according to the Federal Communications Commission (FCC). This does not mean they should migrate in two months, but they’re at least compelled to start the process by then. Be ready for a short break in service while things get switched over, but your new VoIP service will soon be up and running. To avoid delay, make sure you give both your old and new service providers the correct information on the LOA. Mistakes in your details could cause the porting process to take longer. Minimize potential issues: To avoid any hiccups during the porting process, double-check that all the information you give is accurate and matches what your current provider has on file. Also, keep in touch with both providers often. It’s better to be overinformed than under. Cancel with your old provider: Cancel your legacy landline provider once you’re confident your number is working on VoIP. If you are uncertain about what to look for in a new provider or about this technology in general, check out my post about all the things you should know about VoIP before signing a contract. Additional tips for VoIP number porting This shouldn’t be a hard process. Your new provider is going to do what they can to make it easy to switch — they want your money — but here are a few things you can do to make sure the process goes smooth: Start the porting process at least two weeks before your desired switch

By Gina Kim ( January 7, 2025, 10:01 PM EST) — Elgon Information Systems, which provides digital medical record and billing support services, will pay $80,000 over alleged healthcare data protection rule violations following a ransomware attack on its systems in March 2023 that impacted roughly 31,248 customers, the U.S. Department of Health and Human Services announced Tuesday…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Identifying network traffic types is vital because it allows you to consider various facets of network quality. Though people use multiple classifications and terms to define network traffic, it’s broadly classified by direction, such as north-south or east-west traffic. Typically, network traffic represents the data or packets of data that travel through one or more computer networks at a given time. However, there are many other ways of looking at network traffic, primarily driven by their use cases and applications. For instance, some network traffic types are categorized based on whether or not they are suitable for real-time applications — and you’ll recognize that most common web applications fall under this umbrella. Real-time network traffic enables live streaming, online gaming, web hosting, and more. Alternatively, people primarily use non-real-time traffic for things like file downloads from browsers (HTTP downloads), torrents (Bittorrent), and NNTP news servers. 1 RingCentral RingEx Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Medium (250-999 Employees), Large (1,000-4,999 Employees), Enterprise (5,000+ Employees) Medium, Large, Enterprise Features Hosted PBX, Managed PBX, Remote User Ability, and more 2 Talkroute Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features Call Management/Monitoring, Call Routing, Mobile Capabilities, and more 3 CloudTalk Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features 24/7 Customer Support, Call Management/Monitoring, Contact Center, and more How network traffic flows A computer network consists of a collection of machines and devices called nodes (which are computing devices like IoT, servers, modems, and printers), along with the paths that link those nodes together. The benefit of a network is to allow many computers to communicate with each other seamlessly. Network traffic is essentially the data being sent from one location to another between source and destination devices. However, this data isn’t sent all at once. Instead, the network breaks it up into smaller batches known as data packets. This step makes the transmission process more efficient and reliable, especially when large files are involved. Data packets represent units of data that constitute the network’s workload. Each packet comes with a header and a payload that contains the data meant for transfer. These packet headers act as metadata (including host and destination address information) that’s necessary to process the content. A classic example of a network is the internet — a dispersed network of public and private IT infrastructure, linked computers, and devices that facilitate global communications. Routing and path selection Efficient routing ensures data packets take the best paths through a network, balancing traffic and maintaining smooth communication. Routers rely on predefined rules and network metrics like speed, capacity, and delay to select the most effective routes. They guide data packets using their headers to determine destinations, forwarding packets through multiple devices until the receiving device reassembles them. Poor routing can increase network congestion, reduce reliability, increase latency, cause packet loss, and cause communication failures. Following best practices and computer networking fundamentals ensures that all of these bad outcomes are limited as much as possible. Beyond path selection, routers also handle data forwarding and load balancing. Data forwarding moves packets to the next device along the chosen path, while load balancing prevents network congestion by distributing traffic across multiple routes, sometimes using redundancy to send copies of packets along alternate paths. Quality of Service (QoS) QoS is a pivotal mechanism for managing and administering network quality, helping to reduce packet loss, jitter, and latency — including determining traffic transmission priority. QoS is also instrumental in prioritizing and allocating sufficient bandwidth to critical network traffic. For example, admins can use QoS to prioritize VoIP traffic on the network, ensuring that real-time communications like voice and video get the bandwidth they require. Without QoS, phone calls would compete with resource hogs like CRM software and large file downloads, leading to choppy audio and dropped calls. Five types of network traffic Once again, network types are broadly classified based on various factors, such as the direction in which their data packets flow, or the kind of traffic that passes through the network. North-south traffic Description: In practical terms, the traffic that flows between a client and a server is externally oriented, meaning it moves from an internal data center to an external client (and the rest of the network outside the data center’s perimeter). As a result, north-south refers to traffic that enters and exits a network. It points to a vertical direction flow, typically coming from an organization’s IT infrastructure to a system — or to an endpoint that physically resides outside the network. Traditionally, southbound traffic is data entering an organization’s data center, typically through a firewall or router acting as a network perimeter device. Likewise, data leaving the data center is called northbound traffic. Main purpose: North-south traffic facilitates external client-server communications that drive the core of modern digital infrastructure and communications like the internet and cloud-based applications. Main benefits: North-south traffic has grown astronomically with the advent of cloud computing systems and applications. As a result, the focus on north-south traffic has made organizations more vigilant at the ingress/egress point of data centers. This means there’s an increased urgency for validating external client requests, improving data security compliance, and protecting intellectual property. Limitations/Problems: While this network traffic is effective for data transfer, its access to data from the outside world makes it more susceptible to security threats. Therefore, north-south network traffic is inherently more risky because it flows from outside of the corporate perimeter. As a result, a network configuration like this requires close monitoring of incoming and outgoing traffic. It calls for investment in firewalls, Virtual Private networks (VPNs), and intrusion detection systems to mitigate malware, ransomware, and privacy issues. Example: Any executive at a corporate office or engineer at a data center is likely to need access to relevant documents from their organization’s cloud account to

President-elect Trump has been vocal about plans to repeal the AI executive order signed by President Biden. A second Trump administration could mean a lot of change for oversight in the AI space, but what exactly that change will look like remains uncertain.   “I think the question is then what incoming President Trump puts in its place,” says Doug Calidas, senior vice president of government affairs for Americans for Responsible Innovation (ARI), a nonprofit focused on policy advocacy for emerging technologies. “The second question is the extent to which the actions the Biden administration and the federal agencies have already taken pursuant to the Biden executive order. What happens to those?”  InformationWeek spoke to Calidas and three other leaders tuned into the AI sector to cast an eye to the future and consider what a hands-off approach to regulation could mean for the companies in this booming technology space.   A Move to Deregulation?  Experts anticipate a more relaxed approach to AI regulation from the Trump administration.   “Obviously, one of Trump’s biggest supporters is Elon Musk, who owns an AI company. And so that coupled with the statement that Trump is interested in pulling back the AI executive order suggest that we’re heading into a space of deregulation,” says Betsy Cooper, founding director at Aspen Tech Policy Hub, a policy incubator focused on tech policy entrepreneurs.   Related:AI-Driven Quality Assurance: Why Everyone Gets It Wrong Billionaire Musk, along with entrepreneur Vivek Ramaswamy, is set to lead Trump’s Department of Government Efficiency (DOGE), which is expected to lead the charge on significantly cutting back on regulation. While conflict-of-interest questions swirl around his appointment, it seems likely that Musk’s voice will be heard in this administration.   “He famously came out in support of California SB 1047, which would require testing and reporting for the cutting-edge systems and impose liability for truly catastrophic events, and I think he’s going to push for that at the federal level,” says Calidas. “That’s not to take away from his view that he wants to cut regulations generally.”  While we can look to Trump and Musk’s comments to get an idea of what this administration’s approach to AI regulation could be, but there are mixed messages to decipher.   Andrew Ferguson, Trump’s selection to lead the US Federal Trade Commission (FTC), raises questions. He aims to regulate big tech, while remaining hands-off when it comes to AI, Reuters reports.   “Of course, big tech is AI tech these days. So, Google, Amazon all these companies are working on AI as a key element of their business,” Cooper points out. “So, I think now we’re seeing mixed messages. On the one hand, moving towards deregulation of AI but if you’re regulating big tech … then it’s not entirely clear which way this is going to go.”  Related:6 AI-Related Security Trends to Watch in 2025 More Innovation?  Innovation and the ability to compete in the AI space are two big factors in the argument for less regulation. But repealing the AI executive order alone is unlikely to be a major catalyst for innovation.   “The idea that by even if some of those requirements were to go away you would unleash innovation, I don’t think really makes any sense at all. There’s really very little regulation to be cut in the AI space,” says Calidas.   If the Trump administration does take that hands-off approach, opting not to introduce AI regulation, companies may move faster when it comes to developing and releasing products.   “Ultimately, mid-market to large enterprises, their innovation is being chilled if they feel like there’s maybe undefined regulatory risk or a very large regulatory burden that’s looming,” says Casey Bleeker, CEO and cofounder of SurePath AI, a GenAI security firm.   Does more innovation mean more power to compete with other countries, like China?   Related:Who Should Lead the AI Conversation in the C-Suite? Bleeker argues regulation is not the biggest influence. “If the actual political objective was to be competitive with China … nothing’s more important than having access to silicon and GPU resources for that. It’s probably not the regulatory framework,” he says.   Giving the US a lead in the global AI market could also be a question of research and resources. Most research institutions do not have the resources of large, commercial entities, which can use those resources to attract more talent.   “[If] we’re trying to increase our competitiveness and velocity and innovation putting funding behind … research institutions and education institutions and open-source projects, that’s actually another way to advocate or accelerate,” says Bleeker.   Safety Concerns?  Safety has been one of the biggest reasons that supporters of AI regulation cite. If the Trump administration chooses not to address AI safety at a federal level, what could we expect?  “You may see companies making decisions to release products more quickly if AI safety is deprioritized,” says Cooper.   That doesn’t necessarily mean AI companies can ignore safety completely. Existing consumer protections address some issues, such as discrimination.  “You’re not allowed to use discriminatory aspects when you make consumer impacting decisions. That doesn’t change if it’s a manual process or if it’s AI or if you’ve intentionally done it or by accident,” says Bleeker. “[There] are all still civil liabilities and criminal liabilities that are in the existing frameworks.”   Beyond regulatory compliance, companies developing, selling, and using AI tools have their reputations at stake. If their products or use of AI harms customers, they stand to lose business.   In some cases, reputation may not be as big of a concern. “A lot of smaller developers who don’t have a reputation to protect probably won’t care as much and will release models that may well be based on biased data and have outcomes that are undesirable,” says Calidas.   It is unclear what the new administration could mean for the AI Safety Institute, a part of the National Institute of Standards and Technology (NIST), but Cooper considers it a key player to watch. “Hopefully that institute will continue to be able to do important

Under the rules, only a core group of 20 trusted countries, including most large European and Asian democracies, are exempt from export caps. However, key US partners including India, Singapore, Vietnam, and Mexico are excluded, along with smaller European nations such as the Baltic republics and Czechia, signaling disparities in US trust. Local cloud providers could qualify as “validated end users” by meeting specific security assurances, as seen in a recent US-UAE deal allowing G42 to access Microsoft’s advanced AI technology after limiting ties to China. What it means for enterprises The implications for enterprises are far-reaching. Under the new framework, businesses relying on GPUs for cloud services or AI development may face cost increases, supply chain challenges, and delays in accessing cutting-edge technologies. For cloud providers, compliance costs linked to retrofitting data centers with stringent security requirements could create additional burdens. “For enterprises, the export control framework may disrupt GPU supply chains, causing project delays and increased operational costs, while forcing enterprises to invest in alternative technologies, potentially impacting their competitiveness and profitability,” Forrester’s Dai said. source