Stay Ahead, Stay ONMINE

Pig API: Give your AI agents a virtual desktop to automate Windows apps

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the evolving landscape of AI, enterprises face the challenge of integrating modernsolutions with legacy systems that often lack the necessary application programming interfaces (APIs) for seamless integration. Approximately 66% of organizations continue to rely on […]

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More


In the evolving landscape of AI, enterprises face the challenge of integrating modernsolutions with legacy systems that often lack the necessary application programming interfaces (APIs) for seamless integration. Approximately 66% of organizations continue to rely on legacy applications for core operations, leading to increased maintenance costs and security vulnerabilities.

Tools like PigAPI have taken a different approach to this problem by enabling AI agents to interact directly with graphical user interfaces (GUIs) within virtual Windows desktops hosted in the cloud. This connects modern AI capabilities with legacy software, allowing for automation of tasks such as data entry and workflow management without the need for local infrastructure. Additionally, users can intervene at any point, taking control of the virtual machine (VM) to guide or adjust tasks as needed. For businesses grappling with legacy challenges, this hybrid approach offers a practical solution to modernize operations without overhauling existing systems.

Breaking through legacy system barriers

Traditional robotic process automation (RPA) tools, such as UiPath and Automation Anywhere, are designed to automate repetitive tasks by mimicking human interactions with software applications. However, these tools often encounter significant challenges when dealing with legacy systems, particularly those that are GUI-based and lack modern integration points.

The absence of user-friendly APIs in these older systems makes integration cumbersome and prone to errors. Additionally, RPA solutions are typically rule-based and struggle to adapt to dynamic changes in user interfaces or workflows, leading to brittle automation processes that require constant maintenance and updates.

By contrast, AI agents, such as those enabled by Pig API, offer a more flexible and intelligent approach to automation. Unlike traditional RPA tools, AI agents are not solely rule-based; they can learn and adapt to changes in the user interface, making them more resilient to updates or modifications in legacy systems. This adaptability reduces the need for constant maintenance and allows for more complex task automation. Furthermore, by operating within virtual environments, AI agents can scale more efficiently, handling multiple tasks across different systems simultaneously without the constraints of physical hardware.

For example, in the finance sector, AI agents can facilitate the migration of data from outdated accounting systems to modern customer relationship management (CRM) platforms by mimicking manual data entry processes. In healthcare, they can interact with legacy electronic health record (EHR) systems to extract and input patient information, streamlining administrative tasks and reducing the potential for human error.

Technical details: How Pig API powers GUI automation with AI agents

Pig API enables AI agents to interact directly with GUIs within cloud-hosted virtual Windows desktops. Through its Python software development kit (SDK), Pig makes it possible for developers to integrate virtual environments into workflows, automating processes that traditionally required manual effort.

Connecting AI agents to cloud-hosted virtual desktops

At the heart of Pig API is its ability to create and manage VMs for AI agents. These cloud-hosted environments eliminate the need for local infrastructure, allowing enterprises to scale workflows seamlessly. For instance, developers can easily initialize a VM, connect to it, and define tasks for their AI agents using a straightforward process. Here’s an example:

Source: https://x.com/erikdunteman/status/1881754445899567315

This setup provides AI agents with a dedicated environment to perform tasks such as interacting with desktop applications, simulating user inputs and automating workflows. By abstracting the complexities of GUI interaction, Pig ensures that developers of varying expertise can leverage its capabilities effectively.

Simulating human-like interactions 

Pig API enables AI agents to perform a variety of actions that closely mimic human behavior. This includes moving a mouse, clicking, dragging, typing into forms or spreadsheets and capturing screenshots of the current desktop view. These tools allow agents to make informed decisions during their operations and execute complex workflows.

Source: https://github.com/pig-dot-dev/pig-python

LLM integration for multi-step workflows

One of Pig API’s standout features is its integration with large language models (LLMs) such as Anthropic’s Claude or OpenAI’s GPT. This capability enables AI agents to incorporate decision-making into their automation workflows, handling tasks that go beyond predefined rules. For instance, consider the following example of a data extraction and processing workflow:

Source: https://x.com/erikdunteman/status/1881754445899567315

In this workflow, the AI agent opens a browser, navigates to a specified URL, extracts relevant customer reviews and organizes data into an Excel spreadsheet. By integrating with LLMs, Pig enables agents to execute multi-step tasks that combine GUI automation with AI-driven logic, demonstrating its potential for streamlining complex operations.

Pig API in the automation ecosystem

The automation landscape includes a variety of tools tailored for different use cases, from traditional RPA platforms to advanced agentic AI solutions. Tools like UiPath and AutoHotkey excel at automating structured workflows and repetitive tasks, but are often limited when it comes to unstructured processes or GUI-heavy environments. Both require predefined scripts or rule-based logic, making them less adaptable to changes in user interfaces or dynamic workflows.

Pig API positions itself as a solution for scenarios where traditional automation tools encounter barriers, particularly in interacting with legacy Windows applications. Other emerging solutions, such as Microsoft’s UFO project and Anthropic’s Computer Use, also aim to enhance automation through intelligent agents capable of interacting with GUIs. However, these technologies remain in their experimental stages and focus more on augmenting user productivity rather than enterprise-scale workflows. Pig’s specific focus on enabling agents to operate within isolated virtual environments provides an alternative that aligns with the needs of enterprises dealing with legacy systems.

What’s next for Pig API and AI automation

As enterprises continue to navigate the complexities of integrating modern AI solutions with legacy systems, tools like Pig API take a new approach to bridging this gap. By enabling AI agents to interact directly with GUIs within virtual Windows desktops, Pig opens up new possibilities for automation in environments that have traditionally been difficult to modernize. Its cloud-hosted architecture and ability to work without APIs position it as a valuable tool for enterprises looking to extend the lifespan of legacy systems while improving operational efficiency.

While Pig offers a promising solution for GUI-based automation, it is one of several tools exploring this space. Its success will depend on continued development, transparency around security and compliance and its ability to integrate seamlessly into broader enterprise workflows. For organizations exploring AI-driven automation, Pig represents an option worth evaluating, particularly for industries reliant on outdated but critical software systems.

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

Why enterprise networks need both reach and resilience

As enterprises expand across regions, so do their cloud platforms and digital ecosystems. But with the rise of AI and its unprecedented appetite for data, networks are now under more pressure. Many businesses are learning the limits of legacy architecture the hard way. In the race to meet today’s standard

Read More »

Can your network handle the demands of today’s connected workplace?

Enterprise innovation is accelerating at a dizzying pace, from AI-powered applications and real-time data platforms to immersive customer experiences. Solutions like Microsoft Copilot are transforming productivity. Platforms-as-a-Service, such as Lattice, are reimagining how teams collaborate and grow. But beneath this digital renaissance lies the hard truth: none of it works

Read More »

White House Highlights Senate Passing of ‘Big Beautiful Bill’

A statement posted on the White House website on Tuesday said the Senate “delivered a resounding victory for American workers, farmers, and small businesses by passing President Donald J. Trump’s One Big Beautiful Bill”. The White House statement described the bill as “a transformative legislative package that locks in historic tax relief, delivers border security, reforms welfare, funds critical infrastructure, and more”. The statement linked to an X post by the “Official Rapid Response account of the Trump 47 White House” which noted that Vice President JD Vance “cast[ed]… the deciding vote as the Senate approve[d]… the One Big Beautiful Bill – moving it back to the House and one step closer to President Trump’s desk”. A summary of the bill on the Congress website, dated May 22, states that it “reduces taxes, reduces or increases spending for various federal programs, increases the statutory debt limit, and otherwise addresses agencies and programs throughout the federal government”. A tracker on the site showed that the bill had to pass the House and the Senate before going to the President and becoming law. In a statement sent to Rigzone late Tuesday, Independent Petroleum Association of America (IPAA) President and CEO Jeff Eshelman said “President Trump’s One Big Beautiful Bill remains a win for American energy”. “The bill passed today improves the ability of independent oil and natural gas producers to supply reliable, affordable energy to the American people,” he noted. “IPAA is pleased that the legislation reinstates oil and natural gas lease sales for onshore and offshore federal lands and makes common sense reforms to the permitting and leasing process on federal lands. IPAA members, the small businesses of the oil patch, are grateful that industry tax treatments including intangible drilling costs and percentage depletion were protected, along with carried interest deductions being preserved,” he added. “While

Read More »

Saudis Led Surge in OPEC Stalwarts’ Oil Exports Last Month

Saudi Arabia led a surge in crude exports from stalwart oil-producing giants in the Middle East in June.  The flood may reflect a race by Riyadh – along with neighboring Kuwait and the United Arab Emirates – to expedite barrels out of the Persian Gulf while a conflict between Israel and Iran threatened the region’s shipping corridor. While the trio are entitled to raise crude production under an OPEC+ accord, their exports appear to have climbed even further. The three nations loaded 11.9 million barrels a day onto tankers in June, ship-tracking compiled by Bloomberg shows. Their collective seaborne exports were the highest since April 2023.  “Amid supply disruption concerns, Middle Eastern oil producers might have looked at additional storage locations around the world,” said Giovanni Staunovo, a commodity analyst UBS Group AG.  The boost from the three producers, who rank among the biggest and most reliable in the Organization of the Petroleum Exporting Countries, signals the group and its partners are pressing on with plans to speed up the return of halted output – a strategy shift that has rattled crude traders and depressed prices, given faltering demand and an impending oversupply. The correlation between exports and production is patchy because countries load barrels from storage and can also ship them to storage. Likewise, the timing of a few large tanker shipments can have a big impact on flow rates. The bottom line, though is that the month-on-month gain from the trio – at 937,000 a day, their largest collective hike since September 2023 – means large amounts of extra supply are now en route toward buyer countries. Riyadh bolstered crude exports by 441,000 barrels a day, or about 7 percent, this month to 6.36 million a day, according to a preliminary analysis of tanker-tracking data compiled by Bloomberg. Kuwait’s exports rose to the highest

Read More »

Eni Forms New Company to Expand Oilfield Chemicals Business

Eni SpA’s chemical arm, Versalis SpA, has transferred its oilfield chemicals assets to a new company called Versalis Oilfield Solutions SRL in an expansion bid, Eni said Tuesday. “The operation aims to consolidate Versalis’ position in the oilfield services sector by bringing together key expertise and strategic activities in a single, focused and operationally efficient entity”, Italy’s state-controlled Eni said in an online statement. “Versalis’ oilfield operations encompass research and development of advanced chemical formulations, outsourcing their production and marketing solvents and additives designed for the oil drilling industry. Products are tailored to meet specific client requirements, while services include sales and after-sales support, ensuring continuous and qualified technical assistance”. Launched 2010, Eni’s oilfield chemicals business now operates in Africa, the Americas, Asia and Europe, according to the company. Versalis Oilfield Solutions will expand “the scope of activities in terms of products and services, achieve higher revenue targets, and maintain strong profitability”, Eni said. Last year Eni finalized a plan to transform Versalis, which makes basic chemicals, chemical products including plastics and biochemical products such as biolubricants. With an investment of around EUR 2 billion ($2.36 billion), the plan “aims to reduce emissions by approximately 1 million tonnes of CO2, currently about 40 percent of Versalis’ emissions in Italy”, Eni said in a press release October 24, 2024. “It includes the set-up of new industrial plants consistent with the energy transition and decarbonization of industrial sites across sustainable chemistry, as well as biorefining and energy storage”, Eni added. “To enable the construction of the new plants, activity at the cracking plants in Brindisi and Priolo, and the polyethylene plant in Ragusa, will be phased out”. “Eni aims to significantly reduce Versalis’ exposure to basic chemicals, a sector that is facing structural and irreversible decline in Europe, and which has led

Read More »

Macquarie Strategists Forecast USA Crude Inventory Drop

Macquarie strategists are forecasting that U.S. crude inventories will be down by 1.3 million barrels for the week ending June 27, an oil and gas report sent to Rigzone by the Macquarie team late Monday revealed. “This follows a 5.8 million barrel draw in the prior week, with the crude balance again realizing significantly tighter than our expectations amidst another week of disappointing net imports,” the strategists stated in the oil and gas report. “For this week’s crude balance, from refineries, we model an increase in crude runs (+0.2 million barrels per day),” the Macquarie strategists added in the report. “Among net imports, we again model a sharp increase, with exports significantly lower (-1.0 million barrels per day) and imports modestly higher (+0.2 million barrels per day) on a nominal basis,” they continued. The strategists highlighted in the report that timing of cargoes remains a source of potential volatility in this week’s crude balance. “From implied domestic supply (prod.+adj.+transfers), we look for a nominal reduction (-0.3 million barrels per day) this week,” the strategists said in the report. “Rounding out the picture, we anticipate another small increase in Strategic Petroleum Reserve (SPR) stocks (+0.3 million barrels) this week,” they added. The Macquarie strategists went on to state in the report that “among products”, they “look for a gasoline build (+2.3 million barrels) with distillate stocks slightly higher (+0.2 million barrels), and jet stocks modestly lower (-0.4 million barrels)”. “We model implied demand for these three products at 14.7 million barrels per day for the week ending June 27,” the strategists went on to state. U.S. commercial crude oil inventories, excluding those in the SPR, dropped by 5.8 million barrels from the week ending June 13 to the week ending June 20, the U.S. Energy Information Administration (EIA) highlighted in its

Read More »

Uniper to Supply Solar Power to Baden-Wuerttemberg Universities

German utility Uniper SE has signed a deal to supply the state of Baden-Wuerttemberg with 86 gigawatt hours (GWh) of solar electricity per year for three years, or around 258 gigawatt hours. The power is meant for the universities in Ulm, Mannheim, Hohenheim, and Constance. The delivery period will run from January 1, 2026, to December 31, 2028, the company said in a media release. The contract involves a full green supply with flexible guarantees of origin adapted to customer consumption and is based on electricity from Spanish photovoltaic systems that have recently been connected to the grid, Uniper said. The agreement brings the universities one step closer to a sustainable electricity supply. The University of Konstanz already operates its own combined heat and power plants, which cover 50 percent of its electricity requirements. The University of Mannheim has also been sourcing all of its electricity from renewable energies since 2012, Uniper said. “Our customers’ demand for green electricity has increased enormously and we are pleased to be able to meet this demand – always with the aim of harmonizing security of supply and low CO2 energy. In this context, we are supporting the universities in Baden-Wuerttemberg on their way to a better CO2 balance”, Gundolf Schweppe, CCO for Sales at Uniper, said. Uniper and Baden-Wuerttemberg had partnered for energy supply before. In 2021, they signed a gas contract with the University of Stuttgart for January 2023 to December 2026. “Green power contracts have become a key driver in times of energy transition: they guarantee the supply of renewable energy, protect against price fluctuations, promote innovation, and ultimately reduce emissions”, Uniper said. To contact the author, email [email protected] What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is

Read More »

Petronas Signs Vehicle Fluids Deal with Mahindra

Malaysia’s Petroliam Nasional Berhad (Petronas) has secured a deal with Mahindra & Mahindra Ltd. Petronas Lubricants International (PLI) and Petronas Lubricants (India) Pvt. Ltd. bagged an Aftermarket Service Fill contract from India’s largest sports utility vehicle (SUV) manufacturer. Under the agreement, Petronas Lubricants will be the sole distributor of vehicle fluids to Mahindra’s authorized dealers, workshops, and stockists under the Maximile brand within Mahindra’s South Zone Distribution network in India, Petronas said in a media release. The deal involves engine oils, transmission oils, axle oils, and steering fluids. The deal spans 50 Stock Keeping Units (SKUs), catering to a wide range of passenger cars and SUVs across the region, Petronas said. “This collaboration marks a strategic step for PLIPL, reinforcing its commitment to deliver high-performance, OEM-aligned solutions to India’s rapidly growing automotive market”, Petronas said. “Through decades of engineering expertise, PLIPL’s innovative products will now be accessible to a broader market, enabling more customers to experience its award-winning Fluid Technology Solutions™ while supporting the future of mobility in India with Mahindra as a trusted partner. “With proven capabilities in R&D, manufacturing, and global distribution, PETRONAS Lubricants International is ideally positioned to support Mahindra’s expansive service network and evolving customer expectations”, it added. The agreement was signed by Binu Chandy, Chief Executive Officer of Petronas Lubricants India Pvt. Ltd., and R. Veeraraghavan, Senior Vice President of Strategic Sourcing, Mahindra & Mahindra Ltd., in Mumbai. To contact the author, email [email protected] What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is a new social experience created for you and all energy professionals to Speak Up about our industry, share knowledge, connect with peers and industry insiders and engage in a professional community that will empower your career in energy. MORE FROM THIS

Read More »

Data center capacity continues to shift to hyperscalers

However, even though colocation and on-premises data centers will continue to lose share, they will still continue to grow. They just won’t be growing as fast as hyperscalers. So, it creates the illusion of shrinkage when it’s actually just slower growth. In fact, after a sustained period of essentially no growth, on-premises data center capacity is receiving a boost thanks to genAI applications and GPU infrastructure. “While most enterprise workloads are gravitating towards cloud providers or to off-premise colo facilities, a substantial subset are staying on-premise, driving a substantial increase in enterprise GPU servers,” said John Dinsdale, a chief analyst at Synergy Research Group.

Read More »

Oracle inks $30 billion cloud deal, continuing its strong push into AI infrastructure.

He pointed out that, in addition to its continued growth, OCI has a remaining performance obligation (RPO) — total future revenue expected from contracts not yet reported as revenue — of $138 billion, a 41% increase, year over year. The company is benefiting from the immense demand for cloud computing largely driven by AI models. While traditionally an enterprise resource planning (ERP) company, Oracle launched OCI in 2016 and has been strategically investing in AI and data center infrastructure that can support gigawatts of capacity. Notably, it is a partner in the $500 billion SoftBank-backed Stargate project, along with OpenAI, Arm, Microsoft, and Nvidia, that will build out data center infrastructure in the US. Along with that, the company is reportedly spending about $40 billion on Nvidia chips for a massive new data center in Abilene, Texas, that will serve as Stargate’s first location in the country. Further, the company has signaled its plans to significantly increase its investment in Abu Dhabi to grow out its cloud and AI offerings in the UAE; has partnered with IBM to advance agentic AI; has launched more than 50 genAI use cases with Cohere; and is a key provider for ByteDance, which has said it plans to invest $20 billion in global cloud infrastructure this year, notably in Johor, Malaysia. Ellison’s plan: dominate the cloud world CTO and co-founder Larry Ellison announced in a recent earnings call Oracle’s intent to become No. 1 in cloud databases, cloud applications, and the construction and operation of cloud data centers. He said Oracle is uniquely positioned because it has so much enterprise data stored in its databases. He also highlighted the company’s flexible multi-cloud strategy and said that the latest version of its database, Oracle 23ai, is specifically tailored to the needs of AI workloads. Oracle

Read More »

Datacenter industry calls for investment after EU issues water consumption warning

CISPE’s response to the European Commission’s report warns that the resulting regulatory uncertainty could hurt the region’s economy. “Imposing new, standalone water regulations could increase costs, create regulatory fragmentation, and deter investment. This risks shifting infrastructure outside the EU, undermining both sustainability and sovereignty goals,” CISPE said in its latest policy recommendation, Advancing water resilience through digital innovation and responsible stewardship. “Such regulatory uncertainty could also reduce Europe’s attractiveness for climate-neutral infrastructure investment at a time when other regions offer clear and stable frameworks for green data growth,” it added. CISPE’s recommendations are a mix of regulatory harmonization, increased investment, and technological improvement. Currently, water reuse regulation is directed towards agriculture. Updated regulation across the bloc would encourage more efficient use of water in industrial settings such as datacenters, the asosciation said. At the same time, countries struggling with limited public sector budgets are not investing enough in water infrastructure. This could only be addressed by tapping new investment by encouraging formal public-private partnerships (PPPs), it suggested: “Such a framework would enable the development of sustainable financing models that harness private sector innovation and capital, while ensuring robust public oversight and accountability.” Nevertheless, better water management would also require real-time data gathered through networks of IoT sensors coupled to AI analytics and prediction systems. To that end, cloud datacenters were less a drain on water resources than part of the answer: “A cloud-based approach would allow water utilities and industrial users to centralize data collection, automate operational processes, and leverage machine learning algorithms for improved decision-making,” argued CISPE.

Read More »

HPE-Juniper deal clears DOJ hurdle, but settlement requires divestitures

In HPE’s press release following the court’s decision, the vendor wrote that “After close, HPE will facilitate limited access to Juniper’s advanced Mist AIOps technology.” In addition, the DOJ stated that the settlement requires HPE to divest its Instant On business and mandates that the merged firm license critical Juniper software to independent competitors. Specifically, HPE must divest its global Instant On campus and branch WLAN business, including all assets, intellectual property, R&D personnel, and customer relationships, to a DOJ-approved buyer within 180 days. Instant On is aimed primarily at the SMB arena and offers a cloud-based package of wired and wireless networking gear that’s designed for so-called out-of-the-box installation and minimal IT involvement, according to HPE. HPE and Juniper focused on the positive in reacting to the settlement. “Our agreement with the DOJ paves the way to close HPE’s acquisition of Juniper Networks and preserves the intended benefits of this deal for our customers and shareholders, while creating greater competition in the global networking market,” HPE CEO Antonio Neri said in a statement. “For the first time, customers will now have a modern network architecture alternative that can best support the demands of AI workloads. The combination of HPE Aruba Networking and Juniper Networks will provide customers with a comprehensive portfolio of secure, AI-native networking solutions, and accelerate HPE’s ability to grow in the AI data center, service provider and cloud segments.” “This marks an exciting step forward in delivering on a critical customer need – a complete portfolio of modern, secure networking solutions to connect their organizations and provide essential foundations for hybrid cloud and AI,” said Juniper Networks CEO Rami Rahim. “We look forward to closing this transaction and turning our shared vision into reality for enterprise, service provider and cloud customers.”

Read More »

Data center costs surge up to 18% as enterprises face two-year capacity drought

“AI workloads, especially training and archival, can absorb 10-20ms latency variance if offset by 30-40% cost savings and assured uptime,” said Gogia. “Des Moines and Richmond offer better interconnection diversity today than some saturated Tier-1 hubs.” Contract flexibility is also crucial. Rather than traditional long-term leases, enterprises are negotiating shorter agreements with renewal options and exploring revenue-sharing arrangements tied to business performance. Maximizing what you have With expansion becoming more costly, enterprises are getting serious about efficiency through aggressive server consolidation, sophisticated virtualization and AI-driven optimization tools that squeeze more performance from existing space. The companies performing best in this constrained market are focusing on optimization rather than expansion. Some embrace hybrid strategies blending existing on-premises infrastructure with strategic cloud partnerships, reducing dependence on traditional colocation while maintaining control over critical workloads. The long wait When might relief arrive? CBRE’s analysis shows primary markets had a record 6,350 MW under construction at year-end 2024, more than double 2023 levels. However, power capacity constraints are forcing aggressive pre-leasing and extending construction timelines to 2027 and beyond. The implications for enterprises are stark: with construction timelines extending years due to power constraints, companies are essentially locked into current infrastructure for at least the next few years. Those adapting their strategies now will be better positioned when capacity eventually returns.

Read More »

Cisco backs quantum networking startup Qunnect

In partnership with Deutsche Telekom’s T-Labs, Qunnect has set up quantum networking testbeds in New York City and Berlin. “Qunnect understands that quantum networking has to work in the real world, not just in pristine lab conditions,” Vijoy Pandey, general manager and senior vice president of Outshift by Cisco, stated in a blog about the investment. “Their room-temperature approach aligns with our quantum data center vision.” Cisco recently announced it is developing a quantum entanglement chip that could ultimately become part of the gear that will populate future quantum data centers. The chip operates at room temperature, uses minimal power, and functions using existing telecom frequencies, according to Pandey.

Read More »

Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

Read More »

John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

Read More »

2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

Read More »

OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

Read More »