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OpenAI: 99.8% of output tokens come from agents by 2026
AI News & Trends

OpenAI: 99.8% of output tokens come from agents by 2026

A study suggests that by 2026, almost all work done by OpenAI employees may go through automated agents, with 99.8% of output tokens coming from these systems. The use of agents started with engineers, but quickly spread to other departments like legal and finance, where most output now also comes from agents. Employees appear to trust agents with complex and lengthy tasks, and many run several agents at once. The study notes that knowing the business is more important for using agents well than knowing how to code. However, there may be concerns about data security and system complexity as agent use increases.

Study: AI-native firms boost revenue 1.9X, cut capital needs 39.5%
AI News & Trends

Study: AI-native firms boost revenue 1.9X, cut capital needs 39.5%

A study by Harvard and INSEAD suggests that AI-native firms may perform much better in revenue, capital efficiency, and customer growth compared to others. Startups that reorganized their work around AI reported 1.9 times the revenue and used 39.5 percent less outside capital than those that did not. These firms also completed more tasks and were more likely to gain paying customers. The results come from three months of tracking 515 startups, but the authors note that long-term effects are still unknown.

Amazon-Anthropic Deal Exposes AI Vendor Lock-In Risks for Companies
Business & Ethical AI

Amazon-Anthropic Deal Exposes AI Vendor Lock-In Risks for Companies

The Amazon-Anthropic contract changes show that companies may face higher costs and become more dependent on specific AI vendors. Pricing changes and special hardware needs might make it harder for customers to switch providers. Experts suggest using contracts that protect customer data and demand open formats for models to help avoid being locked in. Separating data, control, and compute in technical design may also make it easier to switch vendors. This story suggests companies may face sudden price changes, but careful contracts and flexible systems might help reduce risks.

Nadella urges firms to build own AI models, 76% still buy
AI News & Trends

Nadella urges firms to build own AI models, 76% still buy

Satya Nadella suggests companies should build their own AI models instead of relying on outside vendors, saying that renting models may risk losing a competitive edge. However, market studies show that by 2025, 76% of firms still use external AI services instead of building from scratch. Reasons for renting include high costs, fast changes in technology, and complex integration. Microsoft appears to be making its cloud service Azure neutral, letting customers run different models while still using Microsoft's infrastructure. This situation may mean companies are moving toward a mix of using their own data with outside AI tools as a practical solution.

SaaS 'Max Bill' Guarantee Caps Enterprise AI Spending Ahead of $2 Trillion Market
AI News & Trends

SaaS 'Max Bill' Guarantee Caps Enterprise AI Spending Ahead of $2 Trillion Market

The SaaS 'Max Bill' Guarantee aims to limit how much companies spend on AI each month as costs for language models and GPUs may rise sharply and unpredictably. Experts suggest AI spending could reach $2 trillion by 2026, and many companies reportedly went over their budgets in 2025. The Max Bill service may help by offering a set maximum bill, monitoring usage in real time, switching to cheaper models if needed, and giving refunds if spending goes over the limit. No major cloud provider currently promises this type of total cost cap, so this new guarantee could fill a gap for businesses worried about unexpected AI costs.

New AI governance checklist updates for 2026
Business & Ethical AI

New AI governance checklist updates for 2026

The new AI governance checklist for 2026 gives teams a simple way to spot and respond to major risks. It highlights signals like legal changes, price spikes, or new buyer requirements, and assigns who should act and what to do next. Laws like the Colorado AI Act may require companies to pause new features and prove fairness before selling to enterprise customers. The checklist may help teams respond quickly to problems, like cost changes or fairness test failures, by following pre-set actions. The list is reviewed each month so it can stay up to date as new risks appear.

AWS Invests $1 Billion to Embed AI Engineers with Enterprise Clients
AI News & Trends

AWS Invests $1 Billion to Embed AI Engineers with Enterprise Clients

Amazon Web Services has announced a $1 billion plan to place AI engineers inside customer teams for 45-day projects, aiming to speed up AI deployments from months to days. The program may suggest a shift for AWS from just providing infrastructure to working more closely as a partner. Early adopters appear to include organizations in regulated or data-heavy industries, like the NBA and NFL. Analysts note this effort might make customers rely more on AWS, but the long-term effects on market competition are still unclear.

Ireland reviews whiskey rules, allows peated Pot Still and new grains
AI News & Trends

Ireland reviews whiskey rules, allows peated Pot Still and new grains

Ireland has started a public consultation to review its Irish whiskey rules, asking for feedback about possible changes in how whiskey is made and labelled. Some proposals may allow more grains in Pot Still whiskey, permit peated Pot Still types, and use different kinds of wooden casks for aging. There is no clear government position yet, and the review is open until 4 September 2026. Some people think these changes might honor old recipes and give producers more options, while others worry they could affect the whiskey's image. The department will summarize opinions after the deadline and may send the new rules to the EU for approval.

Anthropic's AWS Spend Highlights AI Vendor Lock-In Risks
Business & Ethical AI

Anthropic's AWS Spend Highlights AI Vendor Lock-In Risks

Anthropic's large spending commitment to AWS may show the risks of getting locked in with one AI cloud provider, especially after Amazon changed its billing model and costs reportedly increased. Legal teams may use contracts to keep exit options open, keep control of data, and limit sudden price hikes, while new rules in the EU could require easier switching between providers. Architecture teams suggest building systems that work with many AI models so companies can switch providers more easily if needed. These steps may not remove all risks, but they help companies stay flexible if costs or rules change suddenly.

Sweet Proteins Expand Beyond Lab, Challenge Sugar Dominance
AI News & Trends

Sweet Proteins Expand Beyond Lab, Challenge Sugar Dominance

Sweet proteins like brazzein, thaumatin, and sweelin are no longer just research projects; they are starting to be used in food, possibly challenging sugar and artificial sweeteners. These proteins can be very expensive compared to sugar, but their extreme sweetness may help close the price gap if production costs drop. Forecasts for market growth are mixed, and early trials by big food brands suggest some industry interest. If prices fall further and regulations stay friendly, sweet proteins might become more common in products, but this is still uncertain. Companies may try different strategies, such as mixing sweet proteins with sugar or other sweeteners, to help them gain acceptance.

US Expands AI Export Controls to Model Weights, Not Just Chips
AI News & Trends

US Expands AI Export Controls to Model Weights, Not Just Chips

The US has expanded export controls from just computer chips to now include AI model weights, which may be seen as important as missile software. New rules suggest that any powerful closed-weight AI model trained with enough computation needs a license to be sent out of the country. There are three vetting levels for different countries: close allies have fewer restrictions, most other countries face more checks, and adversaries are mostly denied. Labs and companies are advised to track their models, check who can access them, and keep records to follow the law. This may mean a shift toward keeping AI models inside friendly countries' cloud systems.

Executives adopt AI for growth, not just cost-cutting
Business & Ethical AI

Executives adopt AI for growth, not just cost-cutting

Executives are encouraged to use AI for business growth, not just for cutting costs. Experts suggest that focusing only on savings or ignoring AI can lead to missed opportunities and higher risks. Instead, leaders might achieve better results by investing in specific high-value AI projects and tracking revenue-related outcomes. Sharing early success stories and showing that AI can help careers may help teams become more open to AI. Setting up strong checks for errors is also important to keep AI efforts on track and credible.

Warner's AI Agent Bill aligns US regulations with EU AI Act
Business & Ethical AI

Warner's AI Agent Bill aligns US regulations with EU AI Act

Sen. Warner's AI Agent Bill may bring US rules closer to the EU AI Act, focusing on logging, consent, and human oversight. The bill could require companies to keep logs for six months, tell users when an AI agent is used, and report incidents quickly, similar to EU rules. There might also be new requirements for agent identity certificates, but these are still being developed. Experts suggest that businesses who prepare early could avoid higher costs and be ready for global regulations. Some estimates suggest that up to 40 percent of AI agent projects could be stopped by 2027 due to compliance problems.

Z.ai's GLM-5.2 open model benchmarks near Opus, exceeds GPT-5.5
AI News & Trends

Z.ai's GLM-5.2 open model benchmarks near Opus, exceeds GPT-5.5

Z.ai's GLM-5.2 model may perform almost as well as Claude Opus 4.8 and appears to do better than GPT-5.5 on some coding benchmarks, according to June 2026 reports. The model has open MIT-licensed weights and can handle up to one million tokens, which suggests developers have more control and flexibility. Industry data suggests the choice of model may now depend more on cost and control instead of just accuracy. Adoption of GLM-5.2 may be growing in mid-sized companies, but some large enterprises still seem cautious, especially around compliance and the use of Chinese models. Z.ai's recent funding and public plans indicate they will keep improving the model and may try to close the small gap with Opus in future versions.

Nadella Urges Companies: Build Your Own AI Models by 2026
Business & Ethical AI

Nadella Urges Companies: Build Your Own AI Models by 2026

Satya Nadella, Microsoft's CEO, suggests that companies should build their own AI models by 2026 instead of relying on rented ones. He warns that using outside providers could risk losing a company's competitive advantage. Nadella says owning models and using unique company data may help businesses stand out, while outsourcing might make firms too dependent on vendors. Some examples appear to show that custom AI models can bring big benefits and savings. However, fully renting AI could lead to legal, operational, and skill loss risks, according to several analysts.