AI firms

J.P. Morgan examines how embedded finance, where financial services are built directly into non-financial platforms, is adapting its security tools as fraudsters use artificial intelligence to craft more convincing scams and automated attacks. The piece highlights that as payments and lending move into everyday apps, providers must deploy AI-driven defenses of their own to keep pace with increasingly sophisticated fraud tactics.

OpenAI's human rights lead says the possibility of militaries misusing artificial intelligence 'keeps me up at night', in comments published by Fortune. The remarks highlight growing tension between AI companies' safety commitments and expanding defense applications, as governments worldwide move to adopt advanced AI tools.

Commentators are arguing that incidents such as the reported OpenAI–Hugging Face hack highlight the need for strict corporate liability in AI. The argument: if a company's AI system leaks customer data or causes other harm, the company behind it should pay for the damage. Supporters say a 'you break it, you pay it' rule would give firms a strong incentive to secure AI systems before deployment.

Campaigners opposed to artificial intelligence companies are escalating from petitions and letter-writing to direct action, adopting the slogan 'pull the plug'. The shift targets AI firms over concerns ranging from environmental costs of data centres to job losses and safety. Discussion online centres on whether such tactics will change corporate behaviour or alienate the public, with reactions split between sympathy for the cause and criticism of disruption.

Google and Constellation Energy have agreed to a sweeping nuclear power deal, according to the Wall Street Journal. The agreement is part of tech companies' broader push to secure large volumes of reliable, low-carbon electricity to power energy-hungry data centers and artificial intelligence operations. The deal adds momentum to a wave of corporate interest in nuclear energy, including restarted reactors and new small modular projects across the United States.

The Federal Trade Commission has opened investigations into OpenAI, Anthropic and other artificial intelligence companies over potential risks posed by their products. The probe focuses on consumer protection concerns related to how AI tools are developed and marketed. The move signals growing regulatory scrutiny of leading AI firms in the United States and is drawing wide attention in the tech industry.

German AI company Aleph Alpha has published a technical report on Kolibri, its latest model release. The document, available as a PDF download from the company's website, is being circulated among technology readers. Details of the model's capabilities and benchmarks are contained in the report itself, and reactions so far have focused on what the release signals for the European AI firm.

Investors are weighing Advanced Micro Devices against Marvell Technology as the better AI chip stock for 2026. The comparison focuses on which company is better positioned to profit from surging demand for artificial intelligence hardware, with analysts and retail investors debating each firm's growth outlook, valuation, and place in the AI supply chain.

French AI startup Mistral has released a new AI model that it claims matches the best open-source systems coming out of China. The announcement positions Mistral as a competitive European player in open AI models, as Chinese firms like DeepSeek gain attention for offering high-performing open systems. Mistral says the new release closes the performance gap with its leading rivals.

Companies worldwide continue to struggle to measure the return on their artificial intelligence investments, according to Global Finance Magazine. Despite heavy spending on AI, most firms lack clear metrics to quantify gains, making ROI one of the industry's biggest blindspots as pressure mounts to justify AI budgets.

The CEO of marketing technology firm Zeta Global said the company never sells user data to other large language model developers, and instead uses the data it collects to train its own AI models. The remarks address growing scrutiny over how data-driven marketing firms handle consumer information amid the AI boom, drawing attention to the company's in-house approach.

Lambda, a startup that provides AI computing infrastructure, is raising $4 billion ahead of a planned initial public offering. The funding round is reportedly one of the larger private raises in the AI infrastructure space, signaling continued heavy investor demand for companies supplying the computing power behind AI models. The IPO plans make Lambda one of several AI-focused firms moving toward the public markets.

Cybersecurity firm CrowdStrike has announced a startup accelerator program aimed at fostering companies that tackle AI-related security threats. The initiative will support early-stage startups developing defenses against risks created or amplified by artificial intelligence. The move reflects growing concern across the security industry that AI is expanding the attack surface for businesses, and signals CrowdStrike's intent to shape the emerging ecosystem of AI-focused cyber defense.

Startup Mirror Particle is developing a 'world model' of human behavior, according to TechCrunch. The company aims to model how people act and predict behavior, an approach gaining traction among AI firms seeking systems that understand real-world dynamics rather than just language. Few further details were available in early coverage, and the report is circulating among AI and startup watchers.

Foundations, a startup hub, has launched a new service that connects businesses with AI founders available for hire. The offering aims to help companies tap into AI talent without building teams in-house. It reflects growing demand for experienced AI builders as firms across industries race to add artificial intelligence capabilities.

AI-computing startup Lambda is raising $4 billion in what is reported to be its final funding round before a planned initial public offering. The company, which provides GPU cloud services powering artificial intelligence workloads, is positioning itself among the infrastructure players benefiting from surging demand for AI compute. The raise signals continued heavy investor appetite for AI hardware and cloud firms ahead of prospective public listings.