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Combination pairs Flowie’s autonomous finance and procurement agents with Sovos’ global tax compliance and regulatory data, giving enterprises agentic business processes that are compliant by design.
Bain & Company's Global Technology Report warns that the AI industry faces a yearly funding gap of $4.2 trillion by 2031 due to massive infrastructure investments. Spending on AI infrastructure is set to explode to $1.5 trillion annually within five years, including new data centers and upgrades. For profitability, these costs should be at most a quarter of total revenue, implying AI-related revenue must reach $6 trillion by 2031. However, current consumer products and ad revenue may only generate $200-400 billion, with enterprise contributions up to $1-1.4 trillion. Bain suggests new revenue sources like search, advertising, AI robots, autonomous vehicles, and devices could contribute $1.5 trillion, but the remaining $2.7 trillion requires yet-to-be-developed innovations like AI drug discovery or materials science. The report criticizes overbuilding infrastructure before demand materializes.
Britain's Ministry of Defence has partnered with Avengers AI Labs, Ukraine's central AI platform for training combat drone algorithms, granting British companies first-time access to a dataset of over five million annotated battlefield images. This marks the first time Ukraine has opened its AI training infrastructure to a foreign government. The data, anonymized and delayed, enables development of autonomous systems that operate without GPS or radio links, countering Russian electronic warfare. British firms will submit proposals within a secure perimeter, with pilot projects planned under guardrails for data sovereignty and IP. Ukraine's Defense Minister Mykhailo Fedorov frames this as a strategic move to leverage its 'globally unique' combat data in technological competition with Russia. European defense tech firms like Quantum Systems and Helsing are likely beneficiaries, as they seek real-world data for their drones.
WPP Media has been recognized as the industry leader in H1 2026 new business wins and retentions according to the latest COMvergence New Business Rankings. Additionally, DoorDash has appointed WPP Media as its first global media partner.
DataArt introduces Domain Deployed Engineering™, a new service offering for industry-specific, outcome-based AI deployment. The company also announced partnerships with OpenAI and Travelport, and a GDS modernization project with zero downtime.
This opinion piece draws parallels between the automotive safety movement led by Ralph Nader and the current state of AI. It argues that AI companies, like Detroit automakers in the 1960s, are blaming users ('prompting') for product failures rather than redesigning the interface. The author calls for 'crash tests' for AI interfaces, measuring 'wrong-answer survival rates', and emphasizes the importance of explainability as a guardrail. It highlights recent legal developments, including EU regulations on AI transparency and liability, and California's CCPA updates. The piece praises Anthropic's and OpenAI's commitment to third-party evaluators but questions whether safety will hold up as an economic decision. Ultimately, it urges designers and researchers to take responsibility for the 'second collision' – how the interface handles AI errors and communicates them to users.
In an industry first, Ant International launched a full stack of AI-native solutions for payment, account, FX, treasury and growth operations for global businesses.
According to a report by Rhodium Group, Chinese AI models collectively generate only about 10% of the revenue earned by OpenAI and Anthropic. Based on annual recurring revenue (ARR) estimates, DeepSeek's ARR is $500 million, MiniMax's is $800 million, Moonshot's is $1 billion, and Z.ai's is $1.8 billion. In comparison, OpenAI's ARR is $40 billion and Anthropic's is $65 billion. The report highlights that Chinese AI startups like Moonshot and DeepSeek have high valuation-to-revenue ratios (50x and 163x respectively) compared to U.S. counterparts (34x for OpenAI, 21x for Anthropic), suggesting exorbitant valuations. Z.ai raised its year-end ARR forecast to $3 billion. The report notes that Chinese AI labs are exploring ways to monetize open-source models and that state-affiliated sources provide over 60% of equity investment in Chinese AI chips and servers. Logan Wright of Rhodium Group emphasized the financing gap makes scaling difficult for Chinese frontier AI labs.
Salesforce CEO Marc Benioff joined a growing number of tech leaders in urging the AI industry to act responsibly. Speaking at Dreamforce 2026, he drew parallels between AI and social media, cautioning against repeating the mistakes that led to societal harms. Benioff's comments follow a weekend essay by Anthropic CEO Dario Amodei calling for a slowdown in frontier AI development to allow safety measures to catch up. Despite the concerns, Salesforce has deep ties to AI, including a partnership with Anthropic through 'Claudeforce' announced last month. Benioff stopped short of endorsing a slowdown, emphasizing instead the ethical responsibility of AI companies. The debate has impacted stock markets, with enterprise software stocks rebounding as investors reconsider AI's transformative potential.
President Donald Trump used social media to oppose calls from AI industry leaders for a slowdown in model development and new federal regulations. This creates a challenge for companies like Anthropic and OpenAI, which are trying to balance rapid growth with safety concerns. Anthropic CEO Dario Amodei proposed a plan for third-party evaluators to audit AI models, citing fears of catastrophic risks. Trump and his former AI czar, David Sacks, criticized such proposals as regulatory capture, insisting the industry should self-regulate or that no regulation is needed. The article highlights the tension between the U.S. government's pro-development stance and the growing AI safety movement, with experts arguing that third-party evaluations are insufficient without enforceable government oversight.
Microsoft has published a provisional code of conduct imposing restrictions on its future artificial intelligence models, following recent calls from leaders at Anthropic and OpenAI to slow the pace of frontier development. The guidelines aim to ensure AI operates in service of people, avoiding sycophantic behavior, dependence, and concealment of reasoning. Microsoft seeks external input before finalizing rules that will shape development starting in 2027. The announcement follows a researcher's resignation from Anthropic, citing risks of superintelligence, and comes as lawmakers push for greater AI safeguards.
OpenAI CEO Sam Altman has publicly endorsed a slowdown in frontier AI development, aligning with Anthropic CEO Dario Amodei and Elon Musk. In a series of posts on X, Altman welcomed a federal framework for safety requirements and proposed independent evaluators with 'employee-like access'. He warned of two catastrophic scenarios: losing control to AI and power concentration. The calls follow an Anthropic researcher's resignation citing existential risks and have spooked AI investors, causing stock declines. President Donald Trump dismissed the warnings, emphasizing U.S. competitiveness against China. Amodei's three-step plan includes external evaluators, common safety standards, and global coordination, but faces challenges with China's opposition.
Washington is under pressure to regulate AI after leading companies like Anthropic, OpenAI, and xAI called for slowing development, following a researcher's resignation and stark warnings. Lawmakers, including Democrats, are urging Congress to return and pass safeguards, while House Speaker Mike Johnson resists emergency action, citing competition with China. Proposed measures include transparency, kill switches, and antitrust waivers. With midterms approaching, the urgency intensifies, but bipartisan consensus remains elusive. The FRONTIER Act and Senate efforts represent limited progress.
Suno announces the launch of v6, a new generation of music models developed in partnership with the music industry, along with a new partnership with Believe and TuneCore.
Nokia launches industry-first initiative to help operators accelerate network innovation in the AI era (September 08, 2026). Also new: Nokia opens R&D center in Saudi Arabia, and Indosat, Ooredoo Group, Nokia, and NVIDIA launch Zankore AI infra platform.
Tim Cook's retirement as Apple CEO underscores a leadership vacuum in Silicon Valley, with few unifying figures capable of addressing industry-wide challenges. The piece highlights calls from tech leaders at the G20 Innovation Ministerial for lax AI regulations, the concentration of AI enterprise revenue among power users, and the aftermath of the OpenAI/Hugging Face hack. It criticizes prominent figures like Mark Zuckerberg, Elon Musk, and Jeff Bezos for self-interest, while noting exceptions like Bill Gates. The article suggests that Apple's new CEO, John Ternus, faces the dual challenge of innovation and political acumen. It also discusses the need for independent AI auditing and the potential for regulatory capture, referencing proposed organizations and the METR/Redwood Research investigation.
MILPITAS, Calif. – September 2, 2026 –SonicWall today released its 2026 Education Protect Brief, a vertical-specific companion to the SonicWall 2026 Cyber Protect Report. The report found&n...
A Retail-News article (29 Aug 2026) reports on the ONEKEY “IoT & OT Cybersecurity Report 2026”, finding many German companies are insufficiently prepared for the EU Cyber Resilience Act (CRA). The study shows significant gaps in awareness, with 45% of firms little or not familiar with CRA requirements, limited knowledge of the first reporting deadline (11 September 2026), and slow progress on risk management, documentation, SBOMs, security updates and 24-hour incident reporting. The report warns that AI-driven attacks and the complexity of software transparency increase urgency. Many companies aim for full compliance by December 2027 but need to accelerate implementation.
OpenAI announced the first results from its Jalapeño model, demonstrating industry-leading speed and efficiency in AI inference.
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