A recent survey by the Association of Accounting Technicians (AAT) finds that two in five people would consider a career in accountancy if AI could handle routine tasks. The research suggests automation may improve the profession’s appeal by shifting the focus from admin to strategic support.
Among current accountants, four in five agree that AI tools have made their roles easier by lightening administrative burdens, while 80% say it enables more problem-solving and advisory work. AI will enhance efficiency and accuracy, and allow finance professionals to concentrate on impactful tasks.
The survey reveals 42% of those who have worked in accounting say AI tools have been genuinely valuable; this rises to 55% for 25- to 34-year-olds. Most also support upskilling, with nearly 80% interested in developing AI and machine learning skills as part of workplace training.
Claire Bennison of AAT stresses that AI is not here to replace accountants but to empower them. She argues that building an AI-savvy workforce is essential in meeting skills shortages and modernising the finance profession.
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In mid-2025, the debate over AI in programming mirrors historic resistance to earlier breakthroughs in computing. Critics say current AI coding tools often slow developers and create overconfidence, while supporters argue they will eventually transform software creation.
The Register compares this moment to the 1950s, when Grace Hopper faced opposition to high-level programming languages. Similar scepticism greeted technologies such as C, Java, and intermediate representation, which later became integral to modern computing.
Current AI tools face limits in resources, business models, and capability. Yet, as past trends show, these constraints may fade as hardware, training, and developer practices improve. Advocates believe AI will shift human effort toward design and problem definition rather than manual coding.
For now, adoption remains a mixed blessing, with performance issues and unrealistic expectations. But history suggests that removing barriers between ideas and results catalyses lasting change.
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OpenAI has released reasoning-focused open-weight models in a strategic response to China’s surging AI ecosystem, led by DeepSeek’s disruptive efficiency. Unlike earlier coverage, the shift is framed not merely as competitive posturing but as a deeper recognition of shifting innovation philosophies.
DeepSeek’s rise stems from maximizing limited resources under the US’s export restrictions, proving that top-tier AI doesn’t require massive chip clusters. The agility has emboldened the open-source AI sector in China, where over 10 labs now rival those in the US, fundamentally reshaping competitive dynamics.
OpenAI’s ‘gpt-oss’ models, which reveal numerical parameters for customization, mark a departure from its traditional closed approach. Industry watchers see this as a hybrid play, retaining proprietary strengths while embracing openness to appeal to global developers.
The implications stretch beyond technology into geopolitics. US export controls may have inadvertently fueled Chinese AI innovation, with DeepSeek’s self-reliant architecture now serving as a proof point for resilience. DeepSeek’s achievement challenges the US’s historically resource-intensive approach to AI.
AI rivalry may spur collaboration or escalate competition. DeepSeek advances models like DeepSeek-MoE, while OpenAI strikes a balance between openness and monetization. Global AI dynamics shift, raising both technological and philosophical stakes.
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Fujitsu has officially embarked on developing a superconducting quantum computer capable of exceeding 10,000 physical qubits, aiming to complete construction by fiscal 2030. The system will feature approximately 250 logical qubits and leverage the firm’s internally developed ‘STAR architecture’ for early-stage fault-tolerant quantum computing.
Japan’s National Energy and Industrial Technology Organization (NEDO) supports the project under its Post‑5G Infrastructure development program through 2027, alongside collaboration with AIST and RIKEN. Development efforts concentrate on key scaling challenges: precise qubit production, interconnect wiring, dense cryogenic packaging, cost-effective control systems, and error-correction methods.
Beyond 2030, Fujitsu aims to fuse superconducting and diamond spin-based qubits to deliver a 1,000-logical-qubit system by fiscal 2035. The roadmap anticipates designing multi-chip quantum systems to push beyond current limitations in scale and reliability.
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Google has released its autonomous coding agent Jules for free public use, offering AI-powered code generation, debugging, and optimisation. Built on the Gemini 2.5 Pro model, the tool completed a successful beta phase before entering general availability with both free and paid plans.
Jules supports a range of users, from developers to non-technical staff, automating tasks like building features or integrating APIs. The free version allows 15 tasks per day, while the Pro tier significantly raises the limits, providing access to more powerful tools.
Beta testing began in May 2025 and saw Jules process hundreds of thousands of tasks. Its new interface now includes visual explanations and bug fixes, refining usability. Integrated with GitHub and Gemini CLI, Jules can suggest optimisations, write tests, and even provide audio summaries.
Google positions Jules as a step beyond traditional code assistants by enabling autonomy. However, former researchers warn that oversight remains essential to avoid misuse, especially in sensitive systems where AI errors could be costly.
While its free tier may appeal to startups and hobbyists, concerns over code originality and job displacement persist. Nonetheless, Jules could reshape development workflows and lower barriers to coding for a much broader user base.
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Colorado lawmakers face a dual challenge as they return to the State Capitol on 21 August for a special session: closing a $1.2 billion budget shortfall and revisiting a pioneering yet controversial law regulating AI.
Senate Bill 24-205, signed into law in May 2024, aims to reduce bias in AI decision-making affecting areas such as lending, insurance, education, and healthcare. While not due for implementation until February 2026, critics and supporters now expect that deadline to be extended.
Representative Brianna Titone, one of the bill’s sponsors, emphasised the importance of transparency and consumer safeguards, warning of the risks associated with unregulated AI. However, unexpected costs have emerged. State agencies estimate implementation could cost up to $5 million, a far cry from the bill’s original fiscal note.
Governor Polis has called for amendments to prevent excessive financial and administrative burdens on state agencies and businesses. The Judicial Department now expects costs to double from initial projections, requiring supplementary budget requests.
Industry concerns centre on data-sharing requirements and vague regulatory definitions. Critics argue the law could erode competitive advantage and stall innovation in the United States. Developers are urging clarity and more time before compliance is enforced.
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Over 1,000 employees are now based at Hubballi, where the new Living Lab delivers services across sectors such as manufacturing, healthcare, financial services, and space technology. Strategic ties with local academic institutions like IIIT Dharwad are intended to nurture future-ready talent close to operations.
Local leaders framed the centre as a corrective to past underutilisation concerns and a driver of industry-academia collaboration. By encouraging expansion to other districts, they set the tone for inclusive growth and long-term innovation across North Karnataka.
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Endex.ai has secured $14 million in funding to bring AI directly into Microsoft Excel. The funding round was led by the OpenAI Startup Fund, marking a significant moment for traditional tools in the business world.
Founded in 2022 by Tarun Amasa and Kevin Yang, the startup has spent the past year collaborating quietly with financial institutions to refine its product.
Now available to the public through limited invites, the tool embeds itself within Excel and helps users manage tasks like financial modelling, data cleanup, and detailed analysis (without switching applications).
Unlike broader AI tools, Endex has been designed specifically for finance professionals. It understands financial terminology, adapts to user habits, and references trusted data sources such as SEC filings, CapIQ, and earnings reports.
The company describes its product as Excel-native, aiming to enhance rather than replace a tool already deeply integrated into finance work.
With the new funding, Endex plans to expand development and scale its reach. The AI agent already works on both Mac and Windows, and its frictionless interface is proving attractive in a field where saving time and improving accuracy can make a substantial difference.
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NVIDIA has publicly rejected calls to embed kill switches or backdoors in its AI chips amid growing political pressure. The statement follows proposals from US lawmakers and accusations by Chinese authorities.
Chief Security Officer David Reber Jr. said any such backdoor would endanger global digital infrastructure and open doors for hackers. He reaffirmed NVIDIA’s commitment to fixing vulnerabilities, not creating them.
The controversy arises as the chipmaker navigates strict US export controls while maintaining its foothold in China with the H20 chip. A Chinese agency recently claimed these chips already contain hidden controls.
Reber distinguished transparent, user-controlled tools like remote wipe from covert backdoors, arguing they serve customers without risking the system integrity of the chips.
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Beijing United Family Hospital and Alibaba DAMO Academy have launched a joint effort to bring advanced AI screening into clinical use.
Their flagship project uses a plain CT scan combined with DAMO Academy’s multi-condition detection AI to facilitate early identification of gastrointestinal cancers and chronic diseases.
The technology has already internationally earned the FDA’s ‘Breakthrough Device’ designation. Collaborators stress that combining AI with established international standards supports more accurate, patient-centred care.
