AI is increasingly taking over the early stages of hiring, with 89% of UK recruiters planning to use it more in the recruitment process this year.
For graduates like Bhuvana Chilukuri, a third-year business student at Queen Mary University London who has applied for over 100 roles without a single offer, this means facing automatic CV screening and AI video interviews, with some rejections arriving in under two minutes.
The scale of the problem is significant on both sides. Denis Machuel, CEO of Adecco, one of the world’s largest recruitment specialists, noted that candidates now need to send an average of 200 applications to receive a single job offer.
Meanwhile, firms like law firm Mishcon de Reya received 5,000 applications for just 35 roles in its last hiring round, a volume driven in part by candidates using AI to write and mass-submit applications, prompting employers to deploy AI to filter them out.
Supporters of AI hiring tools argue they can reduce human bias and deliver more consistent decisions. But critics warn the process strips candidates of their personality and humanity, with applicants describing feeling ‘robotic’ and ‘monotone’ while recording answers into a screen with no human interaction.
Machuel acknowledged the tension, calling for AI and human judgement to be combined at the right moments in the process, arguing that balance is the only way to break what he described as a growing ‘arms race.’
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OpenAI will begin rolling out ChatGPT ads to Free and Go users in the United States in the coming weeks, marking a significant shift in how the company monetises its flagship AI product.
The ads will be shown to logged-in adult users on lower-tier plans, while paid subscriptions, including Plus, Pro, Business, Enterprise, and Education, will remain ad-free. The rollout in the US positions ChatGPT ads as a tiered feature, separating premium experiences from ad-supported access.
To support the initiative, OpenAI has integrated advertising technology firm Criteo into its pilot programme, enabling ad buying and more targeted placements. Advertisers are reportedly being offered entry commitments ranging from $50,000 to $100,000, reflecting early efforts to build a structured advertising marketplace.
The company has also launched a dedicated advertiser page that presents ChatGPT as a platform for reaching users during active research and decision-making. ChatGPT ads are being framed as part of conversational discovery, with OpenAI advising brands to provide multiple variations of creative content to improve performance.
The rollout comes as OpenAI seeks to diversify revenue amid rising compute costs and intensifying competition. Alongside subscriptions and API services, ChatGPT ads are expected to play an increasingly important role in supporting the platform’s long-term business model.
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Microsoft is scaling back the presence of Copilot across Windows 11, signalling a shift toward a more selective and user-focused approach to AI integration.
Microsoft said it will reduce Copilot features in several built-in applications, including Photos, Widgets, Notepad and the Snipping Tool. The company described the move as part of a broader effort to integrate AI only where it delivers clear value to users.
The decision follows growing concerns about ‘AI bloat’ and user trust, with recent research indicating rising scepticism around AI. Microsoft is responding by prioritising more practical and reliable use cases rather than widespread deployment.
The change also aligns with earlier adjustments to Copilot plans, including shelving some system-level integrations and delaying features such as Windows Recall due to privacy and security concerns. Even after launch, vulnerabilities in Recall have continued to surface, reinforcing the need for caution.
Beyond AI, Microsoft is introducing several usability improvements to Windows 11. These include allowing users to reposition the taskbar, enhancing File Explorer performance, refining Widgets, and giving users greater control over system updates.
The update signals a broader recalibration, as Microsoft balances innovation with user expectations, aiming to deliver AI features that are both useful and trusted within everyday computing environments.
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A global survey by Anthropic of over 80,000 Claude users across 159 countries highlights how AI is increasingly shaping work, learning, and everyday life. Respondents cite benefits in productivity, skill-building, and task management, with AI helping save time and reduce mental effort.
Users highlight AI’s role in learning and personal growth, helping them access knowledge, gain confidence, and pursue careers or entrepreneurship previously out of reach. The study also shows AI assisting in organisation, research synthesis, and emotional support.
Alongside these benefits, concerns remain widespread. Reliability issues, job disruption, cognitive dependence, and privacy risks are frequently cited.
Many users describe navigating both advantages and potential harms, reflecting Anthropic’s ‘light and shade’ concept: AI can empower, yet create new risks and expectations.
Regional views differ: South America, Africa, and parts of Asia see AI as an opportunity, while Europe and the US focus on complexity, workload, and economic impact.
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A new wave of AI development is increasingly relying on real-world human behaviour, with DoorDash moving to tap its gig workforce to generate training data for robotics systems.
DoorDash has launched a standalone app called Tasks, allowing couriers to earn money by recording themselves performing everyday activities such as folding clothes, washing dishes or making a bed. The collected data is used to train AI and robotics models to understand physical environments and human interactions better.
The move reflects a broader shift in AI training, where companies are seeking physical, real-world data rather than relying solely on text and images. Such data is essential for building systems capable of performing tasks in dynamic environments, including humanoid robots and autonomous machines.
Other companies are pursuing similar strategies. Uber and Instawork have tested gig-based data-collection models, while robotics startups are using wearable devices, such as gloves and head-mounted cameras, to capture detailed motion data for training.
The Tasks app is currently being rolled out as a pilot, with DoorDash planning to expand the types of available assignments over time. Some tasks may also be integrated into the main Dasher app, including activities that support navigation or assist autonomous delivery systems.
As competition intensifies, access to large-scale physical data is becoming a critical advantage. DoorDash’s approach highlights how gig-economy platforms are increasingly integrated into the development of next-generation AI systems.
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A US senator has introduced a draft framework to establish nationwide AI rules, with a focus on child safety and copyright protection. The proposal seeks to create a unified federal approach to replace state laws that differ.
The plan would require developers to implement safeguards for minors, including age verification, data protection and mechanisms to report harm. Companies could also face legal action over failures linked to AI system design.
Copyright measures include new standards for identifying AI-generated content and preventing tampering. Authorities would also develop cybersecurity guidelines to support the transparency and authenticity of content.
Debate over this in the US continues over the balance between regulation and innovation, with some stakeholders warning of legal and economic risks. Discussions between lawmakers and the administration are expected to shape a final framework.
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AI adoption is accelerating across UK businesses, with 78% now using the technology in some capacity, rising to 85% among mid-sized organisations. A further 14% are exploring or planning implementation by 2026, reflecting the continued momentum behind AI adoption.
Despite widespread use, tangible results remain limited. Just 31% of UK businesses report a positive return on investment, while 18% say their AI initiatives have failed to deliver expected benefits. Another 16% indicate it is still too early to assess outcomes, highlighting the long lead times often associated with AI deployments.
A major issue lies in defining success. Only 41% of organisations using AI say they have a clear understanding of what success looks like, suggesting that AI adoption is often not matched by clear strategic planning, even among mid-sized firms, the most active adopters; fewer than half can articulate measurable goals.
The findings suggest that rapid uptake has outpaced organisational readiness. Many businesses are deploying AI tools without defining how they fit into workflows, what decisions they are meant to support, or whether the goal is efficiency, cost reduction, or growth.
For AI adoption to translate into real business value, companies will need stronger governance, clearer objectives, and measurable success criteria. Without that foundation, AI risks remaining an expensive experiment rather than a driver of long-term transformation.
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A shift toward consolidation is underway, with OpenAI planning to merge its ChatGPT app, Codex platform and browser into a single desktop ‘superapp’ designed to simplify the user experience.
OpenAI said the move aims to streamline its product ecosystem after a period of rapid expansion that resulted in multiple standalone tools. The company is now prioritising a more unified approach, particularly as it intensifies competition with rivals such as Anthropic in enterprise and developer markets.
The planned superapp will focus heavily on ‘agentic’ AI capabilities, enabling systems to operate autonomously across tasks such as writing software, analysing data and managing workflows. The goal is to create a central platform where AI can act as a collaborative assistant across the full productivity stack.
Internal leadership changes are also supporting the transition. Chief of Applications Fidji Simo will oversee the initiative, working alongside President Greg Brockman, as the company restructures teams to align around a single core product. Executives have emphasised the need to reduce fragmentation and improve product quality.
The shift comes as OpenAI faces increasing pressure from competitors that have gained traction with enterprise customers. Anthropic, in particular, has seen success with its developer-focused offerings, prompting OpenAI to refocus on business users and revenue growth.
Over the coming months, the company plans to expand Codex with broader productivity features before integrating ChatGPT and its browser into the unified platform. While the mobile ChatGPT app will remain separate, the broader strategy signals a move toward a more cohesive and scalable AI ecosystem.
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An ambitious target to generate $100 billion in annual cloud and AI revenue within five years has been set, as Alibaba seeks to counter slowing growth in its once-dominant e-commerce business.
The push follows a sharp deterioration in financial performance, with quarterly earnings plunging and revenue growth missing expectations. The results underscore growing urgency within the company to extract meaningful returns from its AI investments, which have so far required heavy capital outlays.
Central to the strategy is a shift toward monetisation, with the rollout of agentic AI services such as Wukong and price increases of up to 34% across cloud and storage products. Alibaba is positioning its AI and cloud division as its primary growth engine, aiming to replicate the momentum seen in recent quarters, when AI-related revenues expanded by triple digits.
However, competitive pressures are intensifying. Domestic rivals including Tencent are leveraging vast ecosystems such as WeChat to gain an advantage in agentic AI, while a new wave of players like DeepSeek, MiniMax and Zhipu are offering low-cost, open-source models that compress margins across the industry.
At the same time, Alibaba faces structural challenges beyond AI. Core businesses such as e-commerce and food delivery remain under pressure from aggressive competition, while rising operational costs – subsidies and promotions to attract users – continue to weigh on profitability.
Leadership uncertainty and ongoing restructuring add further complexity. With major investment commitments exceeding $50 billion and increasing competition from both domestic and global players, Alibaba’s ability to execute on its AI strategy will be critical in determining whether it can sustain long-term growth and regain market confidence.
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The FBI’s New York Field Office has warned that fraudulent tokens impersonating the agency are being airdropped to Tron wallets, with recipients threatened with ‘total block’ of assets unless they submit personal information via phishing sites.
At least 728 wallets were affected, some holding over US$1 million in USDT, when the warning was issued on 19 March.
The scam warns users that their wallets are ‘under investigation’ and instructs them to complete an online anti-money-laundering form. The FBI urged crypto holders to ignore these messages and avoid entering any personal data on linked websites.
Attackers exploit Tron for its fast and low-cost transactions, using bots to distribute tokens widely and generate spoofed addresses.
Impersonation scams have surged dramatically in 2025, with Chainalysis reporting a 1,400% year-over-year increase. Total crypto fraud losses are estimated at US$17 billion, with AI-assisted scams proving far more profitable than traditional schemes.
The FBI previously ran a blockchain sting using Ethereum tokens, resulting in indictments and the seizure of millions in assets.
The bureau encourages anyone who receives the fake FBI tokens to report the incident to the Internet Crime Complaint Centre to help combat ongoing crypto fraud.
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