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India Poised to Accept 10–15% Tariff in Interim Deal as US Deadline Nears

India is reportedly preparing to accept a 10–15% tariff on select exports under an interim trade agreement with the United States, a move positioned ahead of looming duties and firmly ahead of tariffs faced by other nations such as Indonesia and Vietnam. New Delhi views this as a pragmatic compromise, aiming to secure favourable terms while mitigating the risk of steep duties encroaching on critical export segments.

Negotiations, now in advanced stages, are focused on slicing tariffs on a carefully selected range of Indian exports—likely machinery, chemicals, pharmaceuticals, and vehicles—while shelving politically sensitive sectors like dairy and wheat from concessions. The agreement is being framed as a “mini-deal” that avoids broad agricultural or market access stipulations but delivers immediate relief for key industrial output. A government official noted the US has “made it clear… the 10% base tariff will remain,” suggesting India may need to hold firm around duties in the low-teens rather than the zero-tariff outcome originally hoped for.

India is targeting an interim deal ahead of the US deadline—set for early August—after which reciprocal tariffs could leap to 26–27% on imports from countries lacking trade arrangements. A deal before July 31 would shield Indian exporters from that sharper escalation. A senior Indian delegation has been conducting intensive discussions in Washington, and the absence of a blanket tariff notice from the US suggests that both governments see rapid resolution as attainable.

While the deal reflects compromise, it also offers diplomatic reassurance. By securing a tariff range below that agreed by Indonesia (19%) and Vietnam (20%), India gains a relative competitive advantage. Additionally, the agreement maintains option value for a broader pact later in 2025 and sends a positive signal to investors amidst shifting global supply chains.

However, contention remains. India’s decision to insulate agriculture echoes its longstanding protection of small farmers, citing domestic economic concerns. Meanwhile, the United States has rebuffed India’s attempt to invoke WTO provisions to counter Section 232 auto tariffs—stating these are national security measures exempt from retaliatory scope.

This interim trade arrangement, if realised, reinforces a transactional yet strategic progression in US‑India economic ties. The deal would shield India against sudden tariff shocks, unlock near-term stability for exporters, and lay the groundwork for a potential full-fledged trade agreement later in the year.

Intel to Eliminate Over 5,500 Jobs in Major Workforce Restructure

Intel has announced it will lay off more than 5,500 employees as part of an aggressive effort to streamline operations and regain competitiveness. The company confirmed via WARN filings that key reductions will occur in California, Oregon, Arizona, and Texas. California will see approximately 1,935 job cuts, while Oregon—home to Intel’s largest U.S. workforce—will lose around 2,932 positions, a fourfold increase from earlier estimates. Arizona and Texas will also be significantly affected.

Under the leadership of CEO Lip‑Bu Tan, Intel is implementing a large-scale restructuring aimed at becoming leaner and more agile. These cuts reflect a broader strategy to reduce overhead and reposition the company following years of lagging performance in its core CPU and AI GPU markets. In April, Tan signaled deeper workforce reductions—potentially trimming more than 20% of staff—to sharpen Intel’s engineering and competitive focus.

The staff cuts affect a wide range of roles, including engineers, technicians, back-office employees, and middle managers. Intel had initially planned smaller reductions, but the scope has expanded due to ongoing market pressures and efforts to improve cost efficiency. This follows previous rounds of layoffs, totaling over 20,000 globally since 2024 when the company shuttered its automotive unit and cut 15,000 factory jobs.

Intel faces stiff competition from Nvidia and AMD in the AI chip space and has struggled to regain technological leadership. Its foundry ambitions have fallen short, eroding market share and limiting its ability to meet customer demands. The restructuring is part of a broader recovery plan to reduce operating expenses, support new chip processes like 18A and 14A, and restore confidence among investors and customers.

Despite the upheaval, Intel’s stock has shown modest gains, suggesting investor belief in the turnaround strategy. Looking ahead, the company’s future hinges on successful execution in chip manufacturing, foundry services, and restoration of its competitive edge in AI semiconductors.

This round of layoffs marks one of Intel’s most substantial workforce realignments in decades, underscoring the scale of transformation required to reposition the company in a dynamic, AI-dominated semiconductor era.

Tags: Intel

Amazon Trims AWS Workforce Amid Strategic Reorganization, Hundreds Impacted Across Cloud Teams

In a significant move to streamline its cloud operations, Amazon has laid off several hundred employees across its Amazon Web Services division as part of an internal restructuring strategy. The layoffs, confirmed by multiple reports and internal sources, span across various departments including customer support, training, sales specialization, analytics, and AI-enablement teams.

AWS, which remains a key profit driver for Amazon, has seen consistent revenue growth—reporting a 17% year-over-year increase in Q1 2025, reaching $29.3 billion in sales. Despite this robust performance, the company is re-evaluating its organizational structure to eliminate inefficiencies and flatten management hierarchies.

Amazon clarified that the layoffs are not primarily driven by artificial intelligence advancements, although the company acknowledges the transformative impact of generative AI on business functions. CEO Andy Jassy has previously highlighted how AI technologies could eventually reduce demand for some white-collar roles, but the recent cuts are said to be more closely tied to strategic realignment and cost optimization.

Sources within the organization revealed that employees from the “specialist” customer-facing teams were among the most affected, with several roles being absorbed into broader functional units. The layoffs also touched teams responsible for internal training and enablement, areas that may see new models of automation and AI integration going forward. Employees impacted by the downsizing have reportedly received 60 days of pay and benefits, healthcare coverage, job placement services, and in some cases, redeployment opportunities within other Amazon business units.

This move follows a broader wave of job cuts at Amazon across different verticals such as devices, media, and consumer experience arms, reflecting a company-wide shift toward leaner operations in a changing economic and technological landscape. As competition in the cloud services sector intensifies, especially with Microsoft Azure and Google Cloud gaining momentum, Amazon’s restructuring may signal a new era of operational focus—balancing innovation with efficiency in its global cloud leadership.

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Malicious Code in Cursor IDE Leads to $500K Crypto Theft in Developer Wallet

Security researchers at Kaspersky have uncovered a sophisticated attack targeting developers using the Cursor AI-integrated coding environment. Tricking users into installing what appeared to be legitimate Solidity language extensions from the open-source Open VSX repository, the attackers deployed malicious packages that secretly downloaded remote-access malware and cryptocurrency-stealing tools.

In one notable case, a blockchain developer from Russia lost approximately $500,000 in cryptocurrency after installing a counterfeit “Solidity Language” extension. Once installed, the malicious code launched a PowerShell script to install ScreenConnect—a remote access tool—alongside the Quasar backdoor and a browser stealer. These tools were used to extract wallet keys and authentication credentials directly from the developer’s machine.

The perpetrators engineered the attack to appear more legitimate by artificially inflating download counts—initially reaching 54,000 installs, and then nearly 2 million—for fake extensions to outpace authentic ones in search results. Multiple variants, including “solsafe,” “solaibot,” and “among‑eth,” have since been removed after Kaspersky’s intervention.

Kaspersky warns that it is increasingly difficult to distinguish genuine extensions from malicious ones, even for experienced developers. Experts recommend deploying specialized security tools to monitor open-source dependencies, verifying package authenticity by assessing maintainer credibility, and remaining vigilant about unexpected behaviors during installation.

This incident highlights a growing trend of supply-chain attacks targeting developer tools and repositories. As coding environments become more accessible and AI-assisted, security must extend beyond code quality to include the integrity of development platforms themselves. In this case, a single compromised extension became the gateway for a large-scale financial loss—underscoring the urgent need for robust cybersecurity practices at every stage of software development.

Cisco CEO Chuck Robbins Repositions Firm as Strategic Bedrock for Agentic AI Era

At its peak in San Diego and across global operations, Cisco is leaning into a bold mission, anchoring enterprise-grade AI through its networking, security, and infrastructure platforms. CEO Chuck Robbins and President Jeetu Patel have made it clear: in the transformative shift toward agentic AI, where systems independently act on behalf of users, Cisco aims to be the foundational backbone behind adoption at scale.

Robbins emphasized that agentic AI is not an incremental transition—it rivals the internet’s explosive growth in speed and impact. In private sessions held in Mumbai, the leadership reiterated a strategic bet on private cloud capabilities over public cloud, citing concerns around control, cost, performance, and data sovereignty. “Private data centers are back,” Robbins declared, aligning Cisco’s direction with sovereign-centric infrastructure demands.

The scope of agentic AI is broad. From code generation and virtual assistants to autonomous operational agents embedded across business functions, AI capabilities are rapidly becoming integral to enterprise day-to-day processes. Cisco is positioning itself as the “picks and shovels provider” in this new AI boom—laying down the infrastructure that will carry and secure intelligent operations .

Differences from prior waves are stark. As more workloads migrate to private clouds and edge nodes, Cisco sees demand shifting away from pure public cloud dependency. Rather than “repatriation,” Cisco highlights a wave of new workloads debuting on private infrastructure. Their argument: hybrid sovereignty demands amplify the value of resilient, secure networking closer to home.

Security is woven into every layer. Cisco emphasizes that agentic AI could introduce new vulnerabilities—demanding integrated networking and security. Their dual-stack approach, combining programmable silicon, unified control planes, and telemetry from Splunk, is meant to deliver high-performance infrastructure that can adapt, secure, and scale alongside AI agents.

As enterprises navigate complexity, Cisco‘s narrative is clear—AI demands a new infrastructure paradigm: secure, programmable, network-centric. Their rise as an indispensable layer in the agentic AI stack reflects a broader shift: success in this era depends not just on intelligent applications, but on the networks that sustain and secure them.

F5 Launches AI Assistant to Lighten Operational Load for NetOps, SecOps and DevOps Teams

F5 has introduced a powerful AI-driven assistant designed to streamline operations for network, security, and development teams operating within hybrid and multicloud environments. Built into its flagship Application Delivery and Security Platform, the assistant leverages a natural language interface to simplify configuration tasks and elevate workflow efficiency.

A highlight of the release is the assistant’s ability to generate iRules code—scripts used in BIG‑IP, NGINX One, and Distributed Cloud Services—to manage traffic behavior, enforce security policies, and optimize routing. Traditionally requiring specialized scripting knowledge, these tasks can now be initiated with concise natural language prompts, cutting deployment time from days to minutes.

The AI assistant also supports incident response and security operations teams by offering tailored recommendations, summarizing threats, and automating repetitive manual tasks. According to F5, this innovation addresses regulatory-complexity in application environments and significantly lightens the operational burden on stretched IT teams.

In addition to the assistant, F5 has bolstered the platform’s security capabilities with enhancements to its AI Gateway. These updates introduce real-time data leakage detection and prevention—powered by LeakSignal technology acquired earlier this year—allowing organizations to inspect encrypted traffic, redact sensitive content, and enforce compliance policies.

F5’s Chief Innovation Officer, Kunal Anand, emphasized that the integration of AI is key to reducing manual toil—such as tuning configurations and reviewing logs—while enabling high agility in complex deployments. He added that downstream automation empowers teams to shift focus from routine execution to strategic efforts.

The AI assistant with iRules code generation is now available to F5’s partners and customers, while the upgraded data leakage and security features will be launched later this quarter, reinforcing F5’s position as a leader in intelligent, AI-enabled application delivery and protection.

Tags: F5

India’s Coding Boom Encounters AI Disruption as Developer Roles Transform

India, home to over five million software engineers and more than 15 million developers active on GitHub, stands on the brink of unprecedented disruption as artificial intelligence reshapes the future of coding. Once heralded as the world’s coding powerhouse, India now faces a seismic shift—routine programming roles are increasingly being automated, and traditional low-tier software jobs are giving way to higher-order AI-centric functions.

Industry leaders warn of significant reductions in demand for entry-level coding roles. In fact, junior developer positions are projected to shrink by 30–40% as AI platforms like GitHub Copilot, OpenAI’s Codex, and Claude become more capable of generating, debugging, and optimizing code autonomously. At the same time, emerging reports suggest that automation may soon take over up to 50% of coding tasks, highlighting how rapidly AI capabilities are evolving. Executives like InMobi’s CEO Naveen Tewari have boldly predicted that up to 80% of software development could be automated within two years.

However, experts emphasize that disruption also creates opportunity. Analysts estimate that AI-driven innovation could generate nearly 4.7 million new technology jobs in India by 2027—spanning roles in AI development, prompt engineering, platform architecture, and ethical oversight.

Leading IT firms are responding accordingly. Companies like TCS, Infosys, Wipro, and HCLTech are investing heavily in reskilling initiatives, training hundreds of thousands of employees in generative AI tools and digital transformation. For instance, TCS has trained over half its workforce in AI-related capabilities while HCLTech is dedicating 15% of its fresher hiring to specialized AI talent.

BPO and BPM sectors are also pivoting. As voice-based services contract—now representing just 26% of openings in BPM—firms are shifting toward technology roles supported by automation, signaling deep structural changes in customer service and support functions. Productivity gains are real and measurable. Tools like GitHub Copilot have helped developers complete coding tasks up to 55% faster in controlled studies, enabling engineers to focus on strategic problem-solving instead of boilerplate code.

Despite these advances, India’s legacy coding-centric service model faces pressure. Experts caution that unless firms pivot from transactional services toward product development and intellectual property creation, their competitive edge may erode as clients internalize AI workflows or adopt other automation-led providers.

A restructuring of skill demand is underway: coding is evolving into collaboration with AI, requiring developers to purposefully guide AI agents and validate outputs. Thought leaders argue that success will now hinge on high-level thinking, domain knowledge, and systems design—qualities that AI alone cannot replicate.

Public concern is growing. Surveys show over two-thirds of Indian white-collar workers fear automation may threaten their roles. Simultaneously, policymakers and educators face mounting urgency to realign curriculum frameworks and training programs to reflect AI-first labor market realities.

India stands at a crossroads: the nation’s massive developer base remains a formidable asset, but its future relevance depends on agility. By embracing AI tools, investing in strategic capability-building, and encouraging entrepreneurial product creation, India could transition from being the world’s coding factory to a global innovation hub—where creators and architects, not just coders, shape digital progress.

Tags: AIGitHub

Wipro Charts New Course as Consulting‑First, AI‑Powered Enterprise

In a marked strategic transformation announced at its 79th Annual General Meeting, Wipro declared its ambition to transition from a traditional IT services provider into a consulting-led, AI-centric organization. Executive Chairman Rishad Premji set out this vision, acknowledging that while global business conditions remain unpredictable, the rapid escalation of generative and agentic AI demands bold organizational reinvention.

Despite a slight 2.3% year-over-year dip in IT services revenue—falling to $10.5 billion—Wipro delivered an 18.9% increase in net income to ₹13,140 crore, alongside improved operating margins of 17.1% for fiscal year 2024‑25. These results underscore the firm’s balanced approach: tightening cost control while scaling investment in high-impact areas.

Central to Wipro’s narrative is the integration of AI into its fabric. Roughly 87,000 employees—spanning delivery, HR, sales, and finance—have completed advanced generative AI training, enabling them to build and manage over 200 intelligent agents across the enterprise. These autonomous systems drive efficiency in internal workflows and customer-facing operations, marking a shift from AI augmentation to agentic, outcome-driven intelligence.

The firm’s acquisition of Capco in 2021 is being further leveraged to deepen its consulting footprint, particularly in financial services and beyond. This move aligns with the broader consulting-first strategy, positioning Wipro to deliver AI-infused advisory services while fostering client trust and guiding transformation agendas.

CEO Srini Pallia reinforced this direction by highlighting how every major enterprise deal—63 large contracts totaling $5.4 billion, including two mega-projects—involved AI at its core. He emphasized that generative AI is now a foundational element in Wipro’s proposal pipeline, not merely an add-on.

Beyond immediate results, Wipro pledged stronger shareholder returns, with plans to distribute at least 70% of net income over the next three years via dividends and share buybacks. This reflects a confidence born of disciplined execution and a more future-ready business portfolio.

Looking ahead, Wipro’s transformation roadmap rests on three pillars: scaling AI-driven consulting, institutionalizing autonomous systems, and building a workforce that thrives in an AI-first environment. A robust training ecosystem, enhanced talent pipelines, and upskilling partnerships lie at the heart of this evolution.

By aligning its core capabilities to emerging trends—consulting proficiency, intelligent automation, and strategic AI investment—Wipro is poised to carve out a distinctive position among global peers. This pivot holds the potential to redefine its competitive edge in a world where advisory-led, AI-enabled business transformation is rapidly becoming the new norm.

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Meta Board Members Including Zuckerberg, Face $8 Billion Lawsuit Over Privacy Oversight Failures

An unprecedented trial has begun in Delaware’s Court of Chancery, where shareholders are seeking more than $8 billion from Meta’s current and former leadership, including CEO Mark Zuckerberg and COO Sheryl Sandberg, over serious allegations linked to the Cambridge Analytica data breach. Plaintiffs claim the executives failed to uphold a 2012 Federal Trade Commission order requiring strict user data protection—allowing unauthorized harvesting of personal information—and that this negligence led to the company’s record $5 billion fine in 2019.

The lawsuit centers on what are known as Caremark claims, arguing that the leadership breach a core duty to monitor and oversee the company’s compliance with legal requirements. It also accuses Zuckerberg of insider trading, suggesting he sold shares ahead of the scandal becoming public using privileged information. Defense lawyers contend the board was misled by Cambridge Analytica, responded promptly by hiring compliance firms, and strengthened privacy protocols in response.

In opening statements, privacy expert Neil Richards criticized Meta’s disclosures as misleading, pointing to continued privacy risks even after the FTC settlement. Among the first witnesses was former Meta director Jeffrey Zients, who stated that board discussions about settling the FTC fine were aimed at protecting the company—not shielding any individual executive.

High-profile board members, including Marc Andreessen, Peter Thiel, and Reed Hastings, are expected to testify later this week. Chancellor Kathaleen McCormick, who recently overturned Elon Musk’s Tesla pay package, will preside over the non-jury, eight-day trial. A ruling is expected several months after proceedings conclude.

This case represents a landmark test of board accountability in Delaware corporate governance, signaling that oversight failures may carry steep personal consequences for executives. The outcome could redefine how closely company leadership must monitor compliance in an era where personal data misuse has severe technical, legal, and reputational repercussions.

OpenAI Taps Google Cloud Amid Soaring AI Compute Demands

OpenAI has expanded its cloud partnerships by adding Google Cloud as a key infrastructure supplier, a move formalized in May 2025. This follows months of high-level discussions and comes as OpenAI seeks to meet the explosive demand for computing power needed to train and operate its advanced models, including ChatGPT.

Until early this year, OpenAI relied exclusively on Microsoft Azure. However, evolving strategic and technical dynamics prompted a shift toward diversifying compute sources. By incorporating Google Cloud alongside existing partners like Microsoft, Oracle, and CoreWeave, OpenAI aims to mitigate risk, gain pricing flexibility, and draw from a broader pool of data-center resources.

The alliance with Google is particularly significant given that the two companies develop competing AI technologies. Nonetheless, OpenAI’s decision reflects a pragmatic focus on infrastructure scale: with global usage of its models expanding rapidly, securing reliable GPU and TPU capacity has become a top priority.

This multi-cloud strategy is part of a wider OpenAI infrastructure initiative known as “Stargate,” a multibillion-dollar effort jointly backed by SoftBank, Oracle, and CoreWeave to build massive AI compute facilities. Adding Google Cloud not only reduces dependence on any single provider but also ensures that OpenAI can scale infrastructure globally—across regions including North America, Europe, and Asia—without constraints.

For Google Cloud, securing OpenAI as a customer is a major win. Competing with Amazon AWS and Microsoft Azure in the AI infrastructure race, this partnership highlights its growing credentials for servicing high-performance AI workloads.

By embracing a diverse, multi-cloud architecture, OpenAI is positioning itself to meet the computing horsepower demands that define the next era of AI scale. This strategic shift mirrors the changing priorities of elite AI developers—where flexibility, capacity, and resilience outweigh legacy allegiances.

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