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Artificial Intelligence Will Reshape the Workforce, Skills, and Communication, Warns LinkedIn CEO

Artificial Intelligence Will Reshape the Workforce, Skills, and Communication, Warns LinkedIn CEO

In a recent interview with Bloomberg, LinkedIn CEO Ryan Roslansky discussed how artificial intelligence is changing workplace communication, skill development, and the job market. This week’s interview demonstrates how AI technologies are affecting top executives at Microsoft and other organisations, as well as entry-level job applicants. According to Roslansky, artificial intelligence is both disrupting and facilitating advancement in fields including self-paced skill development, remote learning, and entrepreneurship. As AI transforms traditional roles and work expectations, he emphasised the necessity of ongoing reskilling. “A lot of uncertainty and disruption are going to occur. But in the long term, it’s advantageous,” Roslansky told Bloomberg. As an example of how AI tools are now helping even senior leadership with communication, he acknowledged in a light-hearted moment that he had used Microsoft’s Co-pilot AI to improve the tone of his emails to Microsoft CEO Satya Nadella. LinkedIn trends reveal: Surge in AI-related job listings. More users are adding AI skills to their profiles. LinkedIn is rolling out AI resume builders and job analysis tools. However, users remain cautious. Overuse of AI-generated posts and profiles has affected credibility, prompting LinkedIn to roll out ID and work email verification tools. Roslansky stated that while LinkedIn is implementing an “AI-first mindset” throughout all organisations going forward, the layoffs were not connected to AI. Advice Key Highlights: AI is both disrupting and enabling the job market. In the AI era, flexibility and retraining are crucial. LinkedIn is using AI technologies to improve communication and job readiness. Career Advice in the AI Age: Take tech-focused and AI-focused courses to keep your abilities up to date. Don’t seem robotic when using AI tools, such as resume builders. Verify your LinkedIn profile to boost trust. Keep up with the latest developments in AI that affect your sector. AI should be used as a tool, not a substitute.

Shoplifters are apprehended by this AI technology before they even steal anything

Shoplifters are apprehended by this AI technology before they even steal anything

A Paris-based start-up, Veesion, has created an AI surveillance system that can detect suspicious gestures before shoplifting occurs. Launched in 2018, the tech is now used in over 5,000 stores across Europe, the US, and Canada, helping retailers prevent theft before it happens. Without keeping personal information or utilising biometrics, Veesion’s gesture-recognition AI examines body movement to identify questionable behaviour.  The solution delivers personnel real-time notifications through a mobile app and connects with current CCTV setups. “The algorithm is indifferent to people’s appearance.  As stated by Benoit Koenig, a co-founder of Veesion, “It only cares about how your body parts move over time.” It detects actions like concealing items or irregular handling of products, and immediately alerts the security team with video evidence. Within three months, a shop in the United States reduced losses in the health and beauty department by fifty per cent. The startup recently raised ₹373 crore ($43 million) in Series B funding to expand globally. The tech also helps detect employee theft, which accounts for similar losses as customer shoplifting. “It acts as a deterrent. Staff know AI is watching,” Koenig added. Advice: Veesion’s AI shows how gesture-based surveillance could revolutionise theft prevention in physical stores, without invading privacy. Security Insights for Retailers: Upgrade to AI-enhanced CCTV systems Train staff to respond to real-time alerts Use non-biometric solutions to respect privacy laws Regularly audit security footage for internal theft

16 Billion Logins Stolen In Mega Data Breach Threatening Apple, Google and More

16 Billion Logins Stolen In Mega Data Breach Threatening Apple, Google and More

In a massive global data breach, hackers have leaked 16 billion login credentials, exposing users of platforms like Apple, Google, Facebook, GitHub, and even government services, according to Forbes. The breach was uncovered this week by cybersecurity researchers who found the records in 30 unprotected datasets, some containing up to 3.5 billion entries each. Cybersecurity experts first noticed a mysterious open database containing 184 million records, which has now proven to be only a small part of a much larger breach. Researchers have since confirmed 30+ datasets leaked online, containing VPN logins, social media accounts, and developer platform access. The breach is not a recycling of old data but fresh, high-value information collected throughout 2025, making it dangerous and exploitable for phishing attacks, account takeovers, and business email compromise (BEC) schemes. “This is not just a leak — it’s a blueprint for mass exploitation,” warned the research team cited in Forbes. Darren Guccie, CEO of Keeper Security, emphasised that the leak’s scale and nature pose “far-reaching risks” to users across sectors. Google has responded by urging users to move beyond traditional passwords and 2FA, and instead adopt passkeys, which are biometric login systems using fingerprint or facial recognition. “Passkeys are phishing-resistant and safer than passwords,” Google stated. Advice: This mega breach highlights how credential leaks remain one of the top cyber threats globally. The fact that the stolen logins are fresh and tied to major platforms increases the urgency for users to act. Cyber Safety Tips: Switch to Passkeys or biometric login methods wherever possible Update your passwords immediately, especially for sensitive accounts Enable multi-factor authentication (MFA) Avoid clicking on suspicious links or emails asking for logins Report scams or suspicious activity at cybercrime.gov.in

Google rolls out budget-friendly Gemini 2.5 Flash Lite, opens 2.5 Flash and Pro to all

Google rolls out budget-friendly Gemini 2.5 Flash Lite, opens 2.5 Flash and Pro to all

New model offers high-speed, low-cost performance; Gemini 2.5 Flash and Pro now open to all users. Google has launched a new AI model, Gemini 2.5 Flash-Lite, on June 18, 2025, making it the fastest and most affordable in the Gemini 2.5 series. Available via Google AI Studio and Vertex AI, it supports multimodal tasks with low latency and cost, catering to developers and enterprise users who require scalable AI solutions. The Gemini 2.5 Flash-Lite is designed for high-volume, latency-sensitive tasks such as translation, classification, and reasoning, offering improved performance over its predecessor, the 2.0 Flash-Lite. Google claims it delivers superior accuracy in coding, science, and multimodal benchmarks while being cost-efficient. Despite being a “lite” version, it includes advanced features such as a 1 million-token context window, tool integration (like Google Search and code execution), and flexible compute scaling based on budget. Google has also announced the general availability of Gemini 2.5 Flash and Pro, previously limited to select users. Firms like Snap and SmartBear have already integrated them into their production systems with success. These models are now accessible via Google AI Studio, Vertex AI, and the Gemini app, expanding usage beyond developers to general users through tools like Search. Quote: “Gemini 2.5 Flash-Lite is designed to bring scalable, affordable, and high-performance AI to everyone — from individual developers to large enterprises,” said a Google spokesperson in the launch statement. Advice: Google’s move to open Gemini 2.5 models, especially the new Flash-Lite, offers a powerful AI toolkit for cost-conscious developers and businesses. Its lightweight design doesn’t compromise capability, making it ideal for fast, real-world deployment. Tips for AI users: Choose models based on task latency and cost requirements Explore Google AI Studio or Vertex AI for hands-on testing Use Flash-Lite for rapid classification, translation, and large prompt processing Review Google’s documentation to integrate AI efficiently and securely

Google Launches AI Safety Charter to Combat Rising Cybercrime Threats in India

Google Launches AI Safety Charter to Combat Rising Cybercrime Threats in India

With 60 million threats blocked and ₹5 million pledged, Google partners with Indian agencies and IIT-Madras to secure the digital future In India’s rapidly growing digital space, hackers are increasingly targeting users with sophisticated scams, including fake banking apps and phishing attacks. This week, Google revealed new efforts under its AI-led “Safety Charter” to detect and stop such scams in real-time through artificial intelligence. The goal: to protect Indian users and institutions from cyber fraud and data theft. Google is leveraging AI to block scams before they impact users. According to Preeti Lobana, Google India’s Country Manager, the company has already: Prevented 60 million attempts to install malicious applications Flagged 500 million scam messages Marked 12 million fake listings on Google Maps Issued 2.5 billion warnings for suspicious URLs   Financial frauds now account for 75% of cybercrimes, with global cybercrime costs estimated to reach $14 trillion by 2028. To tackle this, Google has introduced a three-pronged AI Charter focused on: User safety Enterprise and government cybersecurity Responsible and ethical AI development   In addition to deploying advanced AI tools, Google is collaborating with Indian authorities such as the Department of Telecommunications, the Home Ministry, and SEBI for centralised intelligence sharing. Google.org also announced a $5 million expansion of the APAC Cybersecurity Fund via The Asia Foundation, enabling cyber clinics and training in Indian universities, especially for MSMEs and students. Meanwhile, a new partnership with IIT-Madras aims to push forward Post-Quantum Cryptography, securing future digital interactions through anonymous, privacy-first tokens. According to Lobana, “AI systems are always evolving to detect new threats—even those that haven’t been seen before.”  Additionally, Heather Adkins, Google Security’s VP of Engineering, said: “AI isn’t just narrowing the gap between attackers and defenders—it’s eliminating it in some cases.” Advice: Google’s AI-driven defence strategies signal a major leap in protecting India’s digital users. But while tech giants act, user vigilance remains essential. Security Tips for Users: Turn on two-factor authentication (2FA) for every application. Never click on unknown links in emails or communications. Download apps only from official stores Report cybercrimes at cybercrime.gov.in Stay updated with Google’s Safety Centre and CERT-In alerts

Huge discovery: DRDO-IIT Delhi milestone reshapes future warfare and guarantees India’s leadership in quantum technology

Huge discovery: DRDO-IIT Delhi milestone reshapes future warfare and guarantees India's leadership in quantum technology

India pioneers quantum-secure free-space communication with DRDO-IIT Delhi breakthrough, marking a leap in defence, cybersecurity, and future warfare capabilities. With the successful demonstration of quantum entanglement-based free-space secure communication, carried out in collaboration with the Defence Research and Development Organisation (DRDO) and IIT Delhi, India has made a significant step toward the quantum era. Secure quantum communication across a distance of more than one kilometre was accomplished in the experiment, which was conducted at the DRDO-Industry-Academia Centre of Excellence (DIA-CoE) on the campus of IIT Delhi. With the use of a free-space optical link, the milestone achieved a safe key rate of around 240 bits per second and a quantum bit error rate of less than 7%. This lays the groundwork for long-distance Quantum Key Distribution (QKD), real-time applications in quantum cybersecurity, and the larger goal of creating quantum networks and a future quantum internet. The Directorate of Futuristic Technology Management (DFTM), DRDO, has approved the project named “Design and development of photonic technologies for free space QKD.” DRDO’s DG (MED, COS & CS), Director SAG, Director DFTM, and top academics from IIT Delhi were among the senior authorities who attended the demonstration, which was headed by Prof. Bhaskar Kanseri’s research group. Higher security is guaranteed by quantum entanglement-based communication, in contrast to conventional prepare-and-measure QKD systems, even if the hardware is compromised. The entangled quantum state is changed by every attempt at eavesdropping, making it observable. Additionally, it avoids the need to install expensive and disruptive optical fibre networks, which is especially advantageous in urban or remote locations. This accomplishment builds on earlier successes, such as the 2022 establishment of India’s first intercity quantum communication link between Vindhyachal and Prayagraj and the 2024 demonstration of a 100-km fibre-based quantum key distribution system. DRDO’s DIA-CoEs, which currently encompass 15 prestigious academic institutions nationwide, serve as the foundation for all initiatives. “India has entered into a new quantum era of secure communication, which will be a game changer in future warfare,” said Defence Minister Rajnath Singh, congratulating the team. Both IIT Delhi Director Prof. Rangan Banerjee and DRDO Chairman Dr. Samir V. Kamat reiterated the view, praising the discovery as a crucial step towards technical sovereignty and national security.

Facebook and Instagram owner Meta to enable AI ad creation by the end of next year

Facebook and Instagram owner Meta to enable AI ad creation by the end of next year

Meta plans to roll out full AI-powered ad creation tools by the end of 2025, allowing businesses to generate complete ads using just product images and budgets. The move could disrupt traditional ad agencies while empowering small businesses with limited resources. In a move that shocked the conventional marketing sector, the owner of Facebook and Instagram has agreed to assist advertisers in completely developing and targeting campaigns with artificial intelligence capabilities by the end of next year. The advertising and media companies that manage client campaigns and budgets face competition from Mark Zuckerberg’s Meta, which also owns WhatsApp, which seeks to directly target clients’ marketing spending. Brands using Meta’s advertising platform will be able to make ads using a product image and a budgeted marketing spend, thanks to the AI techniques that are currently being developed, as first reported by the Wall Street Journal. Some AI technologies are currently available on Meta’s platform, enabling advertisers to modify current ads before they show up on Facebook and Instagram. The new technologies, however, have the potential to disintermediate the conventional functions of agencies in creating, planning, and purchasing advertising. They may also make it possible for a large number of advertisers with modest budgets who are unable to pay marketing services firms. Following a client’s budget, the AI tools would produce the full advertisement, including the text, images, and video, and target users with it. An advertisement for a vacation firm, for instance, might be customised to provide bargains that are directly connected to users’ likely destinations of interest by using targeting techniques like geolocation. As word broke on Monday about Meta’s planned AI rollout, which may greatly increase the $160 billion (£118 billion) the firm already makes from advertising each year, investors swiftly sold up some of the biggest marketing services in the world. WPP’s stock fell 3% in early trading, while Publicis Groupe and Havas, both French companies, had declines of 3.9% and 3%, respectively. The creation of new tools has been described as “a redefinition of the category of advertising” by Zuckerberg, who is primarily focused on advancing AI-powered advertising. With plans to invest between $64 billion and $72 billion in capital expenditures, including the cost of establishing AI infrastructure, Meta revised its spending projection for the upcoming year in April 2025. Initially, the business stated that it anticipated spending up to $65 billion in 2025. According to Meta, increasing its AI capabilities for companies is not an attempt to displace established agencies. In a recent LinkedIn post, Alex Schultz, Meta’s chief marketing officer and vice-president of analytics, stated, “We believe in the future of agencies.” We think AI will free up valuable time and resources for advertising and agencies to concentrate on what matters—creativity. Although we believe that marketing will eventually become more automated, agencies will continue to play a crucial role because of their capacity to plan, carry out, and evaluate across channels. Schultz did, however, add that AI tools would help “level the playing field” for small and medium-sized enterprises that lack the resources or time to hire agencies. “Our platform is essential to the growth of millions of small businesses,” he stated. “AI can help level the playing field for these businesses that can’t work with an agency or don’t have time in their hectic days to think about their creative or targeting.”

Rate Gain launches REMO, its first AI-powered digital employee to enhance workplace communication

Rate Gain launches REMO

Rate Gain launches REMO, its first AI-powered digital employee to enhance workplace communication its first AI-powered digital employee, to boost workplace communication and employee well-being. REMO supports open dialogue, emotional check-ins, and aligns with the company’s AI strategy to enhance human-centric experiences. The first AI-powered digital employee, REMO, has been introduced by Rate Gain Travel Technologies Limited, a global supplier of AI-driven SaaS solutions for the travel and hospitality sector. The program seeks to promote organisational openness, worker well-being, and workplace communication. Developed as an always-on conversational AI, REMO is a member of Rate Gain’s People and Culture team. It gives workers a private, accepting setting in which to discuss professional goals, voice issues, give feedback, and check in on their emotional health. REMO encourages candid discussion and is available at any time to lower obstacles to communication. This rollout is in line with Rate Gain’s overarching AI strategy, which emphasises augmenting rather than replacing the human experience in the workplace. Rate Gain aims to instil empathy, individuality, and psychological safety into its organisational culture by incorporating AI into its internal processes. By providing a scalable internal communication and engagement solution, REMO also demonstrates the company’s efforts to adjust to the demands of a remote workforce. As a tool, it keeps changing in response to employee interactions, giving the business a better understanding of employee expectations and workplace sentiment.

Samsung nears wide-ranging deal with Perplexity for AI features

Samsung

Samsung is nearing a major deal to invest in and integrate Perplexity AI’s search technology across its devices, including the Galaxy S26 and Bixby assistant. The partnership may reduce Samsung’s reliance on Google and marks Perplexity’s largest mobile collaboration to date. Samsung Electronics is close to signing a comprehensive agreement to invest in Perplexity AI and integrate the artificial intelligence startup’s search technology at the forefront of the South Korean company’s products. According to people with knowledge of the situation, the two businesses are negotiating to integrate Perplexity’s search capabilities into the Samsung web browser and preload the startup’s software and assistant on future Samsung devices. According to insiders who asked not to be named because the discussions are confidential, the companies have also talked about integrating Perplexity’s technology into Samsung’s Bixby virtual assistant. According to the sources, Samsung intends to make the Perplexity integrations public as early as this year to make the service the default assistant choice for the Galaxy S26 phone line, which is scheduled to go on sale in the first half of 2026. The precise specifics, however, are still subject to change as they have not been finalised. According to the sources, the IT behemoth is also anticipated to be among the largest backers of Perplexity’s upcoming investment round. At a $14 billion valuation, the business is in advanced talks to raise $500 million. The extensive partnership might help Samsung lessen its reliance on Google, a division of Alphabet Inc., and open the door for it to collaborate with a variety of AI developers, much like Apple Inc. does with its products and services. The agreement, which comes after a recent integration agreement with Motorola, would be Perplexity’s largest mobile cooperation to date. Perplexity and Samsung representatives choose not to comment. Earlier this year, in April, the two businesses began talking about a cooperation. According to the persons, the two parties met in South Korea in recent weeks and are now nearing a deal. According to the sources, Samsung and Perplexity have also talked about developing an AI-powered operating system and an AI agent app that can access features from Perplexity and other AI helpers. Apple has expressed interest in collaborating with Perplexity as well. Perplexity has been proposed by the iPhone manufacturer as a Google Search substitute and as a replacement for ChatGPT integration in the Siri voice assistant. During recent testimony at a Google antitrust lawsuit, Apple’s senior vice president of services, Eddy Cue, stated, “We’ve started some discussions with them about what they’re doing because we’ve been pretty impressed with what Perplexity has done.” How Perplexity’s relationship with Samsung, one of Apple’s most ardent competitors, might impact that is unknown.

Apple’s ‘Big AI’ problem that Google, Microsoft and Amazon do not have to deal with

Apple's 'Big AI' problem

Apple faces a significant AI disadvantage due to limited infrastructure, delayed investments, and reliance on rivals like Google for AI resources. Meanwhile, competitors like Google, Microsoft, and Amazon lead with robust AI ecosystems, cloud infrastructure, and advanced models. Apple is allegedly at a disadvantage in the AI space, even though IT behemoths like Google, Microsoft, and Amazon are making quick progress in this area. According to a recent analysis, the iPhone manufacturer lacks the necessary infrastructure and sustained investment in fundamental AI technologies that its rivals have spent years, if not decades, creating, despite its efforts to advance AI programs. For instance, Apple postponed its intended redesign of Siri earlier this year because the update, which was supposed to bring Siri into the age of generative AI, wasn’t yet complete. According to a Business Insider story, Apple could have to create essential AI components from scratch if it hopes to modernise Siri to the level of its rivals. This would be costly and time-consuming, and it might take years. If not, it might have to rely more on rivals or buy out start-ups in bulk to catch up. Google’s decades-long head start in AI technology Certain AI building elements are necessary for the creation of a successful AI product. While Microsoft and Amazon have some of the fundamental AI building blocks in place, Google already has almost all of them. Google can introduce AI consumer tools like Veo, Flow, and Imagen because it owns the deep stack of technologies that underpin its AI building blocks, including data, chips, data centres, cloud businesses, and ways to distribute the goods. Transformer, the ground-breaking architecture underlying contemporary generative AI, was created by Google in 2017. Since their introduction in 2016, Google’s AI processors, known as Tensor Processing Units (TPUs), have become essential components of both Google products and third-party developers’ use of Google Cloud. Decades of data collection and online indexing are also advantageous to Google. In order to make these tools available to clients, the company uses data centres, a cloud business, and a massive dataset to train its potent AI models. How Amazon and Microsoft are thriving in this space while Apple is not Some of these foundational components, such as cloud infrastructure, AI models, specialised AI teams developing the technology, and even relationships, are shared by Amazon and Microsoft. In contrast, Apple does not have this kind of infrastructure or access, and it lacks many of these resources. Apple still depends on Google data centres for services like iCloud backups since it does not have enough large-scale data centres of its own. Apple even asked to use Google’s TPUs for recent AI training, thereby stealing infrastructure from a direct competitor. According to reports, Apple is lagging behind Google by almost seven years in the development of AI chips for data centres. Despite having access to vast amounts of data from its devices, Apple has been cautious about using such data for AI training because of its privacy-first principles. Its capacity to create and improve large-scale models is thus limited.  Additionally, according to the report, Apple has fallen behind in terms of attracting and keeping elite AI talent. How may this be a risk to Apple Apple’s delayed investment in AI infrastructure may become a major issue if generative AI ends up changing how people use computers, including laptops and smartphones. Apple is still putting the fundamentals together, while other tech behemoths are introducing complete, powerful AI systems.