Latest news with #GenAI-related
New Indian Express
6 days ago
- Business
- New Indian Express
TCS Q1 FY26 Results: Why they impact all other IT stocks
CHENNAI: On Thursday, July 10, India's benchmark indices dipped modestly as investors grew cautious ahead of Tata Consultancy Services' (TCS) quarterly earnings announcement. The Nifty 50 declined by 0.19% and the Sensex by 0.16%, with weakness led by the IT sector. The Nifty IT index fell approximately 0.7% in early trade. TCS is scheduled to announce its Q1 FY26 results after market hours today. Investor Sentiment Before Results TCS shares opened around 0.5% lower, reflecting investor expectations of a subdued quarter. Market participants pointed to a slowdown in ramp-ups of certain deals and client-specific headwinds, including the phased-out BSNL contract, as key concerns. Leading brokerages anticipated a slight sequential decline in TCS's revenue and profit for Q1 FY26. Revenue was expected to drop between 0.2% and 3.4% quarter-on-quarter in constant currency, primarily due to the loss of BSNL-related revenue. Margins were projected to remain under pressure amid muted growth and operating leverage constraints. Investors and analysts were also closely watching for updates on TCS's GenAI-related contracts and the strength of its deal pipeline, given the growing industry focus on artificial intelligence-driven services. An analyst from a foreign brokerage noted that external factors such as ongoing uncertainty around U.S. tariffs and delayed trade negotiations were contributing to investor caution. Additionally, rising global inflation could weigh on corporate IT spending, particularly among TCS's U.S.-based clients. Outlook A strong earnings performance by TCS has the potential to boost sentiment across the entire IT sector, often setting the tone for the broader IT earnings season. Key indicators for investors to monitor include trends in the order book and traction in GenAI initiatives during TCS's and its peers' upcoming earnings calls. Broader macroeconomic developments in the U.S., including tariff policies and trade relations, remain significant as they can influence client spending patterns. Currency fluctuations and inflation trends will also be critical factors impacting margins and deal valuations in the near term.
Euronews
29-06-2025
- Business
- Euronews
GenAI job postings rise across Europe: Which countries lead the way?
Recent figures reveal a sharp rise in the share of job postings mentioning generative AI (GenAI) over the past two years across Europe, North America, and Australia. 'Nearly every job will be impacted by AI (artificial intelligence) at some point,' said Pawel Adrjan, Director of Economic Research at Indeed. In major European economies, the share of GenAI-related job postings more than doubled in the 12 months to March 2025, according to the global hiring platform Indeed. What are GenAI jobs? GenAI jobs refer to roles involving the development, implementation, or oversight of generative artificial intelligence technologies. This could include positions building GenAI features, or roles leveraging this tech to create more efficient processes such as reviewing data, summarising reports, or drafting written or creative materials. Ireland is leading the way by a significant extent in Europe when it comes to these kinds of jobs. Indeed data shows that, as of 31 March 2025, more than 0.7% of Irish job postings include terms related to GenAI. This is an increase of 204%, with the share more than tripling in just one year. The figure was only 0.02% in the same period in 2023, highlighting a tremendous rise over the past two years. For comparison, job openings in Ireland for chefs currently represent 1.1% of total postings. Opportunities for lorry drivers and bartenders represent 0.8% and 0.6% respectively. These figures highlight Ireland's position at the forefront of digital innovation in the European labour market. How has Ireland become a hub for GenAI jobs? "Ireland's leading presence in GenAI job postings reflects the country's well-established technology sector and its role as a European base for many global firms,' Pawel Adrjan told Euronews Business. 'With a high concentration of tech employers, including major multinationals and a number of start-ups, it's natural we would see a proportionate increase in GenAI roles there too,' he added. Globally recognised names such as Alphabet, Amazon, Apple, Meta, IBM, Intel, Microsoft, Oracle, Salesforce, and Tencent, among many others, have established significant European operations in Ireland. Adrjan of Indeed also noted that the steady growth in AI-related roles is also indicative of Ireland's focus on industries like software, financial services, and life sciences, which are increasingly integrating AI tools into their operations. GenAI job postings surge in Germany, the UK, and France Several major EU and international markets — including Germany, France, Australia, the US, the UK, and Canada — lag behind Ireland in incorporating GenAI into job roles. In each of these countries, the share of job postings mentioning GenAI remains at or below 0.3% as of late March 2025. However, the share has risen by around 100% or more in these European countries over the past year. This highlights how the job market is evolving, even if still well behind Ireland's 204% increase. The UK has the highest share of GenAI-related job postings among the three largest European economies, at 0.33% as of 31 March 2025. That's up 120% from 0.15% the previous year. Germany follows with 0.23% (a 109% annual increase), and France at 0.21% (a 91% increase). Which jobs most commonly mention GenAI? GenAI jobs appear across a range of categories. Among the top occupations in Ireland where job postings mention GenAI, mathematics leads by a wide margin. As of March 2025, 14.7% of advertised roles in mathematics referenced GenAI, significantly higher than any other category. This was followed by software development (4.9%), media & communications (3.9%), architecture (2.4%), and scientific research & development (2.1%). Other fields showing notable GenAI activity include industrial engineering (1.8%), legal (1.7%), marketing (1.6%), medical information (1.5%), and production & manufacturing (0.9%). Human intelligence remains a strong requirement Pawel Adrjan explained that in many developed markets, ageing populations are contributing to labour shortages and widening skills gaps. As a result, employers face growing competition for talent and are increasingly turning to skills-first hiring approaches, including the use of AI to expand and enhance their workforce. While nearly every job will be impacted by AI at some point, Adrjan emphasised that human intelligence remains a key requirement. 'We know that GenAI tools are an excellent resource to enhance efficiencies, but they are currently limited in comparison to human expertise,' he said. To what extent can GenAI replace jobs? Joint research by Indeed and the World Economic Forum earlier this year showed that humans will remain an essential part of the global workforce as AI continues to evolve. Indeed analysed over 2,800 work-related skills to assess GenAI's potential to substitute employees. The findings show that around two-thirds (69%) are unlikely to be replaced by GenAI, underscoring the continued importance of human expertise in the workplace. The chart above shows the likelihood of certain skills to be replaced or substituted by GenAI. They are ranked from 'very low capacity' (hard to replace) to 'high capacity' (easy to replace). AI and Big Data, as well as reading, writing, and mathematics are on the 'high capacity' side of the scale. On the 'very low capacity' side of the scale, we can see sensory-processing abilities, along with empathy and active listening.
Broadcast Pro
11-06-2025
- Business
- Broadcast Pro
Palo Alto Networks reports nearly 900% surge in generative AI usage
This report dives into the world of AI adoption to explore its benefits, challenges, and how to balance AI innovation with security to safely transform how businesses operate for years to come. In a new 'State of Generative AI' report, Palo Alto Networks has revealed a dramatic rise in the adoption and use of generative AI (GenAI) technologies across its customer base, signaling a pivotal shift in how businesses are integrating AI into their operations. Based on analysis of tens of thousands of global tenants, the company identified critical trends shaping the current AI landscape—ranging from massive usage growth to escalating security concerns. According to the report, GenAI traffic surged by over 890% throughout 2024. This extraordinary spike reflects the rapid maturation of AI models and their growing value in enterprise automation and productivity. What was once considered an experimental tool is now becoming a fundamental utility across industries. However, this widespread adoption has brought with it significant cybersecurity challenges. The average number of GenAI-related data loss prevention (DLP) incidents more than doubled, increasing by 2.5 times in early 2025. These incidents now account for 14% of all data security breaches. The report warns that careless or unauthorized use of GenAI applications can lead to leaks of intellectual property, regulatory violations, and exposure of sensitive data. The findings also reveal that organisations are using an average of 66 GenAI applications, with around 10% of those categorized as high risk. This proliferation is largely driven by a lack of well-defined AI usage policies, an urgency to adopt AI for competitive advantage, and insufficient security protocols in place—factors that leave companies vulnerable to exploitation. Palo Alto Networks' report emphasizes the need to balance innovation with strong security frameworks as GenAI continues to reshape business operations. The company advocates for a careful approach to integrating GenAI, one that allows businesses to embrace its transformative potential while mitigating associated risks. To ensure accuracy, the research analyzed GenAI traffic logs from 7,051 customers worldwide over the course of 2024. Additionally, anonymized DLP data from January to March 2025 was included. All data was collected and reviewed in compliance with stringent privacy and security standards to maintain customer confidentiality. The report's insights were derived from GenAI usage across Prisma Access and Next-Generation Firewall (NGFW) environments, focusing on third-party GenAI apps accessed within these systems. Ultimately, Palo Alto Networks aims to equip businesses with the knowledge to safely navigate the rapidly evolving AI landscape and capitalize on its benefits without compromising data security.
Techday NZ
11-06-2025
- Business
- Techday NZ
Transport sector faces rising cyber risks amid AI boom
A new industry survey has highlighted ongoing challenges with networking and security for companies in the transportation and logistics sector, as they navigate increasing IT complexity and adopt artificial intelligence (AI) technologies. The survey, conducted by GatePoint Research, gathered responses from senior executives in transportation and logistics, revealing a focus on simplifying their network environments, achieving stronger security, and improving performance. With the research published by Aryaka, the findings point to mounting pressures on companies as they manage hybrid IT infrastructure and shifts toward cloud-based and AI-enabled solutions. Driving transformation Transportation and logistics companies are in a period of rapid digital transformation, typically operating a mix of physical and digital infrastructure that spans warehouses, fleets, air and sea transport, and real-time management systems. The trend towards more connected, cloud-enabled, and AI-integrated operations is resulting in greater network complexity and increased cybersecurity risk. The survey responses indicate that the most significant networking and security priority over the coming year is simplifying and decreasing network costs. 70% of executives listed cost control as their main objective, followed by 57% who seek enhanced network performance and visibility, and 51% attempting to reduce the workload on internal IT teams. These figures illustrate a desire for operational efficiency and better insight into security and network performance without increased manual oversight. Cybersecurity and cost hurdles The survey also found cybersecurity to be the top daily networking challenge, with 81% of respondents naming it as their biggest concern. Cost-effective network modernisation was the second highest daily challenge (62%), while 60% reported problems caused by understaffed IT teams. When asked about key security threats, 77% of participants pointed to ransomware and malware as their primary concern. Additional challenges cited included enforcing security policies (66%) and managing remote access control (64%). The investigation further revealed that only 28% of organisations have started implementing solutions to counter GenAI-related network and security threats, while more than half (56%) are still evaluating or unprepared for such risks. This suggests that many companies are still coming to terms with the new threats introduced by AI. Embracing hybrid IT Most transportation and logistics companies are operating hybrid IT environments, with 74% stating that they use a combination of private data centres and public cloud resources. This hybrid approach is increasing the need for flexible and robust network solutions. Additionally, most organisations are currently in the process of migrating legacy applications to the cloud, adding to the complexity of their digital transformation efforts. The findings echo those in Aryaka's own research in the manufacturing industry, showing common priorities like cost management and visibility. However, transportation and logistics respondents showed a stronger emphasis on mobility and remote access, as well as slightly less readiness for GenAI adoption compared to manufacturing. Calls for a new approach "To gain agility and accommodate rapidly evolving supply chains, transportation and logistics enterprises are relying more on hybrid IT, highly distributed cloud deployments and GenAI. But these technologies are introducing new network performance, security and visibility challenges that the sector hasn't been equipped to effectively manage with legacy infrastructure," said Ken Rutsky, Chief Marketing Officer at Aryaka. "The industry needs to modernise their approach to networking to mitigate these challenges and successfully move their businesses into the future. Solutions such as Aryaka Unified SASE as a service provides the best path forward via network and security convergence, giving transportation and logistics firms enhanced network performance, security, and observability at scale across their highly distributed, hybrid environments." Industry perspective The report also features perspectives from organisations in the sector, including Cathay Pacific. Rajeev Nair, General Manager of IT Infrastructure and Security at Cathay Pacific, commented on their own approach: "Aryaka's Unified SASE solution and managed services will support Cathay's growth as network demand increases, while allowing us to remain agile and secure in the process. As we continue to rebuild our business, we need a partner that could have an impact on our network and security, limit downtime and interruptions, and give us the flexibility to expand our network and bandwidth with less lead time." The survey underscores how rising connectivity, the adoption of cloud and AI, and increasing cyberthreats are shaping technology priorities for transportation and logistics organisations. The demand for improved network performance, greater security, and better visibility continues to direct investment and strategic decision-making across the sector.
Business Insider
02-06-2025
- Business
- Business Insider
White-collar job postings still rarely mention GenAI
Bernard, senior economist at Indeed Generative artificial intelligence (GenAI) tools may be a central focus of recent global stock markets, but their tangible labor market impacts have so far been limited. Many Canadian workers report using GenAI tools like ChatGPT in their day-to-day activities, but in late January 2025, just 0.28% of Canadian job postings on Indeed included any GenAI-related terms, despite steady growth since early 2023. This low share of postings isn't unique to Canada. With a few exceptions, such as Singapore and Ireland, the proportion of job descriptions including GenAI-related terms in January 2025 was below 0.3% in many countries tracked by Hiring Lab, including the UK, the US, and Australia. While some positions that don't mention GenAI will likely still incorporate the technology in day-to-day tasks, it's rare for related tools and skills to be central enough in the workflow of many positions for employers to mention it in their job postings overtly. Small amount of mentions in white-collar postings keeps the GenAI share low Mentions of GenAI in job postings are highly concentrated in a small corner of the labor market: those related to science, technology, and mathematics. These occupations comprised just 6% of Canadian job postings in January, but accounted for more than half (58%) of all mentions of GenAI in job descriptions. Meanwhile, GenAI-related terms are rarely included in job postings for many white-collar occupations, despite the vast potential to use the technology in these roles. In recent research, Hiring Lab evaluated the ability of GPT-4o, a popular GenAI model developed by OpenAI, to perform each of the 2,800 skills in Indeed's skill taxonomy library across three dimensions: Its ability to provide theoretical knowledge about the skill, its ability to problem-solve using the skill, and the necessity of physical presence in performing the skill. These evaluations informed a final assessment of the likelihood current Gen-AI tools will come to replace humans in performing these various skills. No skills were determined to be "very likely" to be replaced in the near term, while more than two-thirds (69%) of skills were deemed "unlikely" or "very unlikely" to be imminently replaced by GenAI. But for some occupations with limited physical requirements and where theoretical knowledge is paramount, most of the skills listed in recent US job postings were rated as "possible" or "likely" replaceable by GenAI. However, mentions of GenAI job postings in these highly exposed occupations have been quite mixed. The capabilities of GenAI overlap closely with many of the skills involved in several of the science, technology, and math jobs that also mention the technology at elevated rates. In January, more than 6% of job postings in the mathematics field (which includes data scientists) mentioned at least one GenAI-related keyword, by far the highest among sectors tracked. Math job postings also happen to have the highest proportion of skills deemed to be possibly or likely replaceable at the moment by GenAI. GenAI mentions were also relatively prevalent in software development (3.4%, which includes machine learning engineers), scientific research and development (2%), and information design and documentation (1.1%), all of which also ranked relatively high in terms of possible skill replacement. At the same time, the vast majority of job ads are for occupations where mentions of GenAI in late 2024 were quite rare. This was the case in fields where the technology isn't yet relevant to most of the skills in demand — including healthcare, driving, and construction — but also across a range of white-collar sectors where the overlap is quite substantial. For instance, postings in accounting (the field with the second-highest skill replacement potential), administrative assistance, human resources, and legal services all mentioned GenAI less than the economy-wide average. Banking and finance ranked slightly higher, with just 0.32% of postings mentioning GenAI. Gradual adoption so far, but room for growth Despite GenAI's vast potential application, textual analysis of job descriptions suggest it's had a limited disruptive impact on the workflow of most white-collar occupations outside of those in science, technology, and math. One reason these fields are the exception is that some of these jobs — like a machine learning engineer — are involved in the development of these tools themselves. However, the elevated prevalence could also reflect greater comfort among employers in these sectors in adopting and using the new technology more broadly. For other sectors, like finance, accounting, and sales, the gradual incorporation of GenAI into businesses' workflow across the economy will likely mean that skill requirements related to the technology won't suddenly shift in the near term. Nonetheless, given the substantial overlap between the capabilities of tools like ChatGPT and the types of skills and tasks many workers perform, there's significant room for further growth as employers formalize their application of the technology. For job seekers, finding ways to familiarize themselves with GenAI tools today will likely help them get ahead of these trends going forward. recent research.
