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The shifts transforming HR leadership in 2025 and how you can adapt
The shifts transforming HR leadership in 2025 and how you can adapt

Time of India

time12-05-2025

  • Business
  • Time of India

The shifts transforming HR leadership in 2025 and how you can adapt

As technology continues to transform every facet of the business landscape, the HR function is no longer simply about hiring, compliance, or employee relations. It is now a strategic pillar that determines whether organisations can keep up with disruption or risk falling behind. HR professionals need to develop new skills that go beyond traditional people management to stay ahead of these changes. By 2025, five trending key skills are likely to shape strong HR leadership: AI literacy, data fluency, skills-first talent management, digital tool adoption, and ethical leadership. These are not passing trends; they are enduring shifts driven by systemic change in how organisations function, make decisions, and engage their workforce. The AI revolution in HR The integration of Artificial Intelligence (AI) and Generative AI (GenAI) into core HR processes is one of the most profound developments in recent years. From automating repetitive tasks like resume screening to generating personalised learning pathways or using AI-powered chatbots to support employee queries, the scope of AI in HR is vast. More importantly, AI is now being used to forecast talent needs, identify attrition risks, and even nudge managers towards more equitable decision-making. Yet, the real value lies not in the technology itself, but in how HR professionals learn to apply it. According to a 2023 McKinsey Global Survey, only 21% of organisations report 1 having the necessary capabilities to fully implement AI in HR functions, highlighting a critical gap between ambition and execution. How data-driven decision-making became the new normal Gone are the days when HR decisions were based on gut instinct or static yearly reviews. In the digital era, data-backed insights drive every people strategy, from workforce planning to performance management. The World Economic Forum predicts 2 that by 2025, analytical thinking will be among the top five skills in demand across all industries. For HR, this means mastering platforms that turn raw data into actionable insights. Tools like Power BI and Tableau are now essential to build HR dashboards that not only track metrics but also provide predictive insights. Whether it's calculating cost-to-hire or mapping talent availability against business goals, the ability to interpret data at speed and scale is becoming a non-negotiable skill. Evolving from roles to skills in the new talent economy One of the most transformative trends in workforce planning is the move from role-based hiring to skills-based workforce design. Organisations are increasingly rethinking job descriptions, breaking them down into component skills, and using this intelligence to reskill existing employees rather than looking externally. According to McKinsey Global Survey 3 , 87% of companies are either already experiencing or expecting skill gaps in the near future. This shift places HR leaders in a key role, where they must assess current skills, spot gaps, and help employees move into new roles. Building a future-ready workforce now means not only knowing which skills are in demand but also encouraging a culture of ongoing learning. Digital fluency in HR tech ecosystems HR technology has rapidly evolved into a complex, integrated ecosystem. HR management software that employees use on a daily basis at work is not just an administrative tool; it serves as the digital backbone for everything from performance evaluations to engagement surveys and onboarding experiences. For HR professionals, digital fluency now means understanding how to evaluate, adopt, and optimise these platforms for enhanced efficiency and impact. Learning to navigate these tools effectively and align them with business goals requires a blend of technical knowledge and strategic thinking. The future HR leader must be both a tech-savvy operator and a human-centred innovator. Integrating ethics and inclusion into tech-enabled HR As technology takes on a greater role in people's processes, there is a parallel and growing responsibility to ensure fairness, transparency, and inclusion. Ethical leadership is not just about policy; it's about building systems that minimise bias, support psychological safety, and foster belonging at every touchpoint. AI and analytics can easily replicate and amplify human biases if left unchecked. That's why future-ready HR leaders need to actively engage with concepts like algorithmic bias, DEI (Diversity, Equity, Inclusion), and responsible AI deployment. Creating inclusive experiences, especially in hybrid or remote settings, will remain a core mandate. For HR professionals aiming to lead in this new era, investing in continuous learning is not just advisable, it's essential. The Transforming HR with Analytics and AI programme by ISB Online is designed to equip future-ready HR leaders with practical tools and strategic insight. Backed by the academic excellence of ISB, India's #1 business school (FT Global MBA Ranking 2025), ranked among Asia's top five and globally among the top 30 with triple accreditation (AACSB, AMBA & EQUIS), the programme blends live faculty sessions, real-world case studies, and hands-on experience with tools like Power BI and AI-based workforce modelling. To navigate what lies ahead, HR professionals need more than just awareness; they need the right capabilities, mindset, and tools, which this programme effectively delivers. What sets this programme apart is its immersive learning design offering self-paced video lectures by ISB faculty, live fireside chats with globally renowned ISB faculty and industry experts, interactive product showcases with platforms like Darwinbox, Deloitte, and StaffGenie, real-world case studies, analytics tools and a capstone project to tie theory to action. With modules on AI, Generative AI, and HR analytics, it delivers practical, industry-aligned knowledge tailored for HR professionals looking to lead with confidence. In a nutshell As we look toward 2025 and beyond, the HR role is changing faster than ever, driven by advances in AI, data analytics, and a dynamic workforce. To stay relevant and lead this transformation, HR professionals need to develop new skills that go beyond traditional people management, focusing on data-driven decisions, AI understanding, and a future-focused mindset. For those looking to be at the forefront of this change, ISB Online's Transforming HR with Analytics and AI Programme offers a comprehensive, hands-on learning experience that prepares HR professionals to tackle the challenges of the future and transform HR into a business-critical driver. Reference/s:

Workflow Automation: Streamlining Business Processes with Generative AI Integration Services
Workflow Automation: Streamlining Business Processes with Generative AI Integration Services

Time Business News

time09-05-2025

  • Business
  • Time Business News

Workflow Automation: Streamlining Business Processes with Generative AI Integration Services

In 2025, Generative AI Integration Services are at the forefront of enterprise digital transformation, redefining how businesses automate workflows, eliminate redundancies, and drive strategic growth. With the proliferation of large language models (LLMs), image synthesis tools, and multimodal AI systems, organizations are now empowered to automate not just mechanical processes but also creative and cognitive tasks across departments. The Rise of Generative AI Integration Services in Workflow Automation The integration of Generative AI into business workflows is no longer an emerging trend—it's a necessity. As per a 2025 McKinsey Global Survey, over 60% of enterprises have adopted some form of Generative AI Integration Services in their operations. These services combine advanced machine learning models with tailored API integrations, RPA (Robotic Process Automation), and cloud-native solutions to create intelligent, self-optimizing systems. Key drivers of adoption include: Growing demand for 24/7 operational continuity. Need for hyper-personalized customer experiences. Competitive pressure to reduce operational costs. The rise of remote and hybrid workforces. Automating Repetitive Tasks Across Departments Generative AI Integration Services enable organizations to automate complex workflows that traditionally required human oversight. Here's how different departments are benefiting: 1. Marketing & Content Operations Automatic generation of SEO-optimized blog posts, email campaigns, and social media content. AI-driven brand consistency with prompt-based content approvals. 2. Customer Service & Support AI chatbots that understand nuanced queries and resolve issues autonomously. Multilingual virtual assistants integrated across support platforms like Zendesk and Intercom. 3. HR and Recruitment Automated job descriptions, candidate screening, and interview scheduling. Personalized onboarding experiences powered by generative video and text content. 4. Legal and Compliance Drafting and summarizing contracts with embedded compliance checks. Regulatory documentation generation with real-time policy updates. 5. Finance and Procurement Invoice processing and approval workflows with anomaly detection. Automated procurement documentation and vendor communication. 6. IT Operations and DevOps Auto-generated scripts and infrastructure-as-code templates. Intelligent incident response and ticket resolution workflows. 2025 Insights: What's New and What's Next 1. Multimodal AI Integration: Generative AI in 2025 is no longer limited to text. Services now support text, voice, image, and code generation within unified workflow platforms. For example, sales teams use AI to auto-generate visual proposals from CRM data in real time. 2. Autonomous Agents: Autonomous AI agents powered by Generative AI Integration Services can initiate tasks, interact with systems, and make decisions with minimal human input. From setting up meetings to launching email campaigns, these agents are revolutionizing digital task management. 3. AI-Native Process Reengineering: Organizations are reengineering legacy workflows entirely around AI capabilities—shifting from AI-enhanced to AI-native operations. AI becomes not just a helper but the backbone of the workflow itself. 4. Real-Time Collaboration Between AI & Human Teams: New tools like AI copilots are embedded into SaaS platforms (e.g., Microsoft 365 Copilot, Google Workspace Duet AI), enabling real-time collaboration where humans and AI edit documents, generate insights, and manage tasks together. 5. Predictive Workflow Optimization: Generative AI models now anticipate process inefficiencies and dynamically re-route workflows for improved throughput and accuracy. Strategic Benefits of Generative AI Integration Services 1. Enhanced Efficiency & Speed Businesses reduce turnaround time on tasks like data entry, content creation, and report generation by up to 80%. 2. Cost Optimization By automating previously labor-intensive processes, companies save millions annually. Generative AI reduces reliance on outsourced manual work. 3. Workforce Empowerment Employees spend more time on strategic, creative, and value-generating activities. AI handles routine work, improving morale and productivity. 4. Competitive Edge Early adopters of Generative AI Integration Services report faster time-to-market for products and improved customer satisfaction scores. 5. Scalability with Flexibility Workflows scale effortlessly as business needs grow, without increasing headcount. AI systems adjust dynamically to workload changes. Implementation Roadmap Step 1: Workflow Audit Identify manual processes, bottlenecks, and repetitive tasks across departments. Step 2: Choose the Right Generative AI Integration Partner Select vendors that provide customizable, secure, and scalable integration services aligned with your tech stack (e.g., OpenAI, Azure, AWS Bedrock). Step 3: Pilot & Test Run proof-of-concept projects in isolated environments before scaling. Step 4: Governance and Compliance Establish data privacy, ethical use, and regulatory compliance frameworks. Step 5: Train & Upskill Teams Equip employees with skills to work alongside generative AI tools for maximum synergy. Step 6: Monitor & Iterate Regularly evaluate performance and refine workflows using AI-powered analytics. Frequently Asked Questions (FAQs) Q1. What are Generative AI Integration Services? A: These are services that connect generative AI models (text, image, audio, video, and code generation) with enterprise systems and workflows to automate tasks, enhance creativity, and boost operational efficiency. Q2. What types of businesses benefit most from these services? A: Any business with repetitive processes, large volumes of content, or complex decision-making benefits—especially in sectors like FinTech, healthcare, eCommerce, HR, and customer service. Q3. Is Generative AI integration secure and compliant with data regulations? A: Yes. Top providers ensure GDPR, HIPAA, SOC 2, and other regulatory compliance with robust encryption, access control, and audit trails. Q4. How does it differ from traditional automation? A: Traditional automation follows predefined rules. Generative AI Integration Services use dynamic, data-driven models that adapt, learn, and generate outputs intelligently, often handling creative or unstructured tasks. Q5. What's the ROI of implementing Generative AI Integration Services? A: Organizations report up to 3–5x returns in cost savings, productivity, and time efficiency within 6–12 months of implementation. Q6. Can these services be customized for industry-specific needs? A: Absolutely. Generative AI solutions can be fine-tuned using industry data and integrated with sector-specific platforms to meet tailored business goals. Final Thoughts In an era defined by agility, scale, and digital fluency, Generative AI Integration Services are a cornerstone of future-ready business operations. The potential to reimagine workflows, unlock human creativity, and deliver unprecedented operational speed makes 2025 the perfect time for organizations to invest in this transformative technology. By strategically integrating generative AI into everyday processes, companies are not just automating—they're innovating at scale. TIME BUSINESS NEWS

It's National Small Business Month: Consider these tools to maximize productivity and profitability
It's National Small Business Month: Consider these tools to maximize productivity and profitability

Business Journals

time01-05-2025

  • Business
  • Business Journals

It's National Small Business Month: Consider these tools to maximize productivity and profitability

When a company implements tools to boost productivity, it allows the business owner and key employees to spend more time on revenue-generating activities than on tedious manual tasks. Meanwhile, tools that increase profitability allow a business to grow, add new equipment and make key hires. That's why, in today's competitive economic landscape, small businesses are adopting Customer Relationship Management (CRM) software, social media, artificial intelligence (AI), cybersecurity and mobile apps. These tools can help with the continued success of these firms, which is important to the health of the U.S. economy – 31.7 million small businesses sell their products and services near and far. In honor of Small Business Month in May, here's a look at how these tools help with productivity and profitability. CRM: CRM is a technology tool that helps a business manage its customer database, track the progress of sales leads, send follow-up emails to potential customers and gauge the performance of marketing campaigns. The U.S. is experiencing a surge in demand for CRM software, driven by a growing focus on improving customer experiences and streamlining sales processes, according to Statista. Although CRMs won't necessarily help you land new customers, they can help sustain existing relationships by automating services and customizing customer experiences based on historical interactions, according to the U.S. Chamber of Commerce. Social media: Small businesses need to constantly attract new customers and generate repeat business and that means meeting people where they are, as noted on According to Statista, there were more than 5 billion social media users worldwide in 2024, which could increase to 6 billion in 2028. Using social media platforms like Facebook, X and Instagram can help a business boost profitability. As the business publication reports, social media increases brand awareness, drives leads and sales, fosters authentic customer relationships, breaks through advertising noise, helps you stand out from larger competitors, sends traffic to your website and enhances customer communication. An added benefit is that it's less expensive than other forms of advertising. Artificial intelligence (AI): The use of AI in business is on the rise, according to the latest McKinsey Global Survey on AI. Seventy-eight percent of companies said their organizations use AI in at least one business function, up from 72% in early 2024 and 55% a year earlier – a trend driven by larger companies. AI tools can also make money for small businesses, Forbes reported, by automating routine tasks, enhancing customer experiences, optimizing inventory management, streamlining financial management and fostering innovation and growth. Small business owners can gain the maximum benefits from AI tools by starting small, selecting AI tools specific to their needs and scaling incrementally as they gain proficiency with the technology. Such an approach enables entrepreneurs to focus on creative solutions for business challenges and pursuing new business opportunities. Cybersecurity: Ninety-four percent of small and medium-sized businesses (SMBs) consider cybersecurity critical to success, according to a report from Microsoft Security and Bredin. These businesses are susceptible to cyberattacks and their aftereffects because they typically lack the tools and internal IT experience to prevent, detect and respond quickly. Businesses reported spending on several tools to protect themselves, including phishing and ransomware protection. 'Savvy SMBs are taking steps to shore up protection for precious company and customer data and other assets,' the report said. 'Putting tools and technical expertise in place to prevent attacks has become a key success factor.' Not having to deal with a cyber breach allows the business owner to stay focused on core operations. Profitability is impacted by not having to pay the high cost of an incident. Mobile apps: As reported in Entrepreneur magazine, nearly 60% of small and medium-sized businesses do not have a mobile app. This means they're missing an opportunity to reach most consumers – who own and use smartphones – in a simplified way. The good news is 28% of SMBs plan to develop one in the future. 'A dedicated app for a business can strengthen a brand's voice, build brand recognition, grow loyalty amongst customers and keep a small business competitive,' the report said. 'This may sound like an expensive undertaking for SMBs; however, by choosing an ecommerce app that you own rather than an online marketplace, you won't run into the added fees that some marketplaces charge per month or per sale.' These apps impact productivity and profitability in numerous ways, according to Adobe for Business. This includes building a stronger brand, improving customer engagement and loyalty and creating personalized marketing channels.

Disrupt Yourself Before The Market Does With Proactive Obsolescence
Disrupt Yourself Before The Market Does With Proactive Obsolescence

Forbes

time09-04-2025

  • Business
  • Forbes

Disrupt Yourself Before The Market Does With Proactive Obsolescence

When was the last time your company genuinely questioned its own future? And I mean really questioned it. Most businesses, in their annual strategic planning, are focused on growth, expansion, and securing their place in an ever-competitive market. But what if the key to surviving the next decade wasn't about safeguarding what you have, but actively imagining how it might perish? It's a tough but essential question to ask in today's unpredictable environment. In a world where markets shift rapidly, where technology evolves at an exponential rate, and where even the most well-established companies can become obsolete in the blink of an eye, strategic planning has to go beyond business as usual. It's about practicing proactive obsolescence—the radical idea of purposefully preparing your company to become obsolete before others beat you to it. Innovation means letting go—before you're left behind. The concept of proactive obsolescence may seem counterintuitive at first. After all, no one wants their business to fail. But the idea behind it is rooted in a simple truth: if you don't disrupt yourself, someone else will. The most successful companies in the modern era aren't those that simply focus on growth—they are the ones that anticipate change and innovate ahead of the curve. Consider the rise of Apple. While other tech giants were focused on simply maintaining their market share, Apple was obsessed with constantly reinventing itself. They disrupted their own products and services—like moving from computers to personal devices and later introducing the iPhone, which revolutionized the smartphone market. Apple's strategy of creating its own obsolescence has kept the company at the forefront of innovation for over a decade. Research backs this up. A study published by the Harvard Business Review suggests that companies practicing proactive obsolescence tend to outperform those that don't. This involves identifying aspects of your product or service that may eventually be rendered obsolete by new technology or changing customer preferences—and then pushing those elements out of the way before competitors do. By taking the initiative to evolve or pivot, businesses don't just survive—they thrive. The global business landscape is increasingly volatile. A McKinsey Global Survey published in September 2024 noted that businesses today are navigating a "perma-crisis"—a term used to describe the continuous disruption caused by geopolitical shifts, technological advancements, and social change. For businesses, this means that the future is never certain, and the need to adapt is constant. In this context, relying on traditional planning methods or merely reacting to external threats is a recipe for failure. Futurist and author James Canton calls this "strategic foresight"—the practice of anticipating future challenges and opportunities before they happen. He suggests that businesses that fail to invest in long-term vision and adaptability are the ones most at risk of becoming irrelevant. By imagining obsolescence, companies are forced to think through potential future scenarios and invest in innovation and disruption before it's too late. This is where proactive obsolescence comes in. Companies that look ahead and intentionally work to "kill" their old models, processes, or products are setting themselves up for longevity. They're not waiting for their business to become obsolete. Instead, they're creating new versions of themselves before the market forces them to change. So, how can your organization put proactive obsolescence into practice? It starts with fostering a culture of innovation and embracing a mindset that values change over complacency. Here are some ways to do that: Living in an era of constant disruption and uncertainty means proactive obsolescence isn't just a smart business strategy—it's essential for survival. According to McKinsey, organizations that embrace change and adapt faster than their competitors are more likely to experience sustained growth. Companies that don't recognize the threats of tomorrow will likely find themselves irrelevant in a world that values agility and innovation above all else. By embracing proactive obsolescence, you aren't just preparing for the worst—you're preparing for the best. You're creating a culture that is constantly evolving, always innovating, and never afraid to disrupt its own status quo. It's time to start "killing the company" in your strategic planning meetings. When you look at your business with an eye toward its own obsolescence, you empower your team to find new paths to success, keeping your company not just in the game, but ahead of it.

Tesla, Inc. (TSLA): Among Stocks That Will Profit From AI
Tesla, Inc. (TSLA): Among Stocks That Will Profit From AI

Yahoo

time05-04-2025

  • Business
  • Yahoo

Tesla, Inc. (TSLA): Among Stocks That Will Profit From AI

We recently published a list of . In this article, we are going to take a look at where Tesla, Inc. (NASDAQ:TSLA) stands against other stocks that will profit from AI. Artificial Intelligence (AI) is no longer a concept of the future but a real economic force influencing markets. By transforming corporate processes and enhancing manufacturing, AI is leading the way for efficiency, innovation, and profitability. The first-movers in this space who are developing, enabling, or adopting AI technologies are positioned to capitalize on a fast-growing economy. AI has been quick to capture the markets and revolutionize industries. According to McKinsey's 2024 Global AI Survey, the use of generative AI has skyrocketed. Now, 50% of businesses are leveraging its capabilities—a jump from just 33% in 2023. AI integration across business functions has also surged, with 72% of companies now deploying AI in at least one area. This surge is not just attributable to automation but also to redesigning workflows, enhancing productivity, and redefining the way industries function. The latest McKinsey Global Survey on AI showed that organizations are implementing strategies to boost their bottom line, redesigning workflows for generative AI deployment, and appointing senior leaders to oversee AI governance. Larger enterprises, particularly those exceeding $500 million in annual revenue, are leading the way, pivoting faster than their smaller counterparts in adapting to AI-driven efficiencies. According to industry forecasts, the generative AI market is projected to expand from $40 billion in 2022 to a staggering $1.3 trillion by 2032. Thomson Reuters further reported AI's impact on productivity, predicting that professionals could save up to 12 hours per week by 2029, owing to AI-powered automation. As AI continues to evolve, its influence is spanning across industries from finance to healthcare, making it an essential factor in investment strategies. Big tech is doubling down on AI investments. One of the two major tech gaints has earmarked $80 billion for AI initiatives this fiscal year, while another one has committed up to $65 billion, demonstrating their long-term faith in AI's profitability. Meanwhile, a major e-commerce and cloud services provider is making a bold move with a $53 billion investment in cloud computing and AI infrastructure over the next three years, surpassing its AI expenditures from the past decade. Gartner's 2024 survey underscores AI's expanding footprint, revealing that finance AI adoption has risen dramatically, with 58% of finance functions now utilizing AI—up 21 percentage points from 2023. As AI continues to drive fundamental shifts in business operations and market strategies, investors must react with agile investment strategies. The AI landscape is no longer restricted to tech giants, but a broad spectrum of industries and companies are increasingly adopting AI into their core strategies. The next section looks at the ten best AI stocks that can capitalize on this AI revolution. For this list, we identify the stocks that will profit from AI by classifying them as AI Enablers (companies operating in developing AI models, chips, and cloud infrastructure) or AI Adopters (companies that are leveraging AI for efficiency and innovation). Stocks are filtered using AI-specific metrics across sectors like semiconductors, cloud computing, healthcare, and financial services. We have then ranked them according to their growth estimates for 2025 and hedge fund sentiments. We have used Insider Monkey's Q4 2024 exclusive proprietary database of hedge funds to arrive at our rankings. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter's strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (). EPS next year: 36.83% Number of Hedge Fund Holders: 126 Tesla, Inc. (NASDAQ:TSLA) is a leading innovator in the electric vehicle (EV) and sustainable energy sectors. In January 2025, the company unveiled a redesigned Model Y in China, featuring a full-width light bar for daytime running lights and taillights, an additional touchscreen for rear passengers, and an extended range of 719 km for the long-range version. Tesla's stock has experienced volatility in 2025, with shares declining over 40% year-to-date, facing serious competition from Chinese carmaker BYD. In Q4 2024, Tesla, Inc. (NASDAQ:TSLA) has faced some headwinds, with sales declining in the European market by 49%. BYD continued to gain traction, reaching a $107 billion revenue for the year. Tesla, Inc. (NASDAQ:TSLA) has retaliated with key strategic moves in multiple areas. The company announced the launch of a more affordable $25,000 EV aimed at broadening market accessibility. Plans for the initial robotaxi rollout in select U.S. cities will also strengthen market presence in autonomous vehicle technology. On March 24th, Tesla announced that it will introduce Full Self-Driving (FSD) in China once regulatory approvals for over-the-air software updates are secured. The news sparked a nearly 12% rally in Tesla's stock. However, prominent investors such as Cathie Wood of Ark Invest remain optimistic. Wood maintains a five-year price target of $2,600, citing Tesla's potential growth in new models and autonomous ride-sharing ventures. Analyst sentiment remains relatively strong, with 51% of 57 analysts still recommending a Buy. Overall, TSLA ranks 1st on our list of stocks that will profit from AI. While we acknowledge the potential of TSLA, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns, and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than TSLA but that trades at less than 5 times its earnings, check out our report about this READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio

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