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LinkedIn Users Race to Add AI Skills as Job Market Reshapes Around Tech

Recent data from LinkedIn reveals a dramatic surge in AI-related career opportunities and skills. Over the past year, job postings mentioning AI have increased sixfold, reflecting a sharp rise in the need for AI capabilities in today’s workforce. Meanwhile, professionals are responding to this demand—many report their profiles now highlight AI-related skills at a twentyfold higher rate compared to just two years ago .

This rapid shift demonstrates that AI fluency has transitioned from a niche requirement to a foundational competency across job roles. LinkedIn reports that while explicit mentions of AI in listings remain relatively rare appearing in only about one in 500 positions—the real expectation now is that candidates are comfortable using AI tools, even if not explicitly stated in job descriptions.

The transformation is poised to be broader and deeper. By 2030, it’s estimated that 70% of job skills will undergo significant change due to AI-driven automation and augmentation. This change is already reshaping hiring and professional development. Roles that were once purely operational—such as product managers, cybersecurity consultants, or administrative support—now increasingly require an understanding of AI tools. In tech sectors, AI engineering positions have emerged as the fastest-growing roles, with related listings seeing a 59% annual growth in the U.S. alone.

Even as this wave of demand continues, there is an urgent push for proactivity. LinkedIn data shows that professionals are adding AI-related competencies to their skillsets 140% faster than before, with terms like Copilot or ChatGPT now common in profiles . Employers confirm that comfort with AI tools is now a baseline expectation, and many hiring managers make it one of the first questions during interviews .

Crucially, programming or AI development expertise is not always mandatory. Many employers prioritize candidates who can integrate AI to enhance workflows—whether in marketing, project management, or product development. Worker sentiment mirrors this trend: around 76% of professionals believe AI skills are essential for advancing their careers .

The demand for AI capability brings another shift: a move toward skills-based hiring. Employers are expanding talent pools dramatically up to 12 times larger in markets like India by prioritizing competencies over formal credentials. This approach positions AI-trained individuals for accelerated career growth, even in the absence of traditional degrees.

In summary, the data paints a dynamic picture: AI is not just a buzzword—it is rapidly becoming an assumed part of almost every job. Job listings are referencing AI skills far more frequently, professionals are upgrading their credentials accordingly, and employers are adjusting hiring frameworks to prioritize demonstrable AI fluency.

For anyone navigating today’s job market, the message is clear: embracing AI literacy through hands-on learning, certifications, and real-world application, is no longer optional. It’s essential preparation for a future where AI competency defines both relevance and opportunity.

Autodesk and Arup Partner to Revolutionize Sustainable Building Design

Autodesk, a leader in architecture, engineering, and construction software, has teamed up with global engineering consultancy Arup to shape the future of sustainable infrastructure. The collaboration brings together Autodesk’s digital design expertise and Arup’s engineering leadership to develop next-generation tools that streamline building design, reduce environmental impact, and support data-driven decision-making across project lifecycles.

At its core, the partnership centers around the integration of Building Information Modeling and generative design with Arup’s sustainability standards and performance evaluation capabilities. Autodesk’s popular Revit and AutoCAD platforms will be enhanced with advanced simulation capabilities that allow engineers to evaluate energy consumption, material efficiency, carbon footprint, and occupant comfort during the early stages of design. This integration aims to empower teams to optimize projects before construction begins and eliminate costly late-stage modifications.

One of the flagship outcomes of the alliance is a unified solution that merges Autodesk’s generative design engine with Arup’s performance analytics. Designers can now generate thousands of design alternatives based on predefined sustainability goals—such as minimizing embodied carbon or maximizing passive daylighting—and compare them through side-by-side environmental simulations. This allows architects and engineers to make informed, data-backed choices while preserving aesthetics, cost-effectiveness, and code compliance.

Arup, known for its work on landmark sustainable projects around the globe, will pilot the solution on high-profile initiatives, including upcoming smart-city developments and net-zero corporate campuses. The consulting firm will provide real-world feedback to Autodesk, helping refine user interfaces, environmental modeling accuracy, and reporting capabilities. Eventually, the enhanced toolkit will be made available to Autodesk’s wider customer base—encompassing architectural firms, construction companies, and real estate developers.

Both companies are also investing in AI-powered automation and outcome-driven reporting. AI agents within Autodesk’s platform will continuously monitor design data, flagging energy inefficiencies or material overuse and suggesting targeted refinements. Meanwhile, automated sustainability scorecards will track project performance against benchmarks like LEED and WELL certification criteria.

Beyond design tools, Autodesk and Arup plan to offer training and support services that guide users in applying sustainable practices across diverse building types—schools, hospitals, commercial towers, and infrastructure systems. Virtual workshops and consulting packages will enable construction and engineering firms to harness these tools effectively and adopt sustainable workflows at scale.

Industry analysts see the partnership as a pivotal step for sustainable infrastructure. By embedding environmental intelligence directly into design platforms, the duo is lowering barriers for adopting green construction methods. As global building standards tighten and net-zero targets emerge across markets, this solution could help firms transition from traditional workflows to predictive, performance-driven practices.

The partnership also aligns with Autodesk’s broader sustainability ambitions. The company has pledged to be net-zero in its operations by 2030 and is working to help customers decarbonize the built environment which accounts for over one-third of global greenhouse emissions. Arup, too, has committed to sustainable engineering excellence and has already achieved carbon-neutral operations in many of its offices.

This collaboration promises to reshape how buildings are designed and operated—turning sustainability into a front-and-center design parameter rather than an afterthought. By fusing digital efficiency with environmental insight, Autodesk and Arup aim to support a future where high-performance, low-carbon buildings and communities become the norm.

Thales and Qatar Airways Establish In-Region IFE Service and Maintenance Hub in Doha

Thales and Qatar Airways have formalized an agreement to create a dedicated inflight entertainment service and maintenance facility in Doha. The initiative aims to provide rapid access to repair services, spare parts, technical assistance, and line maintenance for Thales’ comprehensive suite of IFE systems spanning Boeing 787‑8, A350, A380, and the newly added A321 NX fleet.

The collaboration builds on an enduring technology partnership. Thales has long supplied IFE solutions across Qatar Airways’ fleet and recently expanded this alliance to include the A321 NX series, which will feature the FlytEDGE cloud-native platform. With a focus on accelerating maintenance cycles and minimizing downtime, the new Doha hub is expected to enhance operational readiness across the airline’s growing fleet.

Thales Vice President of Aviation Global Services, Thomas Got, emphasized that the Memorandum of Understanding strengthens both companies’ commitment to operational excellence while establishing a local centre of IFE expertise in line with Qatar’s Vision 2030 goals. Ali Al Saadi, Qatar Airways’ Chief MRO Officer, described the initiative as a crucial advancement in maintaining technological edge and reliability aboard its aircraft.

Strategically positioned within the Doha aerospace and MRO ecosystem, the IFE hub will enhance Qatar Airways’ ability to support its rapidly expanding fleet. The service centre will streamline workflows by enabling swift component turnaround, inventory access, and expert troubleshooting. It will also serve as a training and technical development centre for local personnel, fostering high-skilled job creation in Qatar’s aerospace sector.

In alignment with Qatar Vision 2030, the facility underscores a shared objective: elevating operational independence and expertise domestically. By localizing maintenance tasks that previously required overseas coordination, the hub will improve service efficiency and support fleet expansion ambitions.

The FlytEDGE platform, set to be deployed on A321 NX aircraft, plays a central role in the agreement. As the world’s first cloud-native IFE system, FlytEDGE offers advanced personalization, streaming, and gaming options through an edge-caching architecture. Its onboard data centre enables rapid software updates and content delivery—features that are crucial for seamless IFE operations and performance in Qatar Airways’ modern fleet.

The partnership holds multiple benefits: for Qatar Airways, it means reduced aircraft downtime, enhanced on-board entertainment reliability, and accelerated technical support; for Thales, it strengthens product stewardship and supports aftersales excellence within a key regional market. Moreover, the facility will serve as a capacity-building asset, educating Qatari engineers and aligning with local workforce development initiatives.

This agreement furthers the existing synergy between the two companies. Thales also maintains a digital competence centre in Qatar, supporting innovation in cybersecurity, connectivity, and aviation technologies, thereby reinforcing a broader Indo-GCC collaboration in advanced aerospace systems.

In summary, the establishment of a Doha-based IFE service centre by Thales and Qatar Airways marks a transformative milestone in regional aviation support. The hub promises to enhance turn-around efficiency, strengthen technical capabilities, and support Qatar’s ambition for high-skill, knowledge-based economic growth while ensuring passengers benefit from reliable, cutting-edge inflight entertainment.

BFSI Brands Rein In Influencer Messaging Amid SEBI’s Finfluencer Crackdown

Regulatory pressure on social media “finfluencers”—financial influencers offering investment advice has prompted banking, financial services, and insurance brands to reshape their marketing strategies. In response to recent guidelines issued by India’s market regulator, companies are tightening their control over influencer messaging, pausing campaigns, and conducting stricter vetting to avoid unintended violations.

Under the new framework, individuals engaging with financial products online must now be SEBI-registered or strictly providing educational content without offering any performance claims. This move has led BFSI marketers to pause influencer collaborations scheduled during the festive season and re-evaluate ongoing campaigns. Brand managers and agencies are now conducting deeper due diligence on partner influencers, ensuring they comply with licensing, registration, and disclosure norms.

The stricter rules have prompted marketing shifts within the sector. Companies are adjusting content strategies—moving away from yield claims or return forecasts towards neutral, educational perspectives. This involves either eliminating paid tie-ups or significantly refining messaging to align with the regulator’s emphasis on transparency and accountability.

Industry experts note that these tighter rules may dampen short-term marketing activities. However, the silver lining lies in long-term credibility gains. Registered influencers—vetted by SEBI—bring added credibility and trust. Roughly 77% of BFSI firms already rely on influencer engagement to build brand trust, according to a recent study; the crackdown may reinforce the trend by spotlighting certified voices over casual advisory content.

Brands are also exploring strategic content pivots to align with compliance mandates. Campaigns centered on fintech education, comparative reviews, or fintech listicles—curated by credentialed finance writers—are gaining traction. Such content-based approaches allow for organic digital engagement without triggering regulatory flags.

At the ground level, confusion remains about who qualifies as a fin-fluencer, acceptable compensation models, and permissible content structures. Many marketers await further clarification from regulators. In the meantime, some brands are relying on agreements signed before the directive took effect, while others question the feasibility of monitoring influencer conduct at scale—given the sheer volume of unpaid grassroots content.

Regulatory experts caution that while issuing guidelines is straightforward, consistent enforcement across thousands of digital creators is complex. There are still concerns that some fintech startups may flout rules until enforcement intensifies. Market observers expect that platforms hosting influencer content may eventually develop transparency tools—like creator registration indices or content scoring—to help brands navigate compliance with greater confidence.

In conclusion, while SEBI’s crackdown on fin-fluencers could temporarily cool influencer-driven campaigns, it is also nudging the BFSI sector toward more disciplined and credible marketing practices. As regulatory clarity increases and platforms evolve with compliance tools, financial brands could benefit from restored trust and more responsible brand-influencer partnerships in the long run.

Tags: BFSIReinSEBI

UGRO Capital to Acquire Profectus for ₹1,400 Crore, Enhancing MSME Lending Push

UGRO Capital, a data-driven NBFC centered on lending to the MSME sector, has finalized a strategic all-cash acquisition of Profectus Capital for ₹1,400 crore. Funded through proceeds from a recent equity raise and internal accruals, the transaction is poised to significantly expand UGRO’s market footprint and lending portfolio, pending requisite regulatory and shareholder approvals.

Once completed, Profectus Capital will operate as a wholly owned subsidiary of UGRO. With an asset base of ₹3,468 crore as of March 2025, and an extensive footprint—28 branches spanning seven states—the acquisition is expected to augment UGRO’s Assets Under Management (AUM) by approximately 29%, bringing it close to ₹15,500 crore.

Leadership at UGRO highlights the strategic nature of this deal. Founder and Managing Director Shachindra Nath noted that the acquisition delivers immediate scale, estimated cost savings of ₹115 crore, and an anticipated ₹150 crore in incremental annual profit—boosting return on assets (RoA) by 0.6–0.7 percentage points. Further, Profectus’ expertise in school financing unlocks a new vertical with medium-term potential estimated at ₹2,000 crore, reinforcing UGRO’s position in secured lending.

Profectus’ focused lending areas—Loan Against Property (LAP), machinery finance, supply chain finance, and school financing—closely align with UGRO’s data-led underwriting model. The move strengthens UGRO’s secured asset mix and offers access to emerging markets and embedded finance opportunities. Market response has been upbeat. UGRO’s shares rebounded, registering a more than 7% intraday gain on the Bombay Stock Exchange following the announcement—reflecting investor confidence in the strategic and financial merits of the deal.

Profectus Capital, which has maintained stable asset quality with a Gross NPA of 1.6% and Net NPA of 1.1%, will integrate into UGRO’s distribution network. The acquisition is expected to enrich UGRO’s capabilities and reach, enhancing service delivery to its MSME clientele. The acquisition will be financed via UGRO’s ₹400 crore rights issue supplemented by internal funds. The company is also seeking approval for a preferential issuance of compulsorily convertible debentures as an additional funding contingency.

Completion of the transaction hinges on approvals from the Reserve Bank of India and shareholder nods. Advisors engaged in the deal include InCred Capital, SNG & Partners, PwC, and Legacy Growth Partners for UGRO, and Avendus Capital for Profectus.

This acquisition marks a major step in UGRO’s inorganic growth strategy and reinforces its commitment to closing the MSME credit gap through a scalable, tech-led approach. With an enhanced asset base, diversified product offerings, and improved operational efficiency, UGRO is well-positioned to emerge as one of India’s leading MSME-focused NBFCs.

AI is Rewriting Risk and Fraud Models in Lending: Recur Club CTO Shares What’s Next for BFSI in India

As India’s BFSI sector accelerates its digital transformation, artificial intelligence is emerging as the backbone of modern lending infrastructure. From real-time underwriting to fraud detection, AI is not just enhancing legacy systems, it’s redefining them. One company at the forefront of this shift is Recur Club, a revenue-based financing platform that operates as a debt marketplace for recurring-revenue businesses. Backed by a tech-first DNA, Recur Club is reimagining how capital flows in the startup and SME ecosystem. In a conversation with ObserveNow Media, the company’s Chief Technology Officer, Anirudh Bhardwaj, shared insights into how AI is helping the platform scale securely and intelligently.

While traditional lending still hinges on human judgment and fragmented datasets, players like Recur Club are embracing AI-native workflows. Bhardwaj reveals that their approach begins with real-time parsing of financial statements and compliance data using large language models (LLMs). 

1. As a debt marketplace, what specific AI use cases have you deployed in your risk assessment or underwriting process?

At Recur Club, we’ve reimagined risk assessment using AI-first principles. We’ve deployed LLM-powered document intelligence to parse and analyze financial statements, bank data, and compliance documents in real-time. Our underwriting agents can identify anomalies, compute risk scores, and recommend credit decisions faster than any manual process. Additionally, autonomous loan agents nudge borrowers to complete data gaps, enhancing input quality for downstream models.

2. Beyond financial metrics, what key performance indicators (KPIs) do you prioritize to measure success and ensure long-term sustainability?

We track deal velocity (lead-to-deal and deal-to-funding turnaround), data completeness score, and borrower experience index as leading indicators. These reflect operational health beyond just disbursed value. Additionally, AI adoption rate per workflow, and percentage of autonomous completions help us ensure the platform is scaling sustainably, not just growing.

3. Can you share your approach to combating financial fraud using AI or analytics?

Fraud detection in lending demands context-aware intelligence. We’ve trained our AI models on borrower behavior patterns across hundreds of data points—bank transactions, MCA filings, GST data—to catch inconsistencies and potential manipulation. We also use deep fuzzy matching to catch shell entities and OCR+AI combinations to validate document authenticity. This multilayered approach flags potential fraud before funds leave the system.

4. What are the biggest challenges you foresee in the BFSI sector as of now and how many have we overcome in the new?

The biggest challenge is data fragmentation—most BFSI players still operate in silos. AI can’t thrive on patchy or delayed data. We’ve partly overcome this through automated data orchestration pipelines, ensuring near real-time ingestion of compliance and financial data. However, the broader challenge remains: building interoperable, AI-ready infra across the lending ecosystem.

5. Have you integrated blockchain into any part of your operations? If yes, where and how?

While blockchain isn’t part of our core underwriting yet, we’re actively exploring it for tamper-proof audit trails of document verification and for tokenizing receivables to enable smart contract-based debt instruments. Our current pilots focus on lending syndication records and ensuring traceability across multiple stakeholder actions.

6. Have you adopted any AI-driven KYC or fraud detection systems? What has been the impact?

Yes. Our AI agents automate entity extraction and verification from KYC documents, match PAN/Aadhaar/MCA data, and flag edge cases in real-time. Impact? KYC TAT reduced by over 60%, manual dependencies are down, and the system self-learns from previous exceptions. This has improved trust with lenders and borrowers alike.

Women Engineering Students in India Show Growing Interest in AI/ML Careers

Women engineering students in India are demonstrating a strong and early commitment to careers in emerging technologies like artificial intelligence and machine learning, according to the byteXL AI and Engineering Jobs Report 2025.

The report is based on behavioural insights from over 100,000 students – 62,000 male and 38,000 female – using byteXL’s learning platforms. It draws from live platform data, including code practice and project workspace usage, offering a detailed view into how India’s next generation of engineers is learning. It tracks how students progress from basic programming to project-based learning and, finally, to choosing a specific career track. According to the data, 40 percent of female students reached the final stage of career track selection, compared to only 35 percent of male students. Among those who did, women showed a notably strong preference for AI and machine learning.

Artificial intelligence and machine learning are transforming various industrial sectors through decision-making, large scale personalization, and process automation. This never-ending process of innovation and transformation is what sparked my curiosity and led me to pursue AI/ML as a career path,” said a female student from Parul University, Vadodara.

The report also highlights surprising leadership from students in smaller towns and Tier 3 colleges. Nearly half (49 percent) of students identified a clear career path, outperforming peers from Tier 1 and Tier 2 colleges, who stood at 33 percent and 35 percent respectively. Tier 1 students, while more likely to dive directly into project-based learning due to prior exposure, showed comparatively less alignment with long-term goals.

Another significant trend is the rising preference for AI/ML careers among students from Tier 2 and Tier 3 cities. While only 16 percent of Tier 1 students selected AI/ML as their preferred track, interest soared to 37.9 percent among Tier 2 students and a striking 53.9 percent among those from Tier 3 colleges. Notable Tier 1 cities surveyed included Hyderabad and Pune, while Tier 2 cities featured Vijayawada, Nagpur, Chandigarh, and Dehradun.

“AI is rapidly transforming every industry, creating smarter solutions and opening new possibilities every day. As a passionate learner, I’m choosing AI/ML as my career path to be part of this innovation and solve real-world problems that matter,” said another female student from Malineni Lakshmaiah Women’s Engineering College, Guntur.

“There is a lot of hunger among students from smaller towns. Engineering continues to be a pathway to a better life. The fact that young women are excelling shows their determination and resolve to make a mark,” said Karun Tadepalli, CEO and Co-founder, of byteXL. “The report also shows how today’s engineering students are more intentional about their choices. Back in the 90s, switching tracks was rare – a programmer was expected to remain one for life. Today, with agentic AI playing a disruptive role in all aspects of life, students are being strategic about diversifying their skills and keeping their options open. They are making more thoughtful, future-ready choices,” he added.

The report highlights a generation of students that is not only learning faster but also thinking deeper about their futures. Their choices, especially in fast-evolving fields like AI/ML, signal a strong pipeline of innovation and talent emerging from across India, with women and students from smaller towns leading the charge.

Google Opens First APAC Safety Engineering Centre in Hyderabad to Bolster AI and Cybersecurity

Google has launched its inaugural Google Safety Engineering Centre in the Asia-Pacific region, inaugurated in Hyderabad. It marks the company’s fourth global hub focused on reinforcing online safety and user security across digital platforms.

The Hyderabad centre will play a pivotal role in safeguarding against evolving cyber threats and AI-related misuse. It will focus on developing advanced tools and systems designed for user protection, including capabilities to detect and thwart fraudulent activities and cyberattacks. The centre is also expected to support the responsible deployment of AI, ensuring emerging technologies are harnessed safely and ethically .

The inauguration was attended by Telangana Chief Minister Anumula Revanth Reddy and IT Minister D. Sridhar Babu, underscoring the importance of the initiative for the state’s technological vision. The move aligns with Hyderabad’s growing reputation as a global tech hub and is seen as a recognition of the city’s strong infrastructure and talent pool.

As part of Google’s broader safety strategy, the Hyderabad GSEC aligns with India’s national Digital Safety Blueprint, which advocates for collaborative solutions to address digital safety challenges. The centre will collaborate with local partners and authorities to develop safety features tailored to both local and global digital environments.

With this launch, Google continues to expand its global safety engineering network and emphasizes its commitment to securing digital interactions worldwide. The Hyderabad hub is anticipated to not only enhance user trust in online platforms but also contribute to skills development and employment in cybersecurity roles.

This launch signals a significant step forward in India’s journey toward building a robust digital ecosystem, combining technical innovation with proactive governance and collaboration.

IBM Drives India’s Leap Toward Software-Defined, AI-Powered Mobility

IBM is spearheading a major transformation in India’s automotive and mobility sector with its vision for software-defined, AI-powered vehicles. Drawing on its global “Automotive 2035” research and cutting-edge hybrid-cloud technologies, the company is charting a path for the industry’s next evolution toward connected, intelligent transportation.

A recent IBM Institute for Business Value study projects that nearly three-quarters of vehicles sold by 2035 will be software-defined and AI-enabled. The majority of auto executives surveyed now view software as central to brand differentiation, not merely as ancillary functionality. Moving from traditional static features, manufacturers are expected to deliver vehicles that evolve through continual updates and subscriptions, creating lifelong customer value through services such as over-the-air upgrades and enhanced connectivity.

IBM’s strategy emphasizes a complete shift in vehicle design and backend infrastructure. The company advocates a unified software architecture that embraces containerization and modular deployment via hybrid-cloud environments powered by technologies like Red Hat OpenShift and Linux. Such a framework enables automakers to develop, test, and deploy software across both vehicle on-board systems and remote datacenters consistently and agilely.

Central to IBM’s offering is its watsonx™ suite, providing AI tools tailored for automotive use cases—from real-time telematics and cybersecurity to over-the-air feature updates and autonomous driving support. This AI layer is bolstered by IBM’s hybrid intelligence framework, which supports model customization while ensuring the protection of proprietary data. It enables OEMs to validate, monitor, and tune AI-driven features on the move, all backed by watsonx governance controls.

IBM’s approach also underscores a cultural transformation within automotive companies. Moving from hardware-intensive development to iterative, software-centric models requires retraining engineers, adopting agile DevOps methods, and transitioning to cloud-native CI/CD pipelines. The company’s tools for systems engineering, change management, and digital twins aim to ease this paradigm shift.

Industry leaders have also highlighted the need to address new cybersecurity challenges. IBM advocates for zero-trust frameworks and advanced threat detection through integrated security platforms like QRadar, along with end-to-end encryption and vehicle security operations centers. These elements safeguard not only customer data but also the integrity of software updates and vehicle performance.

IBM’s global strategy resonates strongly in India, where digital mobility, edge computing, and regulatory emphasis on data-driven infrastructure are gaining momentum. IBM India executives note that while AI adoption is accelerating rapidly, many businesses struggle to scale—making hybrid cloud AI offers particularly relevant for the country’s evolving automotive and mobility industries.

By combining cloud, AI, and software-defined vehicle frameworks, IBM is enabling a future where cars are living platforms—continuously improving, personalised, and intelligent. As mobility converges with digital ecosystems, this vision positions India’s automotive sector to move beyond mechanical engineering toward dynamic, software-powered futures.

Tags: IBM

Salesforce Supercharges Agentforce to Deliver Embedded, Multimodal and Industry-Specific AI Agents

Salesforce has unveiled substantial enhancements to its Agentforce platform with its Summer ’25 update, positioning the tool as a no-code AI engine deeply integrated into enterprise workflows. The latest release embeds autonomous agents into every facet of the Salesforce ecosystem, enabling organizations to deploy personalized, context-rich AI tools across both customer-facing and internal operations.

One of the most notable additions is the extension of AI capabilities to employee-centric use cases. AI agents can now provide live guidance and support to staff via Salesforce’s Lightning interface, mobile app, and Slack. For example, a support agent might proactively surface troubleshooting steps during a case resolution or offer tailored suggestions to a sales rep preparing for an upcoming meeting.

Agentforce’s “Agent Surfaces” feature enables agents to deliver responses enriched with visuals, multimedia, or interactive elements tailored to specific user contexts, moving beyond plain text and ensuring richer engagement across channels. Multimodal support has also been introduced, allowing agents to process and understand inputs that include images, audio, and video—enhancing their utility across more complex enterprise scenarios.

Salesforce has bolstered its sales enablement capabilities through AI-driven automation within Sales Cloud. Agents now continuously maintain CRM data accuracy by suggesting and auto-updating opportunity stages, next steps, and follow-up actions based on conversation insights. Automated outreach has also been expanded to encompass Contact and Person Account workflows, while built-in message previews and multilingual support enable more sophisticated and global communication strategies.

Behind the scenes, Salesforce has invested in tools for administrators and developers. The update includes AI-assisted topic creation within Agent Builder, a scalable testing environment, and extensions to pro-code interfaces like CLI and Visual Studio Code. These enhancements streamline the configuration, deployment, and governance of AI agents while maintaining robust enterprise compliance and oversight.

Salesforce continues to build its industry-specific strategy by offering rich Agentforce modules tailored to sectors such as financial services, healthcare, manufacturing, and retail. Each module leverages domain-specific data models and workflows, enabling enterprises to deploy agents capable of actions like predicting maintenance needs, preparing client meeting briefs, or summarizing complex regulatory information—then handing over to humans when further context is required.

With this launch, Salesforce is shifting Agentforce’s perception from a pilot tool to a core operational solution designed for everyday use. Its no-code agent creation, orchestration across multimodal channels, and industry-aligned intelligence speak to a future where autonomous AI labor works seamlessly alongside human employees across any role or workflow.

Salesforce believes its approach bridges the gap between generative AI hype and practical usage. By embedding agents deeply into CRM and productivity systems, the company aims to improve efficiency, enhance experiences, and unlock measurable business outcomes. As Agentforce becomes a default layer throughout Salesforce, organizations are positioned to reap these benefits while maintaining atomic control, compliance, and contextual relevance.

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