The Influence of AI Across Industries

The Rise of Industrial AI: What it is and Why it Matters Consumer AI personalizes daily life, enhancing convenience and effortless creation. Industrial AI goes deeper—reengineering core processes that power economies, transforming productivity, safety, and environmental sustainability. MIT defines Industrial AI as the application of AI to improve, automate, and optimize large-scale industrial processes, in sectors like manufacturing, aerospace, oil and gas, and utilities. At its core, #IndustrialAI uses machine learning, predictive analytics, and data processing to optimize complex industrial environments in real-time, enabling systems to anticipate issues—whether by foreseeing equipment malfunctions or adjusting supply chains dynamically. In the next 3-5 years, Industrial AI will shift from enhancing efficiency to becoming indispensable — whether for automating factories or managing assets through "digital twins" (virtual replicas of physical assets) for unprecedented control and precision. Integrating Industrial AI with emerging fields like quantum computing, will also open doors to complex problem-solving previously deemed insurmountable. How Will Industrial AI Transform Key Sectors? · Aerospace & Defense: boost safety, fleet efficiency through predictive maintenance and analytics. · Manufacturing: drive smart factories with automated workflows, reducing waste and raising productivity. · Telecoms: optimize network reliability and performance as 5G and IoT demands surge. · Oil & Gas: enhance operational safety and environmental compliance through predictive monitoring. · Utilities: strengthen grid resilience and energy efficiency by predicting demand and integrating renewables. · Engineering & Service: extend asset longevity and reduce costs with AI-driven maintenance and real-time insights. Implications for Government and Policy: Governments will fund and prioritize #AI initiatives to stay competitive. As Industrial AI becomes critical to sectors like energy, defense, telecoms etc, countries will need robust data privacy and cybersecurity to mitigate risks associated with its integration into essential and sensitive sectors. Labor displacement accompanies any industrial revolution. High-skill jobs will emerge in AI management, while automation in repetitive tasks will mean retraining policies and ethical AI deployment becomes paramount. Developing nations with strong industrial bases may accelerate economically through AI-driven efficiency, while economies slower to adopt Industrial AI risk falling behind. Industrial AI also supports #sustainability goals, optimizing energy consumption, reducing waste, and enabling efficient resource allocation. This shift promises not only economic benefits but also environmental gains, enhancing urban infrastructure and quality of life.

𝐓𝐡𝐞 𝐩𝐫𝐞𝐬𝐞𝐧𝐭 & 𝐟𝐮𝐭𝐮𝐫𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐀𝐈 𝐨𝐧 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐫𝐨𝐥𝐞𝐬 𝐚𝐧𝐝 𝐣𝐨𝐛𝐬 𝐛𝐲 𝐫𝐞𝐯𝐢𝐞𝐰𝐢𝐧𝐠 𝐭𝐡𝐞 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐩𝐚𝐭𝐞𝐧𝐭𝐬. Artificial intelligence (#AI) is on the brink of revolutionizing numerous industries, and its specific impact on individual professions is a puzzle. Daniele Quercia and the team have introduced a groundbreaking approach, using machine learning to study AI itself. Their pioneering research, which uncovers #artificialintelligence patents that could reshape various job roles, is now available in PNAS Nexus, promising to unravel the mysteries of AI's impact on professions. The model meticulously examined 17,879 task descriptions from O*NET, a comprehensive database of jobs run by the US government, and 24,758 AI patents filed with the US Patent and Trademark Office between 2015 and 2022. The goal was to determine the degree of similarity between the two sets of descriptions in terms of meaning. This was not a mere word-matching exercise; it involved matching entire task descriptions to entire patents, ensuring a thorough analysis. For each activity, the most similar patent was identified. If the patent bore more than a 90% resemblance to the task, it was deemed AI-impacted. The researchers then calculated an AI Impact (AII) score for each occupation. To calculate this score, divide the total number of tasks in that occupation by the number of tasks affected by AI patents. This provides a clear indication of AI's impact. Using this strategy, the scientists have unveiled the most affected jobs, including orthodontists, security guards, and air traffic controllers. Equally significant, the study has also identified the jobs with the most negligible impact, including pile driver operators, dredge operators, and agricultural product graders. These findings underscore the importance of the research in understanding the impact of AI on various professions. Link to the paper: https://buff.ly/4ddi4iM Dynamic visualization: https://buff.ly/3ZxbAYX

𝐀𝐈 𝐈𝐬 𝐀𝐥𝐫𝐞𝐚𝐝𝐲 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐖𝐨𝐫𝐤—𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 29 𝐘𝐞𝐚𝐫𝐬 𝐢𝐧 𝐓𝐞𝐜𝐡 𝐇𝐚𝐬 𝐓𝐚𝐮𝐠𝐡𝐭 𝐌𝐞 After nearly three decades in the tech industry, I’ve seen game-changing transformations—from the early days of enterprise software to the rise of cloud computing, automation, and now AI. But what’s happening today with AI-driven workplace transformation is unlike anything before. Microsoft is leading this charge, and Microsoft Copilot is not just another tool—it’s an architect of efficiency, innovation, and strategic decision-making. Across industries, AI is not replacing people; it’s amplifying human potential and reshaping workflows in ways that were unimaginable a few years ago. The Real-World Impact of AI Across Key Business Functions: ✅ Customer Service: AI is reducing case resolution time by 11.5%, allowing teams to focus on complex problem-solving instead of repetitive queries. ✅ Sales: In some divisions, AI-powered insights have driven 9.4% higher revenue per seller—proof that intelligent automation enhances, not replaces, human expertise. ✅ Marketing: We’re seeing a 21.5% increase in conversion rates—AI is making data-driven personalization a reality at scale. ✅ Human Resources: AI-enhanced self-service tools now deliver 42% greater accuracy, giving HR leaders more time to focus on strategy and people development. ✅ Finance: A 60% reduction in case resolution time—AI is eliminating bottlenecks and enhancing decision-making in cash collections and financial operations. ✅ Legal: Even in the highly regulated legal space, AI is expected to reduce external regulatory spend by 5% by automating compliance and risk assessment. ✅ IT: AI-driven self-help tools have improved self-resolution rates by 36%, empowering employees while reducing IT workload. The Future of Work Isn’t About Automation—It’s About Augmentation The biggest lesson from 29 years in tech? Every major technological shift rewards those who adapt early and embrace change. This isn’t just about efficiency—it’s about reimagining the way we work. AI won’t take jobs; it will redefine roles. Leaders who harness AI as a collaborator—rather than fearing it—will drive the next wave of innovation. 🔹 The real differentiator in this AI-powered world? Your ability to think critically, lead with insight, and leverage AI as a force multiplier. So, are you ready to adapt? Let’s talk about how AI is impacting your work. Drop your thoughts below! ⬇️ #AI #FutureOfWork #Leadership #DigitalTransformation 

The AI hype cycle is fading, but its prevalence is only set to grow.    As I shared with Rocio Fabbro at Quartz, AI is becoming less of a rising star and more of a behind-the-scenes operator that’ll quietly (but significantly) influence how organizations think about every process, product, and decision.    We’re at an inflection point where AI is poised to evolve much like electricity 💡: invisible in our daily lives but powering everything. It won’t be about if AI is being used -- but how it’s driving transformation across industries.    Here’s what else is ahead according to Deloitte’s 2025 Tech Trends (https://deloi.tt/3BYn523):    🤖 AI Everywhere: We’re moving from experimentation to operationalization, with AI embedded into other major innovations—spanning customer service, supply chains, product development, and beyond.    📊 Fusing Small and Large Language Models: It’s not a matter of “either/or” between large and small language models—it's both. Organizations are combining the right models to address business needs.    🖥️ Practical Applications for Quantum Computing: From post-quantum cryptography to solving problems beyond the limits of traditional computing, the horizon is expanding. The AI of 2025 will be smarter, more focused, and deeply integrated into everything we do – albeit more quietly. The hype may fade, but the impact is just beginning! 

In recent conversation with IT leaders across a range of industries, the topic of business model transformation has come up more than ever due to AI and AI Agents. Most companies are rapidly thinking through what the impact of their business will be in an AI-First world. Not all of the impact will be the same, and it’s clear that industries will evolve in different ways, including how each of the players in these industries adapt with AI. There are a variety of factories to consider, like whether your business model historically sold services by the hour vs. by outcome, how information-centric your product is, the level of critical thinking required to deliver your service, and more. For instance, if you’re a law firm today, AI Agents have the potential of compressing the hours needed for particular legal work. The industry often bills hourly, so fewer hours certainly can put more risk on revenue per account. However, firms are starting to think through multiple ways AI begins to drive growth or benefits firms. You can now expand with more customers because you can deliver more work at a lower rate, or you could deliver even better work in less time, which ironically could mean fees go up even over time. You can extend out this type of dynamic to a variety of other professional services firms, from marketing agencies to systems integrators. Or, take financial services, where large organizations like financial advisory firms are thinking through what AI Agents do to their business model. In this industry, client relationships and value add is the biggest imperative. Even as AI may lower the barrier to getting financial advice for anyone, AI equally provides the potential for even smarter investment decisions and closer customer relationships between the advisor and the client, which leads to greater stickiness. Ultimately, there isn’t a single industry that won’t be impacted in some small or large way due to AI. Some companies will use AI to win more customers, and others will be forced to compete with new AI entrants which deliver services at a lower cost. Not every firm will adapt to this new reality, however, and those will be at the greatest risk. One big implication to all of this transformation is it puts the technology department more in charge of determining the long term business model and execution of a company ever before. The right moves and partnership right now by those implementing AI in their companies are in a critical position to execute on this.

🚀 Exciting to share a milestone in #AI and #automation! One of A3’s core missions is to educate and guide our industry through pivotal shifts, and right now there’s no shift more transformative than AI. That’s why I’m proud to share this new #whitepaper: “AI in Automation: The Intelligent Transformation of Industry Today and Beyond” - developed with guidance from our AI Technology Strategy Board. As part of the AI Technology Board, I was honored to contribute to this comprehensive analysis that explores how artificial intelligence is reshaping automation across industries. This paper dives deep into current applications, emerging trends, and the strategic implications for businesses navigating this intelligent transformation. The convergence of AI and automation isn’t just changing how we work - it’s redefining what’s possible. From predictive maintenance to adaptive manufacturing systems, we’re witnessing a fundamental shift in industrial capabilities. What excites me most is that we’re standing at the threshold of AI’s next evolutionary leap: the transition from software AI to physical AI - into machines, cars, robots, and industrial systems. This crossover into the physical world will elevate safety, compliance, and reliability standards to unprecedented levels. When AI moves beyond screens and into the machinery that powers our world, the stakes become dramatically higher, demanding new frameworks for trust, validation, and human-machine collaboration. I look forward to hearing your thoughts and engaging in meaningful discussions about the future of intelligent automation! 🌐Download here: https://lnkd.in/ggqxPtwh #a3whitepaper #aiwhitepaper #AIinAutomation #industrialAI #digitaltransformation A3 - Association for Advancing Automation Rashmi Misra Bernd Raithel Christi DeCuir Torsten Kroeger Jon Battles Juan L. Aparicio Ojea Greg Hollows Mike Jacobs Henrik Christensen John Lizzi Claude Dinsmoor Joseph Lui Ben Tan

The future of work is in your hands. AI is moving fast. But the real story isn’t “jobs disappearing.” It’s how the work inside jobs is changing. Recent research from Anthropic analyzing millions of AI interactions shows something important: AI is taking on specific tasks within roles, especially routine digital work, not entire professions. Across many industries, AI is helping with work such as: • Drafting and editing written communication: AI assists with roughly 40–50% of first-pass drafting tasks. • Data organization and summarization: AI supports about 30–40% of these activities. • Basic coding and debugging support: AI contributes to roughly 35–45% of early-stage coding tasks. • Research synthesis and information lookup: AI helps complete about 40–50% of initial research tasks. • Routine administrative documentation: AI assists with approximately 30–40% of repetitive digital documentation. Notice the pattern: AI is strongest at processing information, generating drafts, and accelerating routine digital work. What it doesn’t replace are the uniquely human capabilities that turn information into progress. From my NSF research on the Future of Work, the professionals who will thrive are doubling down on human strengths. Here are five of them: 1️⃣ Judgment AI predicts patterns. Humans decide. ➡️ Use your experience to interpret data, weigh tradeoffs, and make responsible decisions. 2️⃣ Curiosity and problem framing AI answers questions. Humans ask the right ones. ➡️ Focus on defining the real problem worth solving. 3️⃣ Relationships and trust AI can simulate conversation, but it cannot build genuine trust. ➡️ Invest in collaboration, partnerships, and cross-functional influence. 4️⃣ Ethical and strategic thinking AI produces outputs. Humans align work with values and long-term goals. ➡️ Guide how AI is used responsibly in your organization. 5️⃣ Influence and leadership AI distributes information. Humans mobilize people. ➡️ Build coalitions, communicate vision, and move teams toward action. This shift is exactly why Work-Integrated Learning (WIL) is becoming more important in the age of AI. After more than 20+ years designing WIL and experiential learning programs, I’ve seen how immersive learning environments accelerate these uniquely human capabilities. WIL benefits two groups in particular: Emerging professionals • Build real-world judgment earlier • Develop collaboration and communication skills • Learn how work actually happens across teams Experienced professionals who are pivoting • Translate existing expertise into new industries • Practice working alongside new technologies • Rebuild confidence through applied projects In other words, WIL isn’t just for students anymore. It’s a resilience strategy for the future of work. And that future? It’s still in your hands. Follow me for to learn more about WIL and the Future of Work. DM me or book a 1:1 calendar session to discuss expert speaking or design work.

𝗠𝗼𝘀𝘁 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 𝗮𝘀𝗸 𝗺𝗲: "𝗪𝗵𝗲𝗿𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝘀𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗔𝗜?" 𝗪𝗿𝗼𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻. 𝘛𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯 𝘪𝘴: "What business problem do we need to solve that traditional technology is not; both effectively and efficiently. As someone who spent years in cybersecurity, I understand why security has gotten most of the AI attention. Threat detection, automated response, behavioral analysis - these are natural AI applications that feel safe and measurable. As adversaries continue to advance their techniques leveraging AI,  organizations must as well. 𝗕𝘂𝘁 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗴𝗼𝗲𝘀 𝗳𝗮𝗿 𝗯𝗲𝘆𝗼𝗻𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗽𝗲𝗿𝗶𝗺𝗲𝘁𝗲𝗿𝘀.  • The healthcare CIO who cannot get patient data flowing between systems is using AI to optimize care coordination, not just protect patient records.  • CFOs and their teams are automating regulatory reporting workflows that used to take weeks of manual effort and are now leveraging AI capabilities to improve forecast accuracy and sales and marketing growth investments.  • Universities have moved beyond network security to personalizing student success interventions.  • Professional services firms are enhancing client delivery and generating insights that directly impact project outcomes. Each industry has moved past viewing AI as purely a security tool. They are using it to solve core business challenges that have nothing to do with cyber threats. Today, in financial services, AI powers real-time credit decisions and customer experience optimization. Healthcare uses AI for operational efficiency and patient flow management. Universities apply AI to student retention analytics and resource allocation. Professional services firms use AI to improve project delivery and client experience. 𝗧𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗮𝗰𝗿𝗼𝘀𝘀 𝗲𝘃𝗲𝗿𝘆 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆: AI creates the most value when it addresses operational constraints and not just security risks.  Stop thinking about AI as a security technology that happens to have other uses. Start thinking about it as a business transformation tool supporting operational efficiencies and the unlock to providing visibility and accuracy of critical data to support continued growth, improved experience and outcomes for your clients. What business constraint is AI uniquely positioned to solve in your industry?

AI and Job Losses: The Whole Picture The rise of AI is reshaping industries at an unprecedented pace, sparking widespread concern about job losses. Many fear that automation and generative AI will displace millions of workers, making traditional roles obsolete. While this disruption is real, the conversation often misses an equally important aspect: the jobs that AI is creating. Historically, technological advancements have always altered the job landscape—eliminating some roles while giving rise to new ones. The industrial revolution did not end employment; it transformed it. The same is happening with AI. Emerging fields such as AI ethics, machine learning operations, AI-powered customer service, and prompt engineering are creating opportunities we couldn’t have imagined a decade ago. Moreover, AI is enhancing productivity across industries, leading to the demand for new skills in healthcare, finance, manufacturing, and beyond. The net impact of AI on employment will likely depend on how we respond to this shift. If we invest in reskilling and upskilling workers, we may not see a net loss of jobs but rather a transition toward higher-skilled roles. Governments, corporations, and individuals must focus on lifelong learning and adaptability. The challenge is not just about job losses—it is about ensuring that people are equipped to move into the new roles AI is generating. Will AI eliminate jobs? Yes. But will it create new, often better-paying, and more fulfilling careers? Also yes. The question is whether we are ready to embrace this transformation. How do you see AI impacting your industry? Are we doing enough to prepare the workforce for this shift? Let’s discuss. #AI #FutureOfWork #Reskilling #JobMarket

How AI is Changing Work—New Insights from Anthropic Anthropic just released one of the most detailed studies yet on how AI is being used across different industries. By analyzing millions of real-world Claude interactions, they uncovered key trends shaping the future of work.   Here’s what they found:   ► AI is tackling complex tasks—Software development leads AI adoption (37.2% of queries), followed by writing, data analysis, and business strategy. ► Adoption is uneven—Tech and finance are ahead, while hands-on trades (e.g., construction, farming) and specialized medical fields see minimal AI use. ► AI is a collaborator, not just an automation tool—57% of interactions involve refining AI-generated work, while 43% focus on full automation. ► Mid-to-high wage jobs use AI the most—AI adoption is highest in roles requiring formal training but lower at both extremes (low-wage and very high-wage jobs). ► Most roles use AI for part of their tasks—Only 4% of occupations rely on AI for more than 75% of their work, showing AI is more of an enhancer than a replacement. What This Means for Work ► AI is augmenting expertise, not fully replacing jobs. ► Businesses should focus on task-level AI integration, rather than automating entire roles. ► AI adoption is evolving—companies and policymakers must monitor and adapt to these shifts. 📖 Read the full study here: https://lnkd.in/eCEe2DMi What trends are you seeing in your industry?   #artificialintelligence #innovation