Effects of AI on the Workplace

AI is fundamentally reshaping our workforce, but the impacts are nuanced. The latest report, “Potential Labor Market Impacts of Artificial Intelligence: An Empirical Analysis,” by The White House Council of Economic Advisers, provides critical insights for leaders that will impact everyone's future.. 📊 Key Findings: ✅ 𝐆𝐫𝐨𝐰𝐭𝐡 𝐢𝐧 𝐇𝐢𝐠𝐡-𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲, 𝐀𝐈-𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐑𝐨𝐥𝐞𝐬 Roles requiring advanced AI skills have increased by 30% over the last five years. Positions such as AI ethics officers and data scientists are on the rise, indicating a shift toward more complex, creative work. Occupations that integrate AI effectively are growing twice as fast as average, suggesting AI's role in complementing human skills rather than replacing them. ❌ 𝐇𝐢𝐠𝐡 𝐑𝐢𝐬𝐤 𝐨𝐟 𝐉𝐨𝐛 𝐃𝐢𝐬𝐩𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐋𝐨𝐰-𝐒𝐤𝐢𝐥𝐥 𝐑𝐨𝐥𝐞𝐬 40% of current jobs are at risk due to high AI exposure but low skill requirements, particularly in administrative and routine manual tasks. These jobs are declining at a rate of 2% annually. Sectors like customer service and data entry are vulnerable, raising concerns about job security and economic stability in these fields. 📍 Regional Disparities: ✅ 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐓𝐞𝐜𝐡 𝐇𝐮𝐛𝐬 Tech-centric regions like Silicon Valley show a high concentration of new, AI-driven job creation, reflecting significant economic opportunities for those regions. Urban centers with strong tech clusters are emerging as key players in AI employment, driving innovation and growth. ❌ 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐟𝐨𝐫 𝐑𝐮𝐫𝐚𝐥 𝐚𝐧𝐝 𝐒𝐦𝐚𝐥𝐥𝐞𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐢𝐞𝐬 Rural areas and smaller towns are facing increased risks of job losses due to AI, without comparable opportunities for new AI-driven roles. This geographic imbalance could exacerbate regional economic disparities. 👉 Here are my questions for Leaders: 1️⃣ Are we ready to leverage AI’s potential while minimizing risks? How are we preparing our teams for a future where AI enhances human capability? 2️⃣ What is our reskilling strategy? With 40% of jobs potentially vulnerable, how are we investing in upskilling our workforce to transition into growth-oriented roles? 3️⃣ How can we balance geographic and economic disparities? Are we focusing enough on regional strategies to ensure inclusive growth? As leaders, our role is to harness AI's potential to foster a resilient, inclusive, and dynamic workforce. Are we ready to lead this change and shape the future of work?

𝗧𝗟;𝗗𝗥: History shows AI's impact on jobs will follow a familiar pattern of disruption and growth, but on a compressed 10-15 year timeline. Understanding past technological transitions helps us prepare for both the challenges and opportunities ahead. This is part 3 on the #EconomicsofAI. In one of prior posts (https://bit.ly/40tVLRI), I wrote about the history of economic value generation in tech transformations. But what does AI do for jobs? Read on: Looking at 250 years of technological disruption reveals a consistent pattern that will likely repeat with AI, just faster. My analysis of employment data across four major technological waves shows something fascinating: while specific jobs decline initially, total employment ultimately grows significantly – often 2-3x higher than pre-disruption levels. Here's what history tells us about AI's likely impact on jobs: 𝗧𝗵𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝗘𝗮𝗰𝗵 𝗪𝗮𝘃𝗲: • 𝗙𝗶𝗿𝘀𝘁 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟭𝟳𝟲𝟬-𝟭𝟴𝟰𝟬): 40% initial job decline, 80 years to full transformation • 𝗦𝗲𝗰𝗼𝗻𝗱 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟭𝟴𝟳𝟬-𝟭𝟵𝟭𝟰): 30% decline, 44 years to transform • 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟭𝟵𝟱𝟬-𝟭𝟵𝟴𝟬): 25% decline, 30 years • Digital Revolution (1980-2000): 15% decline, 20 years • 𝗔𝗜 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟮𝟬𝟮𝟰-𝟮𝟬𝟯𝟱): Projected 20% initial disruption, 10-15 years to transform 𝗧𝗵𝗲 𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗹𝗶𝗸𝗲𝗹𝘆 𝗳𝗼𝗹𝗹𝗼𝘄 𝘁𝗵𝗿𝗲𝗲 𝗽𝗵𝗮𝘀𝗲𝘀: • 𝟮𝟬𝟮𝟰-𝟮𝟬𝟮𝟲: 𝗜𝗻𝗶𝘁𝗶𝗮𝗹 𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 Expect focused impact on knowledge workers, particularly in areas like content creation, analysis, & routine cognitive tasks. Unlike previous waves that started with manual labor, AI begins with cognitive tasks. • 𝟮𝟬𝟮𝟲-𝟮𝟬𝟯𝟬: 𝗥𝗮𝗽𝗶𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 New job categories emerge rapidly as AI enables new business models. Just as the internet created roles like SEO specialists & social media managers, AI will spawn entirely new professional categories. • 𝟮𝟬𝟯𝟬-𝟮𝟬𝟯𝟱: 𝗚𝗿𝗼𝘄𝘁𝗵 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Employment should exceed pre-AI levels as the economy reorganizes around AI capabilities, similar to how manufacturing employment grew 4x during the Second Industrial Revolution. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝘄𝗮𝘃𝗲𝘀: • Digital infrastructure already exists • Global talent pool can adapt more quickly • Market pressures demand faster adoption This will only happen if we treat AI as Augmented Intelligence! 𝗔𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗟𝗲𝗮𝗱𝗲𝗿𝘀: The data shows that organizations that invest in workforce transformation during disruption emerge strongest. Focus on: • Identifying which roles will transform vs. disappear • Building internal training using resources from Anthropic Amazon Web Services (AWS) etc. • Creating new job categories that combine human+AI capabilities • Planning for the growth phase

"We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched employer-employee data in Denmark. AI chatbots are now widespread—most employers encourage their use, many deploy in-house models, and training initiatives are common. These firm-led investments boost adoption, narrow demographic gaps in take-up, enhance workplace utility, and create new job tasks. Yet, despite substantial investments, economic impacts remain minimal. Using difference-in-differences and employer policies as quasi-experimental variation, we estimate precise zeros: AI chatbots have had no significant impact on earnings or recorded hours in any occupation, with confidence intervals ruling out effects larger than 1%. Modest productivity gains (average time savings of 3%), combined with weak wage pass-through, help explain these limited labor market effects. Our findings challenge narratives of imminent labor market transformation due to Generative AI. " Anders Humlum & Emilie Vestergaard

The latest study from the Council of Economic Advisers, The White House states that ~10% of jobs are vulnerable to AI disruption. That may seem alarming, but let’s take a step back. In 2018, 60% of the jobs Americans held didn't even exist in 1940—created by technologies that emerged over the years (David Autor). Here’s the real concern: Many AI-vulnerable jobs haven’t evolved to match their increasing complexity. Workers in these roles are more exposed to disruption because they haven’t been given the chance to upskill. But this isn't new. Economic evolution is the hallmark of a dynamic economy. Just like we’ve adapted to past technologies, workers and industries will adapt to AI. The key lies in how we approach it. Why businesses should care: Organizations that proactively identify and support employees vulnerable to AI disruption aren’t just doing good—they’re making smart financial decisions. 💡 Investing in upskilling and mobility for these workers could unlock millions in retention and productivity. Mass layoffs due to AI aren’t likely. The real shift? Slower hiring and reduced demand for certain roles. We’re already seeing fewer job postings for writers, coders, and even artists. So, what activities are at risk? Roles involved in processing information, analyzing data, scheduling, and administrative tasks are prime targets. Industries to watch? Architecture, engineering, legal, computer science, and mathematics. Surprising jobs at risk of AI disruption: Airline Pilots, Copilots, and Flight Engineers Nuclear Power Reactor Operators Private Detectives and Investigators Commercial and Industrial Designers These highly specialized roles, which traditionally require significant human judgment, are surprisingly vulnerable to AI-driven changes. Business leaders, what barriers are preventing you from launching upskilling initiatives to future-proof your workforce? The future of work is evolving, but we can shape how it unfolds. #FutureOfWork #AIandJobs #Upskilling #WorkforceTransformation #AI

Thinking about AI's impact on jobs often gets oversimplified. People tend to picture our world operating the same, but with AI stepping in to take over some tasks. This view misses the bigger picture. What really unfolds is that companies gain new abilities through AI. This sparks positive job growth. Historically, there’s been a substantial gap between small and large companies. Big companies typically have all the specialist teams they need—engineers for innovation, marketers for outreach, and legal, supply chain, and compliance experts for issues beyond their core. Smaller companies often can’t compete because they lack these resources. It’s a huge hurdle for starting up or scaling quickly. AI agents level the playing field, giving small businesses access to enterprise-level resources. This means smaller firms can grow faster and experiment more. Startups can now launch marketing campaigns, conduct market research, deliver new features, manage sales, and provide customer support—ways that were hard to afford before. In the past, though some tasks might have been outsourced or done in-house, many either weren't up to par or just didn’t happen. With this boost, small companies will actually create more jobs. They'll need people for roles that AI can't fill, in various support areas. AI isn’t just about replacing jobs; it’s about enabling businesses to do more, leading to job growth in areas AI can’t cover. #ai #jobs

Lots to unpack in this article (It’s a long one) 1. AI Automates Tasks, Not Jobs: - AI and machine learning automate specific tasks rather than entire jobs. - The impact on jobs is not a direct one-to-one replacement but a transformation of job roles. 2. Productivity Gains: - AI tools can significantly increase worker productivity. For instance, automated coding tools can make software developers 30-40% more productive. - These tools shift the emphasis to higher-level awareness and management of the work, requiring human oversight. 3. Economic Impact and Job Security: - The fear of AI taking jobs is rooted in economic concerns. - While AI may reduce the need for certain tasks, it will also create new demands for tasks that cannot be automated, balancing job availability. 4. High-Level Tasks Remain Human: - Creative, strategic, and problem-solving tasks are less likely to be automated. - Human roles will evolve to focus more on these high-level tasks, which require human intuition and judgment. 5. Economic Feasibility of Automation: - The cost of automating tasks with AI is a significant factor. High implementation and maintenance costs may slow down AI adoption. - Only tasks that are both technically feasible and economically viable are likely to be automated. 6. Long-Term Job Creation: - Historical trends show that technological advancements create new industries and job roles. - AI will likely follow this pattern, disrupting some jobs while creating new opportunities. 7. Adapting to AI: - Workers are encouraged to upskill and reskill to remain relevant in the evolving job market. - Businesses need to strategically integrate AI into their operations to maximize benefits and minimize disruptions. 8. Industry-Specific Impacts: - The impact of AI varies by industry. For example, interior design might automate technical tasks but retain human-driven creative work. - Different industries will experience varying degrees of job transformation based on the nature of their tasks.

Key takeaways from Mary Meeker's (340 page!) 2025 AI Trends report: 1. The Job market is actively reshaping with data showing a dramatic divergence in the labor market. Since January 2018, job postings in the USA requiring AI skills have skyrocketed by +448%, while non-AI IT job postings have declined by -9%. 2. It's about augmentation AND replacement. While the cliche that "You're not going to lose your job to an AI, but you're going to lose your job to somebody who uses AI" may be somewhat true, it's also true that companies are exploring agents to perform work, and this will have an impact on human jobs. HR and L&D need to really kick upskilling and integration into gear, empowering the workforce to use AI as a tool for productivity. 3. Company mandates on AI use are becoming the norm. Leading tech companies are no longer suggesting AI adoption - they're requiring it. Shopify now considers "reflexive AI usage" a "baseline expectation" for all employees. Duolingo is officially "AI-first," stating that AI use will be part of performance reviews and that new headcount will only be approved if a team cannot first automate its work. AI strategy starts at the top and leaders need to lead by example. 4. Employees are already seeing the benefits of AI - a survey of employed U.S. adults found that over 72% of those using AI chatbots at work say the tools are "extremely" or "very" helpful for doing things more quickly and improving the quality of their work. No surprise there, with the exception that perhaps the number should be higher than 72%. 5. The next generation of talent is AI-Native. Today's students are already leveraging AI for career readiness. A survey of 18-24 year-olds showed top use cases for ChatGPT include starting projects, summarizing texts, and career-related writing. Recruitment and onboarding strategies must adapt to a talent pool that expects AI tools from day one. So what does this all mean for HR and Talent leaders? This report signals a clear need to: 🚀 Rethink job descriptions & skill requirements - are you hiring for AI literacy? 🚀 Transform L&D - is your upskilling strategy focused on experiential learning and practical AI application or is it limited to online learning? 🚀 Update performance management - how will you measure and reward effective AI usage? 🚀 Adapt recruiting - how are you preparing to attract and retain an AI-native workforce? I don't think you can afford to take a "wait and see" approach. What are you and your company doing to get ahead and take full advantage of the benefits AI has to offer? Check out the full report here: https://lnkd.in/ed7j4Wi7 #AI #FutureOfWork #HumanResources #TalentAcquisition #Leadership

𝐌𝐲 𝐀𝐈+𝐇𝐈 𝐑𝐚𝐝𝐚𝐫: 𝐓𝐡𝐢𝐬 𝐖𝐞𝐞𝐤'𝐬 𝐌𝐮𝐬𝐭-𝐑𝐞𝐚𝐝𝐬 Hey everyone, here are the articles that caught my eye this week on AI plus Human Factors. Links in the comments below: "𝐓𝐡𝐞 𝐒𝐡𝐚𝐝𝐨𝐰 𝐀𝐈 𝐒𝐮𝐫𝐠𝐞: 𝐒𝐭𝐮𝐝𝐲 𝐅𝐢𝐧𝐝𝐬 𝟓𝟎% 𝐨𝐟 𝐖𝐨𝐫𝐤𝐞𝐫𝐬 𝐔𝐬𝐞 𝐔𝐧𝐚𝐩𝐩𝐫𝐨𝐯𝐞𝐝 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬" (SecurityWeek) Key Takeaway: Half of employees are using unauthorized AI tools without disclosure, introducing serious data security risks as sensitive information flows through unsecured platforms. Why It Matters: Shadow AI use has become mainstream but remains invisible to most HR leaders, creating urgent needs around data privacy and compliance. HR must lead in developing policies that enable productive AI use while protecting organizational interests. "𝐓𝐞𝐚𝐜𝐡 𝐀𝐈 𝐭𝐨 𝐖𝐨𝐫𝐤 𝐋𝐢𝐤𝐞 𝐚 𝐌𝐞𝐦𝐛𝐞𝐫 𝐨𝐟 𝐘𝐨𝐮𝐫 𝐓𝐞𝐚𝐦" (Harvard Business Review) Key Takeaway: Generic AI tools often fail without understanding specific team workflows; a Fortune 500 retailer achieved 50% less manual effort by mapping team processes and contextualizing their AI implementation. Why It Matters: Off-the-shelf AI rarely delivers value without customization to local team behavior. HR's role is expanding beyond technology deployment to include deeply understanding workflows, tribal knowledge, and specific user behaviors. "𝐌𝐞𝐚𝐬𝐮𝐫𝐢𝐧𝐠 𝐇𝐮𝐦𝐚𝐧 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐒𝐤𝐢𝐥𝐥𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬" (NBER Working Paper) Key Takeaway: Harvard research demonstrates that leadership effectiveness can be measured using GPT-4o simulated team interactions, with AI assessments strongly correlating (r=0.81) with human team assessments. Why It Matters: This breakthrough offers a scalable, lower-cost approach to leadership evaluation, potentially democratizing access to leadership assessment and refining talent pipelines with the same core skills working for both human and AI teams. "𝐀𝐈 𝐚𝐧𝐝 𝐉𝐨𝐛𝐬: 𝐇𝐚𝐬 𝐭𝐡𝐞 𝐈𝐧𝐟𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐏𝐨𝐢𝐧𝐭 𝐀𝐫𝐫𝐢𝐯𝐞𝐝?" (arXiv) Key Takeaway: AI's impact varies dramatically by profession—initially augmenting human work before eventually crossing a capability threshold where replacement begins, with changes unfolding more gradually than tech cycles suggest. Why It Matters: Every role will eventually reach its own AI inflection point, requiring workforce planning that accounts for both short-term productivity gains and potential long-term displacement effects. Bottom line: AI adoption is happening with or without formal approval, but real value comes from understanding context and workflow. Organizations need intentional strategies that acknowledge both AI's productivity benefits and its evolving capabilities across different roles. #AIAdoption #WorkforceTransformation #HumanAICollaboration

🤖 𝐖𝐡𝐢𝐭𝐞-𝐂𝐨𝐥𝐥𝐚𝐫 𝐂𝐨𝐥𝐥𝐚𝐩𝐬𝐞: 𝐀𝐈’𝐬 𝐎𝐟𝐟𝐢𝐜𝐞 𝐓𝐚𝐤𝐞𝐨𝐯𝐞𝐫 𝐇𝐚𝐬 𝐁𝐞𝐠𝐮𝐧 AI isn’t coming for white-collar jobs—it’s already here. From legal work to customer service, automation is slashing headcounts, shrinking teams, and leaving entire office floors empty. If your footprint still reflects your 2019 headcount, you're already behind. 📉 𝐓𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐀𝐈 𝐢𝐬𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐨𝐧 𝐣𝐨𝐛𝐬—𝐢𝐭’𝐬 𝐨𝐧 𝐬𝐪𝐮𝐚𝐫𝐞 𝐟𝐨𝐨𝐭𝐚𝐠𝐞. Here’s what office tenants need to watch out for as AI disruption unfolds: 🔹 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐓𝐞𝐚𝐦𝐬 𝐀𝐫𝐞 𝐒𝐡𝐫𝐢𝐧𝐤𝐢𝐧𝐠 𝐅𝐚𝐬𝐭: AI tools like GitHub Copilot have cut coding time by up to 55%. Fewer developers mean fewer desks—and a lot of wasted space if your office is still built for full-stack armies. 🔹 𝐋𝐞𝐠𝐚𝐥 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: 𝐍𝐨 𝐋𝐨𝐧𝐠𝐞𝐫 𝐔𝐧𝐭𝐨𝐮𝐜𝐡𝐚𝐛𝐥𝐞: Contract review once took hours—now it takes seconds. Law firms are trimming junior staff and consolidating space, especially in high-rent metros like Manhattan and D.C. 🔹 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 & 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 𝐆𝐨 𝐋𝐞𝐚𝐧: With 38% of accounting tasks automatable, back-office roles are being replaced by bots. Corporate finance hubs are quietly downsizing as teams shrink from 100 to 30. 🔹 𝐀𝐝𝐦𝐢𝐧 𝐚𝐧𝐝 𝐂𝐥𝐚𝐢𝐦𝐬: 𝐀 𝐑𝐚𝐩𝐢𝐝 𝐁𝐥𝐨𝐨𝐝𝐛𝐚𝐭𝐡: AI is processing insurance claims 80% faster and replacing schedulers, clerks, and back-office workers. Suburban admin parks are going dark as headcount plummets. 🔹 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐞𝐧𝐭: 𝐍𝐨𝐰 𝐅𝐮𝐥𝐥𝐲 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝: Support bots resolve up to 95% of queries—no agents required. Content, reports, and HR documents are now AI-generated, reducing creative and service team sizes dramatically. AI is collapsing headcount and reshaping office demand in real time. Corporate tenants must act fast—before they’re locked into leases built for a workforce that no longer exists. #𝐎𝐟𝐟𝐢𝐜𝐞𝐒𝐩𝐚𝐜𝐞 #𝐂𝐑𝐄𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 #𝐀𝐈𝐈𝐦𝐩𝐚𝐜𝐭 #𝐋𝐞𝐚𝐬𝐞𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 #𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞𝐑𝐞𝐚𝐥𝐄𝐬𝐭𝐚𝐭𝐞

Navigating the AI Landscape: Insights from the Business of Tech From this episode of the Business of Tech, we delve into the evolving dynamics of AI in the workplace and its implications for businesses: AI Adoption and Burnout: A recent report reveals a staggering 233% increase in daily AI usage among desk workers, leading to significant productivity gains. However, this surge comes with a downside—workers heavily engaged with AI tools are 88% more likely to experience burnout. As organizations embrace AI, understanding its impact on employee well-being is crucial. Shadow AI Risks: The rise of "shadow AI" is a growing concern, with over 80% of technology leaders acknowledging that unauthorized AI tool adoption is outpacing their ability to manage risks. This trend raises significant cybersecurity issues, particularly as employees inadvertently input sensitive information into unapproved platforms. C-Suite Confidence Decline: Despite increasing investments in AI, confidence among C-suite executives is waning. Trust in AI strategies has dropped from 69% to 58% in just a year, highlighting a critical need for organizations to bolster their governance and training around AI initiatives. For a deeper dive into these topics and more, tune in to our latest episode. 🔊 Listen on Business of Tech: https://lnkd.in/eHX8hJP9 📺 Watch on YouTube: https://lnkd.in/egUgPtJa 🇪🇸 ¿Habla español?: https://lnkd.in/e5ur76Wp #AI #BusinessStrategy #EmployeeWellbeing #Cybersecurity #Leadership #TechTrends