Avijeet Maji

The first rung is fading—but the need for mentorship and experiential learning is stronger than ever. As AI reshapes the modern workplace, it’s not only senior roles or technical specialists who face change. Entry-level jobs are being disrupted first. Recent research from Stanford and Harvard shows that AI tools are rapidly absorbing the foundational tasks that once served as stepping stones for young workers such as debugging code, reviewing legal documents, handling customer service inquiries. These roles, often labeled “intellectually mundane,” are precisely the ones generative AI can automate with ease. But their disappearance carries deeper consequences. What the Data Tells Us A Stanford study analyzing payroll records from millions of workers found that employment for 22–25-year-olds in roles where AI is rapidly automating core tasks in fields like software development, accounting, and customer service, has declined by 13% since 2022. Meanwhile, more experienced workers in those same roles have seen steady or rising employment. Harvard’s working paper, which tracked 62 million workers across 285,000 firms, found that junior employment at AI-adopting companies dropped 7.7% over six quarters. Senior staff remained largely insulated. The researchers warn that this erosion of the bottom rung could delay career development, widen inequality, and diminish long-term earnings for new graduates. Why It Matters Entry-level jobs aren’t just tasks, they’re training grounds. They offer young professionals a chance to learn by doing, asking questions, and building relationships. When these roles vanish, we lose the natural progression of growth—without that first rung, entry-level employees struggle to evolve into leaders and help shape the next generation. Without that cycle, companies risk stagnation. Innovation slows. Talent pipelines dry up. And the flow of skills across industries, what economists call the “mobility multiplier”, begins to falter. What Leaders Can Do At Sakara Digital, we believe the solution isn’t to resist AI, it’s to reimagine how we onboard, train, and grow talent in an AI-enabled world. That means: · Designing hybrid roles that pair automation with human mentorship · Investing in experiential learning through internships, apprenticeships, and rotational programs · Creating intentional pathways from entry-level exposure to strategic contribution · Reframing junior work as a space for curiosity, not just execution The future of work isn’t just about tools, it’s about people. And if we want to build resilient, innovative teams, we must protect and evolve the pathways that help young professionals thrive. #FractionalConsulting #DigitalTransformation #ComplianceExcellence #AIcareers #WorkforceDesign https://zurl.co/HezFJ

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Looking forward to connecting with industry peers and leaders at Pharma MES. The conversation around MES is evolving beyond implementation alone, focusing on value realization, operational consistency, and stronger integration across manufacturing, quality, and supply. Excited to exchange perspectives . Expanding the strategic power of manufacturing execution systems in Pharma involves closing post-launch MES gaps to unlock future business value. Explore how MES must evolve into a true performance engine — aligned with strategic KPIs, integrated into the broader digital ecosystem, and enhanced by AI, digital twins, and cloud-native, modular architectures with Capgemini. https://lnkd.in/eZXp7NZ6 #MES #PharmaInnovation #DigitalManufacturing #Capgemini #LifeSciences#Collaboration #Transformation #OperationalExcellence

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