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Fundamentals

Consider this ● nearly 70% of small to medium-sized businesses acknowledge automation as vital for future growth, yet less than half have a clearly defined automation strategy. This gap isn’t a technological deficit; it’s a leadership chasm. The culture of automation within an SMB, whether it becomes a powerful engine or a source of organizational friction, originates at the leadership level. It’s not about the tools themselves, but how leaders introduce, champion, and integrate these tools into the daily operations and mindset of their teams.

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Setting the Tone at the Top

Leadership’s most fundamental role in shaping starts with communication. Think of it like this ● if the boss sounds like they’re reluctantly adopting automation because some consultant said so, the team will likely mirror that lukewarm attitude. Conversely, if leadership articulates a clear, enthusiastic vision for how automation will improve work, reduce drudgery, and create new opportunities, employees are far more likely to buy in. This initial framing is crucial; it sets the emotional stage for how automation is perceived within the company.

Leadership communication acts as the initial blueprint for automation culture, defining its perceived value and employee receptiveness.

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Defining Automation’s Purpose

Automation shouldn’t be presented as a cost-cutting measure alone. For SMBs, this can feel like a direct threat to job security, breeding resistance and anxiety. Instead, leadership must frame automation as a strategic enabler, a way to enhance human capabilities, not replace them entirely. Consider a small accounting firm.

Instead of saying automation will eliminate bookkeeping jobs, leadership could explain that automating routine data entry frees up accountants to focus on higher-value advisory services for clients, strengthening client relationships and increasing revenue. This reframing shifts the narrative from job displacement to job evolution, making automation a more palatable and even desirable prospect.

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Leading by Example and Participation

Leadership’s actions speak louder than any memo. If leaders are seen actively using and promoting automated tools, it sends a powerful message about their commitment. This doesn’t mean the CEO needs to become an automation expert, but demonstrating a willingness to learn and engage with new systems is essential. Furthermore, involving employees in the automation process is crucial.

Soliciting input from those who perform the tasks being automated not only provides valuable insights but also fosters a sense of ownership and reduces fear of the unknown. Imagine a small retail business automating its inventory management. Including the store manager and sales staff in the selection and implementation process ensures the new system meets their needs and addresses their pain points, leading to smoother adoption and better outcomes.

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Resource Allocation and Training

Commitment to automation culture requires tangible investment. This means allocating resources not just for the technology itself, but also for adequate training and support. Introducing automation without proper training is like handing someone a complex tool without instructions ● frustration and failure are almost guaranteed. SMB leadership needs to prioritize training programs that are accessible, practical, and tailored to different skill levels within the organization.

Think about a small manufacturing company implementing robotic process automation on the factory floor. Investing in comprehensive training for machine operators and maintenance staff is essential to ensure they can effectively work with and manage the new automated systems, maximizing efficiency and minimizing downtime.

Resource allocation for training and support demonstrates a genuine leadership commitment to successful automation integration.

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Iterative Implementation and Feedback Loops

Automation implementation shouldn’t be a one-time event, but an ongoing process of refinement and adaptation. Leadership should foster a and learning, where it’s okay to try new automation approaches, evaluate their effectiveness, and make adjustments as needed. Establishing is critical. Regularly soliciting input from employees on how automation is working, what’s going well, and what needs improvement allows for continuous optimization and ensures that automation efforts remain aligned with business goals and employee needs.

Consider a small marketing agency adopting marketing automation software. Regular feedback sessions with the marketing team to assess the software’s impact on campaign performance and workflow efficiency allows leadership to fine-tune the system and ensure it truly enhances the team’s capabilities.

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Celebrating Early Wins and Continuous Improvement

Building a positive automation culture requires celebrating successes, no matter how small. Acknowledging and rewarding teams or individuals who effectively utilize reinforces positive behaviors and encourages broader adoption. This creates momentum and builds confidence in the benefits of automation. However, celebration shouldn’t lead to complacency.

Leadership must also instill a mindset of continuous improvement, constantly seeking out new and refining existing processes to stay ahead of the curve. Imagine a small e-commerce business automating its inquiries with a chatbot. Publicly recognizing the customer service team for successfully integrating the chatbot and improving response times boosts morale and encourages other departments to explore automation possibilities. Simultaneously, leadership should encourage the team to continuously analyze chatbot performance and identify areas for optimization to further enhance customer experience.

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Addressing Fear and Resistance

Resistance to change is a natural human reaction, and automation can trigger anxieties about job security and skill obsolescence. Effective leadership addresses these fears head-on, with transparency and empathy. Open communication about the rationale behind automation, its intended benefits, and its impact on employees is crucial. Providing opportunities for reskilling and upskilling demonstrates a commitment to employee growth and helps them adapt to the changing demands of an automated workplace.

Consider a small logistics company automating its warehouse operations. Leadership should proactively communicate with warehouse staff about the changes, offer training programs to learn new skills required to manage automated systems, and clearly articulate how automation will improve workplace safety and efficiency, rather than simply eliminating jobs. This proactive approach can significantly mitigate resistance and foster a more positive attitude towards automation.

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The Human Element in Automation

Ultimately, automation culture isn’t about replacing humans with machines; it’s about creating a synergistic partnership. Leadership shapes this culture by emphasizing the human element in automation ● the creativity, critical thinking, and emotional intelligence that machines cannot replicate. Automation should be seen as a tool to augment human capabilities, freeing up employees to focus on tasks that require uniquely human skills. For SMBs, this human-centric approach is particularly important, as their often lies in personalized service and strong customer relationships.

Leadership must ensure that automation enhances, rather than diminishes, these human-driven strengths. Think of a small consulting firm using AI-powered tools to analyze market data. Leadership should emphasize that these tools are designed to support consultants in providing more insightful and strategic advice to clients, allowing them to build stronger, more valuable relationships, rather than replacing the consultant’s expertise and human touch.

Leadership, therefore, shapes automation culture through a multifaceted approach encompassing communication, vision setting, example setting, resource allocation, iterative implementation, positive reinforcement, fear mitigation, and a human-centric philosophy. It is a continuous, dynamic process, requiring ongoing attention and adaptation to ensure automation becomes a catalyst for and success, rather than a source of disruption and discontent.

Strategic Automation Alignment

While fundamental understanding of automation culture hinges on communication and resource allocation, intermediate analysis demands a deeper dive into strategic alignment. Consider the statistic that SMBs with a documented digital transformation strategy are twice as likely to report significant revenue growth. Automation, as a core component of digital transformation, requires strategic integration, not just piecemeal implementation. Leadership’s role evolves from simply introducing automation to strategically weaving it into the very fabric of the business model.

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Leadership Styles and Automation Adoption

Different inherently influence the pace and nature of automation adoption. A directive, top-down leadership might mandate without sufficient employee consultation, potentially leading to resistance and suboptimal outcomes. Conversely, a more participative or servant leadership style, characterized by collaboration and empowerment, tends to foster a more organic and successful automation culture.

Such leaders prioritize employee input, facilitate cross-functional automation initiatives, and champion automation as a collective organizational endeavor. For instance, in a small tech startup, a visionary leader who articulates a compelling future powered by automation and empowers teams to experiment with different automation solutions is more likely to cultivate a dynamic and innovative automation culture than a leader who dictates specific automation tools from above.

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Automation as a Competitive Advantage

For SMBs, automation isn’t merely about efficiency gains; it’s a strategic weapon in the competitive landscape. Leadership must view automation through the lens of competitive advantage, identifying areas where can differentiate the business, enhance customer value, and outmaneuver competitors. This requires a deep understanding of market dynamics, competitor strategies, and the unique value proposition of the SMB. Consider a regional bakery competing with larger chains.

Implementing automation in order fulfillment and delivery logistics can enable faster, more reliable service, creating a competitive edge in customer convenience and responsiveness, aspects often challenging for larger, less agile competitors to replicate. Leadership must strategically pinpoint these high-impact automation opportunities that directly translate into market differentiation.

Strategic automation is not about cost reduction alone; it’s about forging a competitive edge and enhancing market positioning.

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Data-Driven Automation Decisions

Intermediate-level automation culture is characterized by data-driven decision-making. Leadership must move beyond gut feelings and anecdotal evidence, leveraging data analytics to identify optimal automation opportunities, measure automation ROI, and continuously refine automation strategies. This requires establishing robust data collection mechanisms, developing key performance indicators (KPIs) for automation initiatives, and fostering a data-literate culture where decisions are informed by empirical evidence.

Imagine a small e-commerce retailer considering automating its customer support. Analyzing customer interaction data to identify common query types, response times, and metrics provides crucial insights for determining the scope and focus of automation efforts, ensuring that automation addresses real customer needs and delivers measurable improvements in service quality and efficiency.

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Scaling Automation for SMB Growth

Automation culture in growing SMBs must be scalable. Initial automation successes in one area of the business should serve as a blueprint for broader organizational automation. Leadership must develop a strategic roadmap for scaling automation across different departments and functions, ensuring interoperability between automated systems and maintaining a cohesive as the business expands. This requires careful planning, phased implementation, and a flexible automation architecture that can adapt to evolving business needs.

Consider a small accounting firm that initially automates its tax preparation process. As the firm grows, leadership needs to plan for scaling automation to other areas like payroll processing, auditing, and client communication, ensuring that these automated systems integrate seamlessly and contribute to overall operational efficiency and client service scalability.

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Automation and Customer Experience

Strategic automation directly impacts customer experience. Leadership must prioritize that enhance customer interactions, personalize services, and improve overall customer satisfaction. This requires a customer-centric approach to automation, focusing on pain points in the customer journey and identifying automation solutions that streamline processes, reduce friction, and create more positive customer experiences.

For example, a small hotel could automate its check-in and check-out processes, online booking system, and guest communication through chatbots to provide a more seamless and efficient guest experience, enhancing customer satisfaction and loyalty. Leadership needs to ensure that automation efforts are not just internally focused on efficiency, but externally oriented towards improving the customer journey.

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Managing the Automation Skill Gap

As SMBs scale automation, the skills gap becomes a critical challenge. Leadership must proactively address this by investing in targeted training programs, recruiting talent with automation expertise, and fostering a culture of and skill development. This includes not only technical skills related to automation tools but also soft skills like problem-solving, critical thinking, and adaptability, which are increasingly valuable in an automated workplace.

Consider a small manufacturing company implementing advanced robotics. Leadership needs to invest in training existing employees to operate and maintain these robots, recruit technicians with robotics expertise, and establish partnerships with technical schools to create a pipeline of skilled automation professionals, ensuring the company has the human capital necessary to manage and leverage its automation investments effectively.

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Ethical Considerations in Automation

Intermediate-level automation strategy also necessitates considering ethical implications. Leadership must address potential biases in algorithms, ensure data privacy and security in automated systems, and consider the societal impact of automation, particularly concerning workforce displacement. Developing ethical guidelines for automation development and deployment is crucial for maintaining trust with employees, customers, and the broader community.

For example, a small financial services firm using AI for loan applications needs to ensure that the algorithms are fair and unbiased, preventing discriminatory lending practices. Leadership must establish ethical frameworks and oversight mechanisms to mitigate potential risks and ensure responsible automation implementation.

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Measuring Automation Culture Maturity

Leadership should actively measure and monitor the maturity of the automation culture within the SMB. This involves assessing employee attitudes towards automation, evaluating the level of across different departments, and tracking the impact of automation on key business metrics. Regular surveys, feedback sessions, and data analysis can provide valuable insights into the strengths and weaknesses of the automation culture, allowing leadership to make informed adjustments and continuously improve the organizational environment for automation. Developing a maturity model for automation culture, with defined stages and assessment criteria, can provide a structured framework for tracking progress and guiding strategic interventions.

Strategic automation alignment, therefore, demands that leadership moves beyond basic implementation and integrates automation into the core business strategy. This involves considering leadership styles, competitive advantage, data-driven decisions, scalability, customer experience, skill gap management, ethical considerations, and continuous measurement of automation culture maturity. It is a more sophisticated and nuanced approach, essential for SMBs seeking to leverage automation not just for efficiency, but for sustained growth and market leadership.

Table 1 ● Leadership Styles and Automation Culture Impact

Leadership Style Directive (Top-Down)
Automation Culture Impact Potentially resistant, compliance-focused, limited innovation
SMB Example Mandating CRM automation without employee input in a sales team.
Leadership Style Participative (Collaborative)
Automation Culture Impact Engaged, ownership-driven, fosters innovation
SMB Example Involving marketing and sales teams in selecting and implementing marketing automation tools.
Leadership Style Servant (Empowering)
Automation Culture Impact Highly adaptive, employee-led initiatives, strong learning culture
SMB Example Empowering employees to identify and implement automation solutions within their departments.
Leadership Style Transformational (Visionary)
Automation Culture Impact Enthusiastic, future-oriented, drives ambitious automation goals
SMB Example A CEO articulating a bold vision for AI-driven customer service and inspiring the team to achieve it.

Organizational Automation Ecosystems

Moving beyond strategic alignment, advanced analysis of leadership’s influence on automation culture necessitates examining the organization as a complex automation ecosystem. Consider research indicating that companies with mature digital cultures are 23% more profitable than their peers. This profitability isn’t solely driven by technology deployment; it’s rooted in a deeply ingrained organizational culture that embraces automation as a fundamental operating principle. Leadership at this level cultivates not just an automation culture, but an entire automation ecosystem, where technology, processes, and people are seamlessly integrated and continuously optimized for synergistic performance.

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Systemic Automation Thinking

Advanced leadership fosters systemic automation thinking, moving beyond departmental silos and viewing automation opportunities holistically across the entire value chain. This requires understanding interdependencies between different business functions and designing automation solutions that optimize end-to-end processes, rather than isolated tasks. For example, in a small supply chain-dependent business, systemic automation thinking would involve integrating automation across procurement, inventory management, production planning, logistics, and customer order fulfillment, creating a cohesive, digitally driven supply chain ecosystem. Leadership promotes this by encouraging cross-functional collaboration, establishing enterprise-wide automation strategies, and investing in integration technologies that connect disparate systems.

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Dynamic Automation Capabilities

An ecosystem is characterized by dynamic capabilities ● the organization’s ability to rapidly adapt and reconfigure its automation resources in response to changing market conditions and emerging opportunities. This requires a flexible and modular automation architecture, a culture of experimentation and rapid prototyping, and leadership that embraces agility and continuous innovation. Consider a small fintech company operating in a rapidly evolving regulatory environment.

Dynamic automation capabilities would enable it to quickly adapt its automated compliance processes to new regulations, develop and deploy new automated financial products, and respond swiftly to shifts in customer demand. Leadership cultivates this dynamism by fostering a culture of learning and adaptation, investing in cloud-based and low-code automation platforms, and empowering teams to experiment with new automation technologies.

Advanced are defined by organizational agility and the capacity for continuous, dynamic adaptation.

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Human-Machine Symbiosis at Scale

In advanced automation ecosystems, is not just a concept, but a deeply embedded operational reality. Leadership focuses on optimizing the interplay between human and automated capabilities at scale, creating workflows where humans and machines work together seamlessly, each leveraging their respective strengths. This requires a nuanced understanding of human skills and machine capabilities, careful task allocation, and continuous refinement of human-machine interfaces. Imagine a small healthcare clinic implementing AI-powered diagnostic tools.

Advanced human-machine symbiosis would involve integrating these tools into the clinical workflow in a way that augments, rather than replaces, physician expertise, allowing doctors to leverage AI insights for faster and more accurate diagnoses, while still retaining their critical clinical judgment and patient interaction skills. Leadership fosters this symbiosis by investing in human-centered automation design, providing training on collaborative human-machine workflows, and promoting a culture of mutual respect and learning between humans and AI systems.

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Automation-Driven Innovation Cycles

Advanced automation ecosystems fuel cycles. Automation not only improves existing processes but also generates new data, insights, and opportunities for further innovation. Leadership must establish feedback loops that leverage automation-generated data to identify new automation opportunities, refine existing automation systems, and drive ongoing process improvement and product innovation. This creates a virtuous cycle of automation and innovation, where automation becomes a self-reinforcing engine for organizational advancement.

Consider a small e-commerce platform using automation to personalize product recommendations. Analyzing customer interaction data generated by this automation can reveal new customer preferences, emerging product trends, and opportunities to develop entirely new product lines, creating a continuous cycle of data-driven innovation. Leadership cultivates this cycle by establishing data analytics capabilities, fostering a culture of experimentation and data-driven decision-making, and rewarding innovation driven by automation insights.

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Decentralized Automation Governance

As automation ecosystems mature, governance models need to evolve from centralized control to decentralized empowerment. While strategic direction and overarching principles remain crucial, day-to-day automation decisions and implementation should be distributed across different teams and departments, empowering employees closest to the operational context to drive automation initiatives. This fosters agility, responsiveness, and ownership of automation outcomes. However, decentralized governance requires clear guidelines, robust communication channels, and mechanisms for sharing best practices and ensuring alignment with overall organizational goals.

Imagine a small franchise business with multiple locations. Decentralized automation governance would empower individual franchise managers to implement automation solutions tailored to their specific location needs, while still adhering to overarching brand standards and data security protocols established by the central franchisor. Leadership facilitates this decentralization by providing automation toolkits and resources, establishing clear governance frameworks, and fostering a culture of collaboration and knowledge sharing across different teams and locations.

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Automation Culture as a Strategic Asset

At the advanced level, automation culture itself becomes a strategic asset, a source of competitive advantage that is difficult for competitors to replicate. A deeply ingrained automation culture attracts and retains top talent, fosters innovation, and enables the organization to adapt and thrive in dynamic market environments. Leadership recognizes this strategic value and actively invests in nurturing and strengthening the automation culture, viewing it as a key differentiator and a long-term source of sustainable competitive advantage. This involves not just technology investments, but also cultural initiatives, leadership development programs focused on automation, and communication strategies that reinforce the value of automation culture.

Consider a small software development company competing for talent in a highly competitive market. A strong automation culture, characterized by cutting-edge automation tools, opportunities to work on innovative automation projects, and a supportive environment for learning and experimentation, becomes a powerful magnet for attracting and retaining top software engineers and data scientists, giving the company a significant competitive edge in talent acquisition and innovation capacity.

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Evolving Leadership for Automation Ecosystems

Leading advanced automation ecosystems requires a fundamental shift in leadership paradigms. Leaders must evolve from traditional command-and-control models to become orchestrators of complex human-machine systems, facilitators of innovation, and champions of continuous learning and adaptation. This requires developing new leadership skills, including systems thinking, data literacy, change management expertise, and the ability to inspire and empower teams in a rapidly evolving technological landscape.

Leadership development programs must focus on these emerging skill sets, preparing leaders to navigate the complexities of advanced automation ecosystems and to cultivate the organizational culture necessary for sustained success in the age of intelligent automation. This also includes fostering ethical leadership, ensuring that automation is deployed responsibly and ethically, considering the broader societal implications and mitigating potential negative consequences.

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The Future of SMB Automation Leadership

The future of SMB lies in embracing a holistic, ecosystem-centric approach. Leaders who can cultivate dynamic, adaptive, and human-centric automation ecosystems will be best positioned to leverage the transformative power of automation for sustained growth and competitive advantage. This requires a long-term strategic vision, a commitment to continuous learning and innovation, and a deep understanding of the interplay between technology, people, and processes. SMB leadership must evolve to become not just adopters of automation, but architects of intelligent, adaptive, and ethically grounded automation ecosystems that drive organizational success and contribute positively to the broader business landscape.

Advanced organizational automation ecosystems, therefore, represent the pinnacle of leadership’s influence on automation culture. This encompasses systemic thinking, dynamic capabilities, human-machine symbiosis at scale, cycles, decentralized governance, automation culture as a strategic asset, and evolving leadership paradigms. It is a complex, interconnected, and continuously evolving domain, requiring sophisticated leadership and a deep organizational commitment to realizing the full potential of automation.

List 1 ● Key Elements of an Advanced Automation Ecosystem

  • Systemic Automation Thinking ● Optimizing automation across the entire value chain.
  • Dynamic Automation Capabilities ● Rapid adaptation and reconfiguration of automation resources.
  • Human-Machine Symbiosis at Scale ● Seamless integration of human and automated capabilities.
  • Automation-Driven Innovation Cycles ● Continuous innovation fueled by automation insights.
  • Decentralized Automation Governance ● Empowered teams driving automation initiatives.
  • Automation Culture as a Strategic Asset ● A source of competitive advantage and talent attraction.
  • Evolving Leadership Paradigms ● Leaders as orchestrators and facilitators of innovation.

List 2 ● Leadership Skills for Advanced Automation Ecosystems

  1. Systems Thinking ● Understanding complex interdependencies within the organization.
  2. Data Literacy ● Ability to interpret and leverage data for automation decisions.
  3. Change Management Expertise ● Guiding organizational transformation effectively.
  4. Agile Leadership ● Embracing adaptability and rapid iteration.
  5. Ethical Leadership ● Ensuring responsible and ethical automation deployment.
  6. Innovation Facilitation ● Fostering a culture of continuous innovation.
  7. Human-Centered Design ● Prioritizing human needs in automation implementation.

References

  • Brynjolfsson, Erik, and Andrew McAfee. The Second Machine Age ● Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company, 2014.
  • Davenport, Thomas H., and Julia Kirby. Only Humans Need Apply ● Winners and Losers in the Age of Smart Machines. Harper Business, 2016.
  • Manyika, James, et al. “A Future That Works ● Automation, Employment, and Productivity.” McKinsey Global Institute, January 2017.
  • Schwab, Klaus. The Fourth Industrial Revolution. World Economic Forum, 2016.

Reflection

Perhaps the most controversial, yet unspoken truth about leadership and automation culture is the inherent gamble involved. We often discuss strategy, efficiency, and competitive advantage, but rarely acknowledge the leap of faith required to fully embrace automation. Leaders, in shaping automation culture, are essentially betting on a future they cannot fully predict, a future where the very nature of work and organizational structures is fundamentally reshaped.

This bet, while potentially lucrative, carries significant risks ● the risk of misaligned technology, of unforeseen societal impacts, and of alienating the very human capital that automation is intended to augment. True leadership in the age of automation, therefore, demands not just strategic acumen, but also a profound humility and a willingness to adapt, iterate, and perhaps even reverse course when the unpredictable winds of technological change inevitably shift.

Business Automation Ecosystems, Strategic Automation Alignment, Human-Machine Symbiosis

Leadership shapes automation culture by defining its purpose, leading by example, and strategically integrating it for SMB growth and competitive advantage.

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