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What is the Impact on Tech Work if Everyone is a Tech Professional_

The rise of artificial intelligence (AI) could unlock incredible new abilities for workers everywhere. Business leaders may have heard about increasingly sophisticated no- and low-code tools that allow<br><br>

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What is the Impact on Tech Work if Everyone is a Tech Professional_

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  1. What is the Impact on Tech Work if Everyone is a Tech Professional?

  2. The rise of artificial intelligence (AI) could unlock incredible new abilities for workers everywhere. Business leaders may have heard about increasingly sophisticated no- and low-code tools that allow even employees with little coding knowledge to quickly spin up simple apps and services; as AI makes these tools more capable, we could see a new era in which every worker is empowered to use technology to advance their organization’s goals.

  3. The Democratization of Tech Skills In 2018, Microsoft released Power Apps, a no-code app-building platform; in one notable case, a security guard at Heathrow Airport used the platform to build apps that made his job far more efficient... and was promoted to a technical role as a result. Power Apps gave a company’s administrators some ability to regulate employees’ app-building (such as which databases they could access), but they could not prevent these newbie coders from doing whatever they wanted. According to Microsoft, this “controlled chaos” was by design; in theory, if a sysadmin could not prevent Javier and Malika in [AH3] Accounting from spinning up a plethora of phone-based data-analytics apps, it would prove great for the organization’s momentum and creativity.

  4. The (Cautious) Rise of Tech-Empowered Employees But every leader knows that there is sometimes a thin line between creativity and outright chaos. You want your newly empowered employees to use AI to build what they need, but you do not want your company’s tech stack to lose its cohesion. Moreover, your cybersecurity experts and other tech professionals still need to maintain their visibility into the stack for security and compliance (among other mission-critical tasks). Before non-technical employees utilize AI-powered development platforms to create custom applications or workflows, your organization needs to create a broader strategy for its use of AI.

  5. Your leaders also need to level-set their expectations on employees’ use of AI... and set clearly defined limits. Here are some additional elements to consider on this journey: ● Assess Current Tech Stack and Identify Gaps: Identify any potential limitations or challenges that may need to be addressed to ensure seamless integration between your existing tech stack and AI development tools. Develop a Clear AI Strategy: Define your company's objectives for using AI-powered app development, including specific use cases, goals, and resources. Make sure that everyone in the organization is aware of this strategy and its implications. Establish Guidelines and Policies: Create guidelines and policies to govern the use of AI-powered development tools. Your employees should be aware of the privacy and security implications, for instance. Provide Training and Support: Offer comprehensive training programs to equip employees with the skills and knowledge needed to effectively use AI-powered development tools. Provide ongoing support to address questions and troubleshoot issues. Implement Robust Security Measures: Protect sensitive data and prevent unauthorized access. Your tech teams should implement strong security controls, regularly update software, and monitor for potential threats. ● ● ● ●

  6. The Impact on Tech Professionals Do AI-enhanced employees threaten the current jobs of tech professionals? While tech pros might have some concerns, it is important to recognize the opportunities in this change in thinking. As AI tools become more sophisticated, more employees will be able to handle everyday tech work, freeing tech professionals to focus on higher-level tasks such as updating the tech stack, training new AI models, and dealing with “edge cases” in cybersecurity and other arenas. In fact, the rise of these tools may create new tech roles and career paths. For example, some tech professionals could evolve into “AI trainers” tasked with helping employees in their use of AI tools. Other tech pros might find themselves tasked with monitoring and optimizing AI outputs, including those new apps and services.

  7. A New Era of Business Models The AI-driven democratization of tools may also drive a broader change in the way businesses operate. As more employees become empowered to build and iterate, companies can explore new business models and revenue streams. For example, a marketing team could rely on AI to quickly spin up highly customized campaigns in response to news cycles or customer interactions. Manufacturing companies could use AI to streamline design processes, bringing products to market even faster. Additionally, increased access to AI and software development can foster a more agile and responsive business culture. By empowering employees to experiment with recent technologies and develop innovative solutions, companies can adapt more quickly to changing market conditions and customer needs.

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