According to a recent Gartner study, 15% of everyday work decisions will be made autonomously by 2028. That’s a rise from 0% last year, which illustrates the accelerating impact AI is having on most job functions and the broader workforce. The accelerating pace of AI innovation leads many to voice concerns over the newfound tech […]
According to a recent Gartner study, 15% of everyday work decisions will be made autonomously by 2028.
That’s a rise from 0% last year, which illustrates the accelerating impact AI is having on most job functions and the broader workforce. The accelerating pace of AI innovation leads many to voice concerns over the newfound tech replacing certain jobs altogether.
The reality, however, is more nuanced. While AI is rapidly acquiring new skills, rather than replacing jobs AI is primarily augmenting existing roles and even generating entirely new ones.
This shift has been driven by continued advances in AI over the past three years, culminating in the development of sophisticated forms like generative, predictive, and, most recently, agentic AI.
This AI triad, when combined with no-code, has the potential to reshape the workforce.
The begging question is: will it empower or take over?
Unpacking the AI triad
Starting with ELIZA in 1966, a chatbot that simulated conversation using scripted responses, AI has come a long way. Despite its simplicity, this early invention set the stage for future AI development – it was AI that could (seemingly) talk with you and work with you.
Almost 60 years on, we’ve reached an era defined by technology that falls into three categories of AI:
Predictive AI has been adopted for years. It uses statistical analysis and machine learning to identify patterns, anticipate behaviours and forecast upcoming events. Workplaces might use it to analyse customer behaviour and predict sales trends.
Generative AI is newer and advanced type and produces original content based on Large Language Models, which a marketing team might utilise to create a tailored product pitch, for example.
Now in the spotlight is agentic AI. This complex ensemble of machine learning, natural language processing, and automation technologies works with or without human supervision, and workplaces can employ it to autonomously make decisions and take action.
This unexpected expansion of AI has left many fearing a workforce rendered obsolete.
However, this creates an opportunity – an opportunity for human and AI agents to work together to produce unprecedented results. Rather than replacing human talent, AI agents can execute time-consuming tasks to enable your employees with more time for creativity and strategic thinking, as the AI triad automates administrative tasks.
McKinsey’s study found that 30% of the activities in 60% of all occupations could be automated, demonstrating how with the help of AI, employees can free up a significant amount of their time to refocus on more strategic tasks.
Empowering employees to build AI with no-code
While integrating and adopting this new AI tech is essential to success in today’s market, there remains a stand-out problem with its increasing sophistication: it’s becoming harder to keep up and maintain the needed technical skills given the rapid introduction of new AI skills and technologies.
No-code is a strategy that businesses have adopted to empower their employees – without technical backgrounds – to build new AI-powered automations.
It democratises technology by removing the need for extensive AI coding and programming skills, allowing non-technical users to build applications and automate AI workflows through visual interface configuration. In other words, no-code lets you build AI applications without coding.
It works with a drag-and-drop interface that gives users the freedom to build AI-powered apps by selecting and arranging components in a logical flow. The result is greater flexibility and collaboration between technical and non-technical teams.
With no-code, employees can become proficient AI creators without having to take the time to learn to code. In this way, rather than replacing jobs, it’s enhancing the employee roles, making them more efficient and freeing up time for more strategic and creative tasks.
A combined approach
So, what does no-code mean for the AI triad (agentic, generative and prescriptive)?
Simply put, no-code provides a unified platform for AI to work its magic. Rather than adopting a toolbox of numerous point solutions, adopting a platform approach that blends the AI triad with no-code creates a best-of-both-worlds solution that workplaces can use to transform how they do business. Workplaces can use the two together to tailor processes to suit their individual business needs, leading to more flexible approaches to work. While no-code makes complex technology accessible, unified AI injects intelligent automation and data-driven insights into the equation. The result is a potent force that strengthens the workforce and drives innovation.
Howden’s Kitchens transforms trade process with no code platform
For example, a sales team might use AI-powered chatbots, built on a no-code platform, to automate routine customer service inquiries. This would lead to reduced response times while freeing up sales employees to focus on building relationships and solving more complex problems, increasing overall productivity.
Similarly, marketing teams can leverage AI within no-code platforms to analyse volumes of data and personalise customer interactions. Quickly creating campaign landing pages for product launches or building custom AI models to analyse trends and forecast business metrics becomes a reality without requiring a team of developers.
HR teams can also benefit significantly – AI-powered CV screening tools, integrated with no-code workflow automation, can quickly identify top candidates, streamlining the hiring process and allowing HR professionals to focus on more strategic interviews.
Meanwhile, AI chatbots deployed through no-code platforms, can handle initial candidate inquiries, answer FAQs, and schedule interviews, further reducing manual workload.
All these solutions can be built on one unified AI-native, no-code platform which allows you to scale the adoption and take advantage of the synergy between AI and no-code extends across departments.
Businesses can now drive efficiency, innovation, and smarter decision-making across the board, all without the need for adopting numerous AI frameworks and tools or extensive coding knowledge.
This democratisation of AI, facilitated by no-code, is empowering a new generation of workers to embrace cutting-edge technology, enabling businesses to become more agile, innovative, and competitive.
The future of work
While AI and no-code offer great potential for automation and efficiency, the model for blending human and AI talent together remains a critical factor.
The future of work will be defined not just by technology, but by how we choose to use it – to enhance our skills, foster creativity, and ultimately, create a more fulfilling and productive work experience.
Together, AI and no-code empower workforces, arming them with more time to focus on the tasks that matter. The synergy of human and AI talent co-exiting in your workforce will unlock the ability to delivery truly transformative results.
