Roberto Hortal, Chief Product and Technology Officer, Wall Street English, says AI isn’t the enemy of progress – thoughtless automation is.
AI is rapidly infiltrating every corner of education, work and leadership. It’s being sold as the ultimate game-changer – streamlining operations, solving skill gaps and unlocking productivity at scale. But is it truly transforming how we operate or simply helping us repeat the same old habits, just faster?
AI’s promise – and where it falls short
AI’s potential is undeniable. In theory, it can personalize learning, automate repetitive tasks and help leaders make sense of huge amounts of information. The technology is often wrapped in big promises – but the results don’t always measure up.
Take education, for example. AI tools now offer speech recognition to help learners perfect their pronunciation, using conversational bots for low-pressure practice. These tools are genuinely useful, remove the fear of embarrassment and make language learning more flexible than ever before.
But despite the shiny user interfaces and slick demos, these tools have clear and often quite narrow limits, applicable to limited scenarios.
They can be helpful in specific tasks, but they don’t stretch beyond that. They cannot replace the role of a skilled educator who can pick up on unspoken struggles, tailor encouragement, or shift approaches based on mood and motivation. AI might be able to track progress, but it can’t truly understand a person.
The same applies to the workplace. AI can certainly help, but it’s not always wise. Too often, organisations adopt AI hoping for transformation, only to find it simply automates the same inefficient processes or entrenched old ways of thinking. Although initial output may be faster, in many cases it simply produces more… more reports, more content, more output. But more doesn’t always mean better. When that output is low quality or poorly thought through, it still needs to be reviewed, maintained and managed.
Practical, purposeful and human-centric AI that works
Where AI truly delivers is when it’s designed to augment, not replace, human capabilities. The best use cases are grounded in clear goals, not hype.
In education, AI works best when it offers structured guidance alongside real teaching. It can spot patterns in how students engage, identify knowledge gaps early, and support teachers in tailoring interventions. It doesn’t remove the teacher, but it makes their role more focused and impactful.
In workforce development, AI can help personalize training paths based on role, experience, and learning style. It can also provide a safe environment for upskilling, like using simulations or chat-based tools to rehearse real-world scenarios without the fear of failure. AI can also support skilled professionals in their day-to-day work. By handling repetitive or time-consuming tasks, AI frees people up to focus on where they add the most value, like applying judgment, supervising outputs, and ensuring the final result is truly fit for purpose.
Using AI to think smarter, not surrender thinking
The real risk of AI isn’t that it’s too powerful, it’s that we overuse it in the wrong places. When we lean too hard on AI, we risk losing the human skills that matter most, such as critical thinking, creativity, and collaboration.
In leadership, this is especially dangerous. Relying on AI to surface recommendations or generate options can lead to a subtle erosion of judgment. Good leadership isn’t about selecting the top-ranked suggestion from a list, it’s about reading between the lines, navigating any grey areas, and making calls with empathy and context. The strongest leaders use AI to expand their perspective, not replace their judgment.
The same applies to learning. AI might nudge students through a curriculum, but it can’t inspire them, challenge their assumptions or make complex ideas truly stick. That still takes a teacher, a coach, or a mentor who understands how to unlock potential, not just track progress.
The AI illusion
One of the biggest issues with AI nowadays is the illusion of progress. Tools are being rolled out across organisations at breakneck speed, often without clear goals or understanding. Leaders invest in platforms expecting transformation but often end up with inefficient dashboards and data points, unclear on how to turn the avalanche of information into real insight or meaningful action. Without a strategy to connect data to decisions, AI can end up becoming another layer of noise.
AI is not a silver bullet. It’s not magically unbiased or infallible. And it won’t solve structural problems that require human-led change. If anything, rushed or poorly thought out implementations may often cause more harm than good, particularly in sensitive areas like hiring, promotion or performance management, where flawed data or assumptions can quietly reinforce existing biases.
The smart move is to take a step back, define what ‘good’ looks like, and then deploy AI with purpose. When the human context is missing, even the smartest algorithm is just noise.
AI’s future depends on human direction
The future of AI isn’t about removing humans from the loop; it’s about amplifying what people do best. When used responsibly, AI can help teams move faster, help learners stay motivated, and give leaders better information to make smarter calls.
But to truly unlock its potential, we must shape how AI is used. This means asking the hard questions, and ensuring AI is always aligned with real goals, not just for the sake of technology.
AI isn’t the enemy of progress – thoughtless automation is. When we stay curious, critical, and keep people at the centre, AI can be a powerful tool for a smarter, more human future.
