Tech VS Touch
Science is not a vault of answers. It is a lantern, lit and lifted, casting light into corners we didn’t know were there. Each discovery feels new, not because no one has ever spoken of it, but because the heart gasps with recognition. The awe of touching something unspoiled by our own assumptions.
Artificial Intelligence, by contrast, could be seen as a mirror. It remembers our patterns, stitches together familiar notes, and reflects back the music humans have already written. Incredibly useful, yes. Unimaginably clever. But not the first shock of wonder as when a child lifts a rock and watches life scatter beneath it. That belongs to science and existentially, to us. Where science is becoming, AI is speeding up that process. One cracks open the world, while the other arranges what has fallen out.
What if the sharpest machine can only echo, while the simplest human touch still leaves us breathless?
Artificial Intelligence and machine learning have provided unprecedented breakthroughs in understanding disease, drug development, enzyme engineering and many environmental applications. Its value has yet to unfold completely in the world of chemistry and technology. AI/machine learning is responsible for answering decades old questions and unleashing powerful computing and prediction techniques that will positively affect generations to come. In our everyday lives, AI has become a trusted advisor, confidant and organizer of chaos! It’s kind of like your best friend meets the ultimate home organizer, plus handyman and math tutor.
Science and technology have never been twins so much as dance partners. Science raises questions, lanterns lifted and curiosity alive. Technology answers with tools, hammers, telescopes, and circuits; shaping questions into tangible answers. And just when it seems the dance is ending, technology spins science forward: a sharper microscope, a stronger telescope, a new constellation revealed.
In steps AI, not into the dance, but by echoing the cadence of each partner, leading the movement onward faster than ever before. It does not discover stars; it remembers constellations. Its databanks are the choreography of human steps repeated, reshaped, and tested against time, a single voice combined and working towards whatever goal you harness it to. Science is the ache of wonder; AI is the resonance and prediction.
So how do we keep personal touches alive in recruiting?
- Pause To Be Present with Talent
Our world is BUSY. A handwritten note, a call to just check in, or a coffee meet up. These tiny delays in our day-to-day carry more personal significance than instant hiring automation ever could.
- Delegate, Don’t Depend on AI Data
ChatGPT is amazing. Really. For speed, efficiency and organization, it has changed the footprint of the marketplace. Heck, it’s helped create businesses. However, the human parts: empathy, nuance, warmth, those set the tone for true connection.
- Value Visibility in Vetting
Important conversations deserve human presence. Introductions, feedback, and celebrations, pair well with a solid handshake or a great smile on the screen. Valuing a personality virtually or in person, well, the happiness to see another human overtakes the brightest screen.
- Build Belonging Across Teams
By nature, AI is transactional. We, you and I, are wired to belong to something bigger than ourselves. To be connected to a shared culture, and traditions that transcend the here and now and to a voice that whispers ‘I belong’ and ‘this is why I’m here’.
The answer is not to reject the mirror but to remember the lantern. To choose moments of real presence, to let technology enhance but never replace human connection. To set boundaries for its use so that our days are not swallowed by death scrolls and endless alerts. To be intentional with our words, making them meaningful instead of mechanical. To embrace the imperfections of human interaction, the laughter, the awkwardness, the unfiltered pictures, the slow beauty no machine can recreate.
That is the lantern worth lighting again and again, no algorithm required.
