Everyone Believed in AI, Until This Week

In partnership with

Hello, Human Guide

Today, we will talk about these THREE stories:

• Why AI stocks suddenly feel fragile instead of inevitable

• The quiet tech trends that will actually matter in 2026

• How AI is slipping into hospitals faster than regulators expected

How Your Ads Will Win in 2026

Great ads don’t happen by accident. And in a world flooded with AI-generated content, the difference between “nice idea” and “real impact” matters more than ever.

Join award-winning creative strategist Babak Behrad and Neurons CEO Thomas Z. Ramsøy for a practical, science-backed webinar on what actually drives performance in modern advertising.

They’ll break down how top campaigns earn attention, stick in your target’s memory, and build brands people remember.

You’ll see how to:

• Apply neuroscience to creative decisions

• Design branding moments that actually land

• Make ads feel instantly relevant to real humans

In 2026, you have to earn attention. This webinar will show you exactly how to do it.

Save you spot

AI Stocks Aren’t Crashing — They’re Exposing Something Worse

The mood around AI stocks changed faster than most people admit.

After twelve months of momentum, several AI-exposed stocks swung wildly as earnings landed unevenly and guidance softened. According to Reuters, chip demand is still strong, but margins and timelines are stretching, while investors are rotating out of “promise trades” and into cash-flow certainty.

What stands out is that this is less about AI failing and more about patience running out. Late at night, with trading apps glowing on phones, the story stopped being “AI will change everything” and became “when does this actually pay?” The market didn’t lose faith in the tech — it lost tolerance for waiting.

If this continues, funding gets tighter, hiring slows, and only AI products that ship real value survive. Everything else gets cut.

If belief was the real fuel behind the AI rally, the real question is what happens now that belief has a price tag.

The Tech Trends That Will Actually Matter in 2026

The loudest tech trends are already fading, but quieter ones are locking in.

Industry forecasts show spending shifting away from flashy AI demos toward infrastructure, integration, and reliability. Instead of new models every month, companies are investing in data plumbing, smaller task-specific models, and systems that don’t break under real workloads.

What struck me is how unglamorous this phase feels. This looks like teams at 7 a.m., laptops open, fixing pipelines, permissions, and edge cases no demo ever shows. It’s less about intelligence and more about trust, latency, and whether the tool still works on Monday.

This shift favors boring winners: platforms that embed deeply and are painful to remove. The rest quietly disappear.

When AI stops being exciting and starts being invisible, the harder question is who still controls how it works.

AI Is Entering Hospitals Faster Than the Rules Can Keep Up

AI is already making clinical decisions, even when policies pretend it isn’t.

Hospitals are using AI to read scans, flag patient risks, and automate documentation, with studies showing time savings of 28–41% in radiology and admin-heavy workflows. Health systems say productivity gains are real, but oversight remains fragmented across regulators, vendors, and clinicians.

What bothers me is how quietly this is happening. In fluorescent hospital corridors, AI tools hum in the background while accountability stays fuzzy. Doctors trust outputs because they’re faster, not because they’re fully understood.

This creates a dangerous asymmetry: speed scales instantly, responsibility does not. Once these systems are embedded, turning them off becomes almost impossible.

If AI helps decide who gets care first, the real question is who takes responsibility when it gets it wrong.