Posts tagged "Tech Disruption"

9 posts

← Back to all posts

Sora 2 Changes the Video Play

3 min read

Sora 2 pushes AI video into mainstream use. Here’s what it enables now, who gets disrupted, and why B2B teams should pay attention.

OpenAI’s Sora 2 is not just a model upgrade. It’s text-to-video with sound, physics that make sense, and a social app where anyone can remix clips. That shifts AI video from a lab demo to something that can spread in the wild. The following screenshot is from the video generated realistically with this prompt (shared by the Sora team): "A person is standing on 2 horses with legs spread. make it not slowmo also realistic....
Read more →

Level Up or Get Left Behind by AI

3 min read

Walmart and Accenture show why AI is an existential risk for workers who don’t adapt, but also a chance to reinvent work for the better.

The sugarcoating is over. Walmart’s CEO Doug McMillon says, “AI is going to change literally every job.” Accenture’s CEO Julie Sweet is blunt too — some employees will be retrained, others will be exited. The world’s biggest employers are making it clear: if workers don’t adapt, they risk being left behind. The Existential Risk The risk is not just about losing jobs, but about jobs losing relevance. At Walmart, warehouse automation is already cutting some...
Read more →

Vibe-Coding Is Early But Already Changing SaaS

3 min read

Vibe-coding is still early, but already empowers non-technical builders while pressuring SaaS vendors to deliver leverage beyond features.

In a recent Every article, Dan Shipper highlights people who replaced expensive SaaS tools with AI-built alternatives. The stories aren’t just about cost-cutting. They show how quickly software creation is becoming accessible to people who never considered themselves builders. This is still early days. Vibe-coding — natural language prompting to generate working tools — is in the first phase of its maturity curve. It often takes a few iterations to get things right, as Shipper’s...
Read more →

How Product Leaders Can Adapt and Thrive in the AI Era

5 min read

Practical playbooks for product leaders to adapt and thrive in the AI era using wedge expansion, jobs-to-be-done, and dual transformation.

In the first post of this series, we looked at why AI disruption affects startups, giants, and companies with product-market fit differently. We saw that structural forces—like scale economies, network effects, and capability stacks—shape who adapts and who stalls. This post turns from why to how. The real challenge for product leaders is not predicting disruption but navigating it. While AI is reshaping every industry, companies that apply structured playbooks are better positioned to adapt...
Read more →

Why Startups Struggle and Giants Stall in the AI Era

7 min read

Why AI disruption challenges startups and giants while firms with product market fit adapt faster, explained through proven strategy frameworks.

Sam Altman has observed that both startups and large companies face unique struggles during the current wave of AI disruption, while firms that already have product-market fit often adapt more effectively (OfficeChai). Startups, despite their speed, often lack the foundation to scale. Giants, despite their resources, get trapped in bureaucracy. Companies with strong user adoption and proven fit, on the other hand, can use AI to deepen their advantage. This raises an important question for...
Read more →

AI Risks to SaaS Companies

3 min read

Generative + Agentic AI is accelerating feature commoditization; read the room and adapt.

The press around AI putting pressure on well-established SaaS companies is gaining some momentum. Note: We are not discussing specific stocks and valuations. Our focus is on the impact of AI on software companies. Analyst Ratings Published 08/11/2025… "Melius Research downgraded Adobe… warns of ongoing multiple compression for software-as-a-service companies… ‘AI is eating software’ …” AI isn’t a shiny add-on anymore. It’s like a sneaky wave that’s pushing SaaS valuations lower. Investors see that and...
Read more →

From Promise to Practice - AI's Real Impact on Medicine

3 min read

Real-world data on AI in medicine. Where it works (imaging, drug discovery), why it fails (data, integration), and what actually drives adoption.

Yesterday, we explored how AI transforms medical understanding, informing patients. Today, let's examine where AI actually delivers results in clinical practice. New research from the Journal of Clinical Medicine maps the gap between hype and reality. Resonates well with my personal experience. >"The central challenge is evident: as AI tools become more sophisticated, our capacity to integrate them ethically, equitably, and effectively into clinical practice must evolve in tandem. This editorial explores the remarkable progress...
Read more →

When AI Becomes Your Medical Translator

8 min read

How AI LLMs are transforming healthcare by empowering patients with PhD-level medical knowledge and reshaping the entire industry ecosystem.

Picture this: You receive an email from your doctor with three different cancer diagnoses. Your heart stops. The medical jargon feels like it's written in a foreign language. But instead of spiraling into a Google rabbit hole of worst-case scenarios, you take a screenshot and upload it to ChatGPT. Within seconds, you have a clear, understandable explanation of what you're facing. This isn't a hypothetical scenario—it's exactly what happened to Carolina, one of the patients...
Read more →

The Winner's Curse: Rhyming History in the AI Era

3 min read

Why AI disruption differs from past paradigm shifts: faster cycles, probabilistic computing, and why today's tech winners face an accelerating curse.

Ben Thompson's latest piece hits on something crucial: when computing paradigms shift, yesterday's winners often become tomorrow's strugglers. >The risk both companies are taking is the implicit assumption that AI is not a paradigm shift like mobile was. In Apple’s case, they assume that users want an iPhone first, and will ultimately be satisfied with good-enough local AI; in AWS’s case, they assume that AI is just another primitive like compute or storage that enterprises...
Read more →