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The best new AI camera feature I've seen

📸

Why didn't more phone companies ship this?

Apple really missed the boat imo.

Sounds obvious in hindsight.

It always does.

That's the beauty of growth marketing.

One experiment makes up for hundreds of failures.

But we don't always have the right culture for that in North America imo. I've seen growth teams obsess over their hit rate, the percentage of experiments that produce a winning result

A 20% hit rate sounds impressive

VS

A 5% hit rate sounds like failure.

But hit rate without volume is a vanity metric.

If you run 10 experiments at a 20% hit rate, you ship 2 winners per quarter. If you run 60 experiments at a 5% hit rate, you ship 3 winners per quarter and your team has accumulated 57 data points that compound into your next cycle. The team with the lower hit rate is running ahead.

Tech culture has the incentives backwards. We celebrate the hit. We quietly bury the failure. But the failure cycle is what builds the intuition, the speed, and the pattern recognition that eventually produces the obvious in hindsight feature everyone wishes they had shipped first.

The right question is not "what is our hit rate?" It

Coding is dead in 2026?

Everywhere I look, someone is saying:

“AI will replace developers.”

But here’s the uncomfortable truth:

Coding isn’t dying.

Bad, repetitive coding is.

In 2026, devs won’t be replaced by AI,

they’ll be replaced by developers who know how to use AI.

I explained who’s actually at risk, who’s safe,

and what skills matter now in my latest video :)

🎥 Full breakdown → https://lnkd.in/gn-UsmmA

So… is coding dead?

Or is the bar just getting higher? 👇

UPI has been incredible for India to say the least.

Also to all the smart folk, some friends of mine who champion the need for a dollar backed stable coins(I'm speaking for dollar backed stablecoin specifically), this seems like a bad idea, long term, for India.

Credit where it's due, to Modi govt and Indian regulators, you probably got this one right in the face of a lot of pressure.

On the other hand if there were a gold based stablecoin, and one could monetize the unutilised gold in Indian households to return a yield, don't know enough to talk about this, but thoughts?

Prediction: In <12 months CEOs will realize AI layoffs were a mistake, but they won't admit that. Instead they will say that business is going so well due to their fantastic leadership that they need to hire more people.

At Meta, we were understaffed before the layoffs. The layoffs and reassigning 7,000 engineers to work on AI data labeling made it even worse.

Why is the AI backlash growing?

Outside of coding (where there is clear value), and a handful of other domains (e.g. brainstorming), Generative AI has been a net negative for society.

GenAI has been undermining secondary and college education, opening up mass surveillance, increasing disinformation, delusions, impersonation, phishing, and other forms of cybercrime, nonconsensual deep fake porn, bias in employment and other domains, and economic disparity, drowning the world in slop and unwanted, over-leveraged environment-damaging data centers that risk causing a recession.

Simultaneously it has empowered a bunch of people who want to privatize almost all the gains while leave all the downsides to society, taking almost zero responsibility.

I don’t think we are better off than we were four years ago.

Some of this is technical (LLMs aren’t reliable), some of it is political/economic (such as the utter lack of responsible regulation). Most of this was predictable.

Almost none of it is good.

All that said, I honestly believes some future form of AI might be great. But Generative AI has hurt more than it has helped, and been managed irresponsibly.

Spoiler alert: Everything in marketing works.

I've done over 300 hours of interviews with CMOs and VPs in B2B marketing. I spent a decade as a marketing leader myself (before officially become a thought leader) and I can tell you this one thing:

Everything in marketing works.

YouTube works. LinkedIn works. Direct mail works. Webinars work. TikTok works. Email works. Events work. PR works. Partnerships work. Heck, even spending $75k with Gartner can work.

But the challenge is figuring out which channels can work for you with the ingredients you have.

You don't always have the product, the features, the timing, the wind at your back, the talent on the team, the budget. But that is the fun part about the job in marketing - you get be the chef, but sometimes there's only two eggs, a slice of bread and an onion left in the fridge. Can you work with that?

The other thing that matters is the strategy. Why are you doing this. What are the goals, what is your POV on it, and how can you pull it off?

Too often we try to do everything - all those channels above - because we think we have to. And the result is another B2B YouTube channel with 30 videos that all have between 17 and 62 vie

Software is not dead. It is becoming more valuable than ever.

A few days ago at the Cisco AI Summit, I witnessed Jensen Huang dismantle one of the biggest myths currently circulating in the tech world: The "Death of SaaS."

There is a loud narrative that AI will eventually "kill" software companies because agents will just build everything themselves.

👉 Jensen’s take? It is the most illogical thing in the world.

He offered an "ultimate thought experiment" that every C-suite leader needs to hear:

If we successfully build the ultimate Humanoid Robot (Physical AGI), what does that robot do when it needs to turn a screw?

Does it try to "re-invent" its own hand into a screwdriver?

Does it try to "become" a hammer?

No. It picks up a screwdriver.

The Tool vs. The Labor: As I’ve been writing in my work on Agentic AI, we have to stop confusing the "Labor" (the Agent) with the "Tool" (the Software).

Just as a physical robot uses a hammer because $F = ma$ is a physical law, a Digital Agent will use SAP, Box, or Salesforce because business logic, tax compliance, and structured workflows are "digital laws."

Software is not dead. It’s becoming the "Digital Hands" of the Agentic Era.

Claude Code did not just grow fast. It became a warning signal.

From zero to $1B in revenue in six months. Possibly already closer to $2B.

Faster than ChatGPT reached that milestone.

But the real story is not the revenue. It is who is using it.

Microsoft engineers are reportedly using Claude Code internally, even though Microsoft sells GitHub Copilot.

A Google principal engineer said Claude reproduced a year of architectural work in one hour.

At Epic, the healthcare technology company behind MyChart, more than half of Claude Code usage reportedly comes from non-developer roles.

Support teams. Implementation teams.

People who were never supposed to “code.”

Novo Nordisk used it to cut regulatory documentation from more than 10 weeks to 10 minutes. And the person prototyping new features was not a software engineer. They had a PhD in molecular biology.

That is the shift.

AI is no longer only making developers faster. It is turning domain experts into builders.

70% of Fortune 100 companies are now using Claude. Engineering teams are reporting 2x to 10x speed improvements.

This is not a trend anymore.

It is becoming the new baseline.

For me, this is the urgent lesson for

Every January, the same headlines. EV sales are slumping. Nobody wants electric cars. The bubble has burst. And every year, the data tells a different story.

In 2015, battery electric cars made up 0.3% of new UK registrations. The 12-month average now stands at 25.1%. One in four new cars registered in the UK is fully electric.

So why do the collapse stories keep coming? Because of a predictable seasonal pattern. Manufacturers push EV registrations into December to meet fleet targets and the ZEV mandate. January then looks weak by comparison. It happens every single year. The spike and the dip are two halves of the same mechanism.

But: the December peaks are becoming less exceptional. In 2022, December’s EV share stood 16 percentage points above that year’s average. In 2025, just 6 points. The baseline has caught up with the peaks.

And June 2026 came in at 29.9%. Within touching distance of December levels, in an ordinary month.

The rolling average has climbed for a decade without a single sustained decline. You can question the pace as being too slow. But you cannot question the direction of travel as the data is pretty clear.

Next time you read that nobody wants EVs, check t

Claude beats ChatGPT for getting leads on LinkedIn.

I just finished the Claude Mastery Guide - get access ↓

Claude is the smartest Al right now.

I use it to nail messaging, build ICPs, and write content frameworks.

This one tool replaced hours of guesswork.

But 90% of people prompt it like ChatGPT.

That's why I wrote the Claude Mastery Guide:

→ The #1 strategy that makes Claude reign supreme
→ How Claude thinks differently
→ Workflow built for Claude
→ 200+ Al Prompts

Comment "Claude" and I'll DM it to you.

♻️ Repost this for priority access - inbox is a bit full right now

In 2026, small teams with the right tools can hit $10M+ ARR faster than ever.

This AI stack automates every stage of building a startup 👇

- Stripe for payments

- Perplexity for market research

- Google NotebookLM for knowledge base

- Recraft for creative visuals

- Figma Make for design

- Runway for video

- Claude Code for coding

- Vercel for deploying

- Supabase for database

- v0 by Vercel for UI prototyping

- Clay for GTM

- Fin for customer support

- GetFluently.app for sales & pitch calls in English

- Amplitude for analytics

- Resend for emails

2 years ago, this would've cost you $500K in salaries. Today? Under $500/month.

Small teams with the right stack are outperforming companies 10x their size - with lower burn, higher margins, and faster time to market.

The barrier to starting a company has never been lower. The only thing that matters now is how fast you move from idea to market.

What tools did I miss?

The people who say AI is killing SQL can you please join the long line of people that Joe Reis and I will cackle about in 2030.

NoSQL didn’t kill SQL

Hadoop didn’t kill SQL

Tableau didn’t kill SQL

Spark didn’t kill SQL

dbt didn’t kill SQL

AI won’t kill SQL either

Every major shift in data has made SQL more valuable, not less.

The tools change

The interfaces change

The abstraction layer changes

Asking questions of data and expressing that logic in SQL has been durable for basically the entire existence of modern computers.

SQL isn’t disappearing. You’re kind of a silly goose if you think it is.

Data modeling (especially with SQL and complex data types) is king in 2026 because data modeling is just “context” and almost all analytical context is expressed in SQL.

You don't need a better AI

You need the right one for the right task

Most people pick one and use it for everything

Then wonder why their output still feels like it was written by someone who wasn't fully paying attention.

And this is where the comparison posts always get it wrong:

Claude and ChatGPT are not rivals.

They're different tools built for different brains

One was designed to think deeply

One was designed to move fast

And using the wrong one for the wrong job is like using a scalpel to cut bread.

Technically possible

Deeply frustrating

Not the tool's fault...

𝗖𝗼𝗻𝘁𝗲𝗫𝘁 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴

Claude → massive documents, deep reasoning

ChatGPT → workflows, instructions, session memory

60-page report to analyse? Claude

Multi-step task to execute? ChatGPT

𝗪𝗿𝗶𝘁𝗶𝗻𝗴 & 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

Claude → nuance, argument, structure

ChatGPT → range, speed, any format

Thought leadership and essays? Claude

Copy that needs to move fast? ChatGPT

𝗖𝗼𝗱𝗶𝗻𝗴

Claude → understanding and explaining existing code

ChatGPT → generating clean code from scratch

Debugging a messy codebase? Claude

Building something new? ChatGPT

𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 & 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀

Claude → deep synthesis, critical thinking

ChatGPT → real-ti

[This post was cut off]

🎙️ Grateful to Fast Company, (Bryan Lufkin, Jonathan Gluck, Joshua Christensen, and the entire team) for this conversation.

The timing feels urgent: as AI agents proliferate and workforce displacement anxiety hits new highs, the question isn't whether to integrate AI , It's how we do it with intention.

In the past 60 days alone: Microsoft announced 6,000 layoffs partly attributed to AI efficiency gains. Klarna replaced 700 customer service roles with AI. And yet , Salesforce just committed to hiring 2,000 more people to support its AI expansion.

Same technology. Completely different outcomes. The difference isn't the AI.

It's the design philosophy behind how leaders deploy it.

The organizations winning right now aren't asking "how much can we automate?"

They're asking "what becomes possible for our people when we remove the work that never required their full potential in the first place?"

That's the conversation worth having.

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🚨 If you're not using AI every day, you're falling behind. Let me put this into perspective ...

When I launched an e-commerce site in 1996 in the wine space, people made fun of me for not opening up another physical store instead.

The UK is the only country in the world banning new oil and gas licenses.

Pushed through by Ed Miliband, supported by the SNP.

At a time when the world is becoming more dangerous, he is leaving us more reliant on foreign imports.

Unforgivable.

The most expensive solution is usually the wrong diagnosis.

Speed is expensive. Certainty is nearly free. And yet we almost always optimise for the wrong variable.

If you find this kind of thinking useful , or infuriating. Tom Goodwin and I went into this and much else on a recent episode of Uncensored CMO with Jon Evans. Worth a listen.

Link in comments 👇

Anna Cairns Kerry Collinge

Everyone thought AI would replace the thinking first.

It's the opposite.

AI is taking the busywork, and leaving the judgment to you.

That's the whole shift.

Let it do the gathering, drafting, and cleanup.

Then spend the time you get back on the part that actually needs a human:

Deciding what it all means and what to do next.

The people who win won't fight this.

They'll hand off the busywork fast, and get very good at the thinking that's left.

the ridiculous engineering layoffs I've witnessed and hype-driven technology choices all inevitably lead to system instability and a reduction in useful innovation. Will they pay attention to the “learning experiences” that have been happening? I remain skeptical.

AI isn’t slowing down anytime soon, and neither should we.

Here’s a curated list of powerful AI tools across different categories that are changing how we create, sell, build, and live.

YouTube Tools - For creators who want better scripts, thumbnails, and growth.

Sales Tools - Smarter outreach, personalization, and automation.

Productivity Tools - Automate repetitive tasks and get more done in less time.

Music Tools - AI-generated soundtracks and compositions.

Writing Tools - From paraphrasing to full-scale content creation.

Coding Tools - Build faster with AI-assisted development.

Chatbot Tools - Create conversational experiences in minutes.

Daily Life Tools - AI for task management and organization.

Content Creation Tools - Turn ideas into publish-ready content.

Twitter/X Tools - Grow and manage your audience efficiently.

Image Tools - Generate and edit stunning visuals with AI.

Chrome Extensions - AI directly in your browser workflow.

Whether you're a creator, founder, developer, marketer, or just AI-curious, there’s something here to boost your workflow.

The real edge today isn’t just working hard.

It’s knowing which tools to use and how to use them effectively.

Which AI

🚀 The Agentic AI Roadmap for 2026 is here, and it’s bigger than you think.

Most people are still talking about prompts.
What I\u2019ve seen happening is the shift

👉 From LLMs → to autonomous AI agents that plan, act, learn, and collaborate.

I came across this “Agentic AI Roadmap 2026”, and it perfectly captures where things are heading.

Here’s what stands out

🔹 AI is becoming a system, not just a model
It’s no longer about GPT vs Claude vs Gemini.
It’s about how you combine:
Memory (short + long term)
Tools (APIs, code execution, browsing)
Orchestration (LangGraph, workflows)
Decision-making loops
🔹 RAG is just the beginning
We’re moving into:
Hybrid search
Query refinement
Custom embeddings
Context-aware retrieval systems
🔹 Agents need structure
The real power comes from:
Task planning algorithms
Multi-agent collaboration
Feedback loops & self-reflection
Guardrails + validation systems
🔹 Ops is the new frontier
Building agents is easy.
Running them reliably is not.
You’ll need:
Observability (tracing, logging)
Evaluation frameworks
Human-in-the-loop systems
Security & governance baked in
🔹 Developers → AI architects
The skill shift is clear:
Not just writing code
But designing intelli

BREAKING: AI can now finish your 60-hour workweek in 15 hours while bosses think you're "grinding"

The difference is life-changing.

Most people waste 45 hours/week on tasks that AI now completes in minutes.

---

I compiled 12 insane Claude prompts that automate reports, emails, and presentations.

These are the exact frameworks that let Claude:

→ Generate Monday morning status reports like McKinsey associates
→ Draft professional emails like Goldman Sachs VPs
→ Build complete presentations like Bain consultants
→ Extract meeting notes and action items like Deloitte PMs
→ Write Amazon-style 6-page narrative memos
→ Create data analysis reports like PwC analysts
→ Generate process documentation like Accenture consultants
→ Automate weekly summaries and dashboards
→ Draft client-ready deliverables instantly
→ Transform raw data into executive insights

I'm talking about work automation that saves 45+ hours per week.

Now you can compress a 60-hour workweek into 15 hours.

---

Want access to all Enterprise-Grade Work Automation Prompts?

1️⃣ Comment & DM me "Automation" (DM me if you can't connect)
2️⃣ Connect with me (so I can DM you)
3️⃣ Like this post

P.S. Repost for priority

India will never have a Nubank. Or a Revolut.

Not because we lack the talent or the demand. Because the RBI doesn't let a digital-only bank exist the way Brazil or the UK do.

I've spent the last few weeks going back through the licensing on-ramps every neobank in India has actually tried. The picture is stark. ⤵️

→ Jupiter has raised $200M+, built one of the slickest apps in Indian fintech, and still isn't a bank. It runs entirely on partner licenses - Federal Bank holds the deposits, NBFCs hold the loans. Jupiter holds the UX.

→ slice took the harder road - merged into an actual Small Finance Bank to get a real license. The price of that license: mandatory listing and a loan book that has to be majorly secured.

A company built on unsecured, underwriting-led lending to young India now has a regulatory clock forcing it toward secured, asset-backed lending. That's a different business.

And once you clear all of that, the market still doesn't price you on the app, the UX, or the distribution. It prices you on book - loans, deposits, NIMs. Same metrics as the 200-year-old bank next door.

Slice is doing the acquisition and product work as very well. That was never going to be the