“The Next AI Revolution Is Coming by 2035”: Siri Co-Founder Adam Cheyer Reveals What Everyone Is ...

At a time when AI revolution dominates headlines, few voices carry as much weight as Adam Cheyer, co-founder of Siri and a pioneer with over 40 years in AI.

Speaking on stage at HumanX, Cheyer didn’t pitch a product—he delivered something far more valuable: a framework for building the next generation of AI companies.

His message is clear: “AI is still early—and the biggest opportunities are still untapped”.

The First Rule of Innovation: Ideas Are Worthless Without Execution

Cheyer opened with a simple but powerful lesson:

“Everyone has ideas. What matters is getting out of the shower and doing something about them.”

In today’s AI gold rush, where ideas are abundant, execution is the true differentiator. According to Cheyer, success doesn’t come from inspiration—but from action.

Timing Is Everything: The “Trends and Triggers” Framework

One of the most actionable insights from the talk is Cheyer’s concept of: Trends + Triggers = Opportunity

Trends → your predictions about the future

Triggers → real-world signals that confirm your predictions

Cheyer revealed he has been using this framework for decades to build companies ahead of the curve.

Real-world examples

He predicted the rise of social networks before they went mainstream

The “trigger moment”? When MySpace became the most visited site in the US. Result: he helped launch platforms like Change.org, now with 570 million users globally

The best founders don’t just follow trends—they wait for the right moment to act.

Why Siri Was Built for the Future (Not the Present)

One of the most fascinating insights is how Siri was actually designed.

Cheyer explains that Siri wasn’t built for the world as it was—but for the world two years ahead.

At the time smartphones were slow, apps required too many clicks, interfaces were inefficient, so the team imagined a new interaction model.

“What if you could just say: get me two tickets—and it’s done?”

That vision became Siri. Even Steve Jobs immediately recognized its potential—so much so that he called Cheyer 30 days in a row to acquire the company.

What’s Missing in AI Today (And Where the Opportunity Lies)

Despite massive progress, Cheyer believes AI is still incomplete.

He identified three critical gaps:

1. The Wrong User Interface

Today’s AI is mostly text-based. That’s a problem.

“Three lines of text are not enough to make real decisions.”

The future is multimodal AI:

Visual + conversational

Interactive + contextual

The winning interface will combine voice, graphics, and touch seamlessly

The Missing “Know + Do” Architecture

Cheyer highlights a fundamental limitation:

Tools like ChatGPT are great at knowing

Siri was built for doing

Example: ChatGPT answers questions; Siri sends messages, books taxis, executes actions. The future requires combining both a unified system that can reason AND act.

No Clear Business Model

Every tech revolution had a monetization model:

PC → software sales

Web → advertising

Mobile → apps & subscriptions

AI still lacks a dominant model.

Until this is solved, the ecosystem will remain fragmented.

Beyond AI: The Rise of Collective Intelligence

Cheyer also introduced a deeper idea:

“AI won’t solve humanity’s biggest problems. We will.”

From climate change to global inequality, the real challenge is not intelligence—but coordination. This leads to a new frontier.

Collective Intelligence

– Better decision-making systems

– Human + AI collaboration

– Scalable coordination at global level

This could become one of the most important tech sectors of the next decade

The 2035 Prediction: The Next Big Tech Shift

Perhaps the most striking claim of the talk:

“The next major computing revolution will happen around 2035.”

2035 = the next paradigm shift. He doesn’t reveal exactly what it will be—but hints that we are currently early in the AI era so the biggest wave is still ahead.

Data Over Intuition: Why Metrics Wi

Cheyer revealed that Change.org was not originally intended to be a petition platform.

It became one because user behavior pointed in that direction and the team adapted quickly.