'Human Versus Agent' Is the New 'Web Versus Mobile'
And the 2012 mobile-strategy mistakes are about to repeat themselves.
For most of the 2010s, every product conversation eventually included the same prioritization question: Web or mobile? Is our core customer sitting at a desk in an office or staring at their phone while shopping? At Intuit, I saw teams debate which experiences earned a dedicated mobile flow and which could get away with a responsive web page. Design systems, engineering org charts, and product requirement documents all made homage to that core tension.
The new product strategy question isn’t web vs mobile. It’s human vs agent.
Agentic AI is still in its infancy. But even now, the signs are here that this will be another revolution, perhaps bigger than the launch of the mobile era — and maybe even rival the arrival of the world wide web in the 1990s.
Three signals tell me we’ve crossed the threshold.
Voice interaction has finally arrived.
Mobile assistants — Siri, Cortana, Alexa — came a decade before their time. I had high hopes when Siri launched in 2014, only to be dismayed after suffering repeated instances of “set a timer” be translated to “set a tiger.” Siri promised a golden era of voice interaction, yet the years that followed reduced Siri’s launch to a collective shrug. Thankfully, that era is almost gone.
Leading voice systems in 2026 make mistakes on fewer than 5 of every 100 words, across accents, background noise, and the full mess of real environments. Once voice accuracy crosses 95%, talking no longer feels like a party trick, and starts feeling like the obvious way to interact. Watch closely next time you’re in a big city: the people talking on their phones aren’t just talking to other humans. They’re just as likely to be transcribing text messages, shopping, or giving instructions to an agent.
Agents went from toys to coworkers in under 24 months.
In late 2024, the best AI on the market could complete about 15 out of every 100 real-world computer tasks, such as logging into a site, filling out a form, comparing prices across tabs. Now, that number is close to 70 - about the same as an average person.
The ‘toy phase’ was the chatbot answering questions. The ‘coworker assistant’ phase is the agent doing work. The AI coworker logs into your portal, reconciles the numbers, drafts the email, books the flight. Amazon sued Perplexity in January over its AI agent casually shopping on Amazon. That lawsuit should be the proverbial canary in the coalmine — a clear signal that we’ve left the “interesting toy” era and entered the mainstream.
The language of search is changing.
Last week I found myself replying to a friend’s question with “Just ask Claude.” For decades (and for Gen Z, their entire lives), “Just Google it” has been the universal equivalent of finding things out. Yet I now notice an ever-increasing number of people around me say “Just ask Claude.” “Search Gemini.” “GPT it.”
Sixty percent of Google searches now end without a click. Google has become the place you go to verify: to find the source, to check if a thing is real. The AI LLMs become the place you go to draft, to explore, and do the actual work.
What this means — and what the mobile-vs-web debate taught us
These three signals point to one underlying story: humans are no longer the only customer navigating your product. Increasingly, an agent acting on the human’s behalf is doing the navigating, the comparing, the buying.
For businesses, the temptation is to treat this shift as a chance to bolt on “agentic AI” to the existing product. The mobile era should tell us that’s the wrong instinct. Instacart still has a web app; even Uber eventually built a serious web product for corporate accounts. They ran two surfaces in parallel, deliberately. The companies who lost were those that treated mobile as an afterthought — those who ported the desktop site to a smaller screen and moved on.
The agentic shift is taking the same shape. The winners will treat agents as a first-class business customer alongside humans.
This does definitely remind me of the engineering churn around how to handle those small screens.