Late to Smartphones? Late to the Internet? Don’t Be Late to This One.

Transparency and access, not fear, are how we keep pace with change.

The Speed of a Revolution

From the printing press to radio, television and the iPhone, every new technology looked scary before it became obvious. Artificial intelligence is no different except for one thing: speed.

AI isn’t arriving slowly enough for people to adapt in comfort. The printing press reshaped society over centuries; radio and TV over decades. Has AI done it in months?

Pew Research (2023) found that 52 percent of Americans feel more concerned than excited about AI, a pattern that mirrors early reactions to broadcast media and the internet.

History shows this cycle: fear, adoption, normalization. But this time the acceleration curve leaves little margin for hesitation. According to Our World in Data, radio took 38 years to reach 50 million users, television 13, the internet 4, and ChatGPT hit that mark in under two months.

That’s the difference between an evolution and a revolution.

Fear Isn’t New, Control Is

Every major innovation triggers anxiety. The Luddites destroyed textile machines out of fear of unemployment. Radio was condemned for destroying conversation. Television was accused of melting minds. Today AI is the new villain, but it’s only as harmful as those who wield it.

The deeper fear isn’t about code; it’s about control. Over the past two decades digital systems and corporations have quietly shifted from serving users to managing them — tracking habits, shaping feeds and monetizing attention. When people hear AI they don’t think efficiency; they think manipulation or replacement.

A 2023 Goldman Sachs report estimated that automation could affect 300 million full-time jobs worldwide but also raise global GDP by 7 percent over a decade. That’s the paradox: displacement and opportunity, fear and progress all at once.

The real threat isn’t that AI will take everyone’s jobs. It’s that the benefits will concentrate among those already holding power.

Transparency Is the Antidote

For society to evolve safely with AI, information flow must be symmetrical. People can’t be left guessing how their data is used or what algorithms decide in the dark. A 2024 Knight Foundation study found that 64 percent of Americans believe government surveillance has increased since the pandemic yet fewer than 30 percent know how their local data is stored or accessed.

If that gap leads to distrust and delays some from engaging, the innovation is likely to concentrate in the hands of a few.

This is where the growing movement of First Amendment Auditors — citizen journalists who film public officials in public spaces — deserves mention. Whether you agree with their tactics or not, they highlight a core principle: there’s no private in public service. The way officials react to being filmed shows how uneven visibility has become. Citizens live under constant surveillance while institutions resist the same.

AI can enforce that same kind of accountability. Properly implemented it can record, verify and expose what human systems prefer to hide: corruption, bias, inefficiency. When every dataset and decision chain is visible, abuse has nowhere to thrive. Transparency isn’t a privacy violation; it’s the foundation of trust.

Adoption Is Equality

When smartphones emerged many dismissed them as unnecessary. Within years they became essential for work, navigation and safety. The same will happen with AI, but the divide will be sharper. Those who resist it won’t just fall behind professionally; they’ll fall out of the conversation.

Automation isn’t the end of human relevance; it’s the multiplier of it. The radio automated entertainment. The spreadsheet automated accounting. AI automates thought patterns, freeing people to apply judgment, empathy and creativity at scale.

The question isn’t whether automation replaces humans; it’s whether we let it replace meaning.

What Keeps It Human

Transparency, access and accountability must move in step with innovation. The public deserves visibility into how tools are built, trained and used. That visibility should extend across government, business and education alike.

Sunlight remains the best disinfectant. As Justice Louis Brandeis wrote, openness itself is a safeguard against abuse. AI isn’t the problem; opacity is.

The more open the systems, the less room there is for exploitation or fear.

The Opportunity We Can’t Waste

This moment is the greatest equalizer since the internet but only if the public claims a seat at the table. Waiting until it’s safe to engage is a recipe for irrelevance.

If you were late to the smartphone, the internet or social media, you eventually caught up. This time, you might not. The speed of AI’s evolution means those who hesitate will rely on those who didn’t, and that’s how dependence, not empowerment, grows.

Transparency and participation are how we prevent that imbalance.

AI should be used to elevate families, strengthen communities and reduce inequality, not to replace thought or amplify fear. It can teach, translate, monitor public health, expose corruption and connect local voices to global solutions. But none of that happens without open systems and shared access.

None of this is abstract. It’s already here. The only question is whether you’re inside the feedback loop or outside it.

Transparency and access, not fear, are how we keep pace with change. Don’t be late to this one. Society depends on it.

Sources

• Pew Research Center: Public Attitudes Toward Artificial Intelligence (2023)
• Our World in Data: Technology Adoption Curves
• Goldman Sachs: The Potentially Large Effects of Artificial Intelligence on Economic Growth (2023)
• Knight Foundation and Gallup: American Views 2022: Trust, Media and Democracy (updated 2023)
• Louis D. Brandeis: Other People’s Money and How the Bankers Use It (1914)