Our next decade will be AI

I started axiacore in 2007, the same year the iPhone launched. We were getting into web development just as the world was pivoting to mobile—classic timing. We were 10 years late to the internet boom, entering just as the mobile revolution was beginning.

Looking back, there was a pattern. The late 90s saw an internet gold rush—the Nasdaq surged 600% between 1995 and 2000, and by 1999, nearly 40% of all venture capital was flowing into internet companies. Amazon and Google rode that wave perfectly. Amazon's revenue jumped from $16 million in 1996 to $1.6 billion by 1999. Google went public in 2004, already generating $2.7 billion in annual revenue.

Then came mobile. Apple's App Store launched in 2008 with fewer than 600 apps. By 2017, it had over 2 million apps and 180 billion downloads. Companies like Uber (founded in 2009) and Airbnb (launched in 2008) emerged during this shift. By 2011, Airbnb had already expanded to 89 countries and surpassed 1 million nights booked. The U.S. "app economy" went from zero jobs in 2007 to 466,000 app-related jobs by 2012.

Steve Jobs understood something important about missing your moment. In 1996, after losing the PC revolution to Microsoft, he said: "The desktop computer industry is dead… The PC wars are over. Done. Microsoft won." His response? "Milk the Macintosh for all it's worth—and get busy on the next great thing." When you've lost your opportunity once, you clearly recognize it the next time.

It's happening again in 2026. AI is the coming platform shift. The global AI market was roughly $200 billion in 2023 and is projected to hit $1.8 trillion by 2030. This time, we're moving in at the right moment. In 2027, axiacore will be 20 years old—mature enough to know what we want, young enough to go after it.

These transitions take time. The internet took about a decade to reach critical mass. Now more than half of enterprise workloads run in public clouds, but that took ten years of migration. I think the next platform after AI will be audio-first, but we'll see (pun intended).

This year, we positioned axiacore's vision on top of AI. We're working to understand how technology can save us time while keeping us human. Early studies show that knowledge workers complete writing, coding, and support tasks 14-40% faster with AI assistance, often producing higher-quality results.

McKinsey estimates that up to 30% of global work hours could be automated by 2030. The World Economic Forum projects that around 92 million roles could be displaced by AI and automation by that date. But this is the same pattern we've always seen: destruction and creation happening simultaneously.

During the Industrial Revolution, small farmers and artisans lost traditional livelihoods but reskilled as boilermakers, mechanics, and factory workers. The WEF projects roughly 170 million new roles will be created by 2030—AI specialists, data scientists, cybersecurity analysts—for a net gain of about 78 million jobs globally.

There will be too much to do and few people willing to do it. That's where robots will come in.

You can see this cycle in nature. During fall, trees appear to die, only to burst into spring with new growth. Every creative era follows a period of destruction. It happens in nature. We are nature.

Our mindset has shifted to building products that are agentic first—not passive tools waiting for instructions, but active systems looking for ways to help. It's all about autonomy.

We're using data proactively. The global datasphere is exploding—from 45 zettabytes in 2019 to a projected 175 zettabytes by 2025. McKinsey finds that data-driven organizations are 23 times more likely to acquire customers and 19 times more likely to be profitable than their peers.

We're compressing the creation cycle. What used to take a year now takes weeks. Our developers complete tasks about 55% faster on average. Recent studies show teams using AI coding platforms cut development cycles by a third and increase shipped code by over 60%. That compression—speed with certainty—is what we're after.

The question we ask about every product is: how could this be autonomous? From that starting point, we build our strategy. The data support this approach: companies with AI-led processes achieve 2.5× higher revenue growth and 2.4× higher productivity than their peers. Gartner projects that by 2028, organizations with an AI-first strategy will deliver roughly 25% better business outcomes than competitors without such a strategy.

I can bring all sorts of facts to support this idea, but in the end, it just makes sense. We are trusting our instincts–we're humans after all.

Here's to the next decade.

It's time to build.