Just got back from this CEO forum in Manila last month and honestly, one question kept nagging at me the whole time: what kind of intelligence do we actually want running our economy?

The 2026 Philippine CEO Outlook brought together some serious players—business leaders, policymakers, economists—all wrestling with this human-machine partnership thing. On the surface it sounds like another tech discussion, right? But the real conversation underneath was way more interesting. It wasn't about algorithms or infrastructure at all. It was about how AI will fundamentally change what business even means, how we create things, and what humans are actually for in all this.

What struck me most was when SGV's deputy managing partner presented their findings. CEOs across the Philippines are starting to realize that AI won't just make existing processes faster. It's going to completely rewire how companies think and compete. But here's the thing nobody was really emphasizing enough—technology adoption alone doesn't win. The real shift has to be organizational and human. You need to retrain people, redesign how work actually happens, build cultures where human creativity and machine intelligence strengthen each other instead of fighting.

Then there's the MSME angle. ADB's Pratish Halady made this point that genuinely stuck with me. ASEAN has over 70 million small and medium enterprises. For decades, advanced analytics and real-time data? That was only for big corporations. Small business owners ran on instinct and experience. Now AI is starting to democratize all that. Small enterprises can access dynamic pricing systems, manage supply chains better, get into financial services they never could before. The productivity gains they're looking at are honestly massive. But it requires serious infrastructure investment—connectivity, computing power, energy systems. No single country pulls this off alone. That's why the ASEAN Digital Economy Framework Agreement is going to matter so much.

The DTI's Nylah Rizza Bautista (who's the Assistant Secretary there) talked about something important during her keynote—you don't accidentally build innovation ecosystems. They need sustained collaboration between government, industry, and entrepreneurs. They're launching a DTI AI and Startup Center specifically to help entrepreneurs and MSMEs get access to these emerging technologies. That's the kind of infrastructure thinking that actually moves the needle.

Now here's where I got a bit uncomfortable during the panel discussion. Everyone keeps calling MSMEs the backbone of the economy. It's become such a slogan that I'm not sure people remember what it actually means. The reality is most small businesses are still fighting limited access to capital, technology, and networks. Government programs help lower those barriers, but real competitiveness starts with mindset. MSMEs need to stop thinking like small companies trying to survive. They need to see themselves as innovation platforms that can reshape entire industries. At my company, we didn't wait for perfect support systems to start reimagining digital agriculture. We just believed a small operation could rethink how an entire sector works.

Here's what I think gets overlooked in the AI conversation: technology will eventually become cheap and available to everyone. What stays hard to replicate? Human creativity. Cultural intelligence. Local knowledge. We work with farming communities—farmers, indigenous groups—introducing IoT systems and digital agriculture tools. But the most valuable insights don't come from algorithms. They come from farmers interpreting sensor data through decades of lived experience. I joked during the panel that AI can analyze soil data, but it can't smell the rain the way a farmer can. People laughed, but there's something real underneath that. Innovation's future isn't machines alone. It's the interaction between human wisdom and technological intelligence.

The data conversation is shifting too. For years, sophisticated analytics were locked behind corporate walls. Now sensors, cloud platforms, analytics tools are democratizing access to real-time information. But the question isn't whether you have data. It's what you actually do with it. Are you using it to make genuinely better decisions? Or just confirming what you already believe? Technology should push entrepreneurs to question their assumptions, not just automate what they're already doing.

One discussion that really got interesting was about productivity metrics. We typically measure yield per hectare in agriculture. But if higher yields destroy soil, damage ecosystems, or displace farming communities, is that actually productivity? We're experimenting with broader measures—farmer capability, soil health, ecosystem resilience, community participation. That probably sounds weird in a business forum, but the companies that actually win in the future won't just produce more. They'll build better systems.

When the forum wrapped up, we circled back to AI. Most public conversation about it centers on fear—job displacement, automation, replacement. But maybe the more important question is what kind of intelligence we want shaping our economy. AI will absolutely transform productivity. It won't replace human imagination, empathy, purpose. If we use it right, it could expand access to knowledge, empower farmers, strengthen small businesses, support more sustainable industries. The most powerful application of AI might not be automation. It might be aligning technology with actual social good. And if that happens? MSMEs won't just adapt to the future economy. They'll help define it.