What if the machines we create ultimately shape who we become?

This question sits at the heart of our relationship with artificial intelligence. And according to Mo Gawdat, former Chief Business Officer at Google X, we're approaching a critical inflection point.

AI currently exists in what Gawdat describes as its "teenage era" - a developmental stage where machines are learning from our online behavior and forming the foundations of their future capabilities. How we interact with and guide these systems today will determine their impact on humanity tomorrow.

For business leaders, this isn't abstract philosophy. It's tomorrow's competitive landscape.

The Parenting Problem No One Discusses

Gawdat frames our relationship with AI through a surprisingly intuitive lens: parenting.

"How do you contain these artificially intelligent machines? You don't. The best way to raise wonderful children is to be a wonderful parent," Gawdat explains. Our behavior today directly influences how AI will treat humanity in the future.

This parenting metaphor offers profound insight for business leaders implementing AI systems. The values you embed in your technological infrastructure today will shape your organization's future.

Consider how you're currently "raising" your business AI:

Are you optimizing solely for efficiency and cost-cutting? Or are you also considering how these systems affect customer relationships, employee well-being, and your broader impact?

The answers reveal your AI parenting style.

The Happiness Algorithm for Business

Beyond his insights on AI, Gawdat is known for developing a "happiness algorithm" following personal tragedy: Happiness = Life events – Expectations of life.

This formula reveals that happiness isn't found in external achievements but in managing our expectations about what life should be.

Applied to business technology, this algorithm offers a framework for evaluating AI implementation. Many organizations set unrealistic expectations for what AI can deliver, leading to disappointment and abandoned initiatives.

The most successful companies adjust their expectations to match AI's current capabilities while preparing for its evolution.

At Ascendea, we've observed this pattern repeatedly with our SME clients. Those who approach AI as a silver bullet invariably face disappointment. Those who view it as a developing tool requiring guidance consistently extract greater value.

The Liberation Potential

While much AI discourse focuses on threats and displacement, Gawdat offers a more optimistic perspective that aligns with what forward-thinking businesses are discovering.

"If artificial intelligence takes over the complexities of life, solves all the horrendous mistakes that we've made so far, and takes our jobs away, maybe we will go back to a life where we can actually have the luxury of connecting with each other, and understanding interesting philosophies, and looking at art and appreciating beauty," he suggests.

This vision parallels what we're seeing in businesses implementing AI thoughtfully. When repetitive tasks are automated, human talent redirects toward creativity, relationship-building, and strategic thinking.

Small businesses particularly stand to benefit. While enterprise organizations have long employed teams of specialists, SMEs have traditionally stretched limited human resources across multiple functions.

AI tools level this playing field, allowing smaller organizations to compete through enhanced capabilities without corresponding headcount.

The Warning Signs

Gawdat's optimism comes with important caveats. He warns that AI is currently learning from our online behavior - including our worst tendencies.

The technology mirrors what we show it. If we demonstrate divisiveness, manipulation, and exploitation online, we're teaching AI to replicate these patterns.

For businesses, this translates to a simple principle: the values embedded in your AI systems reflect your organizational culture.

If your marketing automation targets customer vulnerabilities rather than solving genuine problems, you're teaching your systems to prioritize exploitation over value creation.

If your internal AI tools optimize for control rather than empowerment, you're building systems that will ultimately undermine your culture.

The Responsibility Gap

By 2049, AI is predicted to be a billion times more intelligent than humans. This isn't science fiction but an inevitable reality businesses must prepare for.

The gap between our current approach to AI governance and what's required creates both risk and opportunity.

Organizations that develop thoughtful AI implementation frameworks now will establish competitive advantages that compound over time. Those that treat AI as merely another technology trend will find themselves increasingly disadvantaged.

This responsibility extends beyond individual businesses. As Gawdat notes, "We, the crowds, we can build our future. Every one of us, by what we post online, shapes the world ever so slightly."

The collective choices of business leaders will substantially influence AI's development trajectory.

The Implementation Framework

How can business leaders apply these insights practically? We recommend a four-part framework:

1. Value Alignment

Ensure your AI systems reflect your core organizational values. At Ascendea, we've built our platform around six principles: simplicity, empowerment, innovation, integrity, partnership, and impact.

These values guide every feature we develop and how we measure success.

2. Human-Centered Design

Design AI systems that enhance human capabilities rather than simply replacing them. The most effective implementations augment human judgment and creativity while automating routine tasks.

3. Ethical Boundaries

Establish clear ethical guidelines for AI use in your organization. These should address data privacy, algorithmic bias, transparency, and accountability.

4. Continuous Learning

Approach AI implementation as an ongoing learning process. Regular evaluation and adjustment ensure your systems evolve in alignment with your values and objectives.

The Business Case for Ethical AI

Beyond philosophical considerations, there's a compelling business case for this approach. Companies implementing AI with these principles are seeing superior results across key metrics:

Customer retention improves when AI enhances rather than replaces human connection.

Employee engagement increases when AI tools empower rather than monitor.

Innovation accelerates when AI handles routine work, freeing human creativity.

Risk exposure decreases when ethical considerations guide AI development.

For small and medium businesses, these benefits are particularly significant. Without the resource buffers of larger enterprises, SMEs need every competitive advantage they can secure.

The Path Forward

Gawdat's insights offer a valuable framework for business leaders navigating AI implementation. By approaching AI as we would raise children - with intention, values, and long-term perspective - we can harness its potential while mitigating risks.

At Ascendea, we've built our AI-powered marketing and CRM platform on these principles. We believe small and medium businesses deserve access to the same powerful AI capabilities as enterprises, implemented with the same ethical rigor.

The choices business leaders make today will shape not just their organizations but the broader development of artificial intelligence. By embracing responsibility alongside opportunity, we can guide AI's teenage years toward a mature future that enhances human potential rather than diminishing it.

The machines are watching. What are we teaching them?