Your AI Portfolio Is Too Heavy

Most enterprise AI portfolios run 5-10 initiatives. Most need 2-3. The gap between companies that feel AI momentum and those drowning in AI theater comes down to one discipline: knowing what to kill before budget season forces the decision.

Companies love to say they’re “investing heavily in AI,” but the results tell a different story. Many leaders end up with a scattered portfolio of experiments rather than a focused set of systems that actually move the business. The issue isn’t talent or technology. It’s portfolio bloat. Organizations that break past pilots didn’t add more AI. They removed what wasn’t working.