I don't make predictions. I look at trajectories: where things are moving and how fast: and think about what that means for the businesses I work with. Here's the honest trajectory read for AI in 2026 and what it suggests you should do right now.
The Trajectory: Agents Become the Interface
The shift from AI-as-tool to AI-as-autonomous-operator is the central story of 2026. We're past the point where AI is something you query. We're moving toward AI as something you employ: defining goals, providing context, and letting it operate.
The practical manifestation: businesses will increasingly interact with AI through goal statements rather than prompts. "Book me 10 qualified consultations this month" rather than "draft a follow-up email for this lead." The agent figures out the steps. The human defines the outcome.
For businesses, this means the interface to your customers, your operations, and your data will increasingly run through AI agents rather than software dashboards or manual processes. Building the infrastructure: clean data, integrated systems, defined escalation protocols: now positions you to plug into the next generation of agent capability as it arrives.
The Trajectory: Personalization at Scale Becomes Table Stakes
Generic communication is becoming a competitive liability. Every business that's using AI well is already delivering personalized responses to every customer inquiry: tailored to their history, their situation, their expressed preferences. Businesses still sending templated emails are visibly behind.
In 2026, the personalization bar rises again. AI systems with customer history, behavioral signals, and preference inference will make generic communication feel like a 2019-era problem. Businesses without the data infrastructure and AI integration to support personalization will struggle to compete for customer attention and retention.
The Trajectory: AI-Augmented Human Roles Solidify
The question of "AI replacing humans" resolves into something more specific: roles where humans are augmented by AI become dramatically more productive; roles that are primarily information-moving and routine handling get automated. The premium on humans who can work effectively alongside AI: who know what to delegate, how to review AI output, and when to override: increases.
For hiring and team development, this means prioritizing AI fluency alongside domain expertise. The employee who can use AI tools effectively is worth significantly more than one who can't, holding domain expertise constant.
What to Do Right Now
Build data infrastructure before you need it. The agent-based future requires clean, integrated, accessible data. If your information is scattered across disconnected systems with inconsistent quality, fix that now: it's the foundation everything else depends on.
Get current implementations to full production and measurement. The businesses best positioned for 2026 capabilities are the ones who've implemented and measured 2024 and 2025 capabilities. You learn from running systems, not from planning.
Invest in your team's AI fluency. The tools will keep improving. The teams that know how to use them will compound that advantage. Training, experimentation, and a culture that embraces AI as an operational tool rather than a threat is the highest-use investment most businesses can make right now.
The AI trajectory in 2026 isn't uncertain. The direction is clear. The variable is how fast your business moves to get ahead of it versus how long you spend watching from a distance.
In Las Vegas, where the competitive environment rewards speed and punishes hesitation, the time to position is always now.