In Brief
Replit CEO Amjad Masad predicts every Fortune 500 company will become self-driving by the end of 2030, with AI agents coordinating much of its daily work.
Paul Roetzer sees a credible direction for business, but a much slower transition for large organizations still learning to use AI assistants.
What Happened
Replit, which makes AI tools for building software, laid out its vision for the self-driving company: a business where AI agents coordinate work across departments. This software will move autonomously through multiple steps to complete tasks while people set goals, make judgment calls, and remain accountable for results.
Replit’s July account of its internal agents makes that concrete. A sales agent gathers a customer’s project and account-usage information and prepares a presentation; marketing agents turn internal discussions into launch specifications; support agents investigate problems, draft responses, or send findings to engineering. For one engineering group, Replit reported nearly triple the code output without longer code-review times, a higher rate of code changes being undone, or more software incidents.
Masad calls the supporting environment an agent habitat. This enables agents to work with people, knowledge, tools, and systems under set rules. Agents operate under the limits needed to govern their access and actions. Replit says it is bringing lessons from its own operations to other organizations through Replit for Business.
The distance between those examples and an entire Fortune 500 company operating this way is substantial.
SmarterX founder and CEO Paul Roetzer examined that gap on Episode 249 of The Artificial Intelligence Show.
The Key Numbers
2030 - The year Masad predicts self-driving operations will exist across the Fortune 500
Nearly 3x - Replit’s reported increase in code output for a group of engineers in the first half of 2026
Less than 1% - Roetzer’s estimate of Fortune 500 companies scaling AI agents across their organizations
1–2 - Years Roetzer estimates it will take to address governance and risks before broader scaling
Agents Don't Guarantee Faster Adoption
The organizational work takes time. Roetzer respects Masad’s vision and Replit’s experience implementing it. His objection is about the timetable: “I have a different perspective on how fast Fortune 500 companies can move,'' he says. Many companies he works with are still assigning assistant licenses without personalized training or clear use cases.
Progress remains concentrated in small teams. “What is happening is there are silos of teams that are racing ahead, that are building agents, that are doing really fascinating things,” Roetzer says. Those groups combine technical people with business leaders who understand the workflows. Extending that capability across tens of thousands of employees requires governance, education, and changes in how decisions get made.
Business leaders need to participate. Roetzer argues that training engineers alone will not prepare the managers responsible for directing agents. “I actually am a believer you should be empowering the business unit leaders and the director and above to build with no code,” he says. Tools that let people build through ordinary language can bring that work closer to the people who understand the problems.
“I do think a lot of startups will function this way. AI- native companies will be built this way.”
— Paul Roetzer, founder and CEO of SmarterX, Episode 249 of The Artificial Intelligence Show
SmarterX Take
Replit’s examples give leaders somewhere practical to begin: work that connects information, decisions, and actions across teams. A customer-support investigation, for instance, involves finding the right context, preparing a response, and knowing when to involve engineering. Preparing people to direct that process belongs alongside building the agent itself.
Organizations also need to retain control of their knowledge as models change. Roetzer emphasized the risk of putting all of the company intelligence into one provider. The ability to switch models while preserving company context and decision-making rules is important when the strongest available technology can change within months.
What to Watch
How a self-driving approach works in individual departments first. Roetzer expects meaningful progress within teams and business units before it reaches entire enterprises. Evidence that agents can coordinate reliably across those boundaries, with trained managers and clear approval rules, can demonstrate readiness. Meanwhile, startups built around these practices could put pressure on established companies to move more quicky in the self-driving direction.
Does Your Company Have the Foundations to Scale Agents?
Just 13% of respondents report that their organization has all four governance foundations in place: an AI roadmap, an AI council, generative AI policies, and an AI ethics policy, according to the 2026 State of AI for Business Report. That gap needs to be closed before agents begin acting across company systems and leaders need to decide who remains responsible.
Based on more than 2,100 responses from professionals across roles, functions, and industries, the report benchmarks adoption, training, and organizational readiness. Use it to identify the preparation your company needs before expanding agent access and responsibility. Read the full report →
Mike Kaput
Mike Kaput is the Chief Content Officer at SmarterX and a leading voice on the application of AI in business. He is the co-author of Marketing Artificial Intelligence and co-host of The Artificial Intelligence Show podcast.