The Biggest AI Companies in the World Still Can't Answer One Question

I spent a week at one of the largest AI conferences in the world where the companies selling AI at the highest levels were asked, publicly, how they use their own technology. When pressed on their own adoption, the answers topped out at task-level efficiency: meeting briefs, recruiter time savings, and draft emails.

W. Chan Kim and Renée Mauborgne, the INSEAD strategists behind Blue Ocean Strategy, would recognize the pattern immediately: a red ocean. Crowded, commoditized, and increasingly undifferentiated.

Almost nobody is talking about this.

The red ocean of AI point solutions is where most of the market is swimming right now. Everyone has access to the same models. They can optimize the same workflows, and measure success by how many minutes they’ve shaved off a meeting prep or a sourcing cycle. The gains are real. They're also finite because there's only so much value you can extract from making existing processes slightly faster.

At Asymbl, we've bridged the progression out of the red ocean of AI point solutions into the blue ocean of orchestration, not by speeding up how work already gets done, but by redesigning how it works entirely. It’s how we help our customers coordinate a workforce of human workers and digital workers to operate as one team, with structure, governance, and a proven methodology that compounds over time.

The Market's Ceiling Is Showing

Matt Garman, CEO of AWS, was asked how he personally uses AI. His answer: meeting briefs. Google Cloud's Francis deSouza advised enterprises to focus on five to seven top use cases to drive ROI. LinkedIn's AI Hiring Assistant cut recruiter sourcing time from 40 hours to four. 

Workflow efficiency is a ceiling.

Each company’s response delivered the same constraint: do what you're already doing, quicker. Every example shared was a speed play on a process that existed before AI entered the picture. It’s workflow efficiency, and it matters. But it's also a ceiling when the work itself was never structured for a hybrid workforce. And once you hit it, the returns flatten no matter how much you invest.

There's a question underneath all of this that I didn’t hear in discussions: What if the work itself should be redesigned? What if the org chart, the team structure, the ratio of human workers to digital workers needs to fundamentally change? 

AI Tools vs. the Operating System

The show floor was a mirror of the keynotes. There were hundreds of booths, but the conversations between those booths didn't exist. From SDR outreach to voice interaction to content generation, each booth offered a faster way to do a single job while operating in isolation.  

Buyers shopped in the same way. Buyers leading with, “What are the use cases?” at each vendor booth revealed that their buying decisions were driven by AI tool capability, instead of business outcomes.

Today’s market is full of point solutions that solve pointed problems. What none of these solutions account for is the opportunity in how work connects. When digital workers and human workers operate inside the same system, the value isn't in any single task getting faster. It's in the workforce moving together. 

Here's the difference: a tool improves a task. An operating system redesigns how work flows across an entire organization. It changes who does what, how performance is measured, and how the workforce scales. And it becomes a coordinated system where human workers and digital workers share accountability, with onboarding methodology, performance measurement, and governance that scales alongside the workforce.

Workforce Orchestration In Practice

At Asymbl, we're rapidly approaching 200 digital workers across 13 business functions. These aren’t pilots or experiments. They’re digital teammates operating alongside humans every day. Our hybrid workforce didn't come into form by buying a tool and hoping for the best; it came from our team's expertise and execution of our three-step playbook we now share with our customers: Design, Onboard, Coach.

Every digital worker gets a job description, a manager, and success criteria. They get onboarded the same way you'd onboard a human hire: with structure, with scenario testing, and with a 90-day ramp plan that includes synthetic testing and real-world scenario coverage before go-live. Then they get coached: we measure performance, iterate on their capabilities, and improve them continuously.

The results have compounded. 

And our digital teammates can speak for themselves. Theodore, a digital sales development worker, produced a 37x ROI and a 427% increase in prospect engagement. Rosa, a digital recruiting worker, helped a two-person team hire 100 people in 100 days while processing 17,000 applications. These aren't projections from a pitch deck. They're operational results from our own business.

This is the blue ocean of orchestration in practice: a workforce where digital workers are teammates first, supported by the governance, coaching, and methodology that makes orchestration real.

Why This Gap Is the Opportunity

The questions I didn't hear discussed on stage aren't being asked by buyers yet either. That silence is a window, and it echoes a pattern we've seen before. Every technology cycle moves through the same phases: tools arrive, early adopters experiment, and then someone builds the operating model that makes it all work. The market then consolidates around that model. For the last few years, Asymbl has been operating inside this gap, between tool arrival and operating model formation, building the proof that the market will need when it catches up.

You may already be seeing the signs: strong early returns from AI that have started to plateau. That's a natural limit of point solutions and not a failure of your strategy. Leaders feeling that ceiling don't necessarily need another tool. They need an operating model. 

Our Digital Labor Advisory is the methodology that moves organizations through that limit and into production capability, with governance and measurement built in from day one. Talk to our team where to start.