Invisible AI agents: the future without software interfaces

The statement that shook the tech industry

On July 4, 2026, Greg Brockman made statements destined to remain in the artificial intelligence debate. The co-founder of OpenAI imagined a future with «almost no interface» : almost no interface. In this scenario, users will no longer have to learn software. Context-aware AI agents will operate invisibly, interpreting intentions and acting accordingly.

The original source of the intervention was analyzed in detail by The Decoder , who accurately reported Brockman's words. Therefore, it's worth starting with what he actually said, before drawing strategic implications.

The numbers that matter: from the enthusiasm of 2023 to the reality of 2026

Brockman made an unusual move for an executive of his stature: he publicly admitted a failure. ChatGPT plugins, launched in 2023 with aggressive marketing campaigns, didn't work. The stated reason is straightforward: “the models weren’t ready yet” .

This data is relevant. It indicates that OpenAI has a critical awareness of its limitations. However, it also indicates that the vision of invisible agents is not yet achievable with current tools. In fact, even OpenAI Codex — one of the company's most advanced products — is, according to The Decoder's own analysis, light-years away from the stated vision.

To get a broader picture, it is useful to consider contextual data. According to Gartner , by 2027 over 40% of business interactions with software systems will be mediated by AI agents. Similarly, McKinsey estimates that intelligent automation of cognitive processes could generate between $2.6 and $4.4 trillion annually worldwide. So, the direction is clear. The speed of arrival, not so much.

Vision Architecture: What does a context-aware agent really mean

A context-aware AI agent is not just an advanced chatbot. It's a system capable of reading the user's operational context in real-time. It understands the history of actions, implicit preferences, stated and unstated goals. Consequently, it acts without waiting for explicit instructions.

In Brockman's vision, this agent replaces the traditional interface. There's no longer a menu to navigate, a form to fill out, or a dashboard to interpret. The agent already knows what's needed. Therefore, the user doesn't have to learn any software: they just need to communicate intentions, in natural language or even implicitly.

This model has partial precedents. Next-generation voice assistants, copilot integrated into suites like Microsoft 365, or automated workflows on platforms like Zapier or Make are moving in this direction. However, none of these tools have yet reached the threshold of true invisibility. There always remains a level of configuration, supervision, or manual correction.

Strategic reading for Italian companies

For a marketing manager or a digital lead in an Italian SME, this vision raises concrete questions. The first: how much does a company's competitiveness today depend on the team's ability to use specific tools? The second: if these skills became obsolete, what would remain as a competitive advantage?

We at SHM Studio We are seeing an interesting tension in the Italian market. On one hand, many companies are investing in training on tools like HubSpot, Google Analytics 4, and Meta Ads Manager. On the other hand, these very same tools are integrating AI layers that progressively automate the more technical operations. In short, the risk is training people on skills that could become partially outdated within 18-24 months.

This doesn't mean blocking investment in training. On the contrary, it means reorienting it. The skills to preserve are the strategic ones: the ability to define objectives, interpret results, make decisions under uncertainty. Instead, the more mechanical operational skills are those that AI erodes most rapidly.

The construction site still open: what is missing from Brockman's vision

The vision of invisible agents has a structural problem that is rarely discussed openly: the issue of trust and control. An agent that acts without a visible interface is also an agent that is difficult to supervise. For a company, this generates non-negligible operational and legal risks.

Furthermore, the European regulatory context — particularly the AI Act, which progressively came into force during 2025 and 2026 — imposes transparency and explainability requirements for high-impact AI systems. A truly invisible agent could clash with these requirements. Therefore, the path towards "almost no interface" will necessarily have to contend with the European regulatory framework.

Then there is the issue of integration with legacy systems. Most Italian SMEs operate on heterogeneous infrastructures: outdated ERPs, custom CRMs, shared Excel spreadsheets. A context-aware agent needs structured, accessible, and consistent data to function. Without a solid data foundation, Brockman's vision remains unfeasible regardless of the quality of the underlying AI model.

Operational implications: what is worth doing today

Starting from the previous analysis, some operational priorities emerge for companies that want to position themselves correctly regarding this transition.

• Structure data before models. Investing in data governance, system integration, and data quality is the prerequisite for any effective AI agent. A digital marketing plan modern cannot do without this foundation.
• Evaluate dependencies on specific tools. Mapping which business processes depend on operational skills in specific software helps identify areas of greatest exposure to automation.
• Experiment with partial agents. Tools like copilot integrated into advertising platforms — for example in the google ads campaigns or in LinkedIn campaigns — already offer a taste of context-aware automation today. Using them actively allows you to build familiarity with the paradigm.
• Invest in content and organic positioning. In a world where interfaces disappear, visibility will increasingly depend on the quality of indexed content. The SEO services and the strategic copywriting become even more critical assets.
• Monitor the evolution of AI models. The AI solutions available on the market are evolving rapidly. Maintaining up-to-date information is part of the competitive strategy.

In parallel, it is useful to consider the architecture of the website and digital touchpoints. A website designed with a clear semantic structure and structured data will be more easily interpretable by next-generation AI agents. This applies to both user navigation and indexing by search engines and, prospectively, by conversational agents.

18-24 month outlook: what to expect concretely

2027 and 2028 will likely be years of consolidation, not revolution. AI agents will become more capable and more integrated into business workflows. However, the interface will not disappear entirely. It will stratify: there will be a layer of human control above a layer of increasing automation.

For Italian companies, the main risk isn't being overwhelmed by technology. It's standing still while the market moves. Therefore, the priority isn't adopting every new thing, but building a digital infrastructure flexible enough to integrate new tools when they are mature.

Those who wish to delve deeper into these topics with a consulting approach can explore the SHM Studio blog or contact the team for an assessment of their digital positioning. Finally, for those new to AI applied to marketing, the section AI services offers a structured starting point.

Brockman's vision is ambitious and, in some ways, visionary. It's also honest: he admits past failures and acknowledges the gap between statements and operational reality. For companies, this honesty is a useful signal. It means there's time to prepare. But not unlimited time.