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Four Business Shifts Creating Opportunities as AI Adoption Expands

Competing with established products in saturated markets can be difficult. Incumbents benefit from customer trust, brand recognition, and a track record of reliable support. Entrepreneurs may find more room by building around changing customer behavior rather than launching another version of existing software.

1. Build Services and Products for AI Agents

AI is moving beyond chat interfaces toward agents that can use cloud-based computers, perform tasks, and connect with other tools. The presenter expects people to increasingly delegate routine work, including administrative tasks, to personal agents.

Business opportunities and recommendations:

• Make existing services usable through customers’ agents, rather than requiring people to navigate a website or app manually. Keep human review for consequential actions.
• Help traditional businesses redesign their services to work with agents and agent-connection protocols such as MCP.
• Support both conventional user interactions and agent-driven workflows when building software.
• Consider agent-compatible versions of services such as accounting, insurance, and marketing.

Examples cited:

• A user reportedly adapted a traditional management and accounting service for agent integration, charging about €49 per month. An agent could handle paperwork, with a person performing final checks.
• The presenter says his business uses an agent connection to manage tasks in its platform, including preparing and scheduling Black Friday email campaigns.

2. Use Cheaper Software Development to Create Tailored Tools

As software becomes less expensive to build, the technical barrier to entry may fall. The presenter sees an opportunity to create customized tools for businesses, rather than treating cheaper software only as a threat to existing SaaS companies.

Potential approaches:

• Audit a company’s workflows and build tailored software that reduces costs or better fits its needs.
• Create free, useful software as a lead magnet, instead of relying only on downloadable PDFs or guides. The tool should attract the intended customer and demonstrate a relevant result.
• Add simple apps or other software tools to an offer as bonuses that help customers achieve the promised outcome.
• Apply domain knowledge to define what to build; this opportunity is not limited to professional programmers.

Example cited: The presenter describes Clonify Studio as a free tool for creators. It is intended to attract potential customers who may later buy Clonify or related services to grow their digital businesses.

3. Make Human Trust a Differentiator

As AI-generated content and automated interactions proliferate, the presenter expects genuine human involvement to become more valuable—especially where customers need trust or reassurance.

Recommendations:

• Use automation where it improves efficiency, but retain human contact in high-trust sales and service interactions.
• Strengthen sales and customer-facing teams rather than assuming AI can replace every interaction.
• Build communities and organize in-person gatherings for businesses whose customers value relationships and shared experiences.

AI sales setters can help schedule calls, but prospects may ask whether they are speaking with an AI and may prefer a person when trust is important. The presenter also points to opportunities for people skilled at networking and bringing communities together, potentially through events every two or three months.

4. Look Beyond Internet Businesses as AI Spreads Across Industries

The presenter argues that AI’s impact will extend beyond online content and software into sectors such as medicine, biotechnology, manufacturing, agriculture, transportation, energy, logistics, materials science, retail, and robotics.

Starting a company is not the only way to benefit from an emerging industry. People with relevant skills and ambition could seek early roles at companies applying AI in these sectors, gaining experience and growing alongside the business.

Frameworks and Playbooks

• Behavior-change opportunity scan: Look for shifts in how customers want to interact with businesses, then build around the new behavior rather than entering a saturated category with a lookalike product.
• Agent-ready service redesign: Identify customer tasks currently completed through forms, clicks, or conversations; enable agents to handle them; and preserve human review where needed.
• Software-led lead generation: Replace or supplement a PDF lead magnet with a free tool that attracts and qualifies the ideal customer.
• Software-enhanced offers: Add a purpose-built app or tool as a bonus that helps customers achieve the core offer’s outcome.
• Human-plus-AI service model: Automate routine work while concentrating human effort on trust, sales, community, and complex decisions.
• Industry opportunity scan: Evaluate AI applications across physical and regulated industries, not only software and media. Consider joining promising companies as well as founding one.

Metrics and Timelines Mentioned

• About €49 per month: Approximate price cited for the agent-integrated management service.
• Every two or three months: Suggested cadence for some community or in-person gatherings.
• 2027: The video frames its discussion around starting an AI business in 2027.
• “The next few years”: The presenter expects growth in software-based lead-generation tools.
• No specific revenue, growth, CAC, LTV, or other performance targets are given.

Presenter and Sources

• Presenter: Euge Oller.
• Examples and sources discussed: The presenter’s businesses and tools, including Clonify, Clonify Studio, and Emprende Aprendiendo; and a user named Albert, described as having adapted a traditional management service for agent use.