We are in the midst of the most significant technological shift since the advent of the mobile internet. While most companies are still grappling with how to leverage artificial intelligence, its next frontier is already emerging: AI agents. This is where a new wave of entrepreneurs is placing its bets, convinced that autonomous systems will fundamentally redefine how businesses operate and how we interact with technology itself.
Among them is serial entrepreneur Parminder Singh. His new venture, Redscope.ai, is engineered to solve one of the most persistent and costly problems in online business: the 98% of potential customers who visit a website and leave without a trace. The urgency to adapt to this new paradigm is palpable, with industry leaders issuing stark warnings. Investor Vinod Khosla predicts that “the 2030s will see a faster rate of demise of Fortune 500 companies than we’ve ever seen.” It is within this disruptive landscape that founders like Singh are making their next move.
A Generational Productivity Boom
On a macroeconomic scale, the widespread adoption of AI is expected to produce the fastest productivity and economic growth in a generation. One analysis from the Penn Wharton Budget Model estimates that AI will raise GDP and Total Factor Productivity (TFP) by about 1.5% by 2035, nearly 3% by 2055.
This boom is being driven by a revolution in productivity at the company level, which is rewriting the playbook for building a business. In the AI-native era, where top startups generate an incredible $2-$3 million per employee, it’s increasingly possible for lean teams to achieve outsized outcomes. This new benchmark for efficiency is the very reason he can take a deliberately different path from the VC-backed crowd: bootstrapping. ‘With this level of capital efficiency, taking on venture funding early felt like a premature optimization,’ Singh explains. An analysis of the top 10 AI-native startups reveals an average Revenue Per Employee (RPE) of a staggering $3.48 million, more than double that of a tech giant like Microsoft.
The New Platform War: From Operator to Commander
A powerful analogy for this shift is the evolution of the smartphone. Today’s AI-enhanced phones are reactive tools; we initiate every action on an app-by-app basis. The future belongs to a proactive “AI Agent Phone” where the user acts as a “commander” who sets goals for autonomous agents to execute. This fundamentally changes our relationship with technology from one of direct manipulation to one of strategic oversight.
This shift will trigger the next great platform war. According to Singh, the most valuable strategic position will no longer be the dominant search engine or mobile OS, but the user’s trusted, default “agent of agents.” This ignites a fierce competition between major players like Google with Gemini, Apple with its evolution of Siri, Microsoft with Copilot, and OpenAI, to become the central orchestrator of a user’s digital life.
A Glimpse into 2035: The Agent-Powered Life
In the near future, the proliferation of personal AI agents will weave this technology into the fabric of daily life, automating cognitive labor.
- At Work: A knowledge worker’s day will be orchestrated by their agent. It will manage their schedule, automatically prepare them for meetings by summarizing relevant documents, draft routine emails, and monitor project progress, freeing the human to focus on deep, creative, and strategic work.
- At Home: Agents will manage household logistics. They will control smart home devices, order from shopping lists, plan family vacations, and coordinate schedules, simplifying the complexities of modern domestic life.
- Democratization of Services: One of the most significant long-term benefits will be the democratization of expert services. Today, personalized tutoring, expert medical advice, and sophisticated financial planning are expensive. By encapsulating the knowledge of skilled professionals, AI agents can make these high-value services available at a fraction of the cost to a global population.
The Future of Sales Is an AI Agent
While that consumer-focused future is on the horizon, the agent-led transformation is already delivering immense value in the business world today. This is the precise area Redscope.ai is targeting. “Most websites struggle to capture the interest of potential customers,” he explains. His solution, Redscope.ai, is designed to deploy specialized AI agents that engage website visitors in real-time and convert them into consented leads.
This isn’t a niche bet; as Singh sees it, it’s an alignment with a massive market shift. Gartner predicts that by 2028, 33% of all enterprise software applications will include agentic AI capabilities, a dramatic increase from less than 1% in 2024. Agents are already delivering transformative results across industries:
- Retail: Virtual shopping assistant led to a 40% reduction in cart abandonment and a 3x increase in conversion rates.
- Customer Service: Camping World reduced customer wait times from hours to just 33 seconds using a virtual agent.
- Financial Services: JPMorgan’s “Coach AI” tool enables wealth advisors to retrieve research 95% faster, contributing to a 20% year-over-year increase in asset-management sales.
The Winning Strategy: Specialization and Integration
The most successful agentic systems are not general-purpose “know-it-alls.” The case studies consistently show that verticalization is the key to enterprise adoption. An agent trained on the specific data and workflows of mortgage processing, for example, will vastly outperform a generalist model.
This reality is also reshaping investment strategy. In Singh’s view, the most durable competitive advantage, or “moat,” for an AI startup is no longer the underlying technology. Instead, he argues, the real moat is built through deep workflow integration. The companies poised to win are not those with the “smartest” agent in a vacuum, but those whose agents become deeply and inextricably embedded in their customers’ core operations.
Each of Singh’s previous ventures was built on the lessons of the last, creating the foundation for his current bet. His first company, Hansel.io, focused on solving user experience and conversion challenges in the mobile app world. Now, with Redscope.ai, he is targeting a similar problem on the web, but armed with the new, powerful toolkit of AI agents. As artificial intelligence continues to reshape business, the bet is that a focused, bootstrapped approach like the one behind Redscope.ai is more than just another startup. It’s a test of whether an experienced entrepreneur, armed with a lean strategy and a clear vision, can build the future of customer acquisition by becoming an indispensable part of it.
