What would your business look like if every employee had access to an always-on AI agent that answered questions, streamlined tasks, and evolved alongside your organization?
In the early 2000s, during a job interview, I was asked what my best skill was. My answer—”Google”—made everyone in the room laugh. For those of us who remember the early days of the internet, it’s clear why. Contextual search wasn’t strong back then and finding information quickly and correctly required articulating your intent with precision.
What an exciting time we live in now! The technology we once dreamed of isn’t just possible anymore—it’s a reality shaping our daily lives. Large Language Models (LLMs) have become so integral to my daily life that I can’t imagine working without them. Just this week, GPT assisted me with everything from brainstorming a business name and designing a logo to drafting legal documents and developing strategic plans. As I was speaking with multiple industry professionals, many times during the conversations, I thought, “I cannot wait to provide this context to GPT and get its feedback on these statements,” because I knew they would come without bias.
Yet, despite these advancements, I often speak with people who haven’t embraced even consumer-grade models, let alone recognized the transformative opportunities this new digital labor market offers.
A close friend recently reminded me of a 90s TV show, Merlin. The progression of the wizard-in-training from motion (typing on keyboards) to voice (speaking to AI) and finally to thought (Neuralink-like potential) mirrors the evolution of AI itself. This analogy encapsulates the technological leap we’re experiencing, powered by Agentic AI.
The Future of the Jobs Market in an AI-Driven World
The rapid adoption of AI is reshaping industries and redefining workforce dynamics. Here are key trends and projections that MSPs should consider:
- AI’s Impact on Jobs by 2030:
- AI and information processing technologies are expected to create 11 million new jobs while displacing 9 million, resulting in a net gain of 2 million jobs (WEF, Future of Jobs Report 2025). Big data specialists and AI/ML experts top the list of fastest-growing roles.
- Broader Job Market Trends by 2027:
- Across all industries, the global labor market could see a net loss of 14 million jobs as automation, demographic shifts, and other macrotrends drive job churn (WEF, Future of Jobs Report 2023).
- Upskilling and Workforce Shifts:
- 75% of organizations plan to upskill employees to collaborate with AI technologies.
- 50% of companies anticipate reorienting operations around AI opportunities, while 40% expect workforce reductions driven by automation (WEF, Future of Jobs Report 2025).
- Sector-Specific Disruption:
- Tech Sector: Mark Zuckerberg predicts midlevel engineering roles will soon be automated, with AI assuming all coding tasks eventually (Joe Rogan Experience, Episode #1863).
- Finance Sector: Bloomberg Intelligence forecasts up to 200,000 Wall Street jobs may be lost within 3–5 years due to AI, contributing to an estimated 17% increase in banking profits (Bloomberg Intelligence, January 2025).
What This Means for MSPs:
These trends present both challenges and opportunities. MSPs can:
- Lead Upskilling Initiatives: Help clients prepare employees for AI-enhanced roles.
- Deliver AI Solutions: Integrate AI tools into business operations to drive efficiency and scalability.
- Adapt to Workforce Changes: Position themselves as partners to navigate automation’s impact while creating new value for businesses.
As AI transforms the workforce, MSPs have a unique opportunity to harness these trends to both enhance their internal operations and deliver cutting-edge solutions to clients.
Using AI Agents to Build Smarter MSP Operations
Internally, Managed Service Providers (MSPs) face relentless pressure to improve outcomes while controlling costs. AI agents offer a lifeline by automating repetitive tasks, reducing response times, and enabling staff to focus on strategic initiatives. Here are some impactful examples:
- Data Hygiene/Dispatch Agents
One of the biggest challenges for MSPs is ensuring consistent data entry to enable accurate reporting. AI Dispatch Agents can align and organize data as it arrives from clients and after technicians complete their work, ensuring consistent, accessible analytics and billing. - Support Agents
Routine tasks, such as password resets and basic troubleshooting, can be automated by AI agents. This reduces technician workloads, accelerates resolution times, and enhances end-user satisfaction. - Backoffice Agents
AI agents can analyze vast operational datasets, uncover inefficiencies, and recommend actionable improvements. They also handle routine tasks like booking, payroll, and generating detailed client reports, freeing up the vCIO team to focus on strategic goals. - Customer Self-Service Agents
With demographic shifts and a more tech-savvy customer base, there is a growing demand for self-service options. AI agents can deliver efficient, self-service solutions that eliminate the need for time-consuming phone or email exchanges. By providing quick, automated resolutions, MSPs can meet customer preferences while improving quality and efficiency—two sides of the same coin.
Embedding AI agents into daily workflows allows MSPs to operate leaner, faster, and more predictably—all while maintaining top-tier service for clients.
Tapping into the Opportunity to Sell AI Agents as the New Digital Workforce
The external opportunities for MSPs are equally compelling. Businesses are increasingly seeking ways to streamline operations and boost productivity, and they’re looking to technology partners for help. Here’s how MSPs can tap into this demand:
- Off-the-Shelf AI Solutions
Many businesses lack the time or expertise to explore AI solutions. MSPs can bridge this gap by offering ready-made agents from platforms like HubSpot, Salesforce, and Intuit. These off-the-shelf solutions provide immediate value to clients, allowing businesses to focus on core operations while relying on secure, managed environments that protect their data. MSPs can enhance their value by ensuring these agents integrate seamlessly and adhere to the highest data privacy and security standards. - Custom Integrations in Secure Environments
For businesses with unique needs, MSPs can tailor AI implementations to fit specific requirements, such as integrating AI agents with client databases or line-of-business applications. Deploying these solutions in secure environments ensures that proprietary company data remains private and protected while enabling employees to access up-to-date and relevant knowledge quickly. These AI agents act as personal assistants for employees, reducing time spent searching for information and improving overall productivity. As the AI learns and adapts, it becomes more powerful and useful over time, creating a continuously evolving asset for the organization. - Agent-to-Agent Communications
As technology evolves, the interaction between AI agents themselves opens new possibilities. Instead of relying solely on human-mediated processes or APIs, AI agents can exchange information directly. For example, a HubSpot agent could pass relevant data directly to a QuickBooks agent, streamlining workflows without needing to understand underlying data structures. MSPs can play a critical role in configuring and managing these interactions to ensure efficiency and reliability in business operations. - Recurring Services
As AI agents become integral to business operations, MSPs can bundle services to support both human and digital workforces. By offering managed services for AI agents, MSPs can position themselves as trusted advisors, ensuring these digital employees continue to deliver value over time. Additionally, ongoing updates and optimization of AI agents in secure environments ensure that they remain effective and aligned with the business’s evolving needs.
By empowering businesses with these solutions, MSPs can strengthen client relationships, deliver measurable ROI, and unlock new revenue opportunities in the rapidly growing digital workforce market.
Why MSPs Need to Act Now
AI technology is advancing at an unprecedented pace. Businesses that fail to adopt it risk falling behind, but for MSPs, this represents a tremendous opportunity. Leveraging AI internally can streamline operations, enhance efficiency, and reduce costs. Offering AI solutions externally positions MSPs as indispensable partners in their clients’ digital transformation journeys.
The analogy from Merlin perfectly captures this moment. Just as the wizard-in-training transitioned from motion to voice to thought, we’re witnessing a shift from traditional labor to digital labor powered by AI agents. The potential is vast: MSPs can cut costs, improve performance, and open new revenue streams.
How could you lead the charge in helping your clients harness the power of AI agents to transform their business processes?
