SMB Community Podcast
SMB Community Podcast

When Employees Want More Money: Strategies for MSP Owners

25 June 2026 25:39 Dave Sobel

Listen to episode

About this episode

The episode’s principal focus is on managing employee compensation requests within MSP operations, specifically addressing scenarios in which employees request significant raises. The discussion highlights the need for MSP leaders to weigh current market rates and organizational financial constraints in response to such requests. Both collaborative problem-solving—engaging employees in discussions regarding revenue generation—and performance-based compensation structures were identified as practical strategies for balancing employee retention with business viability.

Supporting this, the speakers emphasized transparent conversations with employees about the company’s billing structure, the sources of revenue, and the tradeoffs required to increase compensation. Performance-based incentives, such as commissions or bonuses tied to measurable business milestones (e.g., revenue targets, net new business), were noted as effective mechanisms for aligning individual rewards with organizational profitability. The discussion also noted risks when negotiation dynamics become adversarial, underscoring the importance of maintaining professionalism in both management and staff behaviors.

Adjacent topics included the increasing relevance of AI proficiency for workforce retention and the emerging terminology in the sector, such as “Managed Intelligence Provider” (MIP). It was observed that employees lacking AI skills face elevated layoff risks, a factor attributed to shifting operational priorities and the need for continuous learning. While new acronyms like MIP may gain industry attention, participants agreed that most services related to intelligence and data management could be incorporated within the MSP framework, suggesting minimal structural change for service providers.

For MSPs and IT leaders, the session underscores the necessity of clear compensation policies, ongoing staff development—especially in AI—and cautious positioning during merger or acquisition discussions. Risk mitigation includes frank financial communication with staff, investments in workforce upskilling, and careful negotiation to avoid undervaluation during business transitions. Performance incentives and clear cultural alignment are practical steps to balance employee satisfaction with organizational sustainability.

1. MSP Question of the week: My employee wants more money- what should I do?

2. A single decision that triples some workers layoff risk – Tech workers who regularly use artificial intelligence tools are far less likely to be laid off compared to colleagues who use AI less frequently, Bloomberg reports, citing new Gallup research. It puts infrequent users' layoff risk at 18%, tripling the 6% layoff risk for frequent users. Earlier this year, researchers tracked how often 23,000 employed and displaced workers used AI

3. The RISE of the Managed Intelligence Provider

4. M&A: How do I find the right buyer? Amy’s Book: https://amzn.to/4dSYOcR

5. Tales from the Field: Merger conversation – make sure it’s a culture fit and be fair with the price (no lowballing)

 

Mastermind Event – July 30-31st, 2026

Register here: https://portal.kernanconsulting.com/mastermind-event


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 SMB Community Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.