The Future of Expert Calls in 2026: Faster, Cheaper, More Targeted

The landscape of primary research is undergoing a fundamental transformation. For decades, expert networks and broker-based models have dominated how businesses access specialized knowledge. But as we look toward 2026, the traditional approach of renting access to expertise is giving way to a more efficient, cost-effective model centered on network ownership and technological empowerment.

The End of the Brokered Expert Call Model

Traditional expert networks like GLG and AlphaSights built their businesses on a simple premise: they own the supply of experts and rent access back to you. This model served its purpose, but it came with significant drawbacks:

1. High costs: Brokerage fees often doubled or tripled the actual compensation to experts
2. Slow turnaround: Recruiting and scheduling through intermediaries added days or weeks to projects
3. Lost connections: The relationships you built remained with the broker, not your organization
4. Limited targeting: You were restricted to who was already in their network

By 2026, this model will be largely obsolete for all but the most specialized or compliance-sensitive industries.

The Three Pillars of Next-Generation Expert Calls

1. Direct Network Ownership

The most significant shift will be the transition from renting access to building owned networks. Technology platforms are already emerging that allow companies to:

• Pool their LinkedIn accounts into unified outreach engines
• Maintain direct connections with the experts they engage
• Build a proprietary expert database that grows with each project

According to a 2023 survey by Insight Partners, companies that own their expert networks report 42% higher satisfaction with research outcomes compared to those using traditional brokers.

2. AI-Accelerated Insights

By 2026, the integration of AI will fundamentally change what happens before, during, and after expert calls:

Before the call:

• Advanced matching algorithms will identify ideal experts with unprecedented precision
• Automated outreach will improve response rates through personalization at scale
• Screening will become more efficient through AI-powered qualification

During the call:

• Real-time transcription and analysis will flag key insights as they emerge
• AI assistants will suggest follow-up questions based on response patterns
• Visual data will be generated on the fly to illustrate complex concepts

After the call:

• Automated synthesis will extract patterns across multiple interviews
• Quote libraries will organize insights by theme, eliminating manual tagging
• Quantitative analysis of qualitative data will become standard

A Harvard Business Review analysis predicts that by 2026, the time from interview completion to actionable insight will shrink from days to hours.

3. Democratized Access

Perhaps most importantly, the cost structure of expert calls will fundamentally change:

• Lower price points: Without broker markups, costs will decrease by 40-60%
• Flexible engagement models: Pay-per-interview options will replace rigid retainer structures
• Scalable solutions: Teams of all sizes will access expertise, not just enterprise organizations

The New Workflow: How Expert Calls Will Work in 2026

The typical expert call process in 2026 will look dramatically different:

1. Target definition: Specify exact criteria including role, industry, company size, and qualitative attributes
2. Direct outreach: Automated campaigns through your owned LinkedIn network reach precise targets
3. Self-scheduling: Experts book directly through calendar integration with built-in qualification
4. Conversation: Video calls with AI assistants capturing and analyzing in real-time
5. Instant synthesis: Comprehensive reports, charts, and quote libraries generated within hours
6. Relationship management: Ongoing connection with experts maintained through your network

This streamlined process will reduce project timelines from weeks to days, sometimes even hours.

Who Benefits Most?

While this transformation will impact all research-intensive organizations, certain functions will see the most dramatic improvements:

• Product teams conducting discovery and validation research
• Marketing departments testing positioning and messaging
• Pricing specialists gathering feedback on monetization strategies
• Strategy consultants validating hypotheses with industry experts

Organizations that embrace these changes earliest will gain significant advantages in speed-to-insight and cost efficiency.

The Path Forward: Preparing for the New Reality

To position your organization for this future, consider these steps:

1. Audit your current research stack: Evaluate how much you're spending on brokered access
2. Explore direct recruiting technology: Investigate platforms that leverage your existing networks
3. Experiment with AI synthesis: Test how machine learning can accelerate your insight generation
4. Build a connection strategy: Develop protocols for maintaining relationships with valuable experts

Conclusion

The expert call of 2026 will bear little resemblance to today's model. By embracing network ownership over rented access, leveraging AI for acceleration, and benefiting from dramatically lower costs, organizations will gain unprecedented ability to gather expert insights quickly and efficiently.

The question isn't whether this transformation will happen—it's whether your organization will be at the forefront of the change or playing catch-up to more agile competitors. Those who move first will build lasting advantages in the form of proprietary expert networks that deliver faster, cheaper, and more targeted insights.