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May 28, 2026

What are experts saying on what 'future of work' looks like for B2B and B2C in the next 2-5 years?

14 episodes9 podcastsJan 8, 2025 – May 24, 2026
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Over the next two to five years, the future of work will be defined by the integration of autonomous AI agents, or "digital labor," into core business operations [5, 12, 21]. This is viewed not as an incremental change but as a fundamental platform shift comparable to the PC or the internet, where workflows and software interfaces will be re-imagined [4, 9]. Experts predict a **five-year period** dedicated to building specialized agents for every business vertical and domain, with a clear playbook for their creation now emerging [2, 8, 11]. Adoption is expected to be rapid, with one Microsoft survey indicating that 82% of workers are confident they will use digital labor to augment their workforce capacity within the next 12 to 18 months [3, 5, 18]. This transition creates an urgent imperative for companies to become "frontier firms" that integrate human-agent teams, as AI-native competitors are projected to achieve significantly greater revenue per employee .

This operational shift will trigger a profound reconstitution of the workforce, altering job functions and required skills . Some predict significant unemployment within 12 months for lower-level tech roles like SDRs and content creators, as AI achieves parity in task execution . For remaining knowledge workers, the nature of their contribution will transform from direct execution to oversight and management. One perspective is that individual contributors will become managers of AI agent teams, with their primary value shifting to orchestration, critical judgment, and synthesis [5, 22]. A related but more specific view posits that human work will center on creating evaluations, rubrics, and quality assurance frameworks to govern AI performance [14, 16, 20]. Both views align on the automation of repetitive, procedural work—termed "thunking" or "Type 2" work—to free up human capacity for creative, strategic "thinking" [19, 23, 26]. This transition is expected to cause societal friction, with some predicting the primary public concern in the next **two to three years** will be AI models significantly outperforming humans at their jobs [6, 7, 13].

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The rise of AI agents will also reshape B2B and B2C business models and customer expectations. In the B2B space, a significant shift from traditional business process outsourcing (BPO) to outsourcing processes directly to AI is anticipated over the next decade . The very structure of companies could change, with specialized, single-function AI agents potentially operating as entire businesses, similar to today's API-first companies . For B2C and SaaS customers, expectations will heighten, with a growing demand for software that performs the majority of the work for the user, rather than simply facilitating it . This will force a move away from traditional applications toward comprehensive AI-native environments that serve as the primary workspace . The competitive landscape will be unforgiving, with a stark choice between integrating AI to achieve **4-10x greater revenue** per employee or being disrupted by those who do .

What the sources say

Points of agreement

  • Businesses will increasingly adopt AI agents, or 'digital labor', to work in partnership with human employees across all functions.
  • The nature of knowledge work is expected to shift from direct task execution to roles focused on managing, orchestrating, and evaluating AI systems.
  • AI is viewed as a fundamental platform shift, similar to the PC or internet, that will require businesses to re-imagine entire workflows rather than just automate existing tasks.

Points of disagreement

  • Experts offer varying timelines for significant impact, ranging from major job displacement in 12 months to widespread automation over 3-5 years or even 5-10 years.
  • While agreeing the human role will change, perspectives differ on the primary function: some emphasize creating 'evals' for AI, others a broader 'managerial' role, and some a focus on purely creative 'thinking' tasks.
  • There are different views on the future AI ecosystem, with some predicting a decentralized system of highly specialized, vertical-specific agents, while others speak more generally about automation.

Sources

WorkLabJUL 16, 2025

How AI agents are reshaping businesses & team dynamics | Microsoft CMO of AI at Work Jared Spataro

This source argues that businesses will soon operate with collaborative human-AI agent teams, transforming individual contributor jobs into managerial roles focused on orchestrating this 'digital labor'.

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a16z PodcastAUG 25, 2025

Aaron Levie and Steven Sinofsky on the AI-Worker Future

This source posits that the next five years will be defined by a fundamental platform shift towards building specialized AI agents for every business vertical.

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Unsupervised LearningJUN 4, 2025

Mercor CEO: Evals Will Replace Knowledge Work, AI x Hiring Today & the Future of Data Labeling

This source predicts that as AI surpasses human performance, much of knowledge work will shift from task execution to creating evaluations ('evals') to manage and quality-assure AI systems.

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WorkLabJUL 30, 2025

Statistician & Fortune 100 advisor on making smarter decisions with AI

This source predicts that AI will automate repetitive 'thunking,' creating a new management challenge to cultivate and measure creative 'thinking' in the workforce.

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Lenny's PodcastMAY 24, 2026

The AI paradox: More automation, more humans, more work | Dan Shipper

This source suggests the primary interface for knowledge work will shift from traditional applications to comprehensive AI environments, fundamentally changing workflows.

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