The way forward for work will develop into more and more agentic. Belief would be the gate to AI agent adoption within the years forward. Alongside the way in which, industries and enterprise fashions can be disrupted. As we close to the top of 2025, one burning query stays: how will agent adoption play out?
John Naisbitt, creator of “Megatrends”, fervently believed that “essentially the most dependable option to forecast the long run is to attempt to perceive the current.” His mindset was that the long run is embedded within the current.
And that’s how we take into consideration making AI predictions. We begin with high-quality knowledge snapshots of at present, then venture the place they’ll take the market over the following few years.
What the information reveals — and the predictions for tomorrow
In August 2025, G2 performed a rigorously designed survey of a consultant pattern of B2B software program consumers and influencers. We additionally performed greater than 40 interviews with know-how leaders throughout main industries to achieve a deeper understanding of the context. Lastly, we analyzed knowledge from G2 Critiques throughout related classes. All of this analysis culminated in our newly printed G2 Perception Report, A Leap of Belief: AI Brokers are Profitable Hearts and Wallets.
Listed below are 5 daring predictions for 2026 and past, based mostly on our G2 Analysis findings:
1. Enterprise mega-budgets will broaden the AI brokers market.
In 2026, greater than 35% of enterprise firms may have budgets of $5 million or extra for brokers, encompassing software program, providers, and staffing. About 10% of enterprise firms will allocate $10 million or extra for brokers, particularly as their workflows mature they usually develop by elevated efficiencies.
In our newest report, we documented enterprise spending on brokers throughout industries, together with an 83% satisfaction fee with their efficiency thus far. Interviews revealed a rising want to broaden use instances and make investments much more in knowledge and expertise. This factors to a different blockbuster yr for brokers, seemingly pushing them previous the 40% compound annual development fee (CAGR) projected by analysis corporations equivalent to markets.us.
2. The AI orchestration market will explode.
We predict that the AI orchestration market will triple in measurement by 2027 to greater than $30 billion.
All indicators level to elevated enterprise reliance on multi-agent techniques to spice up motion accuracy and consequence high quality. Nevertheless, this can require higher funding in AI orchestration as brokers cross boundaries and platforms. Brokers may also want tight orchestration with robotic course of automation (RPA) techniques and knowledge repositories to maximise effectivity.
Just lately, G2 launched the AI Orchestration class, which most sources estimate as a $10–11 billion market. Count on this software program class to develop quickly as enterprises search conductor-like options to convey collectively many transferring elements. Whereas some market analysis corporations venture a $30 billion market by 2030, developments strongly recommend it’ll attain that measurement three years forward of schedule.
Orchestration emerged as a top-three precedence amongst our know-how interviewees — and for some, a rising concern. Our report additionally revealed that greater than half of the businesses’ brokers have been messaging different brokers exterior their platforms or techniques. This factors to fast growth in agent-to-agent (A2A) and Mannequin Context Protocol (MCP) adoption, together with associated service choices.
3. A brand new class will emerge to create third-party guardrails for AI brokers.
By the top of 2026, greater than half of enterprises will use third-party providers to create and oversee guardrails for AI brokers quite than counting on distributors or platforms to attenuate dangers and errors. The 65% CAGR predicted for this class is not going to solely come true; it could show to be an underestimate.
Our report revealed that just about two-thirds of firms have been stunned by the extent of oversight required to handle brokers, regardless of vendor claims. Moreover, solely half of the consumers held agent distributors in excessive belief concerning reliability claims. Mix that with the widespread variety of extreme incidents, and it’s straightforward to see why demand for third-party guardrail providers is about to leap.
A rising variety of startups now provide agent assessments, policy-recommendation providers, developer instruments, and associated options — all pointing to a brand new layer within the agentic house: danger administration.
4. Agent builder platforms will broaden their lead over in-house builds.
By 2027, agent builder platforms will widen their lead over in-house builds, rising from a 3:1 ratio to five:1. This shift will outcome from in-house construct packages delivering disappointing complete value of possession (TCO), coupled with a excessive failure fee. Platforms equivalent to Agentforce, ServiceNow, and Copilot are advancing in ability choices, consequence high quality, and time-to-value.
Our report discovered in-house builds ranked final in satisfaction, time-to-value, high quality of actions, and ease of use. Notably, virtually one in 4 in-house launches produced no significant outcomes within the first yr. Whereas it is sensible on paper to regulate your individual knowledge and future by constructing an inside agentic system, in observe, it’s difficult to workers and sustain with the business’s fast tempo of change.
That is excellent news for incumbent SaaS giants, as greater than two-thirds are anticipated to supply agent builder platform capabilities by 2027.
5. Agent evaluators will develop into designers, elevating their worth within the workforce.
By 2028, one in 4 AI agent evaluators (human-in-the-loop) will transfer into higher-value (human-on-the-loop) roles. As talked about earlier, firms instructed us that AI brokers required extra oversight than anticipated based mostly on present giant language fashions (LLMs) and knowledge capabilities. This required staff to guage agent actions earlier than or after the actual fact, altering the character of their jobs. As fashions and knowledge enhance, oversight necessities will lower, creating higher-value alternatives for workers to leverage brokers throughout workflows.
Our report documented how human gates on actions drive wider deployment and scale value financial savings by belief. Whereas brokers get rid of repetitive, low-value work, the act of evaluating them will quickly develop into “the brand new boring.”
As brokers generate a digital labor power, new roles equivalent to agent boss, area skilled, agent coach, and agent auditor will emerge — seemingly crammed by those that demonstrated judgment and experience in evaluations. Very like how financial institution tellers developed from cash counters to customer support brokers to monetary advisors after the introduction of ATMs, the rise of brokers will elevate human work experiences.
Brokers are right here for our development constraints, not our jobs
We’re enthusiastic about what the rise of brokers means for companies of every kind and for the way forward for the SaaS business. Whereas some fear that agentic disruption will make present merchandise out of date, it’s clear that it’ll additionally spark the creation of latest ones to switch them.
