The way forward for work will turn out to be more and more agentic. Belief would be the gate to AI agent adoption within the years forward. Alongside the best way, industries and enterprise fashions will probably 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 solution 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 information snapshots of at present, then mission the place they’ll take the market over the subsequent few years.
What the information reveals — and the predictions for tomorrow
In August 2025, G2 carried out a rigorously designed survey of a consultant pattern of B2B software program patrons and influencers. We additionally carried out greater than 40 interviews with know-how leaders throughout main industries to achieve a deeper understanding of the context. Lastly, we analyzed information from G2 Opinions throughout related classes. All of this analysis culminated in our newly revealed 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 corporations can have budgets of $5 million or extra for brokers, encompassing software program, companies, and staffing. About 10% of enterprise corporations will allocate $10 million or extra for brokers, particularly as their workflows mature and so they develop by means of elevated efficiencies.
In our newest report, we documented enterprise spending on brokers throughout industries, together with an 83% satisfaction price with their efficiency up to now. Interviews revealed a rising need to broaden use instances and make investments much more in information and expertise. This factors to a different blockbuster yr for brokers, probably pushing them previous the 40% compound annual development price (CAGR) projected by analysis corporations comparable to markets.us.
2. The AI orchestration market will explode.
We predict that the AI orchestration market will triple in dimension by 2027 to greater than $30 billion.
All indicators level to elevated enterprise reliance on multi-agent methods to spice up motion accuracy and end result high quality. Nonetheless, this may require larger funding in AI orchestration as brokers cross boundaries and platforms. Brokers will even want tight orchestration with robotic course of automation (RPA) methods and information repositories to maximise effectivity.
Just lately, G2 launched the AI Orchestration class, which most sources estimate as a $10–11 billion market. Anticipate this software program class to develop quickly as enterprises search conductor-like options to carry collectively many transferring elements. Whereas some market analysis corporations mission a $30 billion market by 2030, developments strongly recommend it is going to attain that dimension 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 had been messaging different brokers exterior their platforms or methods. This factors to speedy 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 companies to create and oversee guardrails for AI brokers relatively than counting on distributors or platforms to reduce dangers and errors. The 65% CAGR predicted for this class won’t solely come true; it could show to be an underestimate.
Our report revealed that almost two-thirds of corporations had been shocked by the extent of oversight required to handle brokers, regardless of vendor claims. Moreover, solely half of the patrons held agent distributors in excessive belief concerning reliability claims. Mix that with the widespread variety of extreme incidents, and it’s simple to see why demand for third-party guardrail companies is about to leap.
A rising variety of startups now supply agent assessments, policy-recommendation companies, developer instruments, and associated options — all pointing to a brand new layer within the agentic area: 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 end result from in-house construct packages delivering disappointing whole value of possession (TCO), coupled with a excessive failure price. Platforms comparable to Agentforce, ServiceNow, and Copilot are advancing in ability choices, end result 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, nearly one in 4 in-house launches produced no significant outcomes within the first yr. Whereas it is sensible on paper to regulate your individual information and future by constructing an inside agentic system, in follow, it’s difficult to workers and sustain with the trade’s speedy 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 turn out to be 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, corporations advised us that AI brokers required extra oversight than anticipated based mostly on present giant language fashions (LLMs) and information capabilities. This required staff to guage agent actions earlier than or after the actual fact, altering the character of their jobs. As fashions and information 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 means of belief. Whereas brokers remove repetitive, low-value work, the act of evaluating them will quickly turn out to be “the brand new boring.”
As brokers generate a digital labor drive, new roles comparable to agent boss, area professional, agent coach, and agent auditor will emerge — probably crammed by those that demonstrated judgment and experience in evaluations. Very similar to 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 all sorts and for the way forward for the SaaS trade. Whereas some fear that agentic disruption will make current merchandise out of date, it’s clear that it’ll additionally spark the creation of recent ones to exchange them.
