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 way in which, industries and enterprise fashions might be disrupted. As we close to the top of 2025, one burning query stays: how will agent adoption play out?
John Naisbitt, writer of “Megatrends”, fervently believed that “probably the most dependable option to forecast the longer term is to attempt to perceive the current.” His mindset was that the longer term is embedded within the current.
And that’s how we take into consideration making AI predictions. We begin with high-quality information snapshots of as we speak, 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 performed a fastidiously designed survey of a consultant pattern of B2B software program consumers and influencers. We additionally performed greater than 40 interviews with expertise leaders throughout main industries to realize a deeper understanding of the context. Lastly, we analyzed information 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 Successful Hearts and Wallets.
Listed here are 5 daring predictions for 2026 and past, primarily based on our G2 Analysis findings:
1. Enterprise mega-budgets will increase 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, companies, and staffing. About 10% of enterprise firms will allocate $10 million or extra for brokers, particularly as their workflows mature and so they develop by way of elevated efficiencies.
In our newest report, we documented enterprise spending on brokers throughout industries, together with an 83% satisfaction fee with their efficiency so far. Interviews revealed a rising want to increase 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 fee (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 consequence high quality. Nevertheless, this can require better funding in AI orchestration as brokers cross boundaries and platforms. Brokers can even want tight orchestration with robotic course of automation (RPA) methods and information repositories to maximise effectivity.
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 components. 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 expertise 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 methods. This factors to speedy enlargement 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 slightly than counting on distributors or platforms to reduce dangers and errors. The 65% CAGR predicted for this class is not going to solely come true; it might show to be an underestimate.
Our report revealed that almost 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 simple to see why demand for third-party guardrail companies is ready to leap.
A rising variety of startups now provide agent assessments, policy-recommendation companies, developer instruments, and associated options — all pointing to a brand new layer within the agentic house: threat administration.
4. Agent builder platforms will increase 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 consequence from in-house construct applications delivering disappointing whole value of possession (TCO), coupled with a excessive failure fee. Platforms comparable 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 smart on paper to manage your individual information and future by constructing an inside agentic system, in apply, it’s difficult to employees and sustain with the business’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, firms instructed us that AI brokers required extra oversight than anticipated primarily based on present giant language fashions (LLMs) and information capabilities. This required staff to judge 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 way 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 advanced 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 type 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’s going to additionally spark the creation of recent ones to switch them.
