The way forward for work will grow 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 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 method 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 in the present day, then challenge the place they’ll take the market over the following few years.
What the info reveals — and the predictions for tomorrow
In August 2025, G2 carried out a fastidiously designed survey of a consultant pattern of B2B software program consumers and influencers. We additionally carried out greater than 40 interviews with expertise leaders throughout main industries to realize a deeper understanding of the context. Lastly, we analyzed knowledge from G2 Opinions 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 corporations could 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 elevated efficiencies.
In our newest report, we documented enterprise spending on brokers throughout industries, together with an 83% satisfaction price with their efficiency so far. Interviews revealed a rising need to increase use instances and make investments much more in knowledge and expertise. This factors to a different blockbuster 12 months for brokers, probably pushing them previous the 40% compound annual progress price (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 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, it will require better funding in AI orchestration as brokers cross boundaries and platforms. Brokers may even want tight orchestration with robotic course of automation (RPA) methods and knowledge repositories to maximise effectivity.
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 carry collectively many transferring components. Whereas some market analysis corporations challenge a $30 billion market by 2030, developments strongly recommend it’ll 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 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 companies to create and oversee guardrails for AI brokers reasonably than counting on distributors or platforms to attenuate dangers and errors. The 65% CAGR predicted for this class won’t solely come true; it might show to be an underestimate.
Our report revealed that almost two-thirds of corporations 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 supply agent assessments, policy-recommendation companies, developer instruments, and associated options — all pointing to a brand new layer within the agentic house: danger 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 price of possession (TCO), coupled with a excessive failure price. Platforms equivalent to Agentforce, ServiceNow, and Copilot are advancing in talent 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, virtually one in 4 in-house launches produced no significant outcomes within the first 12 months. Whereas it is smart on paper to regulate your personal knowledge and future by constructing an inside agentic system, in observe, it’s difficult to employees 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 grow 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 primarily based on present giant language fashions (LLMs) and knowledge capabilities. This required staff to judge agent actions earlier than or after the very 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 price financial savings by belief. Whereas brokers remove repetitive, low-value work, the act of evaluating them will quickly grow to be “the brand new boring.”
As brokers generate a digital labor power, new roles equivalent to agent boss, area professional, agent coach, and agent auditor will emerge — probably stuffed 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 progress 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 recent ones to interchange them.
