Google Cloud: How AI Will Reshape Enterprise Tech in 2025

AI has moved from consumer applications like streaming recommendations and digital assistants into the core of enterprise operations. Now Google Cloud has predicted that 2025 will mark a turning point in how businesses deploy AI technology.

The shift comes as organisations move beyond experimental projects to implement AI systems that address specific business challenges. These range from multimodal systems that process multiple types of data simultaneously to autonomous agents that manage complex workflows.

“From personalised recommendations on your favorite streaming service to AI-powered agents that help you plan your day, AI is already changing our lives,” says Oliver Parker, Vice President of Global Generative AI Go-To-Market at Google Cloud. “And for businesses, it's about to get even bigger: 2025 will be a pivotal year as AI transforms how companies operate, compete and innovate.”

Multimodal AI drives enterprise transformation

Oliver outlines how multimodal AI will enhance business operations next year. “This human-centric approach to AI is essential for businesses in an increasingly data-rich world,” he says.

In financial services, multimodal systems will analyse market commentary videos, examining non-verbal signals alongside spoken content. Manufacturing firms will use the technology to process sensor data for predictive maintenance, enabling more efficient operations.

AI agents – autonomous software systems that can perform complex tasks – will manage workflows and automate processes across industries. These systems will provide consistent customer support across digital and physical channels while streamlining internal operations. “Customer agents will provide support with a consistent experience across channels – in person, online and mobile,” Oliver explains.

Enterprise search evolution transforms knowledge access

In 2025, Google Cloud predicts that enterprise search technology will evolve beyond keyword queries to understand images, audio and natural language, transforming how organisations access internal knowledge. Financial institutions will customise searches by employee role, while healthcare providers will implement systems that comprehend medical terminology.

“Enterprise search systems are no longer limited to keyword-based queries. People will now be able to use images, audio, video and conversational prompts to quickly access and use internal data,” says Oliver. This transformation in search capability will enable organisations to unlock value from previously inaccessible data sources.

Security concerns drive AI innovation

Security applications of AI will also expand as organisations seek to combat increasingly sophisticated threats. "In 2025, AI will help bolster defenses, identify and combat threats, automate manual security tasks and accelerate response times. However, this also leads to an arms race between defenders and attackers, as adversaries leverage AI for more sophisticated attacks," says Oliver. Financial firms will deploy AI to detect document fraud, while media companies will use the technology to identify deepfake content.

The security landscape requires organisations to maintain vigilance as threat actors develop new capabilities. Manufacturing companies will implement AI systems to protect sensitive data and identify potential risks before they materialise into threats.

Customer experience shapes technology investment

Retail and manufacturing sectors will increase AI investment to enhance customer interactions. Retailers will implement personalised shopping experiences across online and physical stores, while manufacturers will optimise production processes and after-sales support.

“AI-powered solutions are changing the customer experience, in part by anticipating customer needs and helping businesses stay connected to their customers,” says Oliver. “This translates to increased revenue, efficiency and brand loyalty.”

The transformation extends to personalised recommendations and enhanced search capabilities that understand customer intent. In retail environments, AI systems will create seamless experiences across all shopping channels, from online platforms to physical stores.

Cross-industry impact drives adoption

The impact of AI extends beyond individual sectors, creating opportunities for innovation across industries. Healthcare organisations will use AI to process complex medical information, while financial services firms will deploy the technology to analyse market sentiment and detect fraudulent activities.

“In financial services, this could involve analysing market commentary videos and considering non-verbal cues, like tone of voice and facial expressions, alongside the spoken words for a more nuanced understanding of market sentiment,” Oliver notes. 

The manufacturing sector will see AI deployment across multiple operational areas, from production optimisation to maintenance scheduling. “Manufacturers will use AI to improve production and customer service,” he says.

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