What’s Next for AI: Multimodal, Agentic, and Beyond

tech advancements Jun 30, 2025

Artificial intelligence is rapidly evolving from text-only tools to richer, multimodal and agentic systems that integrate text, images, video, audio, and code. This shift is unlocking new ways to optimize experiences, streamline operations, and spark breakthroughs across industries.

At the same time, organizations are moving past experimentation into real-world implementation — focusing on trust, governance, and scalable business value. Here are four key trends shaping AI in 2025 and beyond:

1. Multimodal AI Becomes the Standard

Multimodal AI combines data types like text, images, audio, and video to deliver more personalized, context-aware experiences.

In advertising, WPP uses multimodal AI to create campaign assets in minutes.
In automotive, Mercedes-Benz’s MBUX Virtual Assistant helps drivers find restaurants or get directions with conversational, voice-driven AI.

For professionals, this means future tools won’t just analyze text — they’ll interpret visuals, respond to voice, and generate content across formats, enhancing creativity and problem-solving.

2. Rise of Agentic Platforms

AI agents — software entities that can perceive, reason, and act — are moving from experimental tools to enterprise solutions.

Banco BV uses AI agents to securely navigate data and automate complex workflows.
Deloitte uses AI agents to surface insights hidden across documents, speeding analysis.

Agentic platforms help scale AI across teams and systems, making it easier for companies to bridge ideas to execution. For careers, this trend points to a demand for talent who can design, supervise, and refine these agents.

3. AI Stack Optimization

In 2025, the focus is shifting from “getting AI to work” to maximizing its performance and ROI.

Companies are now comparing models based on cost, accuracy, and speed to find the right fit.
LG AI Research cut costs by 72% and halved processing times by optimizing infrastructure.

This trend highlights the need for professionals who can evaluate models, understand business trade-offs, and drive continuous improvement.

4. Breaking Down Silos

Gen AI is democratizing access to tools, allowing more teams to experiment and innovate.

Google’s Gemini in Workspace brings AI directly into tools like Docs, Sheets, and Meet.
Freed from repetitive tasks, teams can focus on creative, strategic work.

For individuals, this means AI skills aren’t limited to technical roles — they’re becoming essential across marketing, operations, HR, and beyond.

Beyond 2025: AI Tackles Global Challenges

AI isn’t just reshaping business — it’s addressing complex global problems:

Google DeepMind’s AlphaFold is transforming drug discovery.
AI tools help researchers track asteroids or personalize education worldwide.

Final Thought: AI’s impact is moving fast, but its success still depends on human oversight, creativity, and ethical thinking. Staying curious, collaborative, and adaptable will remain the most valuable skills — no matter how advanced AI becomes.

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