The 6 AI Trends That Will Actually Matter in 2026 - Progress Software

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Introduction

As we dive into 2026, the world of Artificial Intelligence (AI) is poised for significant advancements. With the rapid evolution of AI technologies, it’s essential to identify the trends that will have the most substantial impact on businesses and industries. In this article, we’ll explore the 6 AI trends that will actually matter in 2026, as highlighted by Progress Software. From Agentic AI Orchestration to Security, Governance & Controls, we’ll delve into the key aspects of each trend, providing practical examples and tips for implementation.

What is Progress Software’s Vision for 2026 AI Trends?

Progress Software, a leading provider of application development and digital experience technologies, has outlined six AI trends that will shape the future of businesses. These trends are designed to help organizations navigate the complexities of AI adoption, ensuring they maximize the benefits while minimizing the risks. The six trends are:

• Agentic AI Orchestration
• AI Coding
• Scaling Valuable AI
• Security, Governance & Controls
• Explainable AI (XAI)
• Human-AI Collaboration

Each of these trends is crucial for businesses to understand, as they will play a significant role in determining the success of AI initiatives in 2026.

Key Features of 2026 AI Trends

Agentic AI Orchestration

Agentic AI Orchestration refers to the ability of AI systems to manage and coordinate multiple AI models, ensuring seamless interaction and optimal performance. This trend is critical for businesses that rely on multiple AI applications, as it enables them to streamline their AI operations and improve overall efficiency. For example, a company using AI for customer service, marketing, and sales can use Agentic AI Orchestration to integrate these models, providing a unified and personalized customer experience.

AI Coding

AI Coding is the process of using AI to generate, test, and optimize code. This trend has the potential to revolutionize software development, enabling developers to create high-quality code faster and more efficiently. AI Coding can also help reduce bugs and errors, improving the overall quality of software applications. For instance, a developer can use AI Coding to generate code snippets, automating repetitive tasks and freeing up time for more complex and creative work.

Scaling Valuable AI

Scaling Valuable AI is about identifying and amplifying the most valuable AI applications within an organization. This trend requires businesses to assess their AI initiatives, determining which ones are driving the most value and scaling them up accordingly. For example, a company that has developed an AI-powered chatbot for customer support can scale this application to other areas of the business, such as sales and marketing, to maximize its value.

Security, Governance & Controls

Security, Governance & Controls are essential for ensuring the safe and responsible use of AI. This trend involves implementing robust security measures, establishing governance frameworks, and developing controls to mitigate AI-related risks. For instance, a company can use encryption and access controls to protect sensitive data used in AI applications, while also establishing clear guidelines and policies for AI development and deployment.

Explainable AI (XAI)

Explainable AI (XAI) is a trend that focuses on making AI decisions more transparent and interpretable. XAI enables businesses to understand how AI models arrive at their conclusions, ensuring that AI decisions are fair, reliable, and trustworthy. For example, a company using AI for credit scoring can use XAI to provide clear explanations of how the AI model arrived at its decision, helping to build trust with customers and regulators.

Human-AI Collaboration

Human-AI Collaboration is about designing AI systems that work in tandem with humans, augmenting their capabilities and enhancing productivity. This trend requires businesses to rethink their workflows and processes, identifying areas where human-AI collaboration can add the most value. For instance, a company can use AI to analyze data and provide insights, while human analysts interpret and act on those insights, making more informed decisions.

Pricing and Value Assessment

The pricing for AI solutions varies widely, depending on the specific technology, vendor, and implementation. However, as AI becomes more pervasive, we can expect to see more competitive pricing and flexible pricing models. When assessing the value of AI solutions, businesses should consider factors such as:

• Return on Investment (ROI)
• Total Cost of Ownership (TCO)
• Time-to-Value (TTV)
• Potential risks and liabilities

By evaluating these factors, businesses can make informed decisions about which AI solutions to adopt and how to prioritize their AI initiatives.

Pros and Cons of 2026 AI Trends

The 2026 AI trends outlined by Progress Software offer numerous benefits, including:

• Improved efficiency and productivity
• Enhanced customer experiences
• Increased competitiveness
• Better decision-making
• Reduced risks and liabilities

However, there are also potential drawbacks to consider, such as:

• Job displacement and skills gaps
• Dependence on high-quality data
• Cybersecurity risks and vulnerabilities
• Regulatory and compliance challenges

By understanding these pros and cons, businesses can develop strategies to mitigate the risks and maximize the benefits of AI adoption.

Alternatives to Progress Software’s 2026 AI Trends

While Progress Software’s 2026 AI trends provide a comprehensive framework for AI adoption, there are alternative perspectives and approaches to consider. Some of these alternatives include:

• IBM’s AI strategy, which focuses on hybrid cloud, AI, and data
• Microsoft’s AI vision, which emphasizes human-AI collaboration and responsible AI
• Google’s AI approach, which prioritizes AI research, development, and innovation

By exploring these alternative perspectives, businesses can gain a more nuanced understanding of the AI landscape and make informed decisions about their AI strategies.

Verdict

In conclusion, the 6 AI trends that will actually matter in 2026, as outlined by Progress Software, offer a compelling vision for the future of AI. By understanding and embracing these trends, businesses can unlock the full potential of AI, driving innovation, growth, and competitiveness. As AI continues to evolve and improve, it’s essential for organizations to stay ahead of the curve, prioritizing AI adoption and development to remain relevant in an increasingly AI-driven world.

FAQ

Q: What is Agentic AI Orchestration, and how does it benefit businesses?

A: Agentic AI Orchestration refers to the ability of AI systems to manage and coordinate multiple AI models. This trend benefits businesses by streamlining AI operations, improving efficiency, and enhancing overall performance.

Q: How can AI Coding improve software development?

A: AI Coding can improve software development by generating high-quality code, reducing bugs and errors, and automating repetitive tasks. This enables developers to focus on more complex and creative work.

Q: What is Explainable AI (XAI), and why is it important?

A: Explainable AI (XAI) is a trend that focuses on making AI decisions more transparent and interpretable. XAI is essential for building trust in AI, ensuring fairness and reliability, and complying with regulatory requirements.

Q: How can businesses prioritize their AI initiatives?

A: Businesses can prioritize their AI initiatives by assessing their AI applications, identifying areas of high value, and scaling those applications accordingly. This involves evaluating factors such as ROI, TCO, and TTV.

Q: What are the potential risks and liabilities associated with AI adoption?

A: The potential risks and liabilities associated with AI adoption include job displacement, cybersecurity risks, regulatory challenges, and dependence on high-quality data. Businesses must develop strategies to mitigate these risks and ensure responsible AI adoption.

Toolscout Team. (2026, March 30). The 6 AI Trends That Will Actually Matter in 2026 - Progress Software. ToolScout. https://toolscout.site/the-6-ai-trends-that-will-actually-matter-in-2026-progress-s-1774855551035

Toolscout Team. "The 6 AI Trends That Will Actually Matter in 2026 - Progress Software." ToolScout, 30 Mar. 2026, https://toolscout.site/the-6-ai-trends-that-will-actually-matter-in-2026-progress-s-1774855551035.

Toolscout Team. "The 6 AI Trends That Will Actually Matter in 2026 - Progress Software." ToolScout. March 30, 2026. https://toolscout.site/the-6-ai-trends-that-will-actually-matter-in-2026-progress-s-1774855551035.

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  author = {Toolscout Team},
  title = {The 6 AI Trends That Will Actually Matter in 2026 - Progress Software},
  year = {2026},
  url = {https://toolscout.site/the-6-ai-trends-that-will-actually-matter-in-2026-progress-s-1774855551035},
  urldate = {April 1, 2026},
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