Its all about AI – unsere Key-Trends

The evolution of AI language models into intelligent agents is increasing the impact of AI and accelerating overall change. Our top trends:

AI Video Maximizes Impact & Efficiency

AI generates avatars as synthetic twins of real people that directly display text or voice input as video, enabling realistic videos, dramatically reducing effort, and can be personalized and used interactively based on the target audience and content.

Megatrend Humanoid Robotics

AI pushes robotics toward human-like machines that independently scan their environment and retrieve trained functions, allowing them to be immediately integrated into processes and commanded via voice or data flow. Robotics become intelligent through AI and enable entirely new business models.

Deep Search Consulting

Complex searches with structured result presentation replace consulting teams and strengthen one-man strategy departments. Big consultants will leverage their image and network advantages to assert themselves. Advertising agencies will be able to offer substantial advice.

Print Loses to Digital Local

Increasing acceptance of digital paywalls with demand-based offering levels is accelerating the decline in profitability of print media. Digital Local, as an untapped potential in the field, enables new business models that integrate news with events and affiliate marketing.

Artificial Intelligence — dead or alive

 Abstract thinking and strategic ability are the foundation for management to implement the AI transformation. This transformation will be ongoing—new AI models are constantly emerging. It's about nothing less than linking all corporate processes with AI. Without AI, there is no survival in competitive markets.

1) AI Turning Point – Facts for Marketing

AI transformation requires a critical review of business models and processes. What can be done automatically and what can be done manually across the entire chain: procurement, production, and sales with demand and supply management.

Strategy development involves 5 problem solutions: Competitive opportunity – options for product or service extensions

Knowledge advantage – what data do we have, what do we need?

Forecast quality – what can we forecast and how well?

Soft facts – which factors influence hard facts/results?

SWOT analysis – where is potential, where do we need to secure?

2) Stage 3 of AI Evolution: AI Agents – autonomous workflow

 With chat-based knowledge retrieval and co-pilots that think in the background, autonomous agents enable immediately visible productivity gains. Chat and co-pilot require prompting and thus the learning of query strategies with defined situations, goals, and conditions. AI agents are linked to processes and operate autonomously. To manage complexity, tasks are broken down into subtasks and logical results are developed using Reasoning Models, for which four basic models of human thought processes have been established: A) deductive (fact-based reasoning), B) inductive (observation-based probability), C) abductive (assumption-based logic), D) analogical (comparative similarity).

3) From Copilot to forward-thinking AI Agent

 Analyze, observe, predict, decide, act. The goal is productivity gains in all areas. AI-controlled workflows allow tasks to be solved dynamically and proactively, thus optimizing results. This contrasts with manpowered implementation, which completes tasks one at a time. Autonomous intelligent systems learn and adapt to situations. A game changer for process optimization.

4) AI Highlights for Marketing Projects & Communication

 Preparing and structuring knowledge are fundamental AI boosters for faster and better results. Notebook LM from Google AI organizes projects with AI control. From loaded documents, websites, videos, and audio, the AI creates expert knowledge with structured summaries, content surveys, FAQs, or a podcast dialogue: long PDFs can be listened to and questions can be asked.

PersonaGPT provides target group definitions with fictitious characters and, enriched with specific project data and creative considerations, enables concrete suggestions for customer communication. Depending on the data quality and the dialogue of ideas, concrete campaigns are defined and concept content is created.

5) Next: AI Browsers replace App Interfaces

 Instead of simply displaying content, a browser AI curates and evaluates website content and features, enabling interaction from navigation to transactions, even across multiple websites. Multimodal AI Systems can understand text and images like humans and act accordingly. The perspective: Browser AI will aggregate website features under its own interface, while users will operate apps indirectly via the AI GUI. The AI can evaluate content and offers according to user preferences, comparing features and prices. A visual API will emerge that analyzes, controls, and enhances apps. A shift in power will occur from the app provider to the browser provider, who can integrate features at the expense of the app and leverage their own existing data to do so.

6) Commerce – Monopoly Threat from Platforms

 On-demand production based on platforms with consumer-to-manufacturer AI models threatens local retailers, where buyers order product ranges with long lead times and, supported by AI, offer enormous depth of advice and offer comparison. Global scaling and AI logistics are creating competitive constellations that slow down providers without a digital end-to-end system. The beneficiaries are platforms that have access to customers and put pressure on manufacturers. Chinese low-cost providers have proven the principle. Other segments will follow.