The future of AI towards 2030

What is changing, what remains uncertain and how do you prepare?

Artificial intelligence is developing at a rapid pace.

AI systems can now write text, produce images, develop software, analyse data and support increasingly complex work.

At the same time, businesses, professions, education and legislation are changing.

But how far can AI really get by 2030? Which tasks could change? What opportunities arise for entrepreneurs, and which existing business models could come under pressure?

And perhaps more importantly: how do you prepare for developments when no one knows for certain how quickly they will happen?

This FOREFACT guide researches the future of AI towards 2030. With official research data, technological developments, labour market analyses, three future scenarios and concrete applications for people and businesses.

Not based on spectacular predictions, but on verifiable facts, well-founded expectations and clearly stated uncertainties.

Not just researching what AI may change. Understanding how you can prepare for those changes.

What you receive

The FOREFACT guide — 55 pages

• 30 chapters on the development of AI towards 2030.

• Research into AI models, intelligent agents, robotics, autonomous systems and multimodal technology.

• Dutch and international data on AI use and technological developments.

• Research into the impact of AI on employment, professions, skills and business processes.

• A Dutch sector analysis with ten different sector profiles.

• Four worked occupational analyses examining tasks, risks and changing skills.

• Three future scenarios: Cautious, Base and Accelerated.

• Seven fictional practical cases in which technological developments are translated into concrete decisions.

• Research into education, healthcare, science, digital media and social consequences.

• Explanations of energy consumption, data centres, chips and technological dependence.

• Analysis of the European AI Act, privacy, copyright, cybersecurity and liability.

• Financial examples, investment comparisons and risk checks.

• A future monitor with developments that can be followed between 2027 and 2030.

• Practical worksheets, decision protocols and a 90-day preparation plan.

The Excel workbook — 18 tabs

Alongside the guide you receive a practical Excel workbook to examine changes and organise your own preparation towards 2030.

Including:

• Personal task analysis and time tracking.

• Skills scan and development goals.

• Dutch sector comparison.

• Comparison of three future scenarios.

• Monitor for technological developments.

• Calculator for AI investments and potential time savings.

• Cash flow and payback calculations.

• Risk analysis and security check.

• Software supplier comparison tool.

• Test protocol with 25 test situations.

• Personal dashboard.

• A 90-day action plan.

• Annual planning and evaluation for 2027, 2028, 2029 and 2030.

The workbook contains automatic calculations and separate fictional example scenarios. Your own results are not automatically filled in with assumed outcomes.

Which developments are researched?

The guide covers the most important technological, economic and social areas of research.

AI technology and autonomous systems

How are AI models, agents, digital assistants and robots developing? Which tasks can these systems support and where do the limitations remain significant?

Employment and changing professions

Which tasks are technically susceptible to automation? Which skills are becoming more important? And why does exposure to AI not automatically mean that an entire profession disappears?

Business and the economy

Which existing business processes could change? Where could new services emerge? Which companies could gain an advantage and which business models may face more competition?

Education, healthcare and science

How can AI influence learning, research, medical support and knowledge development? And why do human judgement, safety and reliability remain important?

Legislation, privacy and digital security

Which European rules already apply, which obligations follow towards 2030 and what does this mean for organisations that develop or use AI?

Energy, infrastructure and dependence

What role do data centres, chips, electricity consumption and international technology companies play in the further development of AI?

Throughout, the guide distinguishes between what has actually been established, what external researchers expect and what remains uncertain for now.

Three scenarios towards 2030

No one can predict with certainty what AI will look like in 2030.

That is why FOREFACT researches three possible directions of development.

01. Cautious — Delayed adoption

AI continues to develop, but costs, reliability, infrastructure and regulation slow down its practical application.

02. Base — Broad but managed integration

AI becomes part of more and more existing programs and work processes. People remain involved in important checks and decisions.

03. Accelerated — More autonomous AI systems

AI agents and specialised systems can carry out larger parts of work processes, causing businesses, skills and responsibilities to change more quickly.

The scenarios are not predictions with guaranteed outcomes.

They help you compare different possibilities and make choices that can remain sensible even under uncertain circumstances.

Seven worked practical cases

The guide translates the developments researched into seven recognisable situations.

01. The administrative employee

Which tasks could change and which skills could become more important?

02. The accountancy firm

When can AI actually save time or costs, and when does human review remain necessary?

03. The online shop

How could AI personalisation, customer service and consumer trust change towards 2030?

04. The pupil and the teacher

What opportunities does AI offer for education, and when could independent learning actually come under pressure?

05. The healthcare institution

How can AI systems provide support without losing sight of medical responsibility or patient safety?

06. The creative professional

What changes for people who create text, images, videos or other creative products?

07. The installation company

When is a fixed automation enough, when is an AI step useful and when can a more autonomous AI agent be considered?

The practical cases contain scenario comparisons, financial or operational examples and concrete decision criteria.

All fictional figures and situations are clearly distinguished from actually measured research results.

From researching the future to preparing for it

The guide helps you translate technological developments into your own choices.

01. Understanding what we know today

Examine which AI developments are already measurable and which expectations for the future still lack sufficient evidence.

02. Assessing your work

Map out which tasks may change, which human skills remain important and where new knowledge may be needed.

03. Comparing opportunities and risks

Explore opportunities for your work or business, but also dependence on software, privacy risks and unexpected costs.

04. Assessing investments critically

Learn how to distinguish potential time savings, implementation costs, maintenance and actual financial consequences from one another.

05. Making a personal preparation plan

Decide which skills, systems or processes you want to explore and improve in the coming months.

06. Following developments towards 2030

Use measurable signals and annual evaluation moments to reassess earlier expectations.

Who is this guide for?

For people who want to understand how AI can influence their work and professional future.

For employees who want to develop their skills and be better prepared for changing work.

For entrepreneurs who want to explore which technological developments are relevant to their business.

For self-employed people and professionals who want to use AI without unnecessary risks or investments.

For students and people who are considering a course of study, a career direction or a new specialisation.

And for anyone who wants to look beyond the daily AI news, spectacular demonstrations and predictions about the future.

You do not need programming experience or specialist AI knowledge to understand the research.

What this guide does not promise

The future of AI cannot be predicted with certainty.

Technological breakthroughs may happen faster or more slowly than researchers expect. New legislation, economic conditions, energy constraints and social choices can influence its development.

A profession that can technically be supported by AI will not automatically disappear. Nor does the use of AI automatically lead to higher productivity, lower costs or additional profit.

The scenarios in this guide are research and decision models, not guaranteed predictions.

The financial examples are fictional and offer no guarantee of return.

The guide does not constitute personal investment advice and does not replace specialist legal, medical or financial advice.

FOREFACT offers independent research, verifiable information, practical comparisons and tools to help you better understand technological developments and support your own decisions.

From predictions about the future, to understanding what you can prepare for today.

FOREFACT. KNOW IT BEFORE IT COSTS YOU.

Digital product: PDF (55 pages) + Excel workbook (.xlsx, 18 tabs).

Both files are made available digitally after purchase.

Language: English