About the paper
BCG AI Radar 2026 is a survey-based report on corporate AI investment, CEO ownership of AI transformation, and the rise of agentic AI.
It is based primarily on BCG’s 2026 AI Radar Survey of 2,360 executives, including 640 CEOs, across multiple industries and markets including the US, Europe, India, Japan, Greater China, the Middle East and Africa.
The methodology is original survey research, supplemented in places by BCG analysis, BCG client experience, and a separate BCG–MIT Sloan Management Review dataset.
Length: 29 pages
More information / download:
https://www.bcg.com/publications/2026/as-ai-investments-surge-ceos-take-the-lead
Core Insights
1. What is the central argument of the report?
The report argues that AI has moved from experimental technology investment to a strategic, CEO-level transformation agenda. BCG’s core claim is that corporate AI investment is not only increasing sharply, but is also becoming more durable: organisations are planning to keep investing even if near-term financial returns disappoint.
The clearest evidence is that projected AI investment has roughly doubled from 2025 to 2026, rising from around 0.8% to 1.7% of organisational revenue. At the same time, 94% of organisations say they will continue investing even if their AI initiatives do not pay off in 2026. Only 6% say they would pull back.
The deeper message is that BCG sees AI no longer as a CIO-led technology programme, but as a broad business transformation. This is why the report places so much emphasis on CEOs: 72% of CEOs surveyed say they are now the main decision maker on AI, twice the share reported the previous year.
2. What evidence does BCG provide that AI investment is becoming more serious and sustained?
BCG provides three main pieces of evidence.
First, AI investment as a share of revenue is projected to double in 2026. The report shows AI investment rising from about 0.6% of revenue in 2024, to 0.8% in 2025, and then to 1.7% in 2026. That is a significant escalation, especially because BCG notes that the average base revenue of the underlying companies has remained almost the same.
Second, the increase is broad-based across industries. The chart on page 7 shows all industries planning higher AI investment in 2026. Technology leads at 2.1% of annual revenue, followed by financial institutions at 2.0%, insurance and energy/utilities at 1.9%, consumer at 1.7%, and healthcare at 1.6%. Industrials and real estate are lower at 0.8%, but still show an increase.
Third, the commitment appears resilient. On page 5, BCG reports that 70% of respondents would “stay the course” or make strategic changes if AI does not deliver the desired financial impact in the next 12 months, while 24% would ramp up resourcing or invest in outside experts. That means disappointment would not necessarily reduce investment; for many organisations, it could trigger more disciplined or more aggressive implementation.
3. How is leadership of AI changing inside organisations?
The report’s second major argument is that AI transformation is becoming CEO-led rather than CIO-led. This is one of the most important shifts in the deck.
BCG reports that 72% of CEOs say they are the main decision maker on AI in their organisation, twice the level from the previous year. It also reports that 82% of CEOs are more optimistic about AI’s ability to deliver ROI than they were 12 months earlier.
The report goes further by linking AI success to CEO job security. Half of surveyed CEOs believe their job stability depends on getting AI investments and strategy right by 2026. That is a striking framing: AI is not presented merely as a productivity tool, but as a defining test of executive leadership.
BCG also shows that CEOs express stronger conviction than other executive groups. On page 13, CEOs are slightly ahead of CIOs/CTOs in saying they are ready to lead an AI transformation, confident AI will pay off, and expecting major role disruption by 2030. The implication is that AI is becoming a top-management issue because it affects operating models, workforce design, competitive advantage, and future business models.
4. What role does agentic AI play in the report’s argument?
Agentic AI is presented as the next major mechanism through which organisations expect to see measurable value from AI. BCG reports that around 90% of CEOs believe AI agents will enable their organisations to report measurable ROI in 2026, and that CEOs have committed more than 30% of their organisation’s 2026 AI investment to agentic AI.
The report describes agentic AI as both an opportunity and a risk. On cybersecurity, for example, 59% of leaders see AI agents as both a threat and an opportunity. The same capabilities that make agents useful — automation, scale, system access, continuous learning — can also make them dangerous if misused, hacked, or poorly governed.
The report also uses BCG–MIT Sloan Management Review data to show that AI applications are expected to take on broader roles in organisations. Currently, 26% of organisations say AI acts as an assistant; in three years, that rises to 61%. The expected role of AI as colleague, coach, mentor, rival, and even boss also increases substantially. This supports BCG’s point that agentic AI is not just a software upgrade; it changes how companies organise work, decision-making, and governance.
5. What does BCG believe separates leading CEOs from the rest?
BCG identifies three CEO archetypes: Followers, Pragmatists, and Trailblazers.
Followers, around 15% of CEOs, recognise AI’s potential but lack full conviction and make cautious early investments. Pragmatists, around 70%, are excited and confident but invest when they see clear value and lower risk. Trailblazers, around 15%, are the most committed group: they invest more heavily, upskill more of their workforce, spend more time deepening their own AI expertise, and are more confident that AI will deliver ROI.
The report’s most important distinction is that Trailblazers create a “positive flywheel”. They make AI and agentic AI a top priority, deepen their own AI literacy, commit capital at scale, upskill the organisation, and track measurable ROI. For example, Trailblazers spend around 60% of their AI budget on agentic AI, compared with 25% for Pragmatists and Followers. They also allocate around 60% of their AI budget to upskilling and retraining the current workforce, and report that around 70% of their workforce has been upskilled or reskilled on AI.
BCG’s practical conclusion is therefore quite direct: CEOs must act decisively. The final recommendation is a five-part agenda:
- Make AI a key priority
- Deepen AI literacy
- Commit investments at scale
- Upskill the organisation
- Track measurable ROI.
The report’s underlying assumption is that AI advantage will not come mainly from adopting tools, but from executive commitment, organisational redesign, workforce capability, and disciplined measurement.