Consulting Research Digest — May 2026

A roundup of new research from McKinsey, BCG, Accenture, and Deloitte published this month, organized by theme. Each entry covers the central argument and the numbers that matter.

MGI's Europe report on AI, agents, and workforce skills. 1

MGI's latest Europe-focused labor study argues that AI will not hollow out the workforce so much as restructure how skills get used. The headline finding: most skill categories will remain in demand, but the way people deploy them — increasingly in collaboration with intelligent machines — will change substantially. 1

Accenture frames human-AI collaboration as a new economic unit. The report claims measurable gains when organizations pair employees with AI systems rather than substituting one for the other, and explicitly calls out the gap: only 11% of companies currently have the infrastructure to run effective "co-learning" — a sustained process of humans and AI systems adapting to each other over time. 2

Deloitte's enterprise survey puts a number on the governance gap that AI practitioners have been describing in qualitative terms: only 21% of multinational organizations have mature governance frameworks in place for agentic AI risks. The implication is that most AI deployment is outrunning the oversight structures meant to contain it. 3

Deloitte's annual technology forecast argues that 2026 marks a transition from experimentation to value delivery. The five trends the report identifies center on implementation discipline — the same tools that were "pilots" twelve months ago are now expected to produce measurable outcomes or get cut. 3

BCG's flagship wealth report identifies a divergence in global financial wealth: markets that can generate wealth at scale are separating from those dragged down by political and macroeconomic uncertainty. The framing — "reordering" rather than "growth" or "contraction" — reflects a view that money is moving between markets more than it is being created or destroyed. 4

A companion chapter to the main wealth report focuses on how AI is widening the gap between two business models in wealth management: practices built on repeatable, standardized advice, and those built on complex, trust-driven client relationships. AI advantages the second type more than the first, according to BCG's analysis — a counter-intuitive finding given that automation typically favors standardized processes. 4

A third chapter in the same series addresses intergenerational wealth transfer, which BCG describes as the largest in history. The argument is that this transfer will reshape both family businesses and the wealth management industry across multiple generations. 4

McKinsey's 2026 Global Banking Annual Review. 1

McKinsey's annual banking review says 2025 continued the industry's strong run and identifies a structural shift in customer ownership as the defining challenge ahead. The review's argument is that AI is pushing banks to become "multi-speed organizations" — capable of running mature, slow-changing operations and fast-moving AI deployments simultaneously. 1

Accenture's banking outlook focuses on three forces reshaping customer experience and growth: agentic AI (AI systems that act autonomously on behalf of customers), "intelligent money" (AI-managed financial products), and intensifying competitive pressure from non-bank entrants. 2

Deloitte's quarterly U.S. outlook holds that AI investment can support near-term GDP growth, but flags that non-AI companies and households face meaningful headwinds from geopolitical friction and uncertainty. The Q1 read separates "AI-adjacent" economic actors from the broader economy, which is a useful analytical frame for understanding the divergence in corporate earnings this year. 3

BCG's consumer research identifies three behavioral patterns that Gen Z uses to reshape markets, with implications for brand strategy beyond that age cohort. The report argues that simplifying Gen Z to a set of cultural stereotypes misses the structural ways this cohort is changing purchasing behavior. 4

BCG's executive survey finds that CEOs are not treating AI as a primary source of strategic anxiety, even as AI accountability pressure increases. The report frames this as a risk-recognition gap — not that AI is unimportant, but that the accountability questions arriving in boardrooms have not yet translated into the same urgency as operational pressures. 4

Accenture's growth strategy research puts a market-size figure on the AI realignment: $27 trillion in market opportunity will flow to companies with what the report calls "value leader" characteristics. Six behaviors are identified as the differentiators, centered on faster monetization and AI-enabled innovation velocity. 2

McKinsey's geopolitics practice argues that trade-flow disruptions and shifting strategic priorities create an opening for CEOs who can read the landscape early and reallocate capital before competitors do. The report is less about predicting geopolitical outcomes than about building the organizational muscle to act quickly when the picture becomes clear. 1

Provider-led health plans in commercial insurance. 1

McKinsey's healthcare practice sizes the commercial group insurance opportunity for provider-led health plans at over $20 billion in potential revenue and $700 million in operating profit currently sitting uncaptured. Provider-led plans hold a small share of commercial group insurance today; the report's argument is that clinical integration advantages, if structured correctly, can close that gap. 1

Accenture's biopharma report argues that manufacturing — long treated as a back-office function — is becoming a source of competitive differentiation. The thesis is that production capabilities are now a factor in speed-to-market and regulatory positioning, not just cost management. 2

This report quantifies a coming workforce gap in U.S. supply chain: demand for core roles is projected to grow 19% by 2035, while labor supply will grow only 3.2%, creating a shortfall of approximately 1 million workers. Accenture argues that talent strategy needs to be elevated to a C-suite priority now, before the gap becomes a supply chain constraint. 2

MGI's U.S. manufacturing study asks how large a production expansion is needed to meaningfully reduce American trade dependence. The report does not argue for or against the policy goal; it calculates the scale of the industrial buildout required, which serves as a useful baseline for evaluating current industrial policy proposals. 1