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BCG provides global management consulting services across strategy, operations, digital transformation and organizational change for businesses, governments, and nonprofits. Teams of consultants, data scientists and industry experts work with client leadership to design and implement solutions, often embedding specialists inside client organizations. A key differentiator is BCG X, a technology build-and-design division that blends management consulting with product engineering, design and venture-building to develop and deploy technology-enabled solutions. Compared with traditional firms, BCG combines strategic advisory with hands-on product development and execution, spanning both the private and public sectors. The firm's explicit goal is to help clients achieve lasting performance improvements and sustainable impact by guiding transformation initiatives from strategy through implementation and, where relevant, through creating new digital products or ventures.
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What surprises are hiding in the latest retail AI numbers? September 15, 2026 News, tactics, career guidance, and technological developments for retail loss prevention professionals. The retail industry is not immune to all the hype surrounding artificial intelligence. Buzzwords abound: agentic AI, autonomous agents, agentic commerce, autonomous stores, self-driving supply chains, and even machines that shop on our behalf. The adoption numbers support the enthusiasm. NVIDIA's third annual "State of AI in Retail and CPG" survey found 91% of retail and CPG organizations now engaged with AI and 58% actively deploying, up from 42% in 2024. The IBM Institute for Business Value reports that 86% of retail and consumer products executives say AI already delivers a clear, measurable competitive advantage. Digging deeper into the latest research and acknowledging that retailers are adopting AI at different speeds, there is one key question that I want to answer in this article: What surprises are surfacing to date in the embrace of this disruptive technology? - Digital Partner - Here are my top five current surprises in the adoption of AI in the retail industry. Consumers trust the agent but still will not hand over the wallet. Accenture's 2026 Consumer Pulse research, covering 25,590 consumers across 16 countries, found that 74% would trust a personal AI agent more than their best friend to make a purchase. The same study's delegation dial tells a different story about behavior: 74% are ready for task execution, 32% for delegated decision-making, and 9% for fully autonomous purchasing. Ipsos, surveying 8,500 adults in 15 markets, arrives at nearly an identical number. Among AI-aware consumers, 27% already use AI for product research, and only 9% allow AI to make an autonomous purchase. Willingness collapses as price rises. In the US, 22% would let AI buy something under $10, and 8% would let it buy something over $250. My favorite statistic in the Ipsos research is this one: 62% of US consumers want AI brand-constrained, executing on brands and preferences they have already set, against 39% who want AI choosing on its own. Today AI is a preference executor. The preference creator role is still open. Most of the industry is standing in the shallow end. BCG, working with the Consumer Goods Forum, surveyed 39 senior CPG and retail executives in April 2026. 76% of CPG respondents remain in pilot or exploration mode, against only 18% scaling impact. Retail splits into two speeds, with 45% scaling and 40% barely started. LP Solutions The transfer of keys between departing and incoming employees might seem like a straightforward process, but it's riddled with potential risks. The autonomy picture is starker. 67% of respondents operate in what BCG calls copilot mode, where AI generates the insight and a human decides. Only 9% have reached autopilot, where AI executes inside guardrails. Closing that gap is worth 180 to 360 basis points of cumulative EBIT for retailers. Note that more than half of the companies surveyed do not formally measure ROI on their consumer AI investments at all. AI creates Work before it removes Work. Buried in the same BCG research is a number few boards have on a slide. Employees at AI-forward companies spend 52% more time reviewing and correcting AI output, drawn from BCG's AI at Work 2026 study of 11,749 workers. That review burden is a real cost, and it lands on the same teams already being asked to move faster. The bottleneck is data, and the failure mode is worse than being wrong. IBM quantifies the gap precisely. 64% of companies have data accessible to AI; 49% of it is usable, and just 26% is actually used by AI models. IHL Group's 2026 Inventory Distortion Study translates that into operating consequences. Fewer than 25% of retailers have deployed AI and machine learning in the applications most tied to distortion, yet those who have have seen 2.3x the sales growth and 2.5x the profit growth of non-deployers. IHL's warning about everyone else is the sharpest line in this year's research. Algorithms trained on bad inventory data produce confidently wrong forecasts, acted upon at scale. As agentic systems begin placing replenishment orders inside defined parameters, a data-quality problem stops being a reporting problem and becomes an execution problem running at machine speed. - Digital Partner - The differentiator is the executive, not the algorithm. A Dell session at NRF 2026, with panelists from Accenture, NVIDIA, and Everseen, quantified leadership engagement. Executives who invest in understanding AI see 2.5x the ROI of those who delegate the vision entirely. IBM's 2026 CEO Study of 2,000 CEOs across 33 geographies found chief AI officer adoption nearly tripled in a single year, from 26% to 76% of organizations. The same study found that only 25% of the workforce uses AI regularly on the job, even though 86% of CEOs believe employees have the skills. IBM calls that an organizational design failure rather than a skills gap. Two field examples land the point. Dollar Tree's directive to do something with AI produced a chatbot nobody used when it mattered. The fix came from leadership narrowing the problem to a custom model that tells district managers which stores need attention each day. And Amazon closed its remaining 15 Just Walk Out stores and pivoted to portable RFID lanes, a reminder that industrialized execution of proven technology beats the most impressive demonstration. The retail AI story of 2026 is a governance story wearing a technology costume. The winners are separating on data foundations, measurement discipline, and how deeply their own leadership teams understand what they are buying. Boards that ask about model capability are asking the second question. The first one is whether the data underneath is worth acting on. Happy AI building everyone, and here is to a smarter retail year ahead. News, tactics, career guidance, and technological developments for retail loss prevention professionals.
Global fintech sector revenues grow more than traditional banking. Link to Leaders August 19, 2026 The Global Fintech report concludes that the sector is recovering, with $504 billion in revenues and growth of 22%. The study "Global Fintech Report 2026: From Recovery to Resurgence" developed by Boston Consulting Group (BCG) in partnership with FT Partners, assesses the current state of the fintech sector and identifies the trends that will shape the next phase of fintech development. And one of its first conclusions is that, globally, the sector has entered a new phase of consolidation and growth, marked by greater profitability, operational discipline, and an increasingly relevant role in the transformation of financial services. It notes that in 2025, global fintech revenues exceeded $504 billion, a 22% increase year-over-year and an expansion rate more than four times higher than that of traditional financial institutions. According to the study, fintechs currently account for about 4% of global financial services revenues, a figure that confirms their evolution from an emerging segment to a sector with its own scale, still with ample growth potential. Several indicators confirm this maturity: 74% of the largest listed fintechs are already profitable, compared with 68% in the previous year, and the average operating margin (EBITDA) rose from 16% to 20%. Simultaneously, equity financing increased by 53% to $58 billion, following the return of investment to companies with more solid models, greater operational discipline, and sustained growth prospects. Last year, exit markets regained traction. The number of initial public offerings (IPOs) in the fintech sector grew 50% to 42 deals, while the global volume of mergers and acquisitions increased from $105 billion in 2023 to $184 billion in 2024 and $251 billion in 2025. Artificial Intelligence (AI) is also changing the way the sector competes. According to the report, fintechs that effectively apply this technology are achieving development productivity gains up to five times higher, with the most evident impact in areas such as engineering, risk assessment, compliance, and customer support. The true differentiator of AI lies in its ability to redesign workflows and operating models to generate concrete gains in efficiency, scale, and performance. Among the most relevant changes identified in the report is the progressive narrowing of the regulatory gap between banks and fintechs. For example, in the US, the UK, and the European Union (EU), licensing processes and obtaining banking status are becoming more accessible, albeit accompanied by requirements in terms of governance, risk, compliance, and supervision. In the past year, several large-scale fintechs have moved forward with applications for federal banking licenses in the US, seeking to reduce funding costs, gain greater control over product offerings, and strengthen the direct relationship with customers. The study also highlights that the number of federal banking license applications and new deposit institutions increased more than fivefold between 2024 and 2025, signaling a growing approach of fintechs to the traditional regulatory perimeter. The report by Boston Consulting Group and FT Partners also highlights the evolution of neobanks as one of the most structuring dynamics of the next phase of the sector. The main operators are expanding their value proposition to areas such as credit, investment, insurance, international transfers, and savings solutions for clients with greater financial capacity - moving from single-product models to more complete financial platforms, with greater ability to deepen customer relationships. Consumer credit, in particular, emerges as one of the most relevant expansion fronts. As Pedro Pereira, Managing Director & Senior Partner at BCG Lisbon, points out, "the fintech sector is no longer a promise of disruption but has become a structural pillar of the financial system, registering growth 4x higher than incumbents."
The reality behind viral Indian influencer income claims. ₹4.2 crore a year from a paid Instagram subscription - that's what fitness creator Soniya Singh Khatri (Fitgirl_08) reportedly pulls in monthly, before platform fees. Conor Dalziel, Audio & Playback Reviewer·updated August 18, 2026 Subhashree Sahu, before her account was taken down, was clocking roughly ₹2.7 crore annually from premium subs alone. The screenshots aren't fabricated. What's missing from the mix, though, is the frequency the glossy posts don't show: only 8 to 10 percent of India's 2 to 2.5 million active digital creators actually monetize their content effectively, according to a Boston Consulting Group report released at the WAVES 2025 summit in Mumbai. Treat those "I earned five lakh with 10,000 followers" reels the way you'd treat a mastered track - listen for what's been EQ'd out. The boom, the report, the 8 percent caveat. The macro mix is genuinely loud. India's creators currently influence over $350 billion in consumer spending annually - a figure the same BCG report expects to surpass $1 trillion by 2030. Direct revenues from the ecosystem sit at an estimated $20 to $25 billion today and are projected to reach $100 to $125 billion by the end of the decade. A 2024 EY report projected the influencer marketing sector crossing Rs. 3,375 crore by 2026, growing at roughly 18 percent a year, and found that 86 percent of influencers surveyed expected their income to rise significantly within two years. The layering underneath that headline is more textured. Business strategist Dhatri Bhatt, who structures brand-influencer partnerships, has spoken about a popular creator who went from Rs. 30,000 per post to Rs. 3 lakh per post within a couple of years, while established fashion creators routinely charge anywhere from Rs. 75,000 to Rs. 10 lakh per post. Content creator Neha Tanti posted an Instagram reel in April 2026 calling out influencers who broadcast dreamy earnings stories, arguing that the practice gives false hope to people considering content creation as a career. The subscription stack. The latest surge is happening on paid Instagram subscriptions, where the per-subscriber math stacks differently than brand deals. LiveMint's tally of top earners reads like a frequency chart: Subhashree Sahu reportedly had nearly 6,000 premium subscribers paying ₹399 monthly - translating to an estimated ₹23 lakh a month, or roughly ₹2.7 crore a year before deductions. Fitgirl_08 leads the pack with 9,071 subscribers at ₹390 each, generating around ₹35.4 lakh monthly and ₹4.2 crore annually. Muskan Karia (~₹20.1 lakh a month), actress Neha Sharma (~₹20.2 lakh), Rhiya Ahir (~₹15.26 lakh despite a ₹140 price point), Sofia Ansari (~₹11 lakh), and Aditi Mistry (~₹6.89 lakh) round out the tier. A crucial tonal note: these are gross estimates. Instagram's platform fees on subscriptions aren't factored in, so actual take-home compresses considerably. Paid tiers also tend to host more provocative material than public feeds - bedroom-style vlogs, suggestive outfits, flirtatious livestreams - which is part of the value proposition for subscribers and part of why some creators allegedly use subscriptions as teasers before funnelling fans toward external premium platforms. Before you cue up the resignation letter. Cross-check any creator's claims against actual subscriber counts, engagement rate, and churn. Remember that the 86 percent income-rise expectation in the EY survey is a survey of people already inside the industry, not a probability forecast for someone starting from zero. And note that even within the paid-subscription economy, the top earners sit in a narrow band of niche content that wouldn't fly on a public grid. For context on where the broader Indian audio industry sits alongside the creator boom: headlines point to a reported ₹350 crore annual sync revenue loss facing the music business. The influencer economy is amplifying the cultural conversation; the recorded music side is still trying to find its mix in the new arrangement. Both tracks are worth tracking as the WAVES-era creator economy heads toward that $1 trillion projection.
Indian banks shift from AI experimentation to scale, focus on credit, productivity and risk. ANI 13 Aug 2026, 01:02 GMT+ New Delhi [India], August 12 (ANI): Indian banks are moving rapidly from experimenting with generative artificial intelligence (GenAI) to deploying it across core operations, but scaling these initiatives remains the key challenge, according to the report released by FICCI, Boston Consulting Group (BCG) and the Indian Banks' Association at FIBAC 2026. The report noted the banking sector's AI playbook is increasingly centred on four priorities - democratising credit, unlocking productivity, building risk capabilities and expanding AI-led customer engagement. It shows that the share of banks with GenAI use cases under implementation has risen sharply, while GenAI has become a top-three strategic priority for a significantly larger proportion of Indian financial institutions. However, data and infrastructure readiness, talent and skills shortages, regulatory and governance concerns, and uncertainty over returns remain major barriers to wider adoption. One of the biggest opportunities lies in transforming the credit journey through agentic AI. Banks could potentially reduce turnaround times by 50-90% by deploying AI agents across application, document processing, identity verification, credit assessment, fraud detection, collateral verification, sanction and disbursement. The report also envisages more than 95% first-time-right processing, a 40-60% reduction in operating costs and a 20-30% reduction in credit mortality rates. On productivity, the report argues that the benefit of AI should extend beyond simple cost cutting. Banks can automate low-value and repetitive tasks, allowing relationship managers to redirect their time towards complex advisory, cross-selling, customer retention and relationship building. AI-assisted advisory can support activities such as next-best-product recommendations, personalised campaigns, early-warning alerts and collections. At the same time, banks will need to strengthen their risk-management capabilities as the risk landscape expands beyond conventional credit risk. Geopolitical and climate risks require more granular modelling, while AI is making cyberattacks faster and cheaper. Rising digital interdependence is also increasing operational vulnerabilities, making machine-speed defence, real-time fraud monitoring and stronger operational resilience increasingly important. The report therefore suggests that the next phase of AI adoption will be less about isolated pilots and more about embedding intelligent, agent-led systems into the banking operating model while strengthening governance, infrastructure and risk controls. (ANI)
Why ABO Energy's Poland and Hungary sale to PPC prices a pipeline under restructuring. August 10, 2026 ABO Energy has agreed to sell its Hungarian and Polish subsidiaries in full to PPC, the Greek integrated utility. The transaction transfers a development pipeline of around 2 GW, five operational solar parks totalling 82 MW, a 17 MW solar farm nearing completion, and all 38 ABO Energy employees in the two countries, including the Szarvas solar park in Hungary commissioned in 2024. Terms were not disclosed and closing is expected by the end of the year, subject to regulatory approval. ABO Energy has been developing in both countries since 2019. The company is also in the middle of a formal restructuring, and that context sets the price. What is PPC acquiring from ABO Energy? PPC is acquiring both country subsidiaries as going concerns rather than buying assets out of them. That means the 2 GW development pipeline, 99 MW of operating and near-complete solar across six parks, and the entire 38-person team transfer together. Terms were not disclosed. Acquiring the corporate entities preserves the permitting relationships, landowner agreements and grid queue positions that sit inside them, and it hands PPC an operating platform in two markets without the delay of recruiting one. ABO Energy managing director Karsten Schlageter framed the sale as focusing on countries where the company can achieve sustainable long-term commercial success, following earlier disposals of its Greek subsidiary and most of its Finnish wind pipeline. What does restructuring mean for a project developer? Restructuring here refers to renegotiating a company's debt and capital structure with its lenders rather than to a simple reorganisation. ABO Energy has entered a standstill agreement under which its financing partners agreed not to enforce termination rights while a restructuring plan is negotiated, commissioned a restructuring report from an external consulting firm, appointed a chief restructuring officer, and in June 2026 engaged Boston Consulting Group on the equity side and Rothschild as financial adviser to the financing partners on balance sheet restructuring. For a developer, that situation changes the economics of every disposal. Pipeline is an illiquid asset that consumes cash while it matures, so a company under lender scrutiny sells it to stop the outflow and demonstrate progress, which is a different objective from maximising value per megawatt. Why sell whole countries rather than individual projects? Because selling projects one at a time takes longer than a restructuring timetable allows. A country subsidiary can be marketed once, diligenced once and closed once, whereas a 2 GW pipeline broken into individual assets would run for years and leave stranded overheads behind at each stage. Selling the entity also removes the local cost base, since the 38 employees move with the business rather than becoming a redundancy provision. The trade-off is price. A single buyer taking two countries, a pipeline, an operating portfolio and a team has very limited competition, and the seller has a disclosed reason to transact. Sequencing matters too: Greece went first, then most of the Finnish wind pipeline, now Poland and Hungary, each disposal narrowing the group to the markets it intends to keep. Enerdatics' data shows what ABO Energy's pipeline has been fetching. The company ranks third among European wind sellers since the start of 2024 in Enerdatics' records, with 10 disposals covering 6,476.7 MW but only $81.98 million of disclosed value across the set, a blended figure of roughly $12,700 per MW. The Finnish transaction gives the clearest single reading: a 4.4 GW portfolio of 29 wind projects sold to Fortum for €40 million on a cash and debt-free basis, which works out at about €9,100 per MW, or roughly $0.01 million per MW. Set that against Enerdatics' benchmark of $0.12 million per MW for Italian early-stage solar and $0.05 million per MW for European development-stage standalone batteries, and the Finnish pipeline cleared at roughly a tenth of the former and a fifth of the latter. Early-stage pipeline is cheap everywhere, but that is cheap even by the standards of early-stage pipeline. What does the deal signal for European development? The deal signals that development pipeline is the first thing to go when a developer's balance sheet comes under pressure, and that it goes cheaply. Pipeline carries no contracted revenue, consumes cash through permitting and grid studies, and cannot be refinanced against, so it is exactly the wrong asset to hold through a restructuring. Buyers with utility balance sheets are the natural counterparties, which is why PPC is on the other side. Expect more European developers to be tested on the same maths as auction pricing tightens and construction costs stay elevated, and expect pipeline valuations in distressed sales to sit well below the developer premiums recorded in ordinary transactions. For PPC the acquisition consolidates a position it has been building quickly. The company bought the 57.47 MWp Kira solar project in Hungary from Greenvolt Group in July 2026 and agreed a 277.3 MW wind and solar portfolio in Poland from EDP Renewables days later, and this transaction adds 2 GW of pipeline, an operating base and a local team in both of those same markets. Buying assets, then buying the developer, is a fast way to turn two market entries into two operating businesses. Key takeaways. * ABO Energy agreed to sell its Hungarian and Polish subsidiaries to PPC, transferring around 2 GW of development pipeline, 82 MW of operating solar across five parks, a 17 MW project nearing completion and all 38 employees. Terms were not disclosed. * The sale follows disposals of ABO Energy's Greek subsidiary and most of its Finnish wind pipeline, and runs alongside a formal restructuring involving a lender standstill agreement, a chief restructuring officer, and advisers appointed in June 2026. * Enerdatics ranks ABO Energy third among European wind sellers since the start of 2024, with 10 disposals covering 6,476.7 MW but only $81.98 million of disclosed value, roughly $12,700 per MW blended. * The company's 4.4 GW Finnish wind portfolio sold to Fortum for €40 million cash and debt-free, about €9,100 per MW, against Enerdatics benchmarks of $0.12 million per MW for Italian early-stage solar and $0.05 million per MW for European development-stage batteries. * PPC has now made three moves in these markets within weeks, following the 57.47 MWp Kira solar acquisition in Hungary and a 277.3 MW portfolio agreed with EDP Renewables in Poland. Frequently asked questions. How much is PPC paying for ABO Energy's Polish and Hungarian subsidiaries?Terms were not disclosed. For context, Enerdatics records ABO Energy's 10 European wind disposals since the start of 2024 as covering 6,476.7 MW with $81.98 million of disclosed value, roughly $12,700 per MW, and its 4.4 GW Finnish wind portfolio sold to Fortum for €40 million, about €9,100 per MW. Why is ABO Energy selling subsidiaries?ABO Energy is pursuing a restructuring and financing solution with its lenders, having entered a standstill agreement, commissioned a restructuring report and appointed a chief restructuring officer. It has sold its Greek subsidiary and most of its Finnish wind pipeline, and says it is focusing on markets where it can achieve sustainable long-term commercial success. What exactly transfers in the transaction?Both country subsidiaries transfer as going concerns, including a development pipeline of around 2 GW, five operational solar parks totalling 82 MW, a 17 MW solar farm nearing completion, and all 38 ABO Energy employees in Poland and Hungary. Closing is expected by the end of 2026, subject to regulatory approval. Ready to get deal-ready answers in seconds? Try Enerdatics Leap AI and access verified intelligence across M&A, financings, PPAs, projects, and energy market developments through natural language. Want to explore the full Deal analysis? Enter your business email to access deeper insights on project activity, developers, and market trends.