{"688044":{"#nid":"688044","#data":{"type":"news","title":"Grading 2025\u2019s Biggest Predictions and What They Signal for 2026","body":[{"value":"\u003Cp\u003EAt the start of 2025, forecasts were confident: Automation would accelerate, artificial intelligence (AI) adoption would surge, and the economic picture would clarify. A year later, the report card is mixed. Predictions were directionally right but overly optimistic about the speed of change.\u003C\/p\u003E\u003Ch5\u003E\u003Cstrong\u003EConsumer Behavior: Confidence Lagged; Spending Did Not\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EGrade: C\u003C\/strong\u003E\u003C\/h5\u003E\u003Cp\u003EConsumer forecasts were among the least accurate.\u003C\/p\u003E\u003Cp\u003E\u201cConsumer confidence started the year at low levels,\u201d says\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scheller.gatech.edu\/directory\/faculty\/bond\/index.html\u0022\u003ESamuel Bond\u003C\/a\u003E, associate professor of marketing in the Scheller College of Business. Many analysts expected households to pull back, particularly on discretionary spending. Instead, consumers kept spending \u2014 especially on travel, dining, and entertainment.\u003C\/p\u003E\u003Cp\u003EBond notes a persistent gap between sentiment and behavior. \u201cPeople expressed worry, but they did not significantly reduce spending.\u201d\u003C\/p\u003E\u003Cp\u003EHe also points to a major 2025 shift: the rise of AI \u201cshopping assistants.\u201d Rather than using search engines or retailer sites, consumers increasingly turned to tools like ChatGPT, Gemini, and other bots that consolidate search, comparison, and advice.\u003C\/p\u003E\u003Ch5\u003E\u003Cstrong\u003EAutomation Expectations: Progress Without the Breakthrough\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EGrade: B-\u003C\/strong\u003E\u003C\/h5\u003E\u003Cp\u003ESupply chain automation was expected to leap forward in 2025, but progress came in targeted pockets.\u003C\/p\u003E\u003Cp\u003E\u201c2025 did not deliver a broad, step-change leap in automation performance,\u201d says\u0026nbsp;\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/chris-gaffney\u0022\u003EChris Gaffney\u003C\/a\u003E, professor of the practice in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE). \u201cInstead, it delivered selective progress.\u201d\u003C\/p\u003E\u003Cp\u003EAutomation delivered the most value in tightly scoped environments with clear ownership, particularly in new distribution and manufacturing facilities. Semi-automated systems that supported human judgment and stabilized throughput outperformed complex retrofits that promised full automation.\u003C\/p\u003E\u003Cp\u003EForecasts missed by assuming technology alone could overcome workforce readiness, data gaps, and organizational complexity. \u201cThe gap between expectation and reality was less about technology and more about readiness to operate automated systems day-to-day,\u201d Gaffney says.\u003C\/p\u003E\u003Cp\u003EStill, Gaffney gives 2025 a B-, calling it \u201ca healthy, if humbling, outcome\u201d that reset expectations and clarified what actually matters heading into 2026.\u003C\/p\u003E\u003Ch5\u003E\u003Cstrong\u003EArtificial Intelligence: Adoption Advanced; Hype Outran Reality\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EGrade: Hard to define\u003C\/strong\u003E\u003C\/h5\u003E\u003Cp\u003ENo trend attracted more hype in 2025 than AI, and predictions routinely overshot reality.\u003C\/p\u003E\u003Cp\u003E\u201cThere\u2019s been so much hype around AI that keeping track of specific forecasts is difficult,\u201d says\u0026nbsp;\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/jorge-alberto-huertas-patino\u0022\u003EJorge Huertas\u003C\/a\u003E, a researcher in the ISyE. \u201cAI has grown in many different areas and scopes, but not at the pace it was hyped.\u201d\u003C\/p\u003E\u003Cp\u003ESome applications matured quickly, particularly code generation and AI tools embedded into existing platforms. \u201cClaude has grown very well with code generation, and Gemini has grown by integrating across the Google ecosystem,\u201d Huertas says.\u003C\/p\u003E\u003Cp\u003EOther highly touted areas lagged. \u201cAgentic AI was hyped, only to see many cases where engineers spent two or three times longer fixing errors from AI-generated code,\u201d he adds.\u003C\/p\u003E\u003Cp\u003EAI delivered the most value when narrowly applied to the right problems. Looking ahead, Huertas points to accuracy, guardrails, and regulation, rather than model capability, as the key constraints shaping AI\u2019s 2026 trajectory.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.scheller.gatech.edu\/directory\/faculty\/hsu\/index.html\u0022\u003EAlex Hsu\u003C\/a\u003E, associate professor in the Scheller College of Business, notes that business adoption is accelerating regardless. \u201cThe AI revolution is here to stay,\u201d he says. \u201cTech companies are investing hundreds of billions in large language models and data centers, while companies outside tech are using models to improve margins. This will heighten competition and put downward pressure on the labor market.\u201d\u003C\/p\u003E\u003Ch5\u003E\u003Cstrong\u003EEconomic Outlook: Forecasts Tested by Policy Volatility\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EGrade: C+\u003C\/strong\u003E\u003C\/h5\u003E\u003Cp\u003EEconomic predictions faced unusual turbulence in 2025, driven largely by rapid policy shifts.\u003C\/p\u003E\u003Cp\u003E\u201c2025 was a difficult year to forecast gross domestic product (GDP) growth given the immense number of changes in policy at the federal level,\u201d says\u0026nbsp;\u003Ca href=\u0022https:\/\/econ.gatech.edu\/people\/person\/b76871d2-194b-510a-b3cb-f6d4c7b16f0f\u0022\u003EDanny Woodbury\u003C\/a\u003E, lecturer in the School of Economics.\u003C\/p\u003E\u003Cp\u003EEarly forecasts projected solid growth in the first quarter, but GDP instead contracted slightly as government spending fell and imports surged following tariff announcements. \u201cForecasters did not foresee the magnitude of the shift in trade policy,\u201d Woodbury says, noting that projections only converged with reality weeks before official data releases.\u003C\/p\u003E\u003Cp\u003ELater in the year, export growth pushed GDP forecasts sharply higher, again catching analysts off guard.\u003C\/p\u003E\u003Cp\u003EHsu adds that inflation and unemployment will be the key indicators to watch in 2026 as the Federal Reserve balances price stability with employment amid rising bond yields and global fiscal pressures complicating the outlook.\u003C\/p\u003E\u003Ch5\u003E\u003Cstrong\u003EWhat Forecasters Should Adjust Going Forward\u003C\/strong\u003E\u003C\/h5\u003E\u003Cp\u003EAcross sectors, 2025 revealed a common blind spot: Predictions assumed smoother execution than reality allowed.\u003C\/p\u003E\u003Cp\u003EFor 2026, experts point to discipline over hype, operational readiness over technology promises, policy risk over static models, and actual behavior over stated intentions.\u003C\/p\u003E\u003Cp\u003EAs Gaffney puts it: \u201c2026 will reward operators who treat automation as a system to be run, not a solution to be bought.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAt the start of 2025, experts predicted rapid advances in automation, artificial intelligence adoption, consumer pullbacks, and clearer economic signals, but a year later the results are mixed. A review of 2025 forecasts shows that while predictions across AI, supply chain automation, consumer behavior, and the U.S. economy were largely directionally correct, they overstated the speed of change. Consumers continued spending despite low confidence, automation advanced in targeted applications rather than delivering broad breakthroughs, and AI adoption grew unevenly as hype outpaced real-world performance. Economic forecasts were repeatedly disrupted by policy volatility, trade shifts, and inflation pressures. Together, these outcomes suggest that 2026 will reward disciplined execution, operational readiness, and realistic expectations over overly optimistic predictions.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Experts provide a measured review of forecasts across automation, AI, consumer behavior, and the economy"}],"uid":"35798","created_gmt":"2026-02-05 16:17:54","changed_gmt":"2026-02-05 16:31:45","author":"Ayana Isles","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-02-05T00:00:00-05:00","iso_date":"2026-02-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679193":{"id":"679193","type":"image","title":"2026 predictions","body":null,"created":"1770306898","gmt_created":"2026-02-05 15:54:58","changed":"1770308012","gmt_changed":"2026-02-05 16:13:32","alt":"Businessman holding magnifying glass focusing on year 2026 with digital icons of innovation, AI, analytics, and global strategy. Concept of future planning, technology trends and vision. ","file":{"fid":"263324","name":"AdobeStock_1684428911.jpeg","image_path":"\/sites\/default\/files\/2026\/02\/05\/AdobeStock_1684428911.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/05\/AdobeStock_1684428911.jpeg","mime":"image\/jpeg","size":554430,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/05\/AdobeStock_1684428911.jpeg?itok=8Qk89EKv"}}},"media_ids":["679193"],"groups":[{"id":"1214","name":"News Room"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"139","name":"Business"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"2835","name":"ai"},{"id":"113741","name":"predictions"},{"id":"188571","name":"consumer behavior"},{"id":"290","name":"Economy"}],"core_research_areas":[],"news_room_topics":[{"id":"106361","name":"Business and Economic Development"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:aisles3@gatech.edu\u0022\u003EAyana Isles\u003C\/a\u003E\u003Cbr\u003ESenior Media Relations Representative\u003Cbr\u003EInstitute Communications\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}